Poster No:
2119
Submission Type:
Abstract Submission
Authors:
Yoonhye Na1, JeYoung Jung2, Sung-Bom Pyun1
Institutions:
1Korea University College of Medicine, Seoul, Korea, Republic of, 2University of Nottingham, Nottingham, UK
First Author:
Yoonhye Na
Korea University College of Medicine
Seoul, Korea, Republic of
Co-Author(s):
Sung-Bom Pyun
Korea University College of Medicine
Seoul, Korea, Republic of
Introduction:
Language deficit after stroke, aphasia, is one of the frequent consequences, and the consequences affect the whole life in terms of quality of life. There has been a growing understanding of how cognitive function affects language deficits after stroke. It is crucial to understand the relationship between lesions and language deficits including the factors that affect language abilities. In this study, we investigated the core neural correlates of language function and factors that can affect language by voxel-based lesion symptom mapping (VLSM) analysis using the principal components of cognitive and language assessments.
Methods:
A total of fifty-five patients with stroke enrolled in this study. All patients completed the Korean version of the Western Aphasia Battery (K-WAB) and a comprehensive cognitive function test called the computerized neuropsychological test (CNT). Also, every patient underwent MRI scanning. All MR images were acquired on a 3T Siemens Prisma scanner (Siemens, Erlangen, Germany). Lesion maps were identified by automatic lesion segmentation using fractional anisotropy (FA) image derived from diffusion tensor imaging. The lesion-symptom mapping was conducted using a Statistical NonParametric Mapping (SnPM; version 13.1.08, http://nisox.org/Software/SnPM13/) toolbox implemented in the MATLAB to run the non-parametric analysis.
A principal component analysis (PCA) was conducted to lower the dimension of multiple behavioral variables; behavioral scores of language and cognitive function examinations. Lesion-symptom mapping analyses of language function and factors affecting language impairment were conducted using the principal component loadings.
Results:
As a result, a rotated PCA result produced six independent principal components (PC) : language, executive control, verbal memory, visual processing, semantic memory, and attention (Figure 1). Also, VLSM results showed significant neural correlates of four factors out of six (Figure 2). The results showed that a significant relationship with language impairment was found in the cluster at the center of the left insula and frontal operculum that extended to the inferior frontal gyrus (IFG). The significant cluster related to the executive control function was in the left insula, angular gyrus and posterior supramarginal gyrus. The small cluster in the left thalamus was found to be related to the verbal memory factor. The result showed visual memory and construction functions were related to regions in the right hemisphere, right Rolandic operculum and superior temporal lobe.

·Factor loadings of six PCs & individual scatter plot between language and cognitive factors

·Lesion overlap map (N = 55) and VLSM results
Conclusions:
A PCA result produced six independent factors related to language function after stroke. The VLSM results found core regions related to four language and cognitive factors that could affect language deficits. The results of this study could help to decide the target area for noninvasive brain stimulation (e.g., repetitive transcranial magnetic stimulation; rTMS, transcranial direct current stimulation; tDCS, etc.) for rehabilitation of aphasia.
Funding : This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2022R1A2B5B02001673).
Language:
Language Other 2
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Cortical Anatomy and Brain Mapping 1
Keywords:
Aphasia
Cerebrovascular Disease
Cognition
Language
MRI
1|2Indicates the priority used for review
Provide references using author date format
Bates, E. (2003), Voxel-based lesion–symptom mapping. Nature Neuroscience, 6(5), 448-450.
Dronkers, N. F. (2004), Lesion analysis of the brain areas involved in language comprehension. Cognition, 92(1-2), 145-177.
Halai, A. D. (2017), Using principal component analysis to capture individual differences within a unified neuropsychological model of chronic post-stroke aphasia: Revealing the unique neural correlates of speech fluency, phonology and semantics. Cortex, 86, 275-289.
Na, D. (2001), Paradise Korean version—the Western Aphasia Battery: PARADISE∙ K-WAB. Seoul, Korea: Paradise Welfare Foundation.