Literature DB >> 19524049

Joint independent component analysis of structural and functional images reveals complex patterns of functional reorganisation in stroke aphasia.

Karsten Specht1, Roland Zahn, Klaus Willmes, Susanne Weis, Christiane Holtel, Bernd J Krause, Hans Herzog, Walter Huber.   

Abstract

Previous functional activation studies in patients with aphasia have mostly relied on standard group comparisons of aphasic patients with healthy controls, which are biased towards regions showing the most consistent effects and disregard variability within groups. Groups of aphasic patients, however, show considerable variability with respect to lesion localisation and extent. Here, we use a novel method, joint independent component analysis (jICA), which allowed us to investigate abnormal patterns of functional activation with O(15)-PET during lexical decision in aphasic patients after middle cerebral artery stroke and to directly relate them to lesion information from structural MRI. Our results demonstrate that with jICA we could detect a network of compensatory increases in activity within bilateral anterior inferior temporal areas (BA20), which was not revealed by standard group comparisons. In addition, both types of analyses, jICA and group comparison, showed increased activity in the right posterior superior temporal gyrus in aphasic patients. Further, whereas standard analyses revealed no decreases in activation, jICA identified that left perisylvian lesions were associated with decreased activation of left posterior inferior frontal cortex, damaged in most patients, and extralesional remote decreases of activity within polar parts of the inferior temporal gyrus (BA38/20) and the occipital cortex (BA19). Taken together, our results demonstrate that jICA may be superior in revealing complex patterns of functional reorganisation in aphasia.

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Year:  2009        PMID: 19524049     DOI: 10.1016/j.neuroimage.2009.06.011

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  18 in total

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Authors:  Jesper Mogensen; Morten Overgaard
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-09-19       Impact factor: 6.237

Review 2.  Predicting language outcome and recovery after stroke: the PLORAS system.

Authors:  Cathy J Price; Mohamed L Seghier; Alex P Leff
Journal:  Nat Rev Neurol       Date:  2010-03-09       Impact factor: 42.937

3.  Neuroplasticity in post-stroke aphasia: A systematic review and meta-analysis of functional imaging studies of reorganization of language processing.

Authors:  Stephen M Wilson; Sarah M Schneck
Journal:  Neurobiol Lang (Camb)       Date:  2020-12-01

4.  Left hemisphere plasticity and aphasia recovery.

Authors:  Julius Fridriksson; Jessica D Richardson; Paul Fillmore; Bo Cai
Journal:  Neuroimage       Date:  2011-12-29       Impact factor: 6.556

5.  Effects of low-frequency repetitive transcranial magnetic stimulation combined with intensive speech therapy on cerebral blood flow in post-stroke aphasia.

Authors:  Takatoshi Hara; Masahiro Abo; Kentaro Kobayashi; Motoi Watanabe; Wataru Kakuda; Atushi Senoo
Journal:  Transl Stroke Res       Date:  2015-08-07       Impact factor: 6.829

6.  Lesion-symptom mapping in the study of spoken language understanding.

Authors:  Stephen M Wilson
Journal:  Lang Cogn Neurosci       Date:  2016-01-06       Impact factor: 2.331

7.  Linking left hemispheric tissue preservation to fMRI language task activation in chronic stroke patients.

Authors:  Joseph C Griffis; Rodolphe Nenert; Jane B Allendorfer; Jerzy P Szaflarski
Journal:  Cortex       Date:  2017-09-05       Impact factor: 4.027

8.  Differentiating hemispheric contributions to syntax and semantics in patients with left-hemisphere lesions.

Authors:  Paul Wright; Emmanuel A Stamatakis; Lorraine K Tyler
Journal:  J Neurosci       Date:  2012-06-13       Impact factor: 6.167

Review 9.  Review of Multi-Modal Imaging in Urea Cycle Disorders: The Old, the New, the Borrowed, and the Blue.

Authors:  Kuntal Sen; Afrouz A Anderson; Matthew T Whitehead; Andrea L Gropman
Journal:  Front Neurol       Date:  2021-04-28       Impact factor: 4.086

10.  Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties.

Authors:  Tülay Adali; Yuri Levin-Schwartz; Vince D Calhoun
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-09-01       Impact factor: 10.961

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