Intelligence and neural efficiency as determined by EEG-Coherence
D. Schrausser, A. Fink, and A. Neubauer. Symposium 'Physiological approaches to human intelligence' at the 10th Biennial Meeting of the International Society for the Study of Individual Differences (ISSID), Edinburgh, United Kingdom, The University of Edinburgh, (July 2001)
DOI: 10.13140/RG.2.2.24814.89929
Abstract
Beneath EEG mapping methods which focus on the level of cortical activation the coherence parameter is used to assess the level of functional coupling of brain areas. By means of the EEG coherence analysis anatomical connections as well as functional coupling of different brain areas can be described. As there is strong empirical evidence that highly intelligent individuals display a more focused pattern in contrast to a more global pattern of activation during cognitive performance they should be characterized by a lower ERD as well as a lower task related coherence. Findings concerning gender related coherence differences caused by dimorphism of the brain's structure and physiological properties even suggested the expectation of possible interactions.
Symposium 'Physiological approaches to human intelligence' at the 10th Biennial Meeting of the International Society for the Study of Individual Differences (ISSID)
%0 Conference Paper
%1 SchrausserRG.2.2.24814.89929
%A Schrausser, D. G.
%A Fink, A.
%A Neubauer, A. C.
%B Symposium 'Physiological approaches to human intelligence' at the 10th Biennial Meeting of the International Society for the Study of Individual Differences (ISSID)
%C Edinburgh, United Kingdom
%D 2001
%I The University of Edinburgh
%K Coherence EEG ERD Intelligence myown neural_efficiency
%R 10.13140/RG.2.2.24814.89929
%T Intelligence and neural efficiency as determined by EEG-Coherence
%U http://dx.doi.org/10.13140/RG.2.2.24814.89929
%X Beneath EEG mapping methods which focus on the level of cortical activation the coherence parameter is used to assess the level of functional coupling of brain areas. By means of the EEG coherence analysis anatomical connections as well as functional coupling of different brain areas can be described. As there is strong empirical evidence that highly intelligent individuals display a more focused pattern in contrast to a more global pattern of activation during cognitive performance they should be characterized by a lower ERD as well as a lower task related coherence. Findings concerning gender related coherence differences caused by dimorphism of the brain's structure and physiological properties even suggested the expectation of possible interactions.
@inproceedings{SchrausserRG.2.2.24814.89929,
abstract = {Beneath EEG mapping methods which focus on the level of cortical activation the coherence parameter is used to assess the level of functional coupling of brain areas. By means of the EEG coherence analysis anatomical connections as well as functional coupling of different brain areas can be described. As there is strong empirical evidence that highly intelligent individuals display a more focused pattern in contrast to a more global pattern of activation during cognitive performance they should be characterized by a lower ERD as well as a lower task related coherence. Findings concerning gender related coherence differences caused by dimorphism of the brain's structure and physiological properties even suggested the expectation of possible interactions. },
added-at = {2023-06-20T08:06:38.000+0200},
address = {Edinburgh, United Kingdom},
author = {Schrausser, D. G. and Fink, A. and Neubauer, A. C.},
biburl = {https://www.bibsonomy.org/bibtex/2dd47db02bbf6f2e9239b26fbb6e9e23f/schrausser},
booktitle = {Symposium 'Physiological approaches to human intelligence' at the 10th Biennial Meeting of the International Society for the Study of Individual Differences (ISSID)},
doi = {10.13140/RG.2.2.24814.89929},
interhash = {02331149ec4fd0572624884242a65ef1},
intrahash = {dd47db02bbf6f2e9239b26fbb6e9e23f},
keywords = {Coherence EEG ERD Intelligence myown neural_efficiency},
language = {en},
month = {07},
publisher = {The University of Edinburgh},
timestamp = {2023-06-21T14:52:20.000+0200},
title = {Intelligence and neural efficiency as determined by EEG-Coherence},
url = {http://dx.doi.org/10.13140/RG.2.2.24814.89929},
year = 2001
}