The link between callosal thickness and intelligence in healthy children and adolescents.

Abstract:

:The link between brain structure and intelligence is a well-investigated topic, but existing analyses have mainly focused on adult samples. Studies in healthy children and adolescents are rare, and normative data specifically addressing the association between corpus callosum morphology and intellectual abilities are quite limited. To advance this field of research, we mapped the correlations between standardized intelligence measures and callosal thickness based on high-resolution magnetic resonance imaging (MRI) data. Our large and well-matched sample included 200 normally developing subjects (100 males, 100 females) ranging from 6 to 17 years of age. Although the strongest correlations were negative and confined to the splenium, the strength and the direction of intelligence-callosal thickness associations varied considerably. While significant correlations in females were mainly positive, significant correlations in males were exclusively negative. However, only the negative correlations in the overall sample (i.e., males and females combined) remained significant when controlling for multiple comparisons. The observed negative correlations between callosal thickness and intelligence in children and adolescents contrast with the positive correlations typically reported in adult samples. However, negative correlations are in line with reports from other pediatric studies relating cognitive measures to other brain attributes such as cortical thickness, gray matter volume, and gray matter density. Altogether, these findings suggest that relationships between callosal morphology and cognition are highly dynamic during brain maturation. Sex effects on links between callosal thickness and intelligence during childhood and adolescence are present but appear rather weak in general.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Luders E,Thompson PM,Narr KL,Zamanyan A,Chou YY,Gutman B,Dinov ID,Toga AW

doi

10.1016/j.neuroimage.2010.09.083

subject

Has Abstract

pub_date

2011-02-01 00:00:00

pages

1823-30

issue

3

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(10)01285-1

journal_volume

54

pub_type

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