How robustly do multivariate EEG patterns track individual-subject lexico-semantic processing of visual stimuli?
Electroencephalography may be a valuable tool for assessing lexico-semantic processing in conditions where behavioural measures are unreliable. Detecting and quantifying effects in individuals is crucial for clinical applications, but individual-subject analyses are frequently not reported, and are...
| Publicado en: | Language, Cognition & Neuroscience Vol. 39; no. 9; pp. 1134 - 1149 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Nov2024
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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=180278791&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 180278791 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23273798 IQ6T jtl: Language, Cognition & Neuroscience issn: 23273798 maglogo: N pubinfo: dt: Nov2024 vid: 39 iid: 9 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 180278791 162702758 180278791 180278791 10.1080/23273798.2023.2177315 180278791 ppf: 1134 ppct: 15 formats: tig: atl: How robustly do multivariate EEG patterns track individual-subject lexico-semantic processing of visual stimuli? aug: au: Petit, Selene Brown, Alyse Jessen, Emil Trenckner Woolgar, Alexandra affil: MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom sug: subj: Electroencephalography Methods Visual Perception Evaluation Semantics Brain Physiology Neural Pathways Human United Kingdom Funding Source Multivariate Analysis Univariate Statistics ab: Electroencephalography may be a valuable tool for assessing lexico-semantic processing in conditions where behavioural measures are unreliable. Detecting and quantifying effects in individuals is crucial for clinical applications, but individual-subject analyses are frequently not reported, and are hampered by low signal-to-noise. Multivariate analyses (MVPA) may be more sensitive than traditional approaches, so we asked how robustly they could detect differential neural responses to semantically matched and mismatched word/picture pairs in individuals. With clinical application in mind, we compared data from a research-grade EEG system to concurrently recorded data from the wireless Emotiv EPOC +. In both EEG systems, despite robust group-level effects, we only detected statistically significant processing of lexico-semantic condition in 50% of individuals. Surprisingly, detection rates were similar for MVPA and univariate analyses. MVPA may be advantageous when individual responses are heterogeneous, but in this simple paradigm, lexico-semantic processing could not be reliably detected at the individual level. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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