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 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.

[1]  Bruno Cessac,et al.  Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neurons , 2007, Journal of Physiology-Paris.

[2]  P. Nunez,et al.  Electric fields of the brain , 1981 .

[3]  R. Barry,et al.  EEG power and coherence in autistic spectrum disorder , 2008, Clinical Neurophysiology.

[4]  E. Bullmore,et al.  A Resilient, Low-Frequency, Small-World Human Brain Functional Network with Highly Connected Association Cortical Hubs , 2006, The Journal of Neuroscience.

[5]  C. Stam,et al.  Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets , 2002 .

[6]  C. Stam,et al.  Heritability of “small‐world” networks in the brain: A graph theoretical analysis of resting‐state EEG functional connectivity , 2008, Human brain mapping.

[7]  David A. Ziegler,et al.  Localization of white matter volume increase in autism and developmental language disorder , 2004, Annals of neurology.

[8]  M. Neale,et al.  Are Smarter Brains Running Faster? Heritability of Alpha Peak Frequency, IQ, and Their Interrelation , 2001, Behavior genetics.

[9]  Danielle Smith Bassett,et al.  Small-World Brain Networks , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[10]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[11]  Stephen M Smith,et al.  Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.

[12]  Robert W Thatcher,et al.  Development of cortical connections as measured by EEG coherence and phase delays , 2008, Human brain mapping.

[13]  H Begleiter,et al.  Event-related potentials in individuals at risk for alcoholism. , 1990, Alcohol.

[14]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[15]  Mark E. J. Newman,et al.  The Structure and Function of Complex Networks , 2003, SIAM Rev..

[16]  D I Boomsma,et al.  Heritability of human brain functioning as assessed by electroencephalography. , 1996, American journal of human genetics.

[17]  Cornelis J. Stam,et al.  Synchronization likelihood with explicit time-frequency priors , 2006, NeuroImage.

[18]  Martin Suter,et al.  Small World , 2002 .

[19]  Sharon L. Milgram,et al.  The Small World Problem , 1967 .

[20]  E. Courchesne,et al.  Why the frontal cortex in autism might be talking only to itself: local over-connectivity but long-distance disconnection , 2005, Current Opinion in Neurobiology.

[21]  C. Stam,et al.  The influence of ageing on complex brain networks: A graph theoretical analysis , 2009, Human brain mapping.

[22]  A. Heath,et al.  Genetic and environmental influences on frontal EEG asymmetry: A twin study , 2006, Biological Psychology.

[23]  T. Reynolds,et al.  Statin precipitated lactic acidosis? , 2004, Journal of Clinical Pathology.

[24]  R. T. Pivik,et al.  Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. , 1993, Psychophysiology.

[25]  C. J. Stam,et al.  Functional connectivity patterns of human magnetoencephalographic recordings: a ‘small-world’ network? , 2004, Neuroscience Letters.

[26]  R. Thatcher,et al.  Human cerebral hemispheres develop at different rates and ages. , 1987, Science.

[27]  I. Gottesman,et al.  The endophenotype concept in psychiatry: etymology and strategic intentions. , 2003, The American journal of psychiatry.

[28]  C. Stam,et al.  Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis , 2006, Neuroscience Letters.

[29]  John J. B. Allen,et al.  Frontal EEG asymmetry as a moderator and mediator of emotion , 2004, Biological Psychology.

[30]  E. Bullmore,et al.  Adaptive reconfiguration of fractal small-world human brain functional networks , 2006, Proceedings of the National Academy of Sciences.

[31]  Theiler,et al.  Spurious dimension from correlation algorithms applied to limited time-series data. , 1986, Physical review. A, General physics.

[32]  Karl J. Friston The labile brain. I. Neuronal transients and nonlinear coupling. , 2000, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[33]  R. Thatcher,et al.  EEG and intelligence: Relations between EEG coherence, EEG phase delay and power , 2005, Clinical Neurophysiology.

[34]  C. Stam,et al.  Small-world networks and epilepsy: Graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures , 2007, Clinical Neurophysiology.

[35]  James A. Coan,et al.  The heritability of trait frontal EEG asymmetry and negative emotionality: Sex differences and genetic nonadditivity , 2003 .

[36]  D. I. Boomsma,et al.  The relation between frontal EEG asymmetry and the risk for anxiety and depression , 2007, Biological Psychology.

[37]  C. Stam,et al.  Genetic components of functional connectivity in the brain: The heritability of synchronization likelihood , 2005, Human brain mapping.

[38]  E. D. Geus Introducing genetic psychophysiology , 2002, Biological Psychology.

[39]  D I Boomsma,et al.  Heritability of background EEG across the power spectrum. , 2005, Psychophysiology.

[40]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[41]  S. Rombouts,et al.  Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.

[42]  Marcel Adam Just,et al.  Functional connectivity in an fMRI working memory task in high-functioning autism , 2005, NeuroImage.

[43]  J Blangero,et al.  Joint multipoint linkage analysis of multivariate qualitative and quantitative traits. II. Alcoholism and event-related potentials. , 1999, American journal of human genetics.

[44]  Rodrigo Quian Quiroga,et al.  Nonlinear multivariate analysis of neurophysiological signals , 2005, Progress in Neurobiology.