M
Mohamed L. Seghier
Researcher at Emirates College for Advanced Education
Publications - 115
Citations - 10728
Mohamed L. Seghier is an academic researcher from Emirates College for Advanced Education. The author has contributed to research in topics: Functional magnetic resonance imaging & Lateralization of brain function. The author has an hindex of 52, co-authored 109 publications receiving 9356 citations. Previous affiliations of Mohamed L. Seghier include French Institute of Health and Medical Research & Khalifa University.
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Journal ArticleDOI
The left superior temporal gyrus is a shared substrate for auditory short-term memory and speech comprehension: evidence from 210 patients with stroke.
Alexander P. Leff,Thomas M. Schofield,Jennifer T. Crinion,Mohamed L. Seghier,Alice Grogan,Alice Grogan,David W. Green,Cathy J. Price +7 more
TL;DR: High-resolution structural magnetic resonance images from 210 stroke patients are analysed and it is found that the structural integrity of a posterior region of the superior temporal gyrus and sulcus predicted auditory short-term memory capacity, even when performance on a range of other measures was factored out.
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A guide to group effective connectivity analysis, part 2: Second level analysis with PEB.
Peter Zeidman,Amirhossein Jafarian,Mohamed L. Seghier,Vladimir Litvak,Hayriye Cagnan,Cathy J. Price,Karl J. Friston +6 more
TL;DR: This paper provides a worked example of using Dynamic Causal Modelling (DCM) and Parametric Empirical Bayes (PEB) to characterise inter-subject variability in neural circuitry (effective connectivity) and provides a tutorial style explanation of the underlying theory and assumptions.
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Verbal and non-verbal intelligence changes in the teenage brain
Sue Ramsden,Fiona M. Richardson,Goulven Josse,Michael S.C. Thomas,Caroline Ellis,Clare Shakeshaft,Mohamed L. Seghier,Cathy J. Price +7 more
TL;DR: It is shown that verbal and non-verbal IQ can rise or fall in the teenage years, with these changes in performance validated by their close correlation with changes in local brain structure.
Journal ArticleDOI
Predicting outcome and recovery after stroke with lesions extracted from MRI images.
TL;DR: Validation against data collected from 270 stroke patients suggests that the first set of variables yielded predictions that match or exceed the predictive power reported in any comparable work in the available literature.
Journal ArticleDOI
Variability of fMRI Activation During a Phonological and Semantic Language Task in Healthy Subjects
Mohamed L. Seghier,François Lazeyras,Alan J. Pegna,Jean-Marie Annoni,Ivan Zimine,Eugène Mayer,Christoph M. Michel,Asaid Khateb +7 more
TL;DR: The study allowed the characterization of the most frequently involved foci in two language tasks and showed that the combination of these tasks constitutes a suitable tool for determining language lateralization and for mapping major language areas.