Motor network plasticity and low-frequency oscillations abnormalities in patients with brain gliomas: a functional MRI study.
Motor network plasticity and low-frequency oscillations abnormalities in patients with brain gliomas: a functional MRI study.
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脑胶质瘤患者运动网络可塑性和低频振荡异常:功能性 MRI 研究
DOI:
10.1371/journal.pone.0096850
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Lin P
中科院分区:
文献类型:
--
作者:
Niu C;Zhang M;Min Z;Rana N;Zhang Q;Liu X;Li M;Lin P
Brain plasticity is often associated with the process of slow-growing tumor formation, which remodels neural organization and optimizes brain network function. In this study, we aimed to investigate whether motor function plasticity would display deficits in patients with slow-growing brain tumors located in or near motor areas, but who were without motor neurological deficits. We used resting-state functional magnetic resonance imaging to probe motor networks in 15 patients with histopathologically confirmed brain gliomas and 15 age-matched healthy controls. All subjects performed a motor task to help identify individual motor activity in the bilateral primary motor cortex (PMC) and supplementary motor area (SMA). Frequency-based analysis at three different frequencies was then used to investigate possible alterations in the power spectral density (PSD) of low-frequency oscillations. For each group, the average PSD was determined for each brain region and a nonparametric test was performed to determine the difference in power between the two groups. Significantly reduced inter-hemispheric functional connectivity between the left and right PMC was observed in patients compared with controls (P<0.05). We also found significantly decreased PSD in patients compared to that in controls, in all three frequency bands (low: 0.01–0.02 Hz; middle: 0.02–0.06 Hz; and high: 0.06–0.1 Hz), at three key motor regions. These findings suggest that in asymptomatic patients with brain tumors located in eloquent regions, inter-hemispheric connection may be more vulnerable. A comparison of the two approaches indicated that power spectral analysis is more sensitive than functional connectivity analysis for identifying the neurological abnormalities underlying motor function plasticity induced by slow-growing tumors.
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影响因子:
3
作者:
Bajaj S;Drake D;Butler AJ;Dhamala M
通讯作者:
Dhamala M
DOI:
10.1523/jneurosci.1984-11.2011
发表时间:
2011-09-28
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Baliki MN;Baria AT;Apkarian AV
通讯作者:
Apkarian AV
影响因子:
2.5
作者:
Bianciardi, Marta;Fukunaga, Masaki;van Gelderen, Peter;Horovitz, Silvina G.;de Zwart, Jacco A.;Shmueli, Karin;Duyn, Jeff H.
通讯作者:
Duyn, Jeff H.
影响因子:
11
作者:
Duffau, H;Capelle, L;Van Effenterre, R
通讯作者:
Van Effenterre, R
影响因子:
14.5
作者:
Bokde, ALW;Lopez-Bayo, P;Hampel, H
通讯作者:
Hampel, H