Literature DB >> 23531697

Imaging structural co-variance between human brain regions.

Aaron Alexander-Bloch1, Jay N Giedd, Ed Bullmore.   

Abstract

Brain structure varies between people in a markedly organized fashion. Communities of brain regions co-vary in their morphological properties. For example, cortical thickness in one region influences the thickness of structurally and functionally connected regions. Such networks of structural co-variance partially recapitulate the functional networks of healthy individuals and the foci of grey matter loss in neurodegenerative disease. This architecture is genetically heritable, is associated with behavioural and cognitive abilities and is changed systematically across the lifespan. The biological meaning of this structural co-variance remains controversial, but it appears to reflect developmental coordination or synchronized maturation between areas of the brain. This Review discusses the state of current research into brain structural co-variance, its underlying mechanisms and its potential value in the understanding of various neurological and psychiatric conditions.

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Year:  2013        PMID: 23531697      PMCID: PMC4043276          DOI: 10.1038/nrn3465

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  202 in total

1.  Longitudinal mapping of cortical thickness and brain growth in normal children.

Authors:  Elizabeth R Sowell; Paul M Thompson; Christiana M Leonard; Suzanne E Welcome; Eric Kan; Arthur W Toga
Journal:  J Neurosci       Date:  2004-09-22       Impact factor: 6.167

2.  Genetic contributions to human brain morphology and intelligence.

Authors:  Hilleke E Hulshoff Pol; Hugo G Schnack; Danielle Posthuma; René C W Mandl; Wim F Baaré; Clarine van Oel; Neeltje E van Haren; D Louis Collins; Alan C Evans; Katrin Amunts; Uli Bürgel; Karl Zilles; Eco de Geus; Dorret I Boomsma; René S Kahn
Journal:  J Neurosci       Date:  2006-10-04       Impact factor: 6.167

Review 3.  Combining structural and functional neuroimaging data for studying brain connectivity: a review.

Authors:  Elena Rykhlevskaia; Gabriele Gratton; Monica Fabiani
Journal:  Psychophysiology       Date:  2007-11-07       Impact factor: 4.016

4.  Predicting human resting-state functional connectivity from structural connectivity.

Authors:  C J Honey; O Sporns; L Cammoun; X Gigandet; J P Thiran; R Meuli; P Hagmann
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-02       Impact factor: 11.205

5.  Predicting regional neurodegeneration from the healthy brain functional connectome.

Authors:  Juan Zhou; Efstathios D Gennatas; Joel H Kramer; Bruce L Miller; William W Seeley
Journal:  Neuron       Date:  2012-03-21       Impact factor: 17.173

6.  White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI.

Authors:  Derek K Jones; Thomas R Knösche; Robert Turner
Journal:  Neuroimage       Date:  2012-07-23       Impact factor: 6.556

7.  Structural equation modeling and principal component analysis of gray matter volumes in major depressive and bipolar disorders: differences in latent volumetric structure.

Authors:  Ping-Hong Yeh; Hongtu Zhu; Mark A Nicoletti; John P Hatch; Paolo Brambilla; Jair C Soares
Journal:  Psychiatry Res       Date:  2010-11-03       Impact factor: 3.222

8.  Integration and evolution of the cichlid mandible: the molecular basis of alternate feeding strategies.

Authors:  R Craig Albertson; J Todd Streelman; Thomas D Kocher; Pamela C Yelick
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-26       Impact factor: 11.205

9.  Supra-regional brain systems and the neuropathology of schizophrenia.

Authors:  I C Wright; T Sharma; Z R Ellison; P K McGuire; K J Friston; M J Brammer; R M Murray; E T Bullmore
Journal:  Cereb Cortex       Date:  1999-06       Impact factor: 5.357

10.  Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds.

Authors:  Karama S; Ad-Dab'bagh Y; Haier Rj; Deary Ij; Lyttelton Oc; Lepage C; Evans Ac
Journal:  Intelligence       Date:  2009-03
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  339 in total

1.  A testosterone-related structural brain phenotype predicts aggressive behavior from childhood to adulthood.

Authors:  Tuong-Vi Nguyen; James T McCracken; Matthew D Albaugh; Kelly N Botteron; James J Hudziak; Simon Ducharme
Journal:  Psychoneuroendocrinology       Date:  2015-09-25       Impact factor: 4.905

2.  Alterations in Anatomical Covariance in the Prematurely Born.

Authors:  Dustin Scheinost; Soo Hyun Kwon; Cheryl Lacadie; Betty R Vohr; Karen C Schneider; Xenophon Papademetris; R Todd Constable; Laura R Ment
Journal:  Cereb Cortex       Date:  2017-01-01       Impact factor: 5.357

3.  Structural and Maturational Covariance in Early Childhood Brain Development.

Authors:  Xiujuan Geng; Gang Li; Zhaohua Lu; Wei Gao; Li Wang; Dinggang Shen; Hongtu Zhu; John H Gilmore
Journal:  Cereb Cortex       Date:  2017-03-01       Impact factor: 5.357

4.  Cross-population myelination covariance of human cerebral cortex.

Authors:  Zhiwei Ma; Nanyin Zhang
Journal:  Hum Brain Mapp       Date:  2017-06-20       Impact factor: 5.038

5.  Multicenter mapping of structural network alterations in autism.

Authors:  Sofie L Valk; Adriana Di Martino; Michael P Milham; Boris C Bernhardt
Journal:  Hum Brain Mapp       Date:  2015-02-25       Impact factor: 5.038

6.  Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI.

Authors:  Shai Berman; Roey Schurr; Gal Atlan; Ami Citri; Aviv A Mezer
Journal:  Cereb Cortex Commun       Date:  2020-09-01

7.  Individual differences in regional cortical volumes across the life span are associated with regional optical measures of arterial elasticity.

Authors:  Antonio M Chiarelli; Mark A Fletcher; Chin Hong Tan; Kathy A Low; Edward L Maclin; Benjamin Zimmerman; Tania Kong; Alexander Gorsuch; Gabriele Gratton; Monica Fabiani
Journal:  Neuroimage       Date:  2017-09-01       Impact factor: 6.556

Review 8.  Understanding the Emergence of Neuropsychiatric Disorders With Network Neuroscience.

Authors:  Danielle S Bassett; Cedric Huchuan Xia; Theodore D Satterthwaite
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2018-04-05

9.  Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization.

Authors:  Aristeidis Sotiras; Susan M Resnick; Christos Davatzikos
Journal:  Neuroimage       Date:  2014-12-12       Impact factor: 6.556

10.  Structural covariance of the default network in healthy and pathological aging.

Authors:  R Nathan Spreng; Gary R Turner
Journal:  J Neurosci       Date:  2013-09-18       Impact factor: 6.167

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