State-Related Changes in MEG Functional Connectivity Reveal the Task-Positive Sensorimotor Network

被引:18
作者
Bardouille, Timothy [1 ,2 ,3 ,4 ]
Boe, Shaun [4 ,5 ,6 ,7 ,8 ]
机构
[1] CNR, Halifax, NS, Canada
[2] IWK Hlth Ctr, Dept Diagnost Imaging, Halifax, NS, Canada
[3] Dalhousie Univ, Dept Comp Sci, Halifax, NS, Canada
[4] Dalhousie Univ, Sch Physiotherapy, Halifax, NS, Canada
[5] Dalhousie Univ, Dept Psychol, Halifax, NS, Canada
[6] Sunnybrook Hlth Sci Ctr, Heart & Stroke Fdn Ctr Stroke Recovery, Toronto, ON M4N 3M5, Canada
[7] Capital Dist Hlth Author, Dept Med, Div Phys Med & Rehabil, Halifax, NS, Canada
[8] Dalhousie Univ, Sch Hlth & Human Performance, Halifax, NS, Canada
来源
PLOS ONE | 2012年 / 7卷 / 10期
关键词
PRIMARY MOTOR CORTEX; CORTICAL CONNECTIVITY; TEMPORAL DYNAMICS; PREFRONTAL CORTEX; STROKE PATIENTS; BRAIN NETWORKS; DEFAULT MODE; NEURAL BASIS; SYNCHRONIZATION; OSCILLATIONS;
D O I
10.1371/journal.pone.0048682
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Functional connectivity measures applied to magnetoencephalography (MEG) data have the capacity to elucidate neuronal networks. However, the task-related modulation of these measures is essential to identifying the functional relevance of the identified network. In this study, we provide evidence for the efficacy of measuring "state-related" (i.e., task vs. rest) changes in MEG functional connectivity for revealing a sensorimotor network. We investigate changes in functional connectivity, measured as cortico-cortical coherence (CCC), between rest blocks and the performance of a visually directed motor task in a healthy cohort. Task-positive changes in CCC were interpreted in the context of any concomitant modulations in spectral power. Task-related increases in whole-head CCC relative to the resting state were identified between areas established as part of the sensorimotor network as well as frontal eye fields and prefrontal cortices, predominantly in the beta and gamma frequency bands. This study provides evidence for the use of MEG to identify task-specific functionally connected sensorimotor networks in a non-invasive, patient friendly manner.
引用
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页数:8
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