Literature DB >> 23051898

Developmental changes in the structure of the social brain in late childhood and adolescence.

Kathryn L Mills1, François Lalonde, Liv S Clasen, Jay N Giedd, Sarah-Jayne Blakemore.   

Abstract

Social cognition provides humans with the necessary skills to understand and interact with one another. One aspect of social cognition, mentalizing, is associated with a network of brain regions often referred to as the 'social brain.' These consist of medial prefrontal cortex [medial Brodmann Area 10 (mBA10)], temporoparietal junction (TPJ), posterior superior temporal sulcus (pSTS) and anterior temporal cortex (ATC). How these specific regions develop structurally across late childhood and adolescence is not well established. This study examined the structural developmental trajectories of social brain regions in the longest ongoing longitudinal neuroimaging study of human brain maturation. Structural trajectories of grey matter volume, cortical thickness and surface area were analyzed using surface-based cortical reconstruction software and mixed modeling in a longitudinal sample of 288 participants (ages 7-30 years, 857 total scans). Grey matter volume and cortical thickness in mBA10, TPJ and pSTS decreased from childhood into the early twenties. The ATC increased in grey matter volume until adolescence and in cortical thickness until early adulthood. Surface area for each region followed a cubic trajectory, peaking in early or pre-adolescence before decreasing into the early twenties. These results are discussed in the context of developmental changes in social cognition across adolescence.

Entities:  

Keywords:  MRI; adolescence; brain development; mentalizing; social cognition

Mesh:

Year:  2012        PMID: 23051898      PMCID: PMC3871734          DOI: 10.1093/scan/nss113

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


  74 in total

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6.  Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure.

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Journal:  Science       Date:  2010-12-24       Impact factor: 47.728

9.  Grasping the intentions of others: the perceived intentionality of an action influences activity in the superior temporal sulcus during social perception.

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Journal:  Child Dev       Date:  2009 Jul-Aug
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  100 in total

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Journal:  Child Dev       Date:  2015-10-07

2.  Neural correlates of adolescents' viewing of parents' and peers' emotions: Associations with risk-taking behavior and risky peer affiliations.

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Journal:  Hum Brain Mapp       Date:  2013-09-30       Impact factor: 5.038

Review 4.  Self-disclosure during adolescence: exploring the means, targets, and types of personal exchanges.

Authors:  Nandita Vijayakumar; Jennifer H Pfeifer
Journal:  Curr Opin Psychol       Date:  2019-08-29

5.  A longitudinal analysis of neural regions involved in reading the mind in the eyes.

Authors:  Sandy Overgaauw; Anna C K van Duijvenvoorde; Bregtje Gunther Moor; Eveline A Crone
Journal:  Soc Cogn Affect Neurosci       Date:  2014-07-25       Impact factor: 3.436

6.  The Need to Contribute During Adolescence.

Authors:  Andrew J Fuligni
Journal:  Perspect Psychol Sci       Date:  2018-12-18

7.  Machine Learning Analysis of the Relationships Between Gray Matter Volume and Childhood Trauma in a Transdiagnostic Community-Based Sample.

Authors:  Ashley N Clausen; Robin L Aupperle; Hung-Wen Yeh; Darcy Waller; Janelle Payne; Rayus Kuplicki; Elisabeth Akeman; Martin Paulus
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2019-03-13

8.  White Matter Abnormalities Associated With Subsyndromal Psychotic-Like Symptoms Predict Later Social Competence in Children and Adolescents.

Authors:  Pamela DeRosse; Toshikazu Ikuta; Katherine H Karlsgodt; Bart D Peters; Chaya B Gopin; Philip R Szeszko; Anil K Malhotra
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9.  Brain development and aging: overlapping and unique patterns of change.

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Journal:  Neuroimage       Date:  2012-12-12       Impact factor: 6.556

10.  Development and aging of cortical thickness correspond to genetic organization patterns.

Authors:  Anders M Fjell; Håkon Grydeland; Stine K Krogsrud; Inge Amlien; Darius A Rohani; Lia Ferschmann; Andreas B Storsve; Christian K Tamnes; Roser Sala-Llonch; Paulina Due-Tønnessen; Atle Bjørnerud; Anne Elisabeth Sølsnes; Asta K Håberg; Jon Skranes; Hauke Bartsch; Chi-Hua Chen; Wesley K Thompson; Matthew S Panizzon; William S Kremen; Anders M Dale; Kristine B Walhovd
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

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