Format

Send to

Choose Destination
Brain Imaging Behav. 2018 Jun 18. doi: 10.1007/s11682-018-9912-2. [Epub ahead of print]

Early adolescent brain markers of late adolescent academic functioning.

Author information

1
Department of Psychiatry, University of California San Diego, 9500 Gilman Drive #0603V, La Jolla, CA, 92093, USA. ameruelo@ucsd.edu.
2
Department of Psychiatry, University of California San Diego, 9500 Gilman Drive #0603V, La Jolla, CA, 92093, USA.
3
San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
4
VA San Diego Healthcare System, La Jolla, CA, USA.

Abstract

Academic performance in adolescence strongly influences adult prospects. Intelligence quotient (IQ) has historically been considered a strong predictor of academic performance. Less objectively explored have been morphometric features. We analyzed brain MRI morphometry metrics in early adolescence (age 12-14 years) as quantitative predictors of academic performance over high school using a naïve Bayesian classifier approach with n = 170 subjects. Based on the mean GPA, subjects were divided into high (GPA ≥3.54; n = 87) and low (GPA <3.54; n = 83) academic performers. Covariance analysis was performed to look at the influence of subject demographics. We examined predictive features from the 343 available regions (surface areas, cortical thickness, and subcortical volumes) and applied 4 algorithms for selection and reduction of attributes using Weka. Cortical thickness measures performed better than surface areas or subcortical volumes as predictors of academic performance. We identified 15 cortical thickness regions most predictive of academic performance, three of which have not been described in the literature predictive of academic performance. These were in the left hemisphere fusiform, bilateral insula, and left hemisphere paracentral regions. Prediction had a sensitivity of 0.65 and specificity of 0.73 with independent validation. Follow-up independent t-test analyses between high and low academic achievers on 10 of 15 regions showed between-group significance at the p < 0.05 level. High achievers demonstrated thicker cortices than low achievers. These newly identified regions may help pinpoint new targets for further study in understanding the developing adolescent brain in the classroom setting.

KEYWORDS:

Academic performance; Adolescence; Cortical thickness; Magnetic resonance imaging; naïve Bayesian classifier

PMID:
29911279
DOI:
10.1007/s11682-018-9912-2

Supplemental Content

Full text links

Icon for Springer
Loading ...
Support Center