Literature DB >> 28461057

Age-related functional brain changes in young children.

Xiangyu Long1, Alina Benischek1, Deborah Dewey2, Catherine Lebel3.   

Abstract

Brain function and structure change significantly during the toddler and preschool years. However, most studies focus on older or younger children, so the specific nature of these changes is unclear. In the present study, we analyzed 77 functional magnetic resonance imaging datasets from 44 children aged 2-6 years. We extracted measures of both local (amplitude of low frequency fluctuation and regional homogeneity) and global (eigenvector centrality mapping) activity and connectivity, and examined their relationships with age using robust linear correlation analysis and strict control for head motion. Brain areas within the default mode network and the frontoparietal network, such as the middle frontal gyrus, the inferior parietal lobule and the posterior cingulate cortex, showed increases in local and global functional features with age. Several brain areas such as the superior parietal lobule and superior temporal gyrus presented opposite development trajectories of local and global functional features, suggesting a shifting connectivity framework in early childhood. This development of functional connectivity in early childhood likely underlies major advances in cognitive abilities, including language and development of theory of mind. These findings provide important insight into the development patterns of brain function during the preschool years, and lay the foundation for future studies of altered brain development in young children with brain disorders or injury.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Age; Amplitude of low frequency fluctuations; Brain development; Default mode network; Frontoparietal network; Global connectivity; Local activity; Preschool; Regional homogeneity; fMRI

Mesh:

Year:  2017        PMID: 28461057     DOI: 10.1016/j.neuroimage.2017.04.059

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


  21 in total

1.  Sensorimotor network alterations in children and youth with prenatal alcohol exposure.

Authors:  Xiangyu Long; Graham Little; Christian Beaulieu; Catherine Lebel
Journal:  Hum Brain Mapp       Date:  2018-02-12       Impact factor: 5.038

2.  Longitudinal maturation of resting state networks: Relevance to sustained attention and attention deficit/hyperactivity disorder.

Authors:  Phoebe Thomson; Charles B Malpas; Nandita Vijayakumar; Katherine A Johnson; Vicki Anderson; Daryl Efron; Philip Hazell; Timothy J Silk
Journal:  Cogn Affect Behav Neurosci       Date:  2022-06-08       Impact factor: 3.282

3.  Centrality and interhemispheric coordination are related to different clinical/behavioral factors in attention deficit/hyperactivity disorder: a resting-state fMRI study.

Authors:  Livio Tarchi; Stefano Damiani; Teresa Fantoni; Tiziana Pisano; Giovanni Castellini; Pierluigi Politi; Valdo Ricca
Journal:  Brain Imaging Behav       Date:  2022-07-21       Impact factor: 3.224

4.  Test-retest reliability of diffusion tensor imaging scalars in 5-year-olds.

Authors:  Aylin Rosberg; Jetro J Tuulari; Venla Kumpulainen; Minna Lukkarinen; Elmo P Pulli; Eero Silver; Anni Copeland; Ekaterina Saukko; Jani Saunavaara; John D Lewis; Linnea Karlsson; Hasse Karlsson; Harri Merisaari
Journal:  Hum Brain Mapp       Date:  2022-09-13       Impact factor: 5.399

Review 5.  Does the child brain rest?: An examination and interpretation of resting cognition in developmental cognitive neuroscience.

Authors:  M Catalina Camacho; Laura E Quiñones-Camacho; Susan B Perlman
Journal:  Neuroimage       Date:  2020-02-27       Impact factor: 6.556

Review 6.  On the relation between theory of mind and executive functioning: A developmental cognitive neuroscience perspective.

Authors:  Mark Wade; Heather Prime; Jennifer M Jenkins; Keith O Yeates; Tricia Williams; Kang Lee
Journal:  Psychon Bull Rev       Date:  2018-12

Review 7.  Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.

Authors:  Han Zhang; Dinggang Shen; Weili Lin
Journal:  Neuroimage       Date:  2018-07-07       Impact factor: 6.556

8.  How to remove or control confounds in predictive models, with applications to brain biomarkers.

Authors:  Darya Chyzhyk; Gaël Varoquaux; Michael Milham; Bertrand Thirion
Journal:  Gigascience       Date:  2022-03-12       Impact factor: 6.524

9.  Hub Patterns-Based Detection of Dynamic Functional Network Metastates in Resting State: A Test-Retest Analysis.

Authors:  Xin Zhao; Qiong Wu; Yuanyuan Chen; Xizi Song; Hongyan Ni; Dong Ming
Journal:  Front Neurosci       Date:  2019-09-11       Impact factor: 4.677

10.  Estimating the Heritability of Developmental Change in Neural Connectivity, and Its Association With Changing Symptoms of Attention-Deficit/Hyperactivity Disorder.

Authors:  Gustavo Sudre; Marine Bouyssi-Kobar; Luke Norman; Wendy Sharp; Saadia Choudhury; Philip Shaw
Journal:  Biol Psychiatry       Date:  2020-06-13       Impact factor: 12.810

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