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Individual Human Brain Areas Can Be Identified from Their Characteristic Spectral Activation Fingerprints
The human brain can be parcellated into diverse anatomical areas. We investigated whether rhythmic brain activity in these areas is characteristic and can be used for automatic classification. To this end, resting-state MEG data of 22 healthy adults was analysed. Power spectra of 1-s long data segme...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4927181/ https://www.ncbi.nlm.nih.gov/pubmed/27355236 http://dx.doi.org/10.1371/journal.pbio.1002498 |