Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Smit, D. J. A., Boersma, M., van Beijsterveldt, C. E. M., Posthuma, D., Boomsma, D. I., Stam, C. J., de Geus, E. J. C.
Formato: Texto
Lenguaje:English
Publicado: Springer US 2010
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
_version_ 1782178126014447616
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
work_keys_str_mv AT smitdja endophenotypesinadynamicallyconnectedbrain
AT boersmam endophenotypesinadynamicallyconnectedbrain
AT vanbeijsterveldtcem endophenotypesinadynamicallyconnectedbrain
AT posthumad endophenotypesinadynamicallyconnectedbrain
AT boomsmadi endophenotypesinadynamicallyconnectedbrain
AT stamcj endophenotypesinadynamicallyconnectedbrain
AT degeusejc endophenotypesinadynamicallyconnectedbrain