Crystallized and fluid intelligence are predicted by microstructure of specific white-matter tracts.

Abstract:

:Studies of the neural basis of intelligence have focused on comparing brain imaging variables with global scales instead of the cognitive domains integrating these scales or quotients. Here, the relation between mean tract-based fractional anisotropy (mTBFA) and intelligence indices was explored. Deterministic tractography was performed using a regions of interest approach for 10 white-matter fascicles along which the mTBFA was calculated. The study sample included 83 healthy individuals from the second wave of the Cuban Human Brain Mapping Project, whose WAIS-III intelligence quotients and indices were obtained. Inspired by the "Watershed model" of intelligence, we employed a regularized hierarchical Multiple Indicator, Multiple Causes model (MIMIC), to assess the association of mTBFA with intelligence scores, as mediated by latent variables summarizing the indices. Regularized MIMIC, used due to the limited sample size, selected relevant mTBFA by means of an elastic net penalty and achieved good fits to the data. Two latent variables were necessary to describe the indices: Fluid intelligence (Perceptual Organization and Processing Speed indices) and Crystallized Intelligence (Verbal Comprehension and Working Memory indices). Regularized MIMIC revealed effects of the forceps minor tract on crystallized intelligence and of the superior longitudinal fasciculus on fluid intelligence. The model also detected the significant effect of age on both latent variables.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Góngora D,Vega-Hernández M,Jahanshahi M,Valdés-Sosa PA,Bringas-Vega ML,CHBMP.

doi

10.1002/hbm.24848

subject

Has Abstract

pub_date

2020-03-01 00:00:00

pages

906-916

issue

4

eissn

1065-9471

issn

1097-0193

journal_volume

41

pub_type

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