Low-frequency fluctuation in continuous real-time feedback of finger force: a new paradigm for sustained attention.
about
Detecting static and dynamic differences between eyes-closed and eyes-open resting states using ASL and BOLD fMRIExploring Dynamic Brain Functional Networks Using Continuous "State-Related" Functional MRIAn fMRI Study of Local Synchronization in Different Subfrequency Bands during the Continuous Feedback of Finger Force.Resting spontaneous activity in the default mode network predicts performance decline during prolonged attention workload.Frequency-dependent relationship between resting-state functional magnetic resonance imaging signal power and head motion is localized within distributed association networks.Resting-state brain network features associated with short-term skill learning ability in humans and the influence of -methyl-d-aspartate receptor antagonism
P2860
Low-frequency fluctuation in continuous real-time feedback of finger force: a new paradigm for sustained attention.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Low-frequency fluctuation in c ...... adigm for sustained attention.
@en
Low-frequency fluctuation in c ...... adigm for sustained attention.
@nl
type
label
Low-frequency fluctuation in c ...... adigm for sustained attention.
@en
Low-frequency fluctuation in c ...... adigm for sustained attention.
@nl
prefLabel
Low-frequency fluctuation in c ...... adigm for sustained attention.
@en
Low-frequency fluctuation in c ...... adigm for sustained attention.
@nl
P2093
P2860
P1476
Low-frequency fluctuation in c ...... radigm for sustained attention
@en
P2093
Dong-Qiang Liu
Yu-Feng Zang
Zhang-Ye Dong
Zhen-Xiang Zang
P2860
P2888
P304
P356
10.1007/S12264-012-1254-2
P50
P577
2012-08-01T00:00:00Z