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description Publicationkeyboard_double_arrow_right Article 2015 Canada EnglishElsevier BV WT | Salience network and coor..., UKRI | Cerebral recruitment duri...WT| Salience network and coordination of brain circuits in schizophrenia. ,UKRI| Cerebral recruitment during information processing in healthy individuals and in schizophreniaPalaniyappan, Lena; Mahmood, Jenaid; Balain, Vijender; Mougin, Olivier; Gowland, Penny A.; Liddle, Peter F.;pmc: PMC4604249
pmid: 26232240
Background: Persistent formal thought disorder (FTD) is one of the most characteristic features of schizophrenia. Several neuroimaging studies report spatially distinct neuroanatomical changes in association with FTD. Given that most studies so far have employed a univariate localisation approach that obscures the study of covarying interregional relationships, the present study focussed on the multivariate systemic pattern of anatomical changes that contribute to FTD. Methods: Speech samples from nineteen medicated clinically stable schizophrenia patients and 20 healthy controls were evaluated for subtle formal thought disorder. Ultra high-field (7. T) anatomical Magnetic Resonance Imaging scans were obtained from all subjects. Multivariate morphometric patterns were identified using an independent component approach (source based morphometry). Using multiple regression analysis, the morphometric patterns predicting positive and negative FTD scores were identified. Results: Morphometric variations in grey matter predicted a substantial portion of inter-individual variance in negative but not positive FTD. A pattern of concomitant striato-insular/precuneus reduction along with frontocingular grey matter increase had a significant association with negative FTD. Conclusions: These results suggest that concomitant increase and decrease in grey matter occur in association with persistent negative thought disorder in clinically stable individuals with schizophrenia.
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For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2018 CanadaCold Spring Harbor Laboratory EC | VirtualBrainCloud, EC | BrainModes, EC | HBP SGA2 +1 projectsEC| VirtualBrainCloud ,EC| BrainModes ,EC| HBP SGA2 ,CIHRShen, Kelly; Bezgin, Gleb; Schirner, Michael; Ritter, Petra; Everling, Stefan; McIntosh, Anthony R.;Models of large-scale brain networks that are informed by the underlying anatomical connectivity contribute to our understanding of the mapping between the structure of the brain and its dynamical function. Connectome-based modelling is a promising approach to a more comprehensive understanding of brain function across spatial and temporal scales, but it must be constrained by multi-scale empirical data from animal models. Here we describe the construction of a macaque (Macaca mulatta and Macaca fascicularis) connectome for whole-cortex simulations in TheVirtualBrain, an open-source simulation platform. We take advantage of available axonal tract-tracing datasets and enhance the existing connectome data using diffusion-based tractography in macaques. We illustrate the utility of the connectome as an extension of TheVirtualBrain by simulating resting-state BOLD-fMRI data and fitting it to empirical resting-state data. Design Type(s)data integration objective • source-based data transformation objective • modeling and simulation objectiveMeasurement Type(s)brain measurementTechnology Type(s)functional magnetic resonance imaging • Diffusion Weighted ImagingFactor Type(s)Sample Characteristic(s)Macaca • brain Machine-accessible metadata file describing the reported data (ISA-Tab format)
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu49 citations 49 popularity Top 1% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1101/480905&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2013 CanadaFrontiers Media SA Authors: Todd, Rebecca M.; Schmitz, Taylor W.; Susskind, Josh; Anderson, Adam K.;Todd, Rebecca M.; Schmitz, Taylor W.; Susskind, Josh; Anderson, Adam K.;It is well known that emotionally salient events are remembered more vividly than mundane ones. Our recent research has demonstrated that such memory vividness is due in part to the subjective experience of emotional events as more perceptually vivid, an effect we call emotion-enhanced vividness, or EEV. The present study built on previously reported research in which fMRI data were collected while participants rated relative levels of visual noise overlaid on emotionally salient and neutral images. Ratings of greater EEV were associated with greater activation in the amygdala, visual cortex, and posterior insula. In the present study, we measured BOLD activation that predicted recognition memory vividness for these same images one week later. Results showed that, after controlling for differences between scenes in low-level objective features, hippocampus activation uniquely predicted subsequent memory vividness. In contrast, amygdala and visual cortex regions that were sensitive to EEV were also modulated by subsequent ratings of memory vividness. These findings suggest shared neural substrates for the influence of emotional salience on perceptual and mnemonic vividness, with amygdala and visual cortex activation at encoding contributing to the experience of both perception and subsequent memory. © 2013 Todd, Schmitz, Susskind and Anderson.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fnbeh.2013.00040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu26 citations 26 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fnbeh.2013.00040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2013 CanadaElsevier BV WT | Core support for the Well..., WT | Learning and recovery of ...WT| Core support for the Wellcome Trust Centre for Neuroimaging ,WT| Learning and recovery of skilled finger movements.Authors: Diedrichsen, Jörn; Wiestler, Tobias; Ejaz, Naveed;Diedrichsen, Jörn; Wiestler, Tobias; Ejaz, Naveed;How do populations of neurons represent a variable of interest? The notion of feature spaces is a useful concept to approach this question: According to this model, the activation patterns across a neuronal population are composed of different pattern components. The strength of each of these components varies with one latent feature, which together are the dimensions along which the population represents the variable. Here we propose a new method to determine the number of feature dimensions that best describes the activation patterns. The method is based on Gaussian linear classifiers that use only the first d most important pattern dimensions. Using cross-validation, we can identify the classifier that best matches the dimensionality of the neuronal representation. We test this method on two datasets of motor cortical activation patterns measured with functional magnetic resonance imaging (fMRI), during (i) simultaneous presses of all fingers of a hand at different force levels and (ii) presses of different individual fingers at a single force level. As expected, the new method shows that the representation of force is low-dimensional; the neural activation for different force levels is scaled versions of each other. In comparison, individual finger presses are represented in a full, four-dimensional feature space. The approach can be used to determine an important characteristic of neuronal population codes without knowing the form of the underlying features. It therefore provides a novel tool in the building of quantitative models of neuronal population activity as measured with fMRI or other approaches. Highlights • Neural population activity represents external variables using multiple feature dimensions. • We present a general method to determine the dimensionality of this feature space. • Primary motor cortex represents force through a low-dimensional feature space. • Individual finger movements are represented using a four-dimensional feature space.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2013.02.062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 CanadaPublic Library of Science (PLoS) WT | Learning and recovery of ..., NIH | Mapping the Human Connect...WT| Learning and recovery of skilled finger movements. ,NIH| Mapping the Human Connectome: Structure, Function, and HeritabilityAuthors: Diedrichsen, Jörn; Zotow, Ewa;Diedrichsen, Jörn; Zotow, Ewa;The paper presents a flat representation of the human cerebellum, useful for visualizing functional imaging data after volume-based normalization and averaging across subjects. Instead of reconstructing individual cerebellar surfaces, the method uses a white- and greymatter surface defined on volume-averaged anatomical data. Functional data can be projected along the lines of corresponding vertices on the two surfaces. The flat representation is optimized to yield a roughly proportional relationship between the surface area of the 2Drepresentation and the volume of the underlying cerebellar grey matter. The map allows users to visualize the activation state of the complete cerebellar grey matter in one concise view, equally revealing both the anterior-posterior (lobular) and medial-lateral organization. As examples, published data on resting-state networks and task-related activity are presented on the flatmap. The software and maps are freely available and compatible with most major neuroimaging packages. Copyright:
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0133402&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu202 citations 202 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0133402&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 CanadaImpact Journals, LLC Authors: Whitehead, Shawn N.; Hachinski, Vladimir; Levit, Alexander;Whitehead, Shawn N.; Hachinski, Vladimir; Levit, Alexander;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18632/aging.204062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18632/aging.204062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2018 United Kingdom, CanadaIMR Press CIHRCIHRAuthors: Mackenzie, Graham; Adrian M, Owen; Charles, Weijer; Lorina, Naci;Mackenzie, Graham; Adrian M, Owen; Charles, Weijer; Lorina, Naci;doi: 10.2741/s520
pmid: 29772562
© 2018 Frontiers in Bioscience. All Rights Reserved. We cast a novel perspective on two distinct populations: patients who become accidentally intraoperatively aware after receiving general anesthesia and severely brain-injured patients who are diagnosed as being in a vegetative state. In both cases, patients are behaviorally non-responsive —and on this basis presumed to lack consciousness— yet, retain covert awareness. In both contexts, detecting consciousness is highly challenging, yet highly important for ensuring adequate patient care. Although great strides have been made in the development of depth-of-anesthesia monitors, these monitors have significant limitations. On the other hand, recent neuroimaging studies on severely brain-injured patients have developed neurobiologically-informed markers of conscious awareness that hold potential for improving monitoring of covert awareness during general anesthesia. Further research is required to determine the implementation of these assessments in the surgical context, and this approach provides promising avenues for improved detection of intraoperative awareness and prevention of accidental awareness under general anesthesia.
Scholarship@Western arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2741/s520&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Scholarship@Western arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2741/s520&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2005 CanadaCambridge University Press (CUP) Kole, Max K.; Pelz, David M.; Lee, Donald H.; Jain, Vivek; Spence, J. David; Lownie, Stephen P.;pmid: 16018166
ABSTRACT:Background and purpose:Cervical internal carotid artery (ICA) occlusion associated with middle cerebral artery (MCA) embolic occlusion requires prompt revascularization to prevent devastating stroke. With the advent of endovascular techniques for chemical and mechanical thrombolysis, the clinical outcome of patients with major arterial occlusions will improve. Finding the most expedient pathway to the site of end organ occlusion for thrombolysis is important.Methods:We present two cases of acute stroke secondary to thrombotic occlusion of the cervical ICA associated with MCA embolic occlusion treated with intra-arterial thrombolysis via catheter navigation through the posterior communicating artery to the site of MCA arterial occlusion. No attempt was made to transverse the occluded ICA.Results:Near complete restoration of flow was achieved in one patient and minimal vessel reopening was observed in the other patient. Both patients had good outcomes.Conclusion:Intraarterial thrombolysis via Circle of Willis collaterals such as the posterior communicating artery for the treatment of acute thrombotic occlusion of the cervical internal carotid artery associated with embolic occlusion of the middle cerebral artery is a therapeutic option. This treatment option avoids the potential complications of navigating through an occluded proximal internal carotid artery and may expedite reopening of the MCA.
Scholarship@Western arrow_drop_down Canadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005License: Cambridge Core User AgreementData sources: CrossrefCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s031716710000408x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu13 citations 13 popularity Average influence Average impulse Average Powered by BIP!more_vert Scholarship@Western arrow_drop_down Canadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005License: Cambridge Core User AgreementData sources: CrossrefCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s031716710000408x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 Canada, United KingdomElsevier BV SSHRCSSHRCAuthors: Steven G. Greening; Derek G.V. Mitchell; Fraser W. Smith;Steven G. Greening; Derek G.V. Mitchell; Fraser W. Smith;pmid: 29414459
A network of cortical and sub-cortical regions is known to be important in the processing of facial expression. However, to date no study has investigated whether representations of facial expressions present in this network permit generalization across independent samples of face information (e.g., eye region vs mouth region). We presented participants with partial face samples of five expression categories in a rapid event-related fMRI experiment. We reveal a network of face-sensitive regions that contain information about facial expression categories regardless of which part of the face is presented. We further reveal that the neural information present in a subset of these regions: dorsal prefrontal cortex (dPFC), superior temporal sulcus (STS), lateral occipital and ventral temporal cortex, and even early visual cortex, enables reliable generalization across independent visual inputs (faces depicting the 'eyes only' vs 'eyes removed'). Furthermore, classification performance was correlated to behavioral performance in STS and dPFC. Our results demonstrate that both higher (e.g., STS, dPFC) and lower level cortical regions contain information useful for facial expression decoding that go beyond the visual information presented, and implicate a key role for contextual mechanisms such as cortical feedback in facial expression perception under challenging conditions of visual occlusion. (C) 2017 Elsevier Ltd. All rights reserved.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.cortex.2017.11.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu17 citations 17 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 5visibility views 5 download downloads 136 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.cortex.2017.11.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Italy, Netherlands, Italy, Netherlands, Portugal, Canada, Italy, Germany, Italy, Netherlands, Netherlands, United Kingdom, Portugal, BelgiumElsevier BV EC | Solve-RDEC| Solve-RDSergi Borrego-Écija; Roser Sala-Llonch; John C. van Swieten; Barbara Borroni; Fermin Moreno; Mario Masellis; Carmela Tartaglia; Caroline Graff; Daniela Galimberti; Robert Laforce; James B. Rowe; Elizabeth Finger; Rik Vandenberghe; Fabrizio Tagliavini; Alexandre de Mendonça; Isabel Santana; Matthis Synofzik; Simon Ducharme; Johannes Levin; Adrian Danek; Alexander Gerhard; Markus Otto; Christopher C Butler; Giovanni B. Frisoni; Sandro Sorbi; Carolin Heller; Martina Bocchetta; David M. Cash; Rhian S Convery; Katrina M. Moore; Jonathan D. Rohrer; Raquel Sánchez-Valle; Martin N. Rossor; Nick C. Fox; Ione O.C. Woollacott; Rachelle Shafei; Caroline V. Greaves; Mollie Neason; Rita Guerreiro; Jose Bras; David L. Thomas; Jennifer M. Nicholas; Simon Mead; Lieke H.H. Meeter; Jessica L. Panman; Janne M. Papma; Rick van Minkelen; Yolande A.L. Pijnenburg; Begoña Indakoetxea; Alazne Gabilondo; Mikel TaintaMD; Maria de Arriba; Ana Gorostidi; Miren Zulaica; Jorge Villanua; Zigor Diaz; Jaume Olives; Albert Lladó; Mircea Balasa; Anna Antonell; Núria Bargalló; Enrico Premi; Maura Cosseddu; Stefano Gazzina; Alessandro Padovani; Roberto Gasparotti; Silvana Archetti; Sandra E. Black; Sara Mitchell; Ekaterina Rogaeva; Morris Freedman; Ron Keren; David F. Tang-Wai; Linn Öijerstedt; Christin Andersson; Vesna Jelic; Håkan Thonberg; Andrea Arighi; Chiara Fenoglio; Elio Scarpini; Giorgio Fumagalli; Thomas E. Cope; Carolyn Timberlake; Timothy Rittman; Christen Shoesmith; Robart Bartha; Rosa Rademakers; Carlo Wilke; Benjamin Bender; Rose Bruffaerts; Philip Vandamme; Mathieu Vandenbulcke; Carolina Maruta; C. Ferreira; Gabriel Miltenberger; Ana Verdelho; Sónia Afonso; Ricardo Taipa; Paola Caroppo; Giuseppe Di Fede; Giorgio Giaccone; Sara Prioni; Veronica Redaelli; Giacomina Rossi; Pietro Tiraboschi; Diana Duro; Maria Rosário Almeida; Miguel Castelo-Branco; Maria João Leitão; Miguel Tábuas-Pereira; Beatriz Santiago; Serge Gauthier; Pedro Rosa-Neto; Michele Veldsman; Toby Flanagan; Catharina Prix; Tobias Hoegen; Elisabeth Wlasich; Sandra V. Loosli; Sonja Schönecker; Elisa Semler; Sarah Anderl-Straub;handle: 10451/46269 , 2158/1230440 , 11379/576269 , 11572/355946 , 10400.16/2850 , 2434/902153
pmc: PMC7804836
pmid: 33418170
handle: 10451/46269 , 2158/1230440 , 11379/576269 , 11572/355946 , 10400.16/2850 , 2434/902153
pmc: PMC7804836
pmid: 33418170
The authors thank all the volunteers for their participation in this study. SBE is a recipient of the Rio-Hortega post-residency grant from the Instituto de Salud Carlos III, Spain. This study was partially funded by Fundació Marató de TV3, Spain (grant no. 20143810 to RSV). The GENFI study has been supported by the Medical Research Council UK, the Italian Ministry of Health and the Canadian Institutes of Health Research as part of a Centres of Excellence in Neurodegeneration grant, as well as other individual funding to investigators. KM has received funding from an Alzheimer’s Society PhD studentship. JDR acknowledges support from the National Institute for Health Research (NIHR) Queen Square Dementia Biomedical Research Unit and the University College London Hospitals Biomedical Research Centre, the Leonard Wolfson Experimental Neurology Centre, the UK Dementia Research Institute, Alzheimer’s Research UK, the Brain Research Trust and the Wolfson Foundation. JCvS was supported by the Dioraphte Foundation grant 09-02-03-00, the Association for Frontotemporal Dementias Research Grant 2009, The Netherlands Organization for Scientific Research (NWO) grant HCMI 056-13-018, ZonMw Memorabel (Deltaplan Dementie, project number 733 051 042), Alzheimer Nederland and the Bluefield project. CG have received funding from JPND-Prefrontals VR Dnr 529-2014-7504, VR: 2015-02926, and 2018-02754, the Swedish FTD Initiative-Schörling Foundation, Alzheimer Foundation, Brain Foundation and Stockholm County Council ALF. DG has received support from the EU Joint Programme – Neurodegenerative Disease Research (JPND) and the Italian Ministry of Health (PreFrontALS) grant 733051042. JBR is funded by the Wellcome Trust (103838) and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre. MM has received funding from a Canadian Institutes of Health Research operating grant and the Weston Brain Institute and Ontario Brain Institute. RV has received funding from the Mady Browaeys Fund for Research into Frontotemporal Dementia. EF has received funding from a CIHR grant #327387. JDR is an MRC Clinician Scientist (MR/M008525/1) and has received funding from the NIHR Rare Diseases Translational Research Collaboration (BRC149/NS/MH), the Bluefield Project and the Association for Frontotemporal Degeneration. MS was supported by a grant 779257 “Solve-RD” from the Horizon 2020 research and innovation programme. Mutations in the granulin gene (GRN) cause familial frontotemporal dementia. Understanding the structural brain changes in presymptomatic GRN carriers would enforce the use of neuroimaging biomarkers for early diagnosis and monitoring. We studied 100 presymptomatic GRN mutation carriers and 94 noncarriers from the Genetic Frontotemporal dementia initiative (GENFI), with MRI structural images. We analyzed 3T MRI structural images using the FreeSurfer pipeline to calculate the whole brain cortical thickness (CTh) for each subject. We also perform a vertex-wise general linear model to assess differences between groups in the relationship between CTh and diverse covariables as gender, age, the estimated years to onset and education. We also explored differences according to TMEM106B genotype, a possible disease modifier. Whole brain CTh did not differ between carriers and noncarriers. Both groups showed age-related cortical thinning. The group-by-age interaction analysis showed that this age-related cortical thinning was significantly greater in GRN carriers in the left superior frontal cortex. TMEM106B did not significantly influence the age-related cortical thinning. Our results validate and expand previous findings suggesting an increased CTh loss associated with age and estimated proximity to symptoms onset in GRN carriers, even before the disease onset. © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
Europe PubMed Centra... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2020License: CC BY NC NDData sources: Spiral - Imperial College Digital RepositoryLAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Universidade de Lisboa: Repositório.ULOther literature type . Article . 2021License: CC BY NC NDRepositório Científico do Centro Hospitalar do PortoArticle . 2021License: CC BYData sources: Repositório Científico do Centro Hospitalar do PortoFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 92visibility views 92 download downloads 135 Powered bymore_vert Europe PubMed Centra... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2020License: CC BY NC NDData sources: Spiral - Imperial College Digital RepositoryLAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Universidade de Lisboa: Repositório.ULOther literature type . Article . 2021License: CC BY NC NDRepositório Científico do Centro Hospitalar do PortoArticle . 2021License: CC BYData sources: Repositório Científico do Centro Hospitalar do PortoFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article 2015 Canada EnglishElsevier BV WT | Salience network and coor..., UKRI | Cerebral recruitment duri...WT| Salience network and coordination of brain circuits in schizophrenia. ,UKRI| Cerebral recruitment during information processing in healthy individuals and in schizophreniaPalaniyappan, Lena; Mahmood, Jenaid; Balain, Vijender; Mougin, Olivier; Gowland, Penny A.; Liddle, Peter F.;pmc: PMC4604249
pmid: 26232240
Background: Persistent formal thought disorder (FTD) is one of the most characteristic features of schizophrenia. Several neuroimaging studies report spatially distinct neuroanatomical changes in association with FTD. Given that most studies so far have employed a univariate localisation approach that obscures the study of covarying interregional relationships, the present study focussed on the multivariate systemic pattern of anatomical changes that contribute to FTD. Methods: Speech samples from nineteen medicated clinically stable schizophrenia patients and 20 healthy controls were evaluated for subtle formal thought disorder. Ultra high-field (7. T) anatomical Magnetic Resonance Imaging scans were obtained from all subjects. Multivariate morphometric patterns were identified using an independent component approach (source based morphometry). Using multiple regression analysis, the morphometric patterns predicting positive and negative FTD scores were identified. Results: Morphometric variations in grey matter predicted a substantial portion of inter-individual variance in negative but not positive FTD. A pattern of concomitant striato-insular/precuneus reduction along with frontocingular grey matter increase had a significant association with negative FTD. Conclusions: These results suggest that concomitant increase and decrease in grey matter occur in association with persistent negative thought disorder in clinically stable individuals with schizophrenia.
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For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2018 CanadaCold Spring Harbor Laboratory EC | VirtualBrainCloud, EC | BrainModes, EC | HBP SGA2 +1 projectsEC| VirtualBrainCloud ,EC| BrainModes ,EC| HBP SGA2 ,CIHRShen, Kelly; Bezgin, Gleb; Schirner, Michael; Ritter, Petra; Everling, Stefan; McIntosh, Anthony R.;Models of large-scale brain networks that are informed by the underlying anatomical connectivity contribute to our understanding of the mapping between the structure of the brain and its dynamical function. Connectome-based modelling is a promising approach to a more comprehensive understanding of brain function across spatial and temporal scales, but it must be constrained by multi-scale empirical data from animal models. Here we describe the construction of a macaque (Macaca mulatta and Macaca fascicularis) connectome for whole-cortex simulations in TheVirtualBrain, an open-source simulation platform. We take advantage of available axonal tract-tracing datasets and enhance the existing connectome data using diffusion-based tractography in macaques. We illustrate the utility of the connectome as an extension of TheVirtualBrain by simulating resting-state BOLD-fMRI data and fitting it to empirical resting-state data. Design Type(s)data integration objective • source-based data transformation objective • modeling and simulation objectiveMeasurement Type(s)brain measurementTechnology Type(s)functional magnetic resonance imaging • Diffusion Weighted ImagingFactor Type(s)Sample Characteristic(s)Macaca • brain Machine-accessible metadata file describing the reported data (ISA-Tab format)
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu49 citations 49 popularity Top 1% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2013 CanadaFrontiers Media SA Authors: Todd, Rebecca M.; Schmitz, Taylor W.; Susskind, Josh; Anderson, Adam K.;Todd, Rebecca M.; Schmitz, Taylor W.; Susskind, Josh; Anderson, Adam K.;It is well known that emotionally salient events are remembered more vividly than mundane ones. Our recent research has demonstrated that such memory vividness is due in part to the subjective experience of emotional events as more perceptually vivid, an effect we call emotion-enhanced vividness, or EEV. The present study built on previously reported research in which fMRI data were collected while participants rated relative levels of visual noise overlaid on emotionally salient and neutral images. Ratings of greater EEV were associated with greater activation in the amygdala, visual cortex, and posterior insula. In the present study, we measured BOLD activation that predicted recognition memory vividness for these same images one week later. Results showed that, after controlling for differences between scenes in low-level objective features, hippocampus activation uniquely predicted subsequent memory vividness. In contrast, amygdala and visual cortex regions that were sensitive to EEV were also modulated by subsequent ratings of memory vividness. These findings suggest shared neural substrates for the influence of emotional salience on perceptual and mnemonic vividness, with amygdala and visual cortex activation at encoding contributing to the experience of both perception and subsequent memory. © 2013 Todd, Schmitz, Susskind and Anderson.
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For further information contact us at helpdesk@openaire.eu26 citations 26 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fnbeh.2013.00040&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2013 CanadaElsevier BV WT | Core support for the Well..., WT | Learning and recovery of ...WT| Core support for the Wellcome Trust Centre for Neuroimaging ,WT| Learning and recovery of skilled finger movements.Authors: Diedrichsen, Jörn; Wiestler, Tobias; Ejaz, Naveed;Diedrichsen, Jörn; Wiestler, Tobias; Ejaz, Naveed;How do populations of neurons represent a variable of interest? The notion of feature spaces is a useful concept to approach this question: According to this model, the activation patterns across a neuronal population are composed of different pattern components. The strength of each of these components varies with one latent feature, which together are the dimensions along which the population represents the variable. Here we propose a new method to determine the number of feature dimensions that best describes the activation patterns. The method is based on Gaussian linear classifiers that use only the first d most important pattern dimensions. Using cross-validation, we can identify the classifier that best matches the dimensionality of the neuronal representation. We test this method on two datasets of motor cortical activation patterns measured with functional magnetic resonance imaging (fMRI), during (i) simultaneous presses of all fingers of a hand at different force levels and (ii) presses of different individual fingers at a single force level. As expected, the new method shows that the representation of force is low-dimensional; the neural activation for different force levels is scaled versions of each other. In comparison, individual finger presses are represented in a full, four-dimensional feature space. The approach can be used to determine an important characteristic of neuronal population codes without knowing the form of the underlying features. It therefore provides a novel tool in the building of quantitative models of neuronal population activity as measured with fMRI or other approaches. Highlights • Neural population activity represents external variables using multiple feature dimensions. • We present a general method to determine the dimensionality of this feature space. • Primary motor cortex represents force through a low-dimensional feature space. • Individual finger movements are represented using a four-dimensional feature space.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2013.02.062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu33 citations 33 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2013.02.062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 CanadaPublic Library of Science (PLoS) WT | Learning and recovery of ..., NIH | Mapping the Human Connect...WT| Learning and recovery of skilled finger movements. ,NIH| Mapping the Human Connectome: Structure, Function, and HeritabilityAuthors: Diedrichsen, Jörn; Zotow, Ewa;Diedrichsen, Jörn; Zotow, Ewa;The paper presents a flat representation of the human cerebellum, useful for visualizing functional imaging data after volume-based normalization and averaging across subjects. Instead of reconstructing individual cerebellar surfaces, the method uses a white- and greymatter surface defined on volume-averaged anatomical data. Functional data can be projected along the lines of corresponding vertices on the two surfaces. The flat representation is optimized to yield a roughly proportional relationship between the surface area of the 2Drepresentation and the volume of the underlying cerebellar grey matter. The map allows users to visualize the activation state of the complete cerebellar grey matter in one concise view, equally revealing both the anterior-posterior (lobular) and medial-lateral organization. As examples, published data on resting-state networks and task-related activity are presented on the flatmap. The software and maps are freely available and compatible with most major neuroimaging packages. Copyright:
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu202 citations 202 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 CanadaImpact Journals, LLC Authors: Whitehead, Shawn N.; Hachinski, Vladimir; Levit, Alexander;Whitehead, Shawn N.; Hachinski, Vladimir; Levit, Alexander;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18632/aging.204062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.18632/aging.204062&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2018 United Kingdom, CanadaIMR Press CIHRCIHRAuthors: Mackenzie, Graham; Adrian M, Owen; Charles, Weijer; Lorina, Naci;Mackenzie, Graham; Adrian M, Owen; Charles, Weijer; Lorina, Naci;doi: 10.2741/s520
pmid: 29772562
© 2018 Frontiers in Bioscience. All Rights Reserved. We cast a novel perspective on two distinct populations: patients who become accidentally intraoperatively aware after receiving general anesthesia and severely brain-injured patients who are diagnosed as being in a vegetative state. In both cases, patients are behaviorally non-responsive —and on this basis presumed to lack consciousness— yet, retain covert awareness. In both contexts, detecting consciousness is highly challenging, yet highly important for ensuring adequate patient care. Although great strides have been made in the development of depth-of-anesthesia monitors, these monitors have significant limitations. On the other hand, recent neuroimaging studies on severely brain-injured patients have developed neurobiologically-informed markers of conscious awareness that hold potential for improving monitoring of covert awareness during general anesthesia. Further research is required to determine the implementation of these assessments in the surgical context, and this approach provides promising avenues for improved detection of intraoperative awareness and prevention of accidental awareness under general anesthesia.
Scholarship@Western arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2741/s520&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Average influence Average impulse Average Powered by BIP!more_vert Scholarship@Western arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.2741/s520&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2005 CanadaCambridge University Press (CUP) Kole, Max K.; Pelz, David M.; Lee, Donald H.; Jain, Vivek; Spence, J. David; Lownie, Stephen P.;pmid: 16018166
ABSTRACT:Background and purpose:Cervical internal carotid artery (ICA) occlusion associated with middle cerebral artery (MCA) embolic occlusion requires prompt revascularization to prevent devastating stroke. With the advent of endovascular techniques for chemical and mechanical thrombolysis, the clinical outcome of patients with major arterial occlusions will improve. Finding the most expedient pathway to the site of end organ occlusion for thrombolysis is important.Methods:We present two cases of acute stroke secondary to thrombotic occlusion of the cervical ICA associated with MCA embolic occlusion treated with intra-arterial thrombolysis via catheter navigation through the posterior communicating artery to the site of MCA arterial occlusion. No attempt was made to transverse the occluded ICA.Results:Near complete restoration of flow was achieved in one patient and minimal vessel reopening was observed in the other patient. Both patients had good outcomes.Conclusion:Intraarterial thrombolysis via Circle of Willis collaterals such as the posterior communicating artery for the treatment of acute thrombotic occlusion of the cervical internal carotid artery associated with embolic occlusion of the middle cerebral artery is a therapeutic option. This treatment option avoids the potential complications of navigating through an occluded proximal internal carotid artery and may expedite reopening of the MCA.
Scholarship@Western arrow_drop_down Canadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005License: Cambridge Core User AgreementData sources: CrossrefCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s031716710000408x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu13 citations 13 popularity Average influence Average impulse Average Powered by BIP!more_vert Scholarship@Western arrow_drop_down Canadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005License: Cambridge Core User AgreementData sources: CrossrefCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesArticle . 2005Data sources: Europe PubMed Centraladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/s031716710000408x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2018 Canada, United KingdomElsevier BV SSHRCSSHRCAuthors: Steven G. Greening; Derek G.V. Mitchell; Fraser W. Smith;Steven G. Greening; Derek G.V. Mitchell; Fraser W. Smith;pmid: 29414459
A network of cortical and sub-cortical regions is known to be important in the processing of facial expression. However, to date no study has investigated whether representations of facial expressions present in this network permit generalization across independent samples of face information (e.g., eye region vs mouth region). We presented participants with partial face samples of five expression categories in a rapid event-related fMRI experiment. We reveal a network of face-sensitive regions that contain information about facial expression categories regardless of which part of the face is presented. We further reveal that the neural information present in a subset of these regions: dorsal prefrontal cortex (dPFC), superior temporal sulcus (STS), lateral occipital and ventral temporal cortex, and even early visual cortex, enables reliable generalization across independent visual inputs (faces depicting the 'eyes only' vs 'eyes removed'). Furthermore, classification performance was correlated to behavioral performance in STS and dPFC. Our results demonstrate that both higher (e.g., STS, dPFC) and lower level cortical regions contain information useful for facial expression decoding that go beyond the visual information presented, and implicate a key role for contextual mechanisms such as cortical feedback in facial expression perception under challenging conditions of visual occlusion. (C) 2017 Elsevier Ltd. All rights reserved.
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu17 citations 17 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 5visibility views 5 download downloads 136 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Italy, Netherlands, Italy, Netherlands, Portugal, Canada, Italy, Germany, Italy, Netherlands, Netherlands, United Kingdom, Portugal, BelgiumElsevier BV EC | Solve-RDEC| Solve-RDSergi Borrego-Écija; Roser Sala-Llonch; John C. van Swieten; Barbara Borroni; Fermin Moreno; Mario Masellis; Carmela Tartaglia; Caroline Graff; Daniela Galimberti; Robert Laforce; James B. Rowe; Elizabeth Finger; Rik Vandenberghe; Fabrizio Tagliavini; Alexandre de Mendonça; Isabel Santana; Matthis Synofzik; Simon Ducharme; Johannes Levin; Adrian Danek; Alexander Gerhard; Markus Otto; Christopher C Butler; Giovanni B. Frisoni; Sandro Sorbi; Carolin Heller; Martina Bocchetta; David M. Cash; Rhian S Convery; Katrina M. Moore; Jonathan D. Rohrer; Raquel Sánchez-Valle; Martin N. Rossor; Nick C. Fox; Ione O.C. Woollacott; Rachelle Shafei; Caroline V. Greaves; Mollie Neason; Rita Guerreiro; Jose Bras; David L. Thomas; Jennifer M. Nicholas; Simon Mead; Lieke H.H. Meeter; Jessica L. Panman; Janne M. Papma; Rick van Minkelen; Yolande A.L. Pijnenburg; Begoña Indakoetxea; Alazne Gabilondo; Mikel TaintaMD; Maria de Arriba; Ana Gorostidi; Miren Zulaica; Jorge Villanua; Zigor Diaz; Jaume Olives; Albert Lladó; Mircea Balasa; Anna Antonell; Núria Bargalló; Enrico Premi; Maura Cosseddu; Stefano Gazzina; Alessandro Padovani; Roberto Gasparotti; Silvana Archetti; Sandra E. Black; Sara Mitchell; Ekaterina Rogaeva; Morris Freedman; Ron Keren; David F. Tang-Wai; Linn Öijerstedt; Christin Andersson; Vesna Jelic; Håkan Thonberg; Andrea Arighi; Chiara Fenoglio; Elio Scarpini; Giorgio Fumagalli; Thomas E. Cope; Carolyn Timberlake; Timothy Rittman; Christen Shoesmith; Robart Bartha; Rosa Rademakers; Carlo Wilke; Benjamin Bender; Rose Bruffaerts; Philip Vandamme; Mathieu Vandenbulcke; Carolina Maruta; C. Ferreira; Gabriel Miltenberger; Ana Verdelho; Sónia Afonso; Ricardo Taipa; Paola Caroppo; Giuseppe Di Fede; Giorgio Giaccone; Sara Prioni; Veronica Redaelli; Giacomina Rossi; Pietro Tiraboschi; Diana Duro; Maria Rosário Almeida; Miguel Castelo-Branco; Maria João Leitão; Miguel Tábuas-Pereira; Beatriz Santiago; Serge Gauthier; Pedro Rosa-Neto; Michele Veldsman; Toby Flanagan; Catharina Prix; Tobias Hoegen; Elisabeth Wlasich; Sandra V. Loosli; Sonja Schönecker; Elisa Semler; Sarah Anderl-Straub;handle: 10451/46269 , 2158/1230440 , 11379/576269 , 11572/355946 , 10400.16/2850 , 2434/902153
pmc: PMC7804836
pmid: 33418170
handle: 10451/46269 , 2158/1230440 , 11379/576269 , 11572/355946 , 10400.16/2850 , 2434/902153
pmc: PMC7804836
pmid: 33418170
The authors thank all the volunteers for their participation in this study. SBE is a recipient of the Rio-Hortega post-residency grant from the Instituto de Salud Carlos III, Spain. This study was partially funded by Fundació Marató de TV3, Spain (grant no. 20143810 to RSV). The GENFI study has been supported by the Medical Research Council UK, the Italian Ministry of Health and the Canadian Institutes of Health Research as part of a Centres of Excellence in Neurodegeneration grant, as well as other individual funding to investigators. KM has received funding from an Alzheimer’s Society PhD studentship. JDR acknowledges support from the National Institute for Health Research (NIHR) Queen Square Dementia Biomedical Research Unit and the University College London Hospitals Biomedical Research Centre, the Leonard Wolfson Experimental Neurology Centre, the UK Dementia Research Institute, Alzheimer’s Research UK, the Brain Research Trust and the Wolfson Foundation. JCvS was supported by the Dioraphte Foundation grant 09-02-03-00, the Association for Frontotemporal Dementias Research Grant 2009, The Netherlands Organization for Scientific Research (NWO) grant HCMI 056-13-018, ZonMw Memorabel (Deltaplan Dementie, project number 733 051 042), Alzheimer Nederland and the Bluefield project. CG have received funding from JPND-Prefrontals VR Dnr 529-2014-7504, VR: 2015-02926, and 2018-02754, the Swedish FTD Initiative-Schörling Foundation, Alzheimer Foundation, Brain Foundation and Stockholm County Council ALF. DG has received support from the EU Joint Programme – Neurodegenerative Disease Research (JPND) and the Italian Ministry of Health (PreFrontALS) grant 733051042. JBR is funded by the Wellcome Trust (103838) and the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre. MM has received funding from a Canadian Institutes of Health Research operating grant and the Weston Brain Institute and Ontario Brain Institute. RV has received funding from the Mady Browaeys Fund for Research into Frontotemporal Dementia. EF has received funding from a CIHR grant #327387. JDR is an MRC Clinician Scientist (MR/M008525/1) and has received funding from the NIHR Rare Diseases Translational Research Collaboration (BRC149/NS/MH), the Bluefield Project and the Association for Frontotemporal Degeneration. MS was supported by a grant 779257 “Solve-RD” from the Horizon 2020 research and innovation programme. Mutations in the granulin gene (GRN) cause familial frontotemporal dementia. Understanding the structural brain changes in presymptomatic GRN carriers would enforce the use of neuroimaging biomarkers for early diagnosis and monitoring. We studied 100 presymptomatic GRN mutation carriers and 94 noncarriers from the Genetic Frontotemporal dementia initiative (GENFI), with MRI structural images. We analyzed 3T MRI structural images using the FreeSurfer pipeline to calculate the whole brain cortical thickness (CTh) for each subject. We also perform a vertex-wise general linear model to assess differences between groups in the relationship between CTh and diverse covariables as gender, age, the estimated years to onset and education. We also explored differences according to TMEM106B genotype, a possible disease modifier. Whole brain CTh did not differ between carriers and noncarriers. Both groups showed age-related cortical thinning. The group-by-age interaction analysis showed that this age-related cortical thinning was significantly greater in GRN carriers in the left superior frontal cortex. TMEM106B did not significantly influence the age-related cortical thinning. Our results validate and expand previous findings suggesting an increased CTh loss associated with age and estimated proximity to symptoms onset in GRN carriers, even before the disease onset. © 2020 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
Europe PubMed Centra... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2020License: CC BY NC NDData sources: Spiral - Imperial College Digital RepositoryLAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Universidade de Lisboa: Repositório.ULOther literature type . Article . 2021License: CC BY NC NDRepositório Científico do Centro Hospitalar do PortoArticle . 2021License: CC BYData sources: Repositório Científico do Centro Hospitalar do PortoFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 92visibility views 92 download downloads 135 Powered bymore_vert Europe PubMed Centra... arrow_drop_down Spiral - Imperial College Digital RepositoryArticle . 2020License: CC BY NC NDData sources: Spiral - Imperial College Digital RepositoryLAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Universidade de Lisboa: Repositório.ULOther literature type . Article . 2021License: CC BY NC NDRepositório Científico do Centro Hospitalar do PortoArticle . 2021License: CC BYData sources: Repositório Científico do Centro Hospitalar do PortoFlore (Florence Research Repository)Article . 2021Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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