Specific resting-state brain networks in mesial temporal lobe epilepsy.
Specific resting-state brain networks in mesial temporal lobe epilepsy.
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DOI：
10.3389/fneur.2014.00127
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发表时间：
2014
影响因子：
3.4
通讯作者：
Gotman J
中科院分区：
文献类型：
--
作者：
Maneshi M;Vahdat S;Fahoum F;Grova C;Gotman J
我们用功能磁共振成像(FMRI)研究了内侧颞叶癫痫(MTLE)患者和健康受试者之间静息状态网络的差异。为了避免任何先验假设，我们使用数据驱动的分析来评估不同组之间的差异，独立于所涉及的结构。共享和特定独立成分分析(SSICA)是一种基于独立成分分析的探索性方法，用于进行组间网络比较。它提取和分类组间通用组件(网络)和特定于一个组的组件(网络)。10例健康受试者和10例MTLE患者的静息fMRI数据。多次应用SSICA，改变了初始化和不同数量的特定组件。这导致了许多特定于患者和对照的成分。空间聚类确定了每个组中所有特定组件之间可靠的休眠状态网络。对于每个可靠的特定网络，对重建的时间序列进行功率谱分析，以估计每组中的连通性和组之间的差异。两个可靠的网络被标记为特定于MTLE，一个被标记为特定于对照组，其中两个网络对应于通过聚类稳健地检测到的具有统计意义的集群。最可靠的MTLE网络包括双侧海马和杏仁核。另一个MTLE网络包括中央后回和颞极。对照特异性网络包括双侧楔前叶、扣带前回、丘脑和海马旁回。结果表明，两个MTLE网络在患者中显示出更高的连接性，而对照特定网络在患者中显示出连接性降低。我们的发现补充了基于种子的连通性分析的结果。内侧颞叶结构和其他区域之间连通性的变化模式可能有助于我们理解MTLE患者经常报告的认知障碍。
We studied with functional magnetic resonance imaging (fMRI) differences in resting-state networks between patients with mesial temporal lobe epilepsy (MTLE) and healthy subjects. To avoid any a priori hypothesis, we use a data-driven analysis assessing differences between groups independently of structures involved. Shared and specific independent component analysis (SSICA) is an exploratory method based on independent component analysis, which performs between-group network comparison. It extracts and classifies components (networks) in those common between groups and those specific to one group. Resting fMRI data were collected from 10 healthy subjects and 10 MTLE patients. SSICA was applied multiple times with altered initializations and different numbers of specific components. This resulted in many components specific to patients and to controls. Spatial clustering identified the reliable resting-state networks among all specific components in each group. For each reliable specific network, power spectrum analysis was performed on reconstructed time-series to estimate connectivity in each group and differences between groups. Two reliable networks, corresponding to statistically significant clusters robustly detected with clustering were labeled as specific to MTLE and one as specific to the control group. The most reliable MTLE network included hippocampus and amygdala bilaterally. The other MTLE network included the postcentral gyri and temporal poles. The control-specific network included bilateral precuneus, anterior cingulate, thalamus, and parahippocampal gyrus. Results indicated that the two MTLE networks show increased connectivity in patients, whereas the control-specific network shows decreased connectivity in patients. Our findings complement results from seed-based connectivity analysis. The pattern of changes in connectivity between mesial temporal lobe structures and other areas may help us understand the cognitive impairments often reported in patients with MTLE.
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影响因子：
1.3
作者：
COLLINS, DL;NEELIN, P;EVANS, AC
通讯作者：
EVANS, AC
影响因子：
4.8
作者：
Smith, SM
通讯作者：
Smith, SM
影响因子：
5.7
作者：
Jenkinson, M;Bannister, P;Smith, S
通讯作者：
Smith, S
影响因子：
5.6
作者：
McCormick, Cornelia;Quraan, Maher;McAndrews, Mary Pat
通讯作者：
McAndrews, Mary Pat
影响因子：
5.7
作者：
Beckmann, CF;Smith, SM
通讯作者：
Smith, SM