Literature DB >> 31744324

Brain Development Includes Linear and Multiple Nonlinear Trajectories: A Cross-Sectional Resting-State Functional Magnetic Resonance Imaging Study.

Ashkan Faghiri1,2, Julia M Stephen1, Yu-Ping Wang3,4, Tony W Wilson5,6, Vince D Calhoun1,2.   

Abstract

Studies of brain structure have shown that the cortex matures in both a linear and nonlinear manner depending on the time window and specific region studied. In addition, it has been shown that socioeconomic status can impact brain development throughout childhood. However, very few studies have evaluated these patterns using functional measures. To this end, in this study we used cross-sectional resting-state functional magnetic resonance imaging data of 368 subjects, age 3-21 years, to examine the linear and nonlinear development of brain connectivity. We employed a clustering approach to characterize these developmental patterns into different linear and nonlinear groups. Our results showed that functional brain development exhibits multiple types of linear and nonlinear patterns, and assuming that brain connectivity values reach a stable state after a specific age might be misleading.

Keywords:  ICA; brain connectivity; fMRI; maturation; nonlinear development; resting state

Mesh:

Year:  2019        PMID: 31744324      PMCID: PMC6919262          DOI: 10.1089/brain.2018.0641

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  55 in total

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2.  Effects of age on volumes of cortex, white matter and subcortical structures.

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Review 3.  The Neuroscience of Socioeconomic Status: Correlates, Causes, and Consequences.

Authors:  Martha J Farah
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4.  Testing a dual-systems model of adolescent brain development using resting-state connectivity analyses.

Authors:  A C K van Duijvenvoorde; M Achterberg; B R Braams; S Peters; E A Crone
Journal:  Neuroimage       Date:  2015-05-10       Impact factor: 6.556

5.  Delayed stabilization and individualization in connectome development are related to psychiatric disorders.

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Journal:  Nat Neurosci       Date:  2017-02-20       Impact factor: 24.884

6.  Prospective motion correction of high-resolution magnetic resonance imaging data in children.

Authors:  Timothy T Brown; Joshua M Kuperman; Matthew Erhart; Nathan S White; J Cooper Roddey; Ajit Shankaranarayanan; Eric T Han; Dan Rettmann; Anders M Dale
Journal:  Neuroimage       Date:  2010-06-11       Impact factor: 6.556

7.  Prospective motion correction improves diagnostic utility of pediatric MRI scans.

Authors:  Joshua M Kuperman; Timothy T Brown; Mazyar E Ahmadi; Matthew J Erhart; Nathan S White; J Cooper Roddey; Ajit Shankaranarayanan; Eric T Han; Dan Rettmann; Anders M Dale
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8.  The Integration of Functional Brain Activity from Adolescence to Adulthood.

Authors:  Prantik Kundu; Brenda E Benson; Dana Rosen; Sophia Frangou; Ellen Leibenluft; Wen-Ming Luh; Peter A Bandettini; Daniel S Pine; Monique Ernst
Journal:  J Neurosci       Date:  2018-02-27       Impact factor: 6.167

9.  What are the links between maternal social status, hippocampal function, and HPA axis function in children?

Authors:  Margaret A Sheridan; Joan How; Melanie Araujo; Michelle A Schamberg; Charles A Nelson
Journal:  Dev Sci       Date:  2013-08-07

10.  Development of large-scale functional brain networks in children.

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Journal:  PLoS Biol       Date:  2009-07-21       Impact factor: 8.029

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  4 in total

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Authors:  J M Stephen; I Solis; J Janowich; M Stern; M R Frenzel; J A Eastman; M S Mills; C M Embury; N M Coolidge; E Heinrichs-Graham; A Mayer; J Liu; Y P Wang; T W Wilson; V D Calhoun
Journal:  Neuroimage       Date:  2020-10-08       Impact factor: 6.556

2.  Spontaneous cortical MEG activity undergoes unique age- and sex-related changes during the transition to adolescence.

Authors:  Lauren R Ott; Samantha H Penhale; Brittany K Taylor; Brandon J Lew; Yu-Ping Wang; Vince D Calhoun; Julia M Stephen; Tony W Wilson
Journal:  Neuroimage       Date:  2021-09-10       Impact factor: 6.556

3.  Trajectory of rich club properties in structural brain networks.

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Journal:  Hum Brain Mapp       Date:  2022-05-27       Impact factor: 5.399

4.  Dynamic functional connectivity profile of the salience network across the life span.

Authors:  William Snyder; Lucina Q Uddin; Jason S Nomi
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  4 in total

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