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- Publisher Website: 10.1016/j.brainres.2009.02.077
- Scopus: eid_2-s2.0-67349116770
- PMID: 19285971
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Article: Theta and alpha oscillations linked to risk identifications
Title | Theta and alpha oscillations linked to risk identifications | ||||
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Authors | |||||
Keywords | Alpha EEG Risk Theta Wavelet analysis | ||||
Issue Date | 2009 | ||||
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/brainres | ||||
Citation | Brain Research, 2009, v. 1269, p. 125-134 How to Cite? | ||||
Abstract | Our recent functional MRI and event-related potential studies suggest that neural mechanisms underlying identifications of environmental and personal risks are characterized by distinct neural structures and time courses. The current work further investigated the role of non-phase locked activity in dissociation of the neural processes of environmental and personal risks. We recorded electroencephalogram (EEG) from healthy adults when they identified risky and safe environmental or personal events depicted in words or phrases. Event-related synchronization (ERS) and desynchronization (ERD) in association with risky and safe environmental and personal events were calculated using Morlet's wavelet analysis. We found that, relative to the identification of safe environmental events, the identification of risky environmental events induced increased theta band power at 260-380 ms over the frontal cortex and increased alpha band power after 700 ms with a wide scalp distribution. Moreover, theta band powers associated with the identification of risky environmental events correlated positively with subjective ratings of the risk degree of environmental events. In contrast, the identification of risky personal events was linked to decreased alpha band power at 740-900 ms with a wide scalp distribution compared with the identification of safe personal events. Our findings indicate that theta and alpha band neural oscillations are involved in differentiation between environmental and personal risks. © 2009 Elsevier B.V. All rights reserved. | ||||
Persistent Identifier | http://hdl.handle.net/10722/60758 | ||||
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 0.832 | ||||
ISI Accession Number ID |
Funding Information: This research was supported by the National Natural Science Foundation of China (Project 3063002S, 30828012). | ||||
References |
DC Field | Value | Language |
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dc.contributor.author | Qin, J | en_HK |
dc.contributor.author | Lee, TMC | en_HK |
dc.contributor.author | Han, S | en_HK |
dc.date.accessioned | 2010-05-31T04:17:53Z | - |
dc.date.available | 2010-05-31T04:17:53Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.citation | Brain Research, 2009, v. 1269, p. 125-134 | en_HK |
dc.identifier.issn | 0006-8993 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/60758 | - |
dc.description.abstract | Our recent functional MRI and event-related potential studies suggest that neural mechanisms underlying identifications of environmental and personal risks are characterized by distinct neural structures and time courses. The current work further investigated the role of non-phase locked activity in dissociation of the neural processes of environmental and personal risks. We recorded electroencephalogram (EEG) from healthy adults when they identified risky and safe environmental or personal events depicted in words or phrases. Event-related synchronization (ERS) and desynchronization (ERD) in association with risky and safe environmental and personal events were calculated using Morlet's wavelet analysis. We found that, relative to the identification of safe environmental events, the identification of risky environmental events induced increased theta band power at 260-380 ms over the frontal cortex and increased alpha band power after 700 ms with a wide scalp distribution. Moreover, theta band powers associated with the identification of risky environmental events correlated positively with subjective ratings of the risk degree of environmental events. In contrast, the identification of risky personal events was linked to decreased alpha band power at 740-900 ms with a wide scalp distribution compared with the identification of safe personal events. Our findings indicate that theta and alpha band neural oscillations are involved in differentiation between environmental and personal risks. © 2009 Elsevier B.V. All rights reserved. | en_HK |
dc.language | eng | en_HK |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/brainres | en_HK |
dc.relation.ispartof | Brain Research | en_HK |
dc.rights | Brain Research. Copyright © Elsevier BV. | en_HK |
dc.subject | Alpha | en_HK |
dc.subject | EEG | en_HK |
dc.subject | Risk | en_HK |
dc.subject | Theta | en_HK |
dc.subject | Wavelet analysis | en_HK |
dc.title | Theta and alpha oscillations linked to risk identifications | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0006-8993&volume=1269&spage=125&epage=134&date=2009&atitle=Theta+and+alpha+oscillations+linked+to+risk+identifications | en_HK |
dc.identifier.email | Lee, TMC:tmclee@hku.hk | en_HK |
dc.identifier.authority | Lee, TMC=rp00564 | en_HK |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.brainres.2009.02.077 | en_HK |
dc.identifier.pmid | 19285971 | - |
dc.identifier.scopus | eid_2-s2.0-67349116770 | en_HK |
dc.identifier.hkuros | 158102 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-67349116770&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 1269 | en_HK |
dc.identifier.spage | 125 | en_HK |
dc.identifier.epage | 134 | en_HK |
dc.identifier.isi | WOS:000266294900013 | - |
dc.publisher.place | Netherlands | en_HK |
dc.identifier.scopusauthorid | Qin, J=9234332700 | en_HK |
dc.identifier.scopusauthorid | Lee, TMC=7501437381 | en_HK |
dc.identifier.scopusauthorid | Han, S=7405942378 | en_HK |
dc.identifier.issnl | 0006-8993 | - |