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Functional and effective whole brain connectivity using magnetoencephalography to identify monozygotic twin pairs.


ABSTRACT: Resting-state functional connectivity patterns are highly stable over time within subjects. This suggests that such 'functional fingerprints' may have strong genetic component. We investigated whether the functional (FC) or effective (EC) connectivity patterns of one monozygotic twin could be used to identify the co-twin among a larger sample and determined the overlap in functional fingerprints within monozygotic (MZ) twin pairs using resting state magnetoencephalography (MEG). We included 32 cognitively normal MZ twin pairs from the Netherlands Twin Register who participate in the EMIF-AD preclinAD study (average age 68 years). Combining EC information across multiple frequency bands we obtained an identification rate over 75%. Since MZ twin pairs are genetically identical these results suggest a high genetic contribution to MEG-based EC patterns, leading to large similarities in brain connectivity patterns between two individuals even after 60 years of life or more.

SUBMITTER: Demuru M 

PROVIDER: S-EPMC5575140 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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Functional and effective whole brain connectivity using magnetoencephalography to identify monozygotic twin pairs.

Demuru M M   Gouw A A AA   Hillebrand A A   Stam C J CJ   van Dijk B W BW   Scheltens P P   Tijms B M BM   Konijnenberg E E   Ten Kate M M   den Braber A A   Smit D J A DJA   Boomsma D I DI   Visser P J PJ  

Scientific reports 20170829 1


Resting-state functional connectivity patterns are highly stable over time within subjects. This suggests that such 'functional fingerprints' may have strong genetic component. We investigated whether the functional (FC) or effective (EC) connectivity patterns of one monozygotic twin could be used to identify the co-twin among a larger sample and determined the overlap in functional fingerprints within monozygotic (MZ) twin pairs using resting state magnetoencephalography (MEG). We included 32 c  ...[more]

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