Literature DB >> 19964837

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

Catherine Stamoulis1, Elke Praeg, Bernard S Chang, Shahid Bashir, Alvaro Pascual-Leone.   

Abstract

Brain state dynamics vary at different spatiotemporal scales with behavior, stimulation, and disease, and may be unobserved (latent). Using a state-space model framework and subspace identification, we estimated spatiotemporally 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 nonspecific 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 spatiotemporal 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.

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Year:  2009        PMID: 19964837      PMCID: PMC2796057          DOI: 10.1109/IEMBS.2009.5334195

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

Review 1.  Transcranial magnetic stimulation and the human brain.

Authors:  M Hallett
Journal:  Nature       Date:  2000-07-13       Impact factor: 49.962

2.  Estimation of nonstationary EEG with Kalman smoother approach: an application to event-related synchronization (ERS).

Authors:  Mika P Tarvainen; Jaana K Hiltunen; Perttu O Ranta-aho; Pasi A Karjalainen
Journal:  IEEE Trans Biomed Eng       Date:  2004-03       Impact factor: 4.538

3.  Assessment of EEG synchronization based on state-space analysis.

Authors:  Cristian Carmeli; Maria G Knyazeva; Giorgio M Innocenti; Oscar De Feo
Journal:  Neuroimage       Date:  2005-04-01       Impact factor: 6.556

4.  Application of Matched-Filtering to Extract EEG Features and Decouple Signal Contributions from Multiple Seizure Foci in Brain Malformations.

Authors:  Catherine Stamoulis; Bernard S Chang
Journal:  Int IEEE EMBS Conf Neural Eng       Date:  2009-06-23

5.  Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships.

Authors:  D Contreras; M Steriade
Journal:  J Neurosci       Date:  1995-01       Impact factor: 6.167

6.  Dynamical resetting of the human brain at epileptic seizures: application of nonlinear dynamics and global optimization techniques.

Authors:  Leon D Iasemidis; Deng-Shan Shiau; J Chris Sackellares; Panos M Pardalos; Awadhesh Prasad
Journal:  IEEE Trans Biomed Eng       Date:  2004-03       Impact factor: 4.538

7.  Suppression of ipsilateral motor cortex facilitates motor skill learning.

Authors:  Masahito Kobayashi; Hugo Théoret; Alvaro Pascual-Leone
Journal:  Eur J Neurosci       Date:  2009-02-05       Impact factor: 3.386

  7 in total
  2 in total

1.  Single pulse TMS-induced modulations of resting brain neurodynamics encoded in EEG phase.

Authors:  Catherine Stamoulis; Lindsay M Oberman; Elke Praeg; Shahid Bashir; Alvaro Pascual-Leone
Journal:  Brain Topogr       Date:  2011-01-04       Impact factor: 3.020

2.  High-frequency neuronal network modulations encoded in scalp EEG precede the onset of focal seizures.

Authors:  Catherine Stamoulis; Lawrence J Gruber; Donald L Schomer; Bernard S Chang
Journal:  Epilepsy Behav       Date:  2012-03-10       Impact factor: 2.937

  2 in total

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