Neural Mechanisms of Individuality - EEG Studies in Self and Morality

The need for individual neural markers has been expressed in both basic and clinical neuroscience. To address this, we here designed a novel behavioural paradigm in which to test several measures as possible neural markers of individuality which distinguish participants from each other in how they p...

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Bibliographic Details
Main Author: Wolff, Anne Marie
Other Authors: Northoff, Georg
Format: Others
Language:en
Published: Université d'Ottawa / University of Ottawa 2019
Subjects:
EEG
Online Access:http://hdl.handle.net/10393/39017
http://dx.doi.org/10.20381/ruor-23266
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spelling ndltd-uottawa.ca-oai-ruor.uottawa.ca-10393-390172020-06-27T03:31:39Z Neural Mechanisms of Individuality - EEG Studies in Self and Morality Wolff, Anne Marie Northoff, Georg EEG neural markers The need for individual neural markers has been expressed in both basic and clinical neuroscience. To address this, we here designed a novel behavioural paradigm in which to test several measures as possible neural markers of individuality which distinguish participants from each other in how they perceive, feel and perform cognitive tasks. The individualized paradigm for consequentialist moral dilemmas was validated, showing variability across participants in thresholds and reaction times. Next, task-induced activity changes in EEG activity during the time interval of the Late Positive Potential (LPP) in alpha power, along with phase coherence early in the trial, correlated with reaction times and scores of subjective emotional distress. From these findings in study one, in study two we measured trial-to-trial variability (TTV) and found that the TTV index in the alpha and beta bands correlated with reaction time and prestimulus Lempel-Ziv Complexity. These findings, again in the alpha and beta bands, support alpha power during the LPP, variability quenching in these bands, and early intertrial coherence as markers of neural individuality. Finally, measures of scale-free activity in the resting state, along with others, and self-consciousness scale subscores as indices of the self were investigated. It was found that the power-law exponent, autocorrelation window, modulation index and electromagnetic tomography activity in two Default Mode Network areas correlated significantly with the Private subscore of the Self-Consciousness Scale only. These findings indicate that these resting state measures, along with activity in the DMN, may serve as markers of neural individuality in the brain’s spontaneous activity. 2019-04-01T20:31:00Z 2020-04-01T09:00:10Z 2019-04-01 Thesis http://hdl.handle.net/10393/39017 http://dx.doi.org/10.20381/ruor-23266 en application/pdf Université d'Ottawa / University of Ottawa
collection NDLTD
language en
format Others
sources NDLTD
topic EEG
neural markers
spellingShingle EEG
neural markers
Wolff, Anne Marie
Neural Mechanisms of Individuality - EEG Studies in Self and Morality
description The need for individual neural markers has been expressed in both basic and clinical neuroscience. To address this, we here designed a novel behavioural paradigm in which to test several measures as possible neural markers of individuality which distinguish participants from each other in how they perceive, feel and perform cognitive tasks. The individualized paradigm for consequentialist moral dilemmas was validated, showing variability across participants in thresholds and reaction times. Next, task-induced activity changes in EEG activity during the time interval of the Late Positive Potential (LPP) in alpha power, along with phase coherence early in the trial, correlated with reaction times and scores of subjective emotional distress. From these findings in study one, in study two we measured trial-to-trial variability (TTV) and found that the TTV index in the alpha and beta bands correlated with reaction time and prestimulus Lempel-Ziv Complexity. These findings, again in the alpha and beta bands, support alpha power during the LPP, variability quenching in these bands, and early intertrial coherence as markers of neural individuality. Finally, measures of scale-free activity in the resting state, along with others, and self-consciousness scale subscores as indices of the self were investigated. It was found that the power-law exponent, autocorrelation window, modulation index and electromagnetic tomography activity in two Default Mode Network areas correlated significantly with the Private subscore of the Self-Consciousness Scale only. These findings indicate that these resting state measures, along with activity in the DMN, may serve as markers of neural individuality in the brain’s spontaneous activity.
author2 Northoff, Georg
author_facet Northoff, Georg
Wolff, Anne Marie
author Wolff, Anne Marie
author_sort Wolff, Anne Marie
title Neural Mechanisms of Individuality - EEG Studies in Self and Morality
title_short Neural Mechanisms of Individuality - EEG Studies in Self and Morality
title_full Neural Mechanisms of Individuality - EEG Studies in Self and Morality
title_fullStr Neural Mechanisms of Individuality - EEG Studies in Self and Morality
title_full_unstemmed Neural Mechanisms of Individuality - EEG Studies in Self and Morality
title_sort neural mechanisms of individuality - eeg studies in self and morality
publisher Université d'Ottawa / University of Ottawa
publishDate 2019
url http://hdl.handle.net/10393/39017
http://dx.doi.org/10.20381/ruor-23266
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