Lisha Wang , Lin Shi , Edward S. Hui , Yan Liang , Wai-Kwong Tang
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引用次数: 0
Abstract
Subcortical stroke induces widespread connectivity changes between cortical and subcortical regions, which may underpin the ensuing behavioral dysexecutive symptoms. This study therefore investigated the cortical structural connectivity that were related to behavioral dysexecutive symptoms using fiber connectivity density (FiCD) mapping, an approach which combines white matter (WM) fiber tractography and cortex reconstruction. The relationships between cortical structural connectivity of significant clusters and its corresponding cortical thickness (CT), and clinical variables were also evaluated based on region-of-interest analysis. Sixty-four subcortical stroke patients with high-resolution T1-weighted imaging and diffusion tensor imaging were enrolled and the behavioral dysexecutive symptoms were assessed using the dysexecutive questionnaire. The FiCD of the left superior parietal gyrus was positively associated with cognitive executive processing (CTT1 time, r = 0.570, p = 0.047; CVFT total correct, r = 0.582, p = 0.047; CVFT total response, r = 0.605, p = 0.040). Similary, the FiCD of the right superior parietal gyrus was also positively associated with cognitive executive processing, (CTT1 time, r = 0.639, p = 0.034). Conversely, negative correlations were observed between the FiCD and CT of the right (r = -0.612 p = 0.045) superior parietal gyrus.
期刊介绍:
The Brain Research Bulletin (BRB) aims to publish novel work that advances our knowledge of molecular and cellular mechanisms that underlie neural network properties associated with behavior, cognition and other brain functions during neurodevelopment and in the adult. Although clinical research is out of the Journal''s scope, the BRB also aims to publish translation research that provides insight into biological mechanisms and processes associated with neurodegeneration mechanisms, neurological diseases and neuropsychiatric disorders. The Journal is especially interested in research using novel methodologies, such as optogenetics, multielectrode array recordings and life imaging in wild-type and genetically-modified animal models, with the goal to advance our understanding of how neurons, glia and networks function in vivo.