Please use this identifier to cite or link to this item:
https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/480
Title: | Transient spectral events in resting state MEG predict individual task responses |
Authors: | External author(s) only |
Keywords: | Brain Activity |
Issue Date: | Jul-2020 |
Citation: | R. Becker, D. Vidaurre, A.J. Quinn, R.G. Abeysuriya, O. Parker Jones, S. Jbabdi, M.W. Woolrich. Transient spectral events in resting state MEG predict individual task responses. NeuroImage 215 (2020) 116818 |
Abstract: | Even in response to simple tasks such as hand movement, human brain activity shows remarkable inter-subject variability. Recently, it has been shown that individual spatial variability in fMRI task responses can be predicted from measurements collected at rest; suggesting that the spatial variability is a stable feature, inherent to the individual’s brain. However, it is not clear if this is also true for individual variability in the spatio-spectral content of oscillatory brain activity. Here, we show using MEG (N ¼ 89) that we can predict the spatial and spectral content of an individual’s task response using features estimated from the individual’s resting MEG data. This works by learning when transient spectral ‘bursts’ or events in the resting state tend to reoccur in the task responses. We applied our method to motor, working memory and language comprehension tasks. All task conditions were predicted significantly above chance. Finally, we found a systematic relationship between genetic similarity (e.g. unrelated subjects vs. twins) and predictability. Our approach can predict individual differences in brain activity and suggests a link between transient spectral events in task and rest that can be captured at the level of individuals. |
Description: | Open Access |
URI: | https://oxfordhealth-nhs.archive.knowledgearc.net/handle/123456789/480 |
ISSN: | 1053-8119 |
Appears in Collections: | Neuroscience |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Neuroimage.pdf | Main | 2.36 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.