Literature DB >> 23711536

Networks of anatomical covariance.

Alan C Evans1.   

Abstract

Functional imaging or diffusion-weighted imaging techniques are widely used to understand brain connectivity at the systems level and its relation to normal neurodevelopment, cognition or brain disorders. It is also possible to extract information about brain connectivity from the covariance of morphological metrics derived from anatomical MRI. These covariance patterns may arise from genetic influences on normal development and aging, from mutual trophic reinforcement as well as from experience-related plasticity. This review describes the basic methodological strategies, the biological basis of the observed covariance as well as applications in normal brain and brain disease before a final review of future prospects for the technique.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectivity; Cortical thickness; Structural covariance

Mesh:

Year:  2013        PMID: 23711536     DOI: 10.1016/j.neuroimage.2013.05.054

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  143 in total

Review 1.  Connectivity-based parcellation: Critique and implications.

Authors:  Simon B Eickhoff; Bertrand Thirion; Gaël Varoquaux; Danilo Bzdok
Journal:  Hum Brain Mapp       Date:  2015-09-27       Impact factor: 5.038

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.  Selective association between cortical thickness and reference abilities in normal aging.

Authors:  Seonjoo Lee; Christian Habeck; Qolamreza Razlighi; Timothy Salthouse; Yaakov Stern
Journal:  Neuroimage       Date:  2016-06-25       Impact factor: 6.556

6.  Cortical Surface-Based Construction of Individual Structural Network with Application to Early Brain Development Study.

Authors:  Yu Meng; Gang Li; Weili Lin; John H Gilmore; Dinggang Shen
Journal:  Med Image Comput Comput Assist Interv       Date:  2015-11-18

7.  Multimodal Parcellations and Extensive Behavioral Profiling Tackling the Hippocampus Gradient.

Authors:  Anna Plachti; Simon B Eickhoff; Felix Hoffstaedter; Kaustubh R Patil; Angela R Laird; Peter T Fox; Katrin Amunts; Sarah Genon
Journal:  Cereb Cortex       Date:  2019-12-17       Impact factor: 5.357

Review 8.  Studying neuroanatomy using MRI.

Authors:  Jason P Lerch; André J W van der Kouwe; Armin Raznahan; Tomáš Paus; Heidi Johansen-Berg; Karla L Miller; Stephen M Smith; Bruce Fischl; Stamatios N Sotiropoulos
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

9.  Anomalous single-subject based morphological cortical networks in drug-naive, first-episode major depressive disorder.

Authors:  Taolin Chen; Keith M Kendrick; Jinhui Wang; Min Wu; Kaiming Li; Xiaoqi Huang; Yuejia Luo; Su Lui; John A Sweeney; Qiyong Gong
Journal:  Hum Brain Mapp       Date:  2017-02-08       Impact factor: 5.038

10.  Brain structural alterations are distributed following functional, anatomic and genetic connectivity.

Authors:  Franco Cauda; Andrea Nani; Jordi Manuello; Enrico Premi; Sara Palermo; Karina Tatu; Sergio Duca; Peter T Fox; Tommaso Costa
Journal:  Brain       Date:  2018-11-01       Impact factor: 13.501

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