Genetic components of functional connectivity in the brain: The heritability of synchronization likelihood

Cognitive functions require the integrated activity of multiple specialized, distributed brain areas. Such functional coupling depends on the existence of anatomical connections between the various brain areas as well as physiological processes whereby the activity in one area influences the activity in another area. Recently, the Synchronization Likelihood (SL) method was developed as a general method to study both linear and nonlinear aspects of coupling. In the present study the genetic architecture of the SL in different frequency bands was investigated. Using a large genetically informative sample of 569 subjects from 282 extended twin families we found that the SL is moderately to highly heritable (41–67%) especially in the alpha frequency (8–13 Hz) range. This index of functional connectivity of the brain has been associated with a number of pathological states of the brain. The significant heritability found here suggests that SL can be used to examine the genetic susceptibility to these conditions. Hum Brain Mapp, 2005. © 2005 Wiley‐Liss, Inc.

[1]  D. Falconer,et al.  Introduction to Quantitative Genetics. , 1962 .

[2]  F. Takens Detecting strange attractors in turbulence , 1981 .

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

[4]  L. S. Forbes A note on statistical power , 1990 .

[5]  L. Thompson,et al.  Genetic and environmental influences on the coherence of background and orienting response EEG in children , 1994 .

[6]  L. Tsimring,et al.  Generalized synchronization of chaos in directionally coupled chaotic systems. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[7]  D I Boomsma,et al.  Genetic architecture of EEG power spectra in early life. , 1996, Electroencephalography and clinical neurophysiology.

[8]  J C Christian,et al.  Genetic analysis of the resting electroencephalographic power spectrum in human twins. , 1996, Psychophysiology.

[9]  D. Tucker,et al.  EEG coherency. I: Statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. , 1997, Electroencephalography and clinical neurophysiology.

[10]  N. Martin,et al.  A twin-pronged attack on complex traits , 1997, Nature Genetics.

[11]  D. Boomsma,et al.  Twin registers in Europe: an overview , 1998, Twin Research.

[12]  Professor Dr. Friedrich Vogel,et al.  Genetics and the Electroencephalogram , 1999, Springer Berlin Heidelberg.

[13]  Dorret I. Boomsma,et al.  A Note on the Statistical Power in Extended Twin Designs , 2000, Behavior genetics.

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

[15]  C. Stam,et al.  Variability of EEG synchronization during a working memory task in healthy subjects. , 2002, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[16]  Vinod Menon,et al.  Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[17]  L. Peltonen,et al.  Classical twin studies and beyond , 2002, Nature Reviews Genetics.

[18]  D. Posthuma Genetic Variation and Cognitive Ability , 2002 .

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

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

[21]  G. Baal,et al.  Twin and family studies of the human electroencephalogram: a review and a meta-analysis , 2002, Biological Psychology.

[22]  H. Berendse,et al.  Generalized Synchronization of MEG Recordings in Alzheimer’s Disease: Evidence for Involvement of the Gamma Band , 2002, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[23]  Karl J. Friston Functional integration and inference in the brain , 2002, Progress in Neurobiology.

[24]  P. Slagboom,et al.  Organisation of the human genome and our tools for identifying disease genes , 2002, Biological Psychology.

[25]  R Quian Quiroga,et al.  Performance of different synchronization measures in real data: a case study on electroencephalographic signals. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[26]  Cornelis J Stam,et al.  Seizure detection in the neonatal EEG with synchronization likelihood , 2003, Clinical Neurophysiology.

[27]  C. Stam,et al.  Nonlinear synchronization in EEG and whole‐head MEG recordings of healthy subjects , 2003, Human brain mapping.

[28]  E. Gordon,et al.  Synchronous Gamma activity: a review and contribution to an integrative neuroscience model of schizophrenia , 2003, Brain Research Reviews.

[29]  C. Stam,et al.  EEG synchronization in mild cognitive impairment and Alzheimer's disease , 2003, Acta neurologica Scandinavica.

[30]  Cornelis J. Stam,et al.  Chaos, Continuous EEG, and Cognitive Mechanisms: a Future for Clinical Neurophysiology , 2003 .

[31]  C. J. Stam,et al.  EEG synchronization likelihood in mild cognitive impairment and Alzheimer's disease during a working memory task , 2004, Clinical Neurophysiology.

[32]  Michael Vourkas,et al.  Changes in Linear and Nonlinear EEG Measures as a Function of Task Complexity: Evidence for Local and Distant Signal Synchronization , 2004, Brain Topography.

[33]  Claudio Babiloni,et al.  Abnormal fronto‐parietal coupling of brain rhythms in mild Alzheimer's disease: a multicentric EEG study , 2004, The European journal of neuroscience.

[34]  Michael Breakspear,et al.  A Novel Method for the Topographic Analysis of Neural Activity Reveals Formation and Dissolution of ‘Dynamic Cell Assemblies’ , 2004, Journal of Computational Neuroscience.

[35]  Cornelis J Stam,et al.  Abnormal EEG synchronisation in heavily drinking students , 2004, Clinical Neurophysiology.

[36]  Karl J. Friston,et al.  Evaluation of different measures of functional connectivity using a neural mass model , 2004, NeuroImage.

[37]  D. I. Boomsma,et al.  Genetics of the human electroencephalogram (EEG) and event-related brain potentials (ERPs): a review , 1994, Human Genetics.

[38]  C. Stam,et al.  Scale‐free dynamics of global functional connectivity in the human brain , 2004, Human brain mapping.

[39]  M. Dumont,et al.  Interdependency between heart rate variability and sleep EEG: linear/non-linear? , 2004, Clinical Neurophysiology.

[40]  Dora E Angelaki,et al.  Control of eye orientation: where does the brain's role end and the muscle's begin? , 2004, The European journal of neuroscience.

[41]  Cornelis J Stam,et al.  Different EEG frequency band synchronization during nocturnal frontal lobe seizures , 2004, Clinical Neurophysiology.

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

[43]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.