Literature DB >> 29694282

Invariant and heritable local cortical organization as revealed by fMRI.

Peka Christova1,2, Apostolos P Georgopoulos1,2.   

Abstract

Neural interactions in local cortical networks critically depend on the distance between interacting elements: the shorter the distance, the stronger the interactions. Here we quantified these interactions in six cortical areas of 854 individuals, including monozygotic and dizygotic twins, nontwin siblings, and nonrelated individuals. We found that the strength of zero-lag correlation between prewhitened, resting-state, blood level oxygenation-dependent functional magnetic resonance imaging time series decreased with distance as a power law. The rate of decrease, b, varied among individuals by ~1.9×, was highly correlated between hemispheres, but differed among areas (by ~1.2×) in a systematic fashion, becoming progressively less steep from frontal to occipital areas. With respect to twin status, b was significantly correlated between monozygotic twins, less so between dizygotic twins or nontwin siblings, and not at all in nonrelated individuals. These results quantify the lawful, distance-related cortical interactions and demonstrate, for the first time, the heritability of their power law. NEW & NOTEWORTHY Local cortical circuitry involves orderly neuronal interactions. A key feature of these interactions is that they are stronger the closer the interacting neurons. Here we quantified this crucial dependence of neural interactions on distance with functional magnetic resonance imaging and found that the strength of interactions decreases with distance as a power law that is very similar in all cortical lobes and heritable. These findings identify an invariant and heritable property of local cortical organization.

Entities:  

Keywords:  cerebral cortex; fMRI; local cortical circuits

Mesh:

Year:  2018        PMID: 29694282      PMCID: PMC6139456          DOI: 10.1152/jn.00137.2018

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  12 in total

Review 1.  The intrinsic, association and commissural connections of area 17 on the visual cortex.

Authors:  R A Fisken; L J Garey; T P Powell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1975-11-20       Impact factor: 6.237

2.  The intrinsic connections of the cortex of area 4 of the monkey.

Authors:  K C Gatter; J J Sloper; T P Powell
Journal:  Brain       Date:  1978-09       Impact factor: 13.501

3.  Relationship of intrinsic connections to forelimb movement representations in monkey motor cortex: a correlative anatomic and physiological study.

Authors:  G W Huntley; E G Jones
Journal:  J Neurophysiol       Date:  1991-08       Impact factor: 2.714

4.  Large-scale organization of preferred directions in the motor cortex. II. Analysis of local distributions.

Authors:  Thomas Naselaris; Hugo Merchant; Bagrat Amirikian; Apostolos P Georgopoulos
Journal:  J Neurophysiol       Date:  2006-09-13       Impact factor: 2.714

5.  Large-scale organization of preferred directions in the motor cortex. I. Motor cortical hyperacuity for forward reaching.

Authors:  Thomas Naselaris; Hugo Merchant; Bagrat Amirikian; Apostolos P Georgopoulos
Journal:  J Neurophysiol       Date:  2006-09-13       Impact factor: 2.714

6.  Mapping of the preferred direction in the motor cortex.

Authors:  Apostolos P Georgopoulos; Hugo Merchant; Thomas Naselaris; Bagrat Amirikian
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-14       Impact factor: 11.205

7.  True associations between resting fMRI time series based on innovations.

Authors:  P Christova; S M Lewis; T A Jerde; J K Lynch; A P Georgopoulos
Journal:  J Neural Eng       Date:  2011-06-29       Impact factor: 5.379

Review 8.  The WU-Minn Human Connectome Project: an overview.

Authors:  David C Van Essen; Stephen M Smith; Deanna M Barch; Timothy E J Behrens; Essa Yacoub; Kamil Ugurbil
Journal:  Neuroimage       Date:  2013-05-16       Impact factor: 6.556

9.  Statistical analyses support power law distributions found in neuronal avalanches.

Authors:  Andreas Klaus; Shan Yu; Dietmar Plenz
Journal:  PLoS One       Date:  2011-05-26       Impact factor: 3.240

10.  Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project.

Authors:  Kamil Uğurbil; Junqian Xu; Edward J Auerbach; Steen Moeller; An T Vu; Julio M Duarte-Carvajalino; Christophe Lenglet; Xiaoping Wu; Sebastian Schmitter; Pierre Francois Van de Moortele; John Strupp; Guillermo Sapiro; Federico De Martino; Dingxin Wang; Noam Harel; Michael Garwood; Liyong Chen; David A Feinberg; Stephen M Smith; Karla L Miller; Stamatios N Sotiropoulos; Saad Jbabdi; Jesper L R Andersson; Timothy E J Behrens; Matthew F Glasser; David C Van Essen; Essa Yacoub
Journal:  Neuroimage       Date:  2013-05-21       Impact factor: 6.556

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  3 in total

1.  Effects of sex and age on presumed inhibitory interactions in 6 areas of the human cerebral cortex as revealed by the fMRI Human Connectome Project.

Authors:  Peka Christova; Lisa M James; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2022-01-30       Impact factor: 1.972

2.  Functional cortical associations and their intraclass correlations and heritability as revealed by the fMRI Human Connectome Project.

Authors:  Peka Christova; Jasmine Joseph; Apostolos P Georgopoulos
Journal:  Exp Brain Res       Date:  2022-03-15       Impact factor: 1.972

3.  The dynamic shaping of local cortical circuitry by sex and age, and its relation to pattern comparison processing speed.

Authors:  Peka Christova; Lisa M James; Apostolos P Georgopoulos
Journal:  J Neurophysiol       Date:  2022-07-06       Impact factor: 2.974

  3 in total

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