Literature DB >> 20654696

What does delta band tell us about cognitive processes: a mental calculation study.

Stavros I Dimitriadis1, Nikolaos A Laskaris, Vasso Tsirka, Michael Vourkas, Sifis Micheloyannis.   

Abstract

Multichannel EEG recordings from 18 healthy subjects were used to investigate brain activity in four delta subbands during two mental arithmetic tasks (number comparison and two-digit multiplication) and a control condition. The spatial redistribution of signal-power (SP) was explored based on four consecutives subbands of the delta rhythm. Additionally, network analysis was performed, independently for each subband, and the related graphs reflecting functional connectivity were characterized in terms of local structure (i.e. the clustering coefficient), overall integration (i.e. the path length) and the optimality of network organization (i.e. the "small-worldness"). EEG delta activity showed a widespread increase in all subbands during the performance of both arithmetic tasks. The inter-task comparison of the two arithmetic tasks revealed significant differences, in terms of signal-power, for the two subbands of higher frequency over left hemisphere (frontal, temporal, parietal and occipital) regions. The estimated brain networks exhibited small-world characteristics in the case of all subbands. On the contrary, lower frequency subbands were found to operate differently than the higher frequency subbands, with the latter featuring nodal organization and poor remote interconnectivity. These findings possibly reflect the deactivation of default mode network and could be attributed to inhibitory mechanisms activated during mental tasks. Copyright (c) 2010 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20654696     DOI: 10.1016/j.neulet.2010.07.034

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  18 in total

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Journal:  Age (Dordr)       Date:  2014-06

2.  Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental changes.

Authors:  S I Dimitriadis; N A Laskaris; S Micheloyannis
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3.  A novel symbolization scheme for multichannel recordings with emphasis on phase information and its application to differentiate EEG activity from different mental tasks.

Authors:  Stavros I Dimitriadis; Nikolaos A Laskaris; Vasso Tsirka; Sofia Erimaki; Michael Vourkas; Sifis Micheloyannis; Spiros Fotopoulos
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4.  A Graph theoretical approach to study the organization of the cortical networks during different mathematical tasks.

Authors:  Manousos A Klados; Kassia Kanatsouli; Ioannis Antoniou; Fabio Babiloni; Vassiliki Tsirka; Panagiotis D Bamidis; Sifis Micheloyannis
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5.  Greater Repertoire and Temporal Variability of Cross-Frequency Coupling (CFC) Modes in Resting-State Neuromagnetic Recordings among Children with Reading Difficulties.

Authors:  Stavros I Dimitriadis; Nikolaos A Laskaris; Panagiotis G Simos; Jack M Fletcher; Andrew C Papanicolaou
Journal:  Front Hum Neurosci       Date:  2016-04-26       Impact factor: 3.169

6.  Single Trial EEG Patterns for the Prediction of Individual Differences in Fluid Intelligence.

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Journal:  Front Hum Neurosci       Date:  2017-01-20       Impact factor: 3.169

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Authors:  Tommaso Bocci; Carlo Moretto; Silvia Tognazzi; Lucia Briscese; Megi Naraci; Letizia Leocani; Franco Mosca; Mauro Ferrari; Ferdinando Sartucci
Journal:  Behav Brain Funct       Date:  2013-04-22       Impact factor: 3.759

8.  EEG correlates of self-referential processing.

Authors:  Gennady G Knyazev
Journal:  Front Hum Neurosci       Date:  2013-06-06       Impact factor: 3.169

9.  A novel biomarker of amnestic MCI based on dynamic cross-frequency coupling patterns during cognitive brain responses.

Authors:  Stavros I Dimitriadis; Nikolaos A Laskaris; Malamati P Bitzidou; Ioannis Tarnanas; Magda N Tsolaki
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10.  Time-frequency analysis of band-limited EEG with BMFLC and Kalman filter for BCI applications.

Authors:  Yubo Wang; Kalyana C Veluvolu; Minho Lee
Journal:  J Neuroeng Rehabil       Date:  2013-11-25       Impact factor: 4.262

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