Literature DB >> 28961522

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

Joseph C Griffis1, Rodolphe Nenert2, Jane B Allendorfer2, Jerzy P Szaflarski2.   

Abstract

The preservation of near-typical function in distributed brain networks is associated with less severe deficits in chronic stroke patients. However, it remains unclear how task-evoked responses in networks that support complex cognitive functions such as semantic processing relate to the post-stroke brain anatomy. Here, we used recently developed methods for the analysis of multimodal MRI data to investigate the relationship between regional tissue concentration and functional MRI activation evoked during auditory semantic decisions in a sample of 43 chronic left hemispheric stroke patients and 43 age, handedness, and sex-matched controls. Our analyses revealed that closer-to-normal levels of tissue concentration in left temporo-parietal cortex and the underlying white matter correlated with the level of task-evoked activation in distributed regions associated with the semantic network. This association was not attributable to the effects of left hemispheric lesion or brain volumes, and similar results were obtained when using explicit lesion data. Left temporo-parietal tissue concentration and the associated task-evoked activations predicted patient performance on the in-scanner task, and also predicted patient performance on out-of-scanner naming and verbal fluency tasks. Exploratory analyses using the average HCP-842 tractography dataset revealed the presence of fronto-temporal, fronto-parietal, and temporo-parietal semantic network connections in the locations where tissue concentration was found to correlate with task-evoked activation in the semantic network. In summary, our results link the preservation of left posterior temporo-parietal structures with the preservation of task-evoked semantic network function in chronic left hemispheric stroke patients. Speculatively, this relationship may reflect the status of posterior temporo-parietal areas as cortical and white matter convergence zones that support coordinated processing in the distributed semantic network. Damage to these regions may contribute to atypical task-evoked responses during semantic processing in chronic stroke patients.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aphasia; Joint ICA; Multimodal data fusion; Stroke; mCCA

Mesh:

Year:  2017        PMID: 28961522      PMCID: PMC5675757          DOI: 10.1016/j.cortex.2017.08.031

Source DB:  PubMed          Journal:  Cortex        ISSN: 0010-9452            Impact factor:   4.027


  83 in total

1.  Dynamics of language reorganization after stroke.

Authors:  Dorothee Saur; Rüdiger Lange; Annette Baumgaertner; Valeska Schraknepper; Klaus Willmes; Michel Rijntjes; Cornelius Weiller
Journal:  Brain       Date:  2006-04-25       Impact factor: 13.501

2.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

3.  Therapy-induced brain reorganization patterns in aphasia.

Authors:  Stefanie Abel; Cornelius Weiller; Walter Huber; Klaus Willmes; Karsten Specht
Journal:  Brain       Date:  2015-02-15       Impact factor: 13.501

Review 4.  A proposed regional hierarchy in recovery of post-stroke aphasia.

Authors:  W-D Heiss; A Thiel
Journal:  Brain Lang       Date:  2006-03-29       Impact factor: 2.381

Review 5.  Mechanisms of aphasia recovery after stroke and the role of noninvasive brain stimulation.

Authors:  Roy H Hamilton; Evangelia G Chrysikou; Branch Coslett
Journal:  Brain Lang       Date:  2011-04-02       Impact factor: 2.381

6.  Semantic association investigated with functional MRI and independent component analysis.

Authors:  Kwang Ki Kim; Prasanna Karunanayaka; Michael D Privitera; Scott K Holland; Jerzy P Szaflarski
Journal:  Epilepsy Behav       Date:  2011-02-04       Impact factor: 2.937

7.  Intrinsic functional network architecture of human semantic processing: Modules and hubs.

Authors:  Yangwen Xu; Qixiang Lin; Zaizhu Han; Yong He; Yanchao Bi
Journal:  Neuroimage       Date:  2016-03-10       Impact factor: 6.556

8.  A CCA+ICA based model for multi-task brain imaging data fusion and its application to schizophrenia.

Authors:  Jing Sui; Tülay Adali; Godfrey Pearlson; Honghui Yang; Scott R Sponheim; Tonya White; Vince D Calhoun
Journal:  Neuroimage       Date:  2010-01-28       Impact factor: 6.556

9.  Beyond cortical localization in clinico-anatomical correlation.

Authors:  Marco Catani; Flavio Dell'acqua; Alberto Bizzi; Stephanie J Forkel; Steve C Williams; Andrew Simmons; Declan G Murphy; Michel Thiebaut de Schotten
Journal:  Cortex       Date:  2012-08-23       Impact factor: 4.027

10.  Lesion identification using unified segmentation-normalisation models and fuzzy clustering.

Authors:  Mohamed L Seghier; Anil Ramlackhansingh; Jenny Crinion; Alexander P Leff; Cathy J Price
Journal:  Neuroimage       Date:  2008-03-28       Impact factor: 6.556

View more
  13 in total

1.  Using machine learning-based lesion behavior mapping to identify anatomical networks of cognitive dysfunction: Spatial neglect and attention.

Authors:  Daniel Wiesen; Christoph Sperber; Grigori Yourganov; Christopher Rorden; Hans-Otto Karnath
Journal:  Neuroimage       Date:  2019-07-09       Impact factor: 6.556

2.  Damage to the shortest structural paths between brain regions is associated with disruptions of resting-state functional connectivity after stroke.

Authors:  Joseph C Griffis; Nicholas V Metcalf; Maurizio Corbetta; Gordon L Shulman
Journal:  Neuroimage       Date:  2020-01-30       Impact factor: 6.556

3.  Structural Disconnections Explain Brain Network Dysfunction after Stroke.

Authors:  Joseph C Griffis; Nicholas V Metcalf; Maurizio Corbetta; Gordon L Shulman
Journal:  Cell Rep       Date:  2019-09-03       Impact factor: 9.423

4.  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

Review 5.  Multivariate Approaches to Understanding Aphasia and its Neural Substrates.

Authors:  Stephen M Wilson; William D Hula
Journal:  Curr Neurol Neurosci Rep       Date:  2019-06-27       Impact factor: 5.081

6.  Left frontotemporal effective connectivity during semantic feature judgments in patients with chronic aphasia and age-matched healthy controls.

Authors:  Erin L Meier; Jeffrey P Johnson; Swathi Kiran
Journal:  Cortex       Date:  2018-08-27       Impact factor: 4.027

7.  An Examination of the Association Between Subjective Distress and Functional Connectivity During Discarding Decisions in Hoarding Disorder.

Authors:  Hannah C Levy; Andrew Poppe; Jaryd Hiser; Bethany M Wootton; Lauren S Hallion; David F Tolin; Michael C Stevens
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2021-01-12

8.  BDNF genotype and tDCS interaction in aphasia treatment.

Authors:  Julius Fridriksson; Jordan Elm; Brielle C Stark; Alexandra Basilakos; Chris Rorden; Souvik Sen; Mark S George; Michelle Gottfried; Leonardo Bonilha
Journal:  Brain Stimul       Date:  2018-08-18       Impact factor: 8.955

9.  Perilesional and homotopic area activation during proverb comprehension after stroke.

Authors:  You Gyoung Yi; Dae Yul Kim; Woo Hyun Shim; Joo Young Oh; Ho Sung Kim; Minji Jung
Journal:  Brain Behav       Date:  2018-12-26       Impact factor: 2.708

10.  A lesion and connectivity-based hierarchical model of chronic aphasia recovery dissociates patients and healthy controls.

Authors:  Erin L Meier; Jeffrey P Johnson; Yue Pan; Swathi Kiran
Journal:  Neuroimage Clin       Date:  2019-07-02       Impact factor: 4.881

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.