[HTML][HTML] Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method

X Wang, Q Li, Y Zhao, Y He, B Ma, Z Fu, S Li - Neuroimage, 2021 - Elsevier
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human
brain networks during rest. There is considerable interest in distinguishing the individual …

Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method

X Wang, Q Li, Y Zhao, Y He, B Ma, Z Fu… - NeuroImage, 2021 - pubmed.ncbi.nlm.nih.gov
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human
brain networks during rest. There is considerable interest in distinguishing the individual …

[PDF][PDF] Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method

X Wang, Q Li, Y Zhao, Y He, B Ma, Z Fu, S Li - Neuroimage, 2021 - research.rug.nl
abstract Resting-state functional connectivity (RSFC) can be used for mapping large-scale
human brain networks during rest. There is considerable interest in distinguishing the …

Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method.

X Wang, Q Li, Y Zhao, Y He, B Ma, Z Fu, S Li - Neuroimage, 2021 - europepmc.org
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human
brain networks during rest. There is considerable interest in distinguishing the individual …

Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method.

X Wang, Q Li, Y Zhao, Y He, B Ma, Z Fu, S Li - NeuroImage, 2021 - psycnet.apa.org
Resting-state functional connectivity (RSFC) can be used for mapping large-scale human
brain networks during rest. There is considerable interest in distinguishing the individual …