Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery.
Topographical measures of functional connectivity as biomarkers for post-stroke motor recovery.
复制标题
功能连通性的地形测量作为中风后运动恢复的生物标志物。
DOI:
10.1186/s12984-017-0277-3
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发表时间:
2017-07-06
影响因子:
5.1
通讯作者:
Príncipe JC
中科院分区:
文献类型:
--
作者:
Philips GR;Daly JJ;Príncipe JC
Biomarkers derived from neural activity of the brain present a vital tool for the prediction and evaluation of post-stroke motor recovery, as well as for real-time biofeedback opportunities. In order to encapsulate recovery-related reorganization of brain networks into such biomarkers, we have utilized the generalized measure of association (GMA) and graph analyses, which include global and local efficiency, as well as hemispheric interdensity and intradensity. These methods were applied to electroencephalogram (EEG) data recorded during a study of 30 stroke survivors (21 male, mean age 57.9 years, mean stroke duration 22.4 months) undergoing 12 weeks of intensive therapeutic intervention. We observed that decreases of the intradensity of the unaffected hemisphere are correlated (r s=−0.46;p<0.05) with functional recovery, as measured by the upper-extremity portion of the Fugl-Meyer Assessment (FMUE). In addition, high initial values of local efficiency predict greater improvement in FMUE (R 2=0.16;p<0.05). In a subset of 17 subjects possessing lesions of the cerebral cortex, reductions of global and local efficiency, as well as the intradensity of the unaffected hemisphere are found to be associated with functional improvement (r s=−0.60,−0.66,−0.75;p<0.05). Within the same subgroup, high initial values of global and local efficiency, are predictive of improved recovery (R 2=0.24,0.25;p<0.05). All significant findings were specific to the 12.5–25 Hz band. These topological measures show promise for prognosis and evaluation of therapeutic outcomes, as well as potential application to BCI-enabled biofeedback.
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影响因子:
4.3
作者:
Achard S;Bullmore E
通讯作者:
Bullmore E
影响因子:
3
作者:
Bastos AM;Schoffelen JM
通讯作者:
Schoffelen JM
影响因子:
8.3
作者:
Cramer, SC;Nelles, G;Rosen, BR
通讯作者:
Rosen, BR
影响因子:
2
作者:
Ang, Kai Keng;Chua, Karen Sui Geok;Guan, Cuntai
通讯作者:
Guan, Cuntai
影响因子:
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作者:
Dancause, Numa;Nudo, Randolph J.
通讯作者:
Nudo, Randolph J.