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Conference Paper: Top-down versus bottom-up processing in the human brain: Distinct directional influences revealed by integrating SOBI and granger causality

TitleTop-down versus bottom-up processing in the human brain: Distinct directional influences revealed by integrating SOBI and granger causality
Authors
KeywordsBottom-up
Issue Date2007
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, v. 4666 LNCS, p. 802-809 How to Cite?
AbstractTop-down and bottom-up processing are two distinct yet highly interactive modes of neuronal activity underlying normal and abnormal human cognition. Here we characterize the dynamic processes that contribute to these two modes of cognitive operation. We used a blind source separation algorithm called second-order blind identification (SOBI [1]) to extract from high-density scalp EEG (128 channels) two components that index neuronal activity in two distinct local networks: one in the occipital lobe and one in the frontal lobe. We then applied Granger causality analysis to the SOBI-recovered neuronal signals from these two local networks to characterize feed-forward and feedback influences between them. With three repeated observations made at least one week apart, we show that feed-forward influence is dominated by alpha while feedback influence is dominated by theta band activity and that this direction-selective dominance pattern is jointly modulated by situational familiarity and demand for visual processing. © Springer-Verlag Berlin Heidelberg 2007.
Persistent Identifierhttp://hdl.handle.net/10722/228053
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorTang, Akaysha C.-
dc.contributor.authorSutherland, Matthew T.-
dc.contributor.authorSun, Peng-
dc.contributor.authorZhang, Yan-
dc.contributor.authorNakazawa, Masato-
dc.contributor.authorKorzekwa, Amy-
dc.contributor.authorYang, Zhen-
dc.contributor.authorDing, Mingzhou-
dc.date.accessioned2016-08-01T06:45:04Z-
dc.date.available2016-08-01T06:45:04Z-
dc.date.issued2007-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2007, v. 4666 LNCS, p. 802-809-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/228053-
dc.description.abstractTop-down and bottom-up processing are two distinct yet highly interactive modes of neuronal activity underlying normal and abnormal human cognition. Here we characterize the dynamic processes that contribute to these two modes of cognitive operation. We used a blind source separation algorithm called second-order blind identification (SOBI [1]) to extract from high-density scalp EEG (128 channels) two components that index neuronal activity in two distinct local networks: one in the occipital lobe and one in the frontal lobe. We then applied Granger causality analysis to the SOBI-recovered neuronal signals from these two local networks to characterize feed-forward and feedback influences between them. With three repeated observations made at least one week apart, we show that feed-forward influence is dominated by alpha while feedback influence is dominated by theta band activity and that this direction-selective dominance pattern is jointly modulated by situational familiarity and demand for visual processing. © Springer-Verlag Berlin Heidelberg 2007.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.subjectBottom-up-
dc.titleTop-down versus bottom-up processing in the human brain: Distinct directional influences revealed by integrating SOBI and granger causality-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-38149074136-
dc.identifier.volume4666 LNCS-
dc.identifier.spage802-
dc.identifier.epage809-
dc.identifier.eissn1611-3349-

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