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- Publisher Website: 10.1016/j.neuroimage.2019.116304
- Scopus: eid_2-s2.0-85074054295
- PMID: 31654760
- WOS: WOS:000502357600008
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Article: Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed
Title | Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed |
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Authors | |
Keywords | Alpha oscillation 1/f power law pattern EEG Cognitive processing speed |
Issue Date | 2020 |
Publisher | Elsevier: Creative Commons. The Journal's web site is located at http://www.elsevier.com/locate/ynimg |
Citation | NeuroImage, 2020, v. 205, p. article no. 116304 How to Cite? |
Abstract | Research in cognitive neuroscience has extensively demonstrated that the temporal dynamics of brain activity are associated with cognitive functioning. The temporal dynamics mainly include oscillatory and 1/f noise-like, non-oscillatory brain activities that coexist in many forms of brain activity and confound each other's variability. As such, observed functional associations of narrowband oscillations might have been confounded with the broad-band 1/f component. Here, we investigated the relationship between resting-state EEG activity and the efficiency of cognitive functioning in N = 180 individuals. We show that 1/f brain activity plays an essential role in accounting for between-person variability in cognitive speed - a relationship that can be mistaken as originating from brain oscillations using conventional power spectrum analysis. At first glance, the power of alpha oscillations appeared to be predictive of cognitive speed. However, when dissociating pure alpha oscillations from 1/f brain activity, only the 1/f predicted cognitive speed, whereas the predictive power of alpha vanished. With this highly powered study, we disambiguate the functional relevance of the 1/f power law pattern in resting state neural activities and substantiate the necessity of isolating the 1/f component from oscillatory activities when studying the functional relevance of spontaneous brain activities. |
Persistent Identifier | http://hdl.handle.net/10722/287736 |
ISSN | 2023 Impact Factor: 4.7 2023 SCImago Journal Rankings: 2.436 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ouyang, G | - |
dc.contributor.author | Hildebrandt, A | - |
dc.contributor.author | Schmitz, F | - |
dc.contributor.author | Herrmann, CS | - |
dc.date.accessioned | 2020-10-05T12:02:31Z | - |
dc.date.available | 2020-10-05T12:02:31Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | NeuroImage, 2020, v. 205, p. article no. 116304 | - |
dc.identifier.issn | 1053-8119 | - |
dc.identifier.uri | http://hdl.handle.net/10722/287736 | - |
dc.description.abstract | Research in cognitive neuroscience has extensively demonstrated that the temporal dynamics of brain activity are associated with cognitive functioning. The temporal dynamics mainly include oscillatory and 1/f noise-like, non-oscillatory brain activities that coexist in many forms of brain activity and confound each other's variability. As such, observed functional associations of narrowband oscillations might have been confounded with the broad-band 1/f component. Here, we investigated the relationship between resting-state EEG activity and the efficiency of cognitive functioning in N = 180 individuals. We show that 1/f brain activity plays an essential role in accounting for between-person variability in cognitive speed - a relationship that can be mistaken as originating from brain oscillations using conventional power spectrum analysis. At first glance, the power of alpha oscillations appeared to be predictive of cognitive speed. However, when dissociating pure alpha oscillations from 1/f brain activity, only the 1/f predicted cognitive speed, whereas the predictive power of alpha vanished. With this highly powered study, we disambiguate the functional relevance of the 1/f power law pattern in resting state neural activities and substantiate the necessity of isolating the 1/f component from oscillatory activities when studying the functional relevance of spontaneous brain activities. | - |
dc.language | eng | - |
dc.publisher | Elsevier: Creative Commons. The Journal's web site is located at http://www.elsevier.com/locate/ynimg | - |
dc.relation.ispartof | NeuroImage | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Alpha oscillation | - |
dc.subject | 1/f power law pattern | - |
dc.subject | EEG | - |
dc.subject | Cognitive processing speed | - |
dc.title | Decomposing alpha and 1/f brain activities reveals their differential associations with cognitive processing speed | - |
dc.type | Article | - |
dc.identifier.email | Ouyang, G: ouyangg@hku.hk | - |
dc.identifier.authority | Ouyang, G=rp02315 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1016/j.neuroimage.2019.116304 | - |
dc.identifier.pmid | 31654760 | - |
dc.identifier.scopus | eid_2-s2.0-85074054295 | - |
dc.identifier.hkuros | 314997 | - |
dc.identifier.volume | 205 | - |
dc.identifier.spage | article no. 116304 | - |
dc.identifier.epage | article no. 116304 | - |
dc.identifier.isi | WOS:000502357600008 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1053-8119 | - |