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Frequency-dependent changes in the amplitude of low-frequency fluctuations in post stroke apathy

A resting-state fMRI study

Bibliographic Data

ID15529845
AuthorsYing Liu (0000-0001-5584-7805, Capital Medical University), Yi-Kuang Hsien (Capital Medical University), Wenlong Su (0009-0002-0110-1754, Capital Medical University), Zhiqing Tang (0000-0002-6147-2138, Capital Medical University), Hui Li (0000-0001-9355-1116, Shandong University), Junzi Long (0000-0001-5620-7471, Capital Medical University), Xingxing Liao (0009-0003-7634-917X, Capital Medical University), Hao Zhang (0000-0003-0232-5565, Shandong University, corresponding author)
Year2025
Volume16
Pages1458602-1458602
Publication date2025-02-14
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2025.1458602
PMID40027597
OpenAlexW4407588868
LanguageEN
References cited6

This study is the first to investigate the neural correlates of PSA using voxel-level analysis and different ALFF banding methods. Our findings indicate that PSA involves cortical and subcortical areas, including the left MFG, right STG, and right thalamus. These results may help elucidate the neural mechanisms underlying PSA and could serve as potential neuroimaging indicators for early diagnosis and intervention

Apathy · Audiology · Cardiology · Cognition · Functional magnetic resonance imaging · Gyrus · Insula · Physics · Psychiatry · Resting state fMRI · Stroke (engine · Superior frontal gyrus · Superior temporal gyrus · Supplementary motor area · Advanced MRI Techniques and Applications · Functional Brain Connectivity Studies · Medicine · Neural dynamics and brain function · Neuroscience · Psychology

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Highly citedNo

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