Literature DB >> 26262928

Changing brains: how longitudinal functional magnetic resonance imaging studies can inform us about cognitive and social-affective growth trajectories.

Eveline A Crone1, Bernet M Elzinga1.   

Abstract

Brain imaging studies have demonstrated widespread changes in brain networks which support cognitive and social-affective development. These conclusions, however, are largely based on cross-sectional comparisons, which limits the possibility to investigate growth trajectories and detect individual changes. Understanding individual growth patterns is crucial if we want to ultimately understand how brain development is sensitive to environmental influences such as educational or psychological interventions or childhood maltreatment. Recently, longitudinal brain imaging studies in children and adolescents have taken the first steps into examining cognitive and social-affective brain functions longitudinally with several compelling findings. First, longitudinal measurements show that activations in some brain regions, such as the prefrontal, temporal, and parietal cortex, are relatively stable over time and can be used as predictors for cognitive functions, whereas activations in other brain regions, such as the amygdala and ventral striatum, are much more variable over time. Second, developmental studies reveal how these changes are related to age, puberty, and changes in performance. These findings have implications for understanding how environmental factors influence brain development. An important future direction will be to examine individual characteristics (e.g., genetic, temperamental, personality) which make individuals differentially susceptible to their environment.
© 2014 John Wiley & Sons, Ltd.

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Mesh:

Year:  2014        PMID: 26262928     DOI: 10.1002/wcs.1327

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Cogn Sci        ISSN: 1939-5078


  26 in total

Review 1.  Puberty and structural brain development in humans.

Authors:  Megan M Herting; Elizabeth R Sowell
Journal:  Front Neuroendocrinol       Date:  2016-12-19       Impact factor: 8.606

2.  Family conflict is associated with longitudinal changes in insular-striatal functional connectivity during adolescent risk taking under maternal influence.

Authors:  João F Guassi Moreira; Eva H Telzer
Journal:  Dev Sci       Date:  2017-12-11

3.  An alternative to domain-general or domain-specific frameworks for theorizing about human evolution and ontogenesis.

Authors:  Annette Karmiloff-Smith
Journal:  AIMS Neurosci       Date:  2015-06-19

Review 4.  Incorporating the social context into neurocognitive models of adolescent decision-making: A neuroimaging meta-analysis.

Authors:  Jorien van Hoorn; Holly Shablack; Kristen A Lindquist; Eva H Telzer
Journal:  Neurosci Biobehav Rev       Date:  2019-04-18       Impact factor: 8.989

5.  Functional connectivity in the social brain across childhood and adolescence.

Authors:  Ethan M McCormick; Jorien van Hoorn; Jessica R Cohen; Eva H Telzer
Journal:  Soc Cogn Affect Neurosci       Date:  2018-09-05       Impact factor: 3.436

6.  Neuroimaging of learning and development: improving ecological validity.

Authors:  Nienke van Atteveldt; Marlieke T R van Kesteren; Barbara Braams; Lydia Krabbendam
Journal:  Frontline Learn Res       Date:  2018

7.  Opportunities for Neurodevelopmental Plasticity From Infancy Through Early Adulthood.

Authors:  Amanda E Guyer; Koraly Pérez-Edgar; Eveline A Crone
Journal:  Child Dev       Date:  2018-04-17

8.  Prosocial Behavior and Depression: a Case for Developmental Gender Differences.

Authors:  Gabriela Alarcón; Erika E Forbes
Journal:  Curr Behav Neurosci Rep       Date:  2017-05-02

9.  Development of subcortical volumes across adolescence in males and females: A multisample study of longitudinal changes.

Authors:  Megan M Herting; Cory Johnson; Kathryn L Mills; Nandita Vijayakumar; Meg Dennison; Chang Liu; Anne-Lise Goddings; Ronald E Dahl; Elizabeth R Sowell; Sarah Whittle; Nicholas B Allen; Christian K Tamnes
Journal:  Neuroimage       Date:  2018-02-03       Impact factor: 6.556

10.  Developmental Variation in Amygdala Volumes: Modeling Differences Across Time, Age, and Puberty.

Authors:  Justin D Russell; Monica A Marsee; Carl F Weems
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-08-25
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