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Brain Functional Correlates of Intelligence Score in ADHD Based on EEG
INTRODUCTION: It has been shown that intelligence as a general mental ability is related to the structure and function of the brain regions. However, the specificity of these regional dependencies to the intelligence scores in the typical and atypical developed individuals needs to be well understoo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Tehran University of Medical Sciences
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262280/ https://www.ncbi.nlm.nih.gov/pubmed/37323951 http://dx.doi.org/10.32598/bcn.2021.1904.1 |
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author | Rostami, Mohammad Faridi, Farnaz Khosrowabadi, Reza |
author_facet | Rostami, Mohammad Faridi, Farnaz Khosrowabadi, Reza |
author_sort | Rostami, Mohammad |
collection | PubMed |
description | INTRODUCTION: It has been shown that intelligence as a general mental ability is related to the structure and function of the brain regions. However, the specificity of these regional dependencies to the intelligence scores in the typical and atypical developed individuals needs to be well understood. In this study, we hypothesized that neural correlates of IQ should not have a fixed pattern rather they must follow a dynamic pattern to compensate for the functional deficits caused by a neurodevelopmental disorder. Therefore, electroencephalography (EEG) correlates of normal IQ in various subtypes of attention deficit hyperactive disorder (ADHD) were compared with a group of healthy controls. METHODS: Sixty-three ADHD subjects comprising combined, inattentive, and hyperactive individuals diagnosed by a psychiatrist using structural clinical interview for DSM-V, and 46 healthy controls with similar normal IQ scores were recruited in this study. The subjects’ EEG data were then recorded during an eye-closed resting condition. The subjects’ intelligence level was measured by Raven's standard progressive matrices. Then, the association between IQ and the power of the EEG signal was computed in the conventional frequency bands. Subsequently, topographical representations of these associations were compared between the groups. RESULTS: Our results demonstrated that the association between IQ score and EEG power is not the same in various ADHD subtypes and healthy controls. CONCLUSION: This finding suggests a compensatory mechanism in ADHD individuals for changing the regional oscillatory pattern to maintain the IQ within a normal range. |
format | Online Article Text |
id | pubmed-10262280 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-102622802023-06-15 Brain Functional Correlates of Intelligence Score in ADHD Based on EEG Rostami, Mohammad Faridi, Farnaz Khosrowabadi, Reza Basic Clin Neurosci Research Paper INTRODUCTION: It has been shown that intelligence as a general mental ability is related to the structure and function of the brain regions. However, the specificity of these regional dependencies to the intelligence scores in the typical and atypical developed individuals needs to be well understood. In this study, we hypothesized that neural correlates of IQ should not have a fixed pattern rather they must follow a dynamic pattern to compensate for the functional deficits caused by a neurodevelopmental disorder. Therefore, electroencephalography (EEG) correlates of normal IQ in various subtypes of attention deficit hyperactive disorder (ADHD) were compared with a group of healthy controls. METHODS: Sixty-three ADHD subjects comprising combined, inattentive, and hyperactive individuals diagnosed by a psychiatrist using structural clinical interview for DSM-V, and 46 healthy controls with similar normal IQ scores were recruited in this study. The subjects’ EEG data were then recorded during an eye-closed resting condition. The subjects’ intelligence level was measured by Raven's standard progressive matrices. Then, the association between IQ and the power of the EEG signal was computed in the conventional frequency bands. Subsequently, topographical representations of these associations were compared between the groups. RESULTS: Our results demonstrated that the association between IQ score and EEG power is not the same in various ADHD subtypes and healthy controls. CONCLUSION: This finding suggests a compensatory mechanism in ADHD individuals for changing the regional oscillatory pattern to maintain the IQ within a normal range. Tehran University of Medical Sciences 2022 2022-11-01 /pmc/articles/PMC10262280/ /pubmed/37323951 http://dx.doi.org/10.32598/bcn.2021.1904.1 Text en Copyright© 2022 Iranian Neuroscience Society https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | Research Paper Rostami, Mohammad Faridi, Farnaz Khosrowabadi, Reza Brain Functional Correlates of Intelligence Score in ADHD Based on EEG |
title | Brain Functional Correlates of Intelligence Score in ADHD Based on EEG |
title_full | Brain Functional Correlates of Intelligence Score in ADHD Based on EEG |
title_fullStr | Brain Functional Correlates of Intelligence Score in ADHD Based on EEG |
title_full_unstemmed | Brain Functional Correlates of Intelligence Score in ADHD Based on EEG |
title_short | Brain Functional Correlates of Intelligence Score in ADHD Based on EEG |
title_sort | brain functional correlates of intelligence score in adhd based on eeg |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10262280/ https://www.ncbi.nlm.nih.gov/pubmed/37323951 http://dx.doi.org/10.32598/bcn.2021.1904.1 |
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