Estimation of brain state changes associated with behavior, stimulation and epilepsy.

Estimation of brain state changes associated with behavior, stimulation and epilepsy.
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DOI:
10.1109/iembs.2009.5334195
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发表时间:
2009
期刊:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子:
--
通讯作者:
Pascual-Leone A
Pascual-Leone A
中科院分区:
其他
文献类型:
--
作者:
Stamoulis C;Praeg E;Chang BS;Bashir S;Pascual-Leone A

文献摘要

相似文献

大脑状态动力学随着行为、刺激和疾病而在不同的时空尺度上变化,并且可能是不可观察的(潜伏的)。使用状态空间模型框架和子空间识别,我们估计了与经颅磁刺激(TMS)的应用相关的时空局部化的潜在状态变化,以评估刺激对大脑状态动力学的影响。状态似乎是调制的行为在空间上特定的方式和小振幅的状态波动被暂时锁定到刺激介绍。此外,在TMS期间和之后,观察到大脑状态的整体、双侧和空间非特异性下降。我们还估计了癫痫发作演变过程中(独立于TMS),在局灶性和全身性癫痫发作,这有非常不同的癫痫发生和传播机制,可能导致也在不同的时空动态的大脑状态变化。事实上,我们的初步研究结果表明,在局灶性癫痫发作,时间局部动态变化发生至少1分钟前癫痫发作,减少稳态随后增加,达到最大值在发作间期。相比之下,没有这样的动态模式是明显的,在国家估计在全面发作。
Brain state dynamics vary at different spatio-temporal scales with behavior, stimulation, and disease, and may be unobserved (latent). Using a state-space model framework and subspace identification, we estimated spatio-temporally localized, latent state changes associated with the application of transcranial magnetic stimulation (TMS), to assess the effect of stimulation on brain state dynamics. State appeared to be modulated by behavior in a spatially-specific manner and small-amplitude state fluctuations were temporally locked to stimulus presentations. In addition, during and following TMS, an overall, bilateral and spatially non-specific decrease in brain state was observed. We also estimated brain state changes during seizure evolution (independent of TMS), in focal and generalized seizures, which have very different epileptogenesis and propagation mechanisms, possibly resulting also in distinct spatio-temporal dynamics. Indeed, our preliminary results showed that in focal seizures, temporally localized dynamic state changes occur at least 1 min prior to seizure onset, with a decrease in steady-state followed by an increase which reaches a maximum during the ictal interval. In contrast, no such dynamic pattern was evident in state estimates during generalized seizures.