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  Fractionating language comprehension via frequency characteristics of the human EEG

Roehm, D., Schlesewsky, M., Bornkessel, I., Frisch, S., & Haider, H. (2004). Fractionating language comprehension via frequency characteristics of the human EEG. NeuroReport, 15(3), 409-412. doi:10.1097/01.wnr.0000113531.32218.0d.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-B534-1 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002C-27A4-F
Genre: Journal Article

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roehm.pdf (Publisher version), 159KB
 
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 Creators:
Roehm, Dietmar1, Author              
Schlesewsky, Matthias, Author
Bornkessel, Ina2, Author              
Frisch, Stefan2, Author              
Haider, Hubert, Author
Affiliations:
1Max Planck Research Group Neurotypology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634568              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Conflict resolution; Delta band; Evoked power; Language comprehension; N400; Phase-locking index; Theta band; Whole power
 Abstract: We present a new analysis technique for EEG research on language comprehension, which dissociates superficially indistinguishable event-related potential (ERP) components. A frequency-based analysis differentiated between two apparently identical but functionally distinct N400 effects in terms of activity in separable frequency bands, and whether the activity stemmed from increased power or phase locking. Whereas linguistic problem detection is associated with theta band activity (~3.5–7.5 Hz), conflict resolution correlates with activity in the delta band (1–3 Hz). The data further differentiate between the neuronal processing mechanisms involved in different types of conflict resolution on the basis of frequency characteristics (power vs phase locking).

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Language(s): eng - English
 Dates: 2004
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: eDoc: 239160
Other: P6710
DOI: 10.1097/01.wnr.0000113531.32218.0d
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Title: NeuroReport
Source Genre: Journal
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Publ. Info: Oxford, UK : Rapid Communications of Oxford Ltd.
Pages: - Volume / Issue: 15 (3) Sequence Number: - Start / End Page: 409 - 412 Identifier: ISSN: 0959-4965
CoNE: https://pure.mpg.de/cone/journals/resource/954925578070