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Quantitative assessment of inter-individual variability in fMRI-based human brain atlas
Author(s) -
He Wang,
Jinping Sun,
Dong Cui,
Xin Wang,
Jingna Jin,
Ying Li,
Zhipeng Liu,
Tao Yin
Publication year - 2020
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims-20-404
Subject(s) - human connectome project , human brain , correlation , temporal lobe , brain mapping , computer science , neuroimaging , artificial intelligence , neuroscience , cartography , psychology , functional connectivity , epilepsy , geography , mathematics , geometry
Inter-individual variability is an inherent and ineradicable feature of group-level brain atlases that undermines their reliability for clinical and other applications. To date, there have been no reports quantifying inter-individual variability in brain atlases.

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