Literature DB >> 19003503

Topography, independent component analysis and dipole source analysis of movement related potentials.

Susan Pockett1, Simon Whalen, Alexander V H McPhail, Walter J Freeman.   

Abstract

The objective of this study was to test, in single subjects, the hypothesis that the signs of voluntary movement-related neural activity would first appear in the prefrontal region, then move to both the medial frontal and posterior parietal regions, progress to the medial primary motor area, lateralize to the contralateral primary motor area and finally involve the cerebellum (where feedback-initiated error signals are computed). Six subjects performed voluntary finger movements while DC coupled EEG was recorded from 64 scalp electrodes. Event-related potentials (ERPs) averaged on the movements were analysed both before and after independent component analysis (ICA) combined with dipole source analysis (DSA) of the independent components. Both a simple topographic analysis of undecomposed ERPs and the ICA/DSA analysis suggested that the original hypothesis was inadequate. The major departure from its predictions was that, while activity over many brain regions did appear at the expected times, it also appeared at unexpected times. Overall, the results suggest that the neuroscientific 'standard model', in which neural activity occurs sequentially in a series of discrete local areas each specialized for a particular function, may reflect the true situation less well than models in which large areas of brain shift simultaneously into and out of common activity states.

Entities:  

Year:  2007        PMID: 19003503      PMCID: PMC2289049          DOI: 10.1007/s11571-007-9024-y

Source DB:  PubMed          Journal:  Cogn Neurodyn        ISSN: 1871-4080            Impact factor:   5.082


  44 in total

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8.  Spatial working memory in humans as revealed by PET.

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-12-11       Impact factor: 11.205

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  9 in total

1.  An empirical EEG analysis in brain death diagnosis for adults.

Authors:  Zhe Chen; Jianting Cao; Yang Cao; Yue Zhang; Fanji Gu; Guoxian Zhu; Zhen Hong; Bin Wang; Andrzej Cichocki
Journal:  Cogn Neurodyn       Date:  2008-04-19       Impact factor: 5.082

2.  Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn.

Authors:  Chunmei Wang; Junzhong Zou; Jian Zhang; Min Wang; Rubin Wang
Journal:  Cogn Neurodyn       Date:  2010-06-26       Impact factor: 5.082

3.  Answering six questions in extracting children's mismatch negativity through combining wavelet decomposition and independent component analysis.

Authors:  Fengyu Cong; Igor Kalyakin; Hong Li; Tiina Huttunen-Scott; Yixiang Huang; Heikki Lyytinen; Tapani Ristaniemi
Journal:  Cogn Neurodyn       Date:  2011-06-28       Impact factor: 5.082

Review 4.  A review of EEG and MEG for brainnetome research.

Authors:  Xin Zhang; Xu Lei; Ting Wu; Tianzi Jiang
Journal:  Cogn Neurodyn       Date:  2013-11-22       Impact factor: 5.082

5.  Predictive modeling of human operator cognitive state via sparse and robust support vector machines.

Authors:  Jian-Hua Zhang; Pan-Pan Qin; Jörg Raisch; Ru-Bin Wang
Journal:  Cogn Neurodyn       Date:  2013-01-20       Impact factor: 5.082

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Authors:  Steven Ravett Brown
Journal:  Cogn Neurodyn       Date:  2012-11-28       Impact factor: 5.082

7.  Classifying human operator functional state based on electrophysiological and performance measures and fuzzy clustering method.

Authors:  Jian-Hua Zhang; Xiao-Di Peng; Hua Liu; Jörg Raisch; Ru-Bin Wang
Journal:  Cogn Neurodyn       Date:  2013-01-23       Impact factor: 5.082

8.  Single-trial detection for intraoperative somatosensory evoked potentials monitoring.

Authors:  L Hu; Z G Zhang; H T Liu; K D K Luk; Y Hu
Journal:  Cogn Neurodyn       Date:  2015-07-23       Impact factor: 5.082

9.  Dipole source analysis of auditory P300 response in depressive and anxiety disorders.

Authors:  Yuezhi Li; Yong Hu; Tiebang Liu; Dongling Wu
Journal:  Cogn Neurodyn       Date:  2011-05-04       Impact factor: 5.082

  9 in total

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