Literature DB >> 26046425

Individual differences in cognitive performance and brain structure in typically developing children.

Susumu Yokota1, Hikaru Takeuchi2, Teruo Hashimoto2, Hiroshi Hashizume2, Kohei Asano2, Michiko Asano2, Yuko Sassa2, Yasuyuki Taki3, Ryuta Kawashima4.   

Abstract

Individual differences in cognitive patterning is informative in understanding one's cognitive strengths and weaknesses. However, little is known about the difference in brain structures relating to individual differences in cognitive patterning. In this study, we classified typically developing children (n=277; age range, 5-16 years) into subtypes with k-means cluster analysis along with factor index scores using the Wechsler Intelligence Scale for Children (Third Edition). We then applied voxel-based morphometry to investigate whether significant gray-matter-volume differences existed among subtypes of cognitive patterns. Depending on the level of performance and cognitive patterning, we obtained six subtypes. One subtype that generally scored below average showed larger volume in the right middle temporal gyrus than the other five. On the other hand, two subtypes that achieved average levels of performance showed reverse-patterned factor index scores (one scored higher in Verbal Comprehension and Freedom from Distractibility, and the other scored lower in these two factor index scores) and had smaller volume in the right middle temporal gyrus than the other subtypes. From these results, we concluded that cognitive discrepancy was also obvious in typically developing children and that differences in cognitive patterning are represented in brain structure.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cognitive patterns; Factor index scores; Gray matter volume; MRI; Voxel-based morphometry; Wechsler Intelligence Scale for Children

Mesh:

Year:  2015        PMID: 26046425     DOI: 10.1016/j.dcn.2015.05.003

Source DB:  PubMed          Journal:  Dev Cogn Neurosci        ISSN: 1878-9293            Impact factor:   6.464


  7 in total

1.  Verbal-spatial IQ discrepancies impact brain activation associated with the resolution of cognitive conflict in children and adolescents.

Authors:  Amy E Margolis; Katie S Davis; Lisa S Pao; Amy Lewis; Xiao Yang; Gregory Tau; Guihu Zhao; Zhishun Wang; Rachel Marsh
Journal:  Dev Sci       Date:  2017-02-15

Review 2.  The Heterogeneity Problem: Approaches to Identify Psychiatric Subtypes.

Authors:  Eric Feczko; Oscar Miranda-Dominguez; Mollie Marr; Alice M Graham; Joel T Nigg; Damien A Fair
Journal:  Trends Cogn Sci       Date:  2019-05-29       Impact factor: 20.229

3.  Prenatal environmental tobacco smoke exposure alters children's cognitive control circuitry: A preliminary study.

Authors:  Amy E Margolis; David Pagliaccio; Bruce Ramphal; Sarah Banker; Lauren Thomas; Morgan Robinson; Masato Honda; Tamara Sussman; Jonathan Posner; Kurunthachalam Kannan; Julie Herbstman; Virginia Rauh; Rachel Marsh
Journal:  Environ Int       Date:  2021-05-06       Impact factor: 13.352

4.  Towards robust and replicable sex differences in the intrinsic brain function of autism.

Authors:  Dorothea L Floris; José O A Filho; Meng-Chuan Lai; Steve Giavasis; Marianne Oldehinkel; Maarten Mennes; Tony Charman; Julian Tillmann; Guillaume Dumas; Christine Ecker; Flavio Dell'Acqua; Tobias Banaschewski; Carolin Moessnang; Simon Baron-Cohen; Sarah Durston; Eva Loth; Declan G M Murphy; Jan K Buitelaar; Christian F Beckmann; Michael P Milham; Adriana Di Martino
Journal:  Mol Autism       Date:  2021-03-01       Impact factor: 6.476

5.  Retrospective study of late radiation-induced damages after focal radiotherapy for childhood brain tumors.

Authors:  Claudia Cavatorta; Silvia Meroni; Eros Montin; Maria C Oprandi; Emilia Pecori; Mara Lecchi; Barbara Diletto; Ombretta Alessandro; Denis Peruzzo; Veronica Biassoni; Elisabetta Schiavello; Marco Bologna; Maura Massimino; Geraldina Poggi; Luca Mainardi; Filippo Arrigoni; Filippo Spreafico; Paolo Verderio; Emanuele Pignoli; Lorenza Gandola
Journal:  PLoS One       Date:  2021-02-26       Impact factor: 3.240

6.  Effects of the BDNF Val66Met Polymorphism on Gray Matter Volume in Typically Developing Children and Adolescents.

Authors:  Teruo Hashimoto; Kento Fukui; Hikaru Takeuchi; Susumu Yokota; Yoshie Kikuchi; Hiroaki Tomita; Yasuyuki Taki; Ryuta Kawashima
Journal:  Cereb Cortex       Date:  2016-01-31       Impact factor: 5.357

7.  Brain responses to human-voice processing predict child development and intelligence.

Authors:  Kyung-Min An; Chiaki Hasegawa; Tetsu Hirosawa; Sanae Tanaka; Daisuke N Saito; Hirokazu Kumazaki; Ken Yaoi; Mitsuru Kikuchi; Yuko Yoshimura
Journal:  Hum Brain Mapp       Date:  2020-02-23       Impact factor: 5.038

  7 in total

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