EEG phase patterns reflect the representation of semantic categories of objects.
Oscillations of electroencephalographic signals represent the cognitive processes arose from the behavioral task and sensory representations across the mental state activity. Previous studies have shown the relation between event-related EEG and sensory-cognitive representation and revealed that cat...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 54; no. 1; pp. 205 - 222 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Jan2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=113529495&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 113529495 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Jan2016 vid: 54 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 113529495 113529495 NLM26400624 113529495 10.1007/s11517-015-1391-7 NLM26400624 113529495 ppf: 205 ppct: 17 formats: fmt: @attributes: type: P tig: atl: EEG phase patterns reflect the representation of semantic categories of objects. aug: au: Behroozi, Mehdi Daliri, Mohammad Shekarchi, Babak Daliri, Mohammad Reza affil: Radiology Department, AJA University of Medical Sciences, Tehran Iran sug: subj: Electroencephalography Methods Adult Young Adult Female Adolescence Physical Stimulation Male Human Adult: 19-44 years Adolescent: 13-18 years Female Male ab: Oscillations of electroencephalographic signals represent the cognitive processes arose from the behavioral task and sensory representations across the mental state activity. Previous studies have shown the relation between event-related EEG and sensory-cognitive representation and revealed that categorization of presented object can be successfully recognized using recorded EEG signals when subjects view objects. Here, EEG signals in conjunction with a multivariate pattern recognition technique were used for investigating the possibility to identify conceptual representation based on the presentation of 12 semantic categories of objects (5 exemplars per category). Using multivariate stimulus decoding methods, surprisingly, we demonstrate that how objects are discriminated from phase pattern of EEG signals across the time in low-frequency band (1-4 Hz), but not from power of oscillatory brain signals in the same frequency band. In contrast, discrimination accuracy from the power of EEG signals has significantly higher than the performance from phase of EEG signal in the high-frequency band (20-30 Hz). Moreover, our results indicate that how the accuracy of prediction changes between various areas of brain continuously across the time. In particular, we find that, during the object categorization task, the inter-trial phase coherence in low-frequency band is significantly higher than other frequency in various regions of interests. This measure is associated with decoding pattern across the time. These results suggest that the mechanism underlying conceptual representation can be mediated by the phase of oscillatory neural activity. pubtype: Academic Journal doctype: pictorial research tables/charts tracings Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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