Literature DB >> 36251043

White matter microstructure and verbal fluency.

Natalia Egorova-Brumley1,2, Chen Liang3, Mohamed Salah Khlif4,5, Amy Brodtmann4,5.   

Abstract

Poor performance on verbal fluency tasks is associated with an increased risk of post-stroke cognitive impairment. Grey matter regions supporting verbal fluency have been identified via lesion-symptom mapping, but the links between verbal fluency and white matter structure remain less well described. We examined white matter correlates of semantic (Category Fluency Animals) and phonemic or lexical fluency (COWAT FAS) after stroke, accounting for stroke severity measured with the National Institutes of health Stroke Scale (NIHSS), age, sex, and level of education. White matter fibre density and cross-section measures were automatically extracted from 72 tracts, using MRtrix and TractSeg software in 72 ischaemic stroke survivors assessed 3 months after their event. We conducted regression analyses separately for phonemic and semantic fluency for each tract. Worse semantic fluency was associated with lower fibre density in several tracts, including the arcuate fasciculus, superior longitudinal fasciculus, inferior occipito-frontal fasciculus, inferior longitudinal fasciculus, optic radiation, striato-occipital, thalamo-occipital tracts, and inferior cerebellar peduncle. Our stroke sample was heterogenous with largely non-overlapping and predominantly right-lateralised lesions (lesion distribution: left N = 27, right N = 43, bilateral N = 2), dissimilar to previous studies of verbal fluency. Yet, the tracts we identified as correlates of semantic fluency were all left-lateralised. No associations between phonemic fluency performance and fibre density metrics in any of the white matter tracts we extracted survived correction for multiple comparisons, possibly due to the limitations in the selection of tracts and sample characteristics. We conclude that when accounting for the effects of stroke severity, sex, age, and education, semantic fluency is associated with white matter microstructure in the left arcuate fasciculus, superior longitudinal fasciculus, and several occipital tracts, possibly reflecting the disconnection in the sagittal stratum. Our results obtained with fixel-based analysis, complement previous findings obtained with lesions-symptom mapping and neurodegenerative approaches.
© 2022. The Author(s).

Entities:  

Keywords:  COWAT FAS; Category fluency animals; Fixel-based analysis (FBA); Superior longitudinal fasciculus; Verbal fluency; White matter

Year:  2022        PMID: 36251043     DOI: 10.1007/s00429-022-02579-7

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.748


  39 in total

1.  Role of frontal versus temporal cortex in verbal fluency as revealed by voxel-based lesion symptom mapping.

Authors:  Juliana V Baldo; Sophie Schwartz; David Wilkins; Nina F Dronkers
Journal:  J Int Neuropsychol Soc       Date:  2006-11       Impact factor: 2.892

2.  A novel frontal pathway underlies verbal fluency in primary progressive aphasia.

Authors:  Marco Catani; Marsel M Mesulam; Estrid Jakobsen; Farah Malik; Adam Martersteck; Christina Wieneke; Cynthia K Thompson; Michel Thiebaut de Schotten; Flavio Dell'Acqua; Sandra Weintraub; Emily Rogalski
Journal:  Brain       Date:  2013-07-02       Impact factor: 13.501

3.  The left inferior fronto-occipital fasciculus subserves language semantics: a multilevel lesion study.

Authors:  Fabien Almairac; Guillaume Herbet; Sylvie Moritz-Gasser; Nicolas Menjot de Champfleur; Hugues Duffau
Journal:  Brain Struct Funct       Date:  2014-04-18       Impact factor: 3.270

4.  Partly segregated cortico-subcortical pathways support phonologic and semantic verbal fluency: A lesion study.

Authors:  Leila Chouiter; Josefina Holmberg; Aurelie L Manuel; Françoise Colombo; Stephanie Clarke; Jean-Marie Annoni; Lucas Spierer
Journal:  Neuroscience       Date:  2016-05-20       Impact factor: 3.590

5.  Language networks in semantic dementia.

Authors:  Federica Agosta; Roland G Henry; Raffaella Migliaccio; John Neuhaus; Bruce L Miller; Nina F Dronkers; Simona M Brambati; Massimo Filippi; Jennifer M Ogar; Stephen M Wilson; Maria Luisa Gorno-Tempini
Journal:  Brain       Date:  2009-09-16       Impact factor: 13.501

6.  Charting cognitive and volumetric trajectories after stroke: protocol for the Cognition And Neocortical Volume After Stroke (CANVAS) study.

Authors:  Amy Brodtmann; Emilio Werden; Heath Pardoe; Qi Li; Graeme Jackson; Geoffrey Donnan; Tiffany Cowie; Jennifer Bradshaw; David Darby; Toby Cumming
Journal:  Int J Stroke       Date:  2014-06-03       Impact factor: 5.266

7.  Triangulating a cognitive control network using diffusion-weighted magnetic resonance imaging (MRI) and functional MRI.

Authors:  Adam R Aron; Tim E Behrens; Steve Smith; Michael J Frank; Russell A Poldrack
Journal:  J Neurosci       Date:  2007-04-04       Impact factor: 6.167

8.  Regional white matter damage predicts speech fluency in chronic post-stroke aphasia.

Authors:  Alexandra Basilakos; Paul T Fillmore; Chris Rorden; Dazhou Guo; Leonardo Bonilha; Julius Fridriksson
Journal:  Front Hum Neurosci       Date:  2014-10-17       Impact factor: 3.169

9.  Shared and distinct anatomical correlates of semantic and phonemic fluency revealed by lesion-symptom mapping in patients with ischemic stroke.

Authors:  J Matthijs Biesbroek; Martine J E van Zandvoort; L Jaap Kappelle; Birgitta K Velthuis; Geert Jan Biessels; Albert Postma
Journal:  Brain Struct Funct       Date:  2015-05-05       Impact factor: 3.270

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