Literature DB >> 10217445

MEG characterization of spontaneous alpha rhythm in the human brain.

C Ciulla1, T Takeda, H Endo.   

Abstract

The present piece of research studied the spontaneous alpha rhythm of the human brain by combining the use of a whole-cortex neuromagnetometer and Magnetic Resonance Imaging. Single trials of spontaneous brain activity were recorded from ten human subjects asked to rest, with their eyes either closed or open, in relaxed wakefulness. MEG measurements were conducted over a period of one and a half years. The replicability of the results was confirmed for eight subjects out of ten. For three subjects, the alpha rhythm did not show any reductions due to the opening of the eyes. Both field map pattern and location of the estimated source were persistently stationary during each of the bursts of oscillations of the alpha rhythm. Dipoles were concentrated in clusters, indicating the existence of several spatially distributed sources. The calcarine fissure, the parieto-occipital sulcus and the surrounding occipital and parieto-occipital areas were identified as cortical sites of the brain where the alpha rhythm may originate. For four subjects, the majority of the sources were located near or in the calcarine fissure, while for five subjects, they were located near or in the parieto-occipital sulcus and for the remaining subject they were equally divided between the two generation sites.

Entities:  

Mesh:

Year:  1999        PMID: 10217445     DOI: 10.1023/a:1022233828999

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  11 in total

1.  Individual differences in EEG theta and alpha dynamics during working memory correlate with fMRI responses across subjects.

Authors:  Jed A Meltzer; Michiro Negishi; Linda C Mayes; R Todd Constable
Journal:  Clin Neurophysiol       Date:  2007-09-27       Impact factor: 3.708

2.  Transverse patterning dissociates human EEG theta power and hippocampal BOLD activation.

Authors:  Jed A Meltzer; Greg A Fonzo; R Todd Constable
Journal:  Psychophysiology       Date:  2008-09-24       Impact factor: 4.016

Review 3.  Magnetoencephalography Research in Pediatric Autism Spectrum Disorder.

Authors:  Heather L Green; J Christopher Edgar; Junko Matsuzaki; Timothy P L Roberts
Journal:  Neuroimaging Clin N Am       Date:  2020-03-27       Impact factor: 2.264

4.  Oscillatory spatial profile of alcohol's effects on the resting state: anatomically-constrained MEG.

Authors:  Burke Q Rosen; Ryan O'Hara; Sanja Kovacevic; Andrew Schulman; Nevena Padovan; Ksenija Marinkovic
Journal:  Alcohol       Date:  2014-01-18       Impact factor: 2.405

5.  Peak Alpha Frequency and Thalamic Structure in Children with Typical Development and Autism Spectrum Disorder.

Authors:  Heather L Green; Marissa Dipiero; Simon Koppers; Jeffrey I Berman; Luke Bloy; Song Liu; Emma McBride; Matthew Ku; Lisa Blaskey; Emily Kuschner; Megan Airey; Mina Kim; Kimberly Konka; Timothy P L Roberts; J Christopher Edgar
Journal:  J Autism Dev Disord       Date:  2021-02-25

6.  Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior.

Authors:  Elham Barzegaran; Vladimir Y Vildavski; Maria G Knyazeva
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

7.  A novel approach to understanding Parkinsonian cognitive decline using minimum spanning trees, edge cutting, and magnetoencephalography.

Authors:  Olivier B Simon; Isabelle Buard; Donald C Rojas; Samantha K Holden; Benzi M Kluger; Debashis Ghosh
Journal:  Sci Rep       Date:  2021-10-05       Impact factor: 4.379

8.  Effects of working memory load on oscillatory power in human intracranial EEG.

Authors:  Jed A Meltzer; Hitten P Zaveri; Irina I Goncharova; Marcello M Distasio; Xenophon Papademetris; Susan S Spencer; Dennis D Spencer; R Todd Constable
Journal:  Cereb Cortex       Date:  2007-12-03       Impact factor: 5.357

9.  Impairments in background and event-related alpha-band oscillatory activity in patients with schizophrenia.

Authors:  Ilana Y Abeles; Manuel Gomez-Ramirez
Journal:  PLoS One       Date:  2014-03-19       Impact factor: 3.240

10.  Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python.

Authors:  Marijn van Vliet; Mia Liljeström; Susanna Aro; Riitta Salmelin; Jan Kujala
Journal:  Front Neurosci       Date:  2018-09-11       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.