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Endophenotypes in a Dynamically Connected Brain
We examined the longitudinal genetic architecture of three parameters of functional brain connectivity. One parameter described overall connectivity (synchronization likelihood, SL). The two others were derived from graph theory and described local (clustering coefficient, CC) and global (average pa...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer US
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829652/ https://www.ncbi.nlm.nih.gov/pubmed/20111993 http://dx.doi.org/10.1007/s10519-009-9330-8 |
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author | Smit, D. J. A. Boersma, M. van Beijsterveldt, C. E. M. Posthuma, D. Boomsma, D. I. Stam, C. J. de Geus, E. J. C. |
author_facet | Smit, D. J. A. Boersma, M. van Beijsterveldt, C. E. M. Posthuma, D. Boomsma, D. I. Stam, C. J. de Geus, E. J. C. |
author_sort | Smit, D. J. A. |
collection | PubMed |
description | We examined the longitudinal genetic architecture of three parameters of functional brain connectivity. One parameter described overall connectivity (synchronization likelihood, SL). The two others were derived from graph theory and described local (clustering coefficient, CC) and global (average path length, L) aspects of connectivity. We measured resting state EEG in 1,438 subjects from four age groups of about 16, 18, 25 and 50 years. Developmental curves for SL and L indicate that connectivity is more random at adolescence and old age, and more structured in middle-aged adulthood. Individual variation in SL and L were moderately to highly heritable at each age (SL: 40–82%; L: 29–63%). Genetic factors underlying these phenotypes overlapped. CC was also heritable (25–49%) but showed no systematic overlap with SL and L. SL, CC, and L in the alpha band showed high phenotypic and genetic stability from 16 to 25 years. Heritability for parameters in the beta band was lower, and less stable across ages, but genetic stability was high. We conclude that the connectivity parameters SL, CC, and L in the alpha band show the hallmarks of a good endophenotype for behavior and developmental disorders. |
format | Text |
id | pubmed-2829652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-28296522010-03-05 Endophenotypes in a Dynamically Connected Brain Smit, D. J. A. Boersma, M. van Beijsterveldt, C. E. M. Posthuma, D. Boomsma, D. I. Stam, C. J. de Geus, E. J. C. Behav Genet Original Research We examined the longitudinal genetic architecture of three parameters of functional brain connectivity. One parameter described overall connectivity (synchronization likelihood, SL). The two others were derived from graph theory and described local (clustering coefficient, CC) and global (average path length, L) aspects of connectivity. We measured resting state EEG in 1,438 subjects from four age groups of about 16, 18, 25 and 50 years. Developmental curves for SL and L indicate that connectivity is more random at adolescence and old age, and more structured in middle-aged adulthood. Individual variation in SL and L were moderately to highly heritable at each age (SL: 40–82%; L: 29–63%). Genetic factors underlying these phenotypes overlapped. CC was also heritable (25–49%) but showed no systematic overlap with SL and L. SL, CC, and L in the alpha band showed high phenotypic and genetic stability from 16 to 25 years. Heritability for parameters in the beta band was lower, and less stable across ages, but genetic stability was high. We conclude that the connectivity parameters SL, CC, and L in the alpha band show the hallmarks of a good endophenotype for behavior and developmental disorders. Springer US 2010-01-29 2010 /pmc/articles/PMC2829652/ /pubmed/20111993 http://dx.doi.org/10.1007/s10519-009-9330-8 Text en © The Author(s) 2010 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Research Smit, D. J. A. Boersma, M. van Beijsterveldt, C. E. M. Posthuma, D. Boomsma, D. I. Stam, C. J. de Geus, E. J. C. Endophenotypes in a Dynamically Connected Brain |
title | Endophenotypes in a Dynamically Connected Brain |
title_full | Endophenotypes in a Dynamically Connected Brain |
title_fullStr | Endophenotypes in a Dynamically Connected Brain |
title_full_unstemmed | Endophenotypes in a Dynamically Connected Brain |
title_short | Endophenotypes in a Dynamically Connected Brain |
title_sort | endophenotypes in a dynamically connected brain |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829652/ https://www.ncbi.nlm.nih.gov/pubmed/20111993 http://dx.doi.org/10.1007/s10519-009-9330-8 |
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