Associations between cognition, personality, and mental health during adolescence
Poster No:
959
Submission Type:
Abstract Submission
Authors:
Jiadong Yan1, Paule Toussaint2, Yasser Iturria-Medina1, Alan Evans3, Sherif Karama4
Institutions:
1McGill, Montreal, Quebec, 2McGill University, Montreal, QC, 3McGill University, Montreal, Quebec, 4Douglas Institute, Montreal, Quebec
First Author:
Co-Author(s):
Introduction:
Mounting evidence has established associations between specific scores of cognitions, personality, and mental health throughout development and ageing. However, these associations between more comprehensive behaviors during adolescence are still under investigation. Recent rapid development of brain structural imaging technologies provide the possibility to explore these associations based on a comprehensive set of brain morphometry measures. In the current study, we adopted a large sample from ABCD dataset with comprehensive brain morphometry and behavioral data to investigate the associations between cognition, personality, and mental health during adolescence. We aim to deepen our understanding of the underlying brain mechanisms of different adolescent behaviors, as well as the associations between these behaviors, and further provide guidance for better adolescent neurodevelopment.
Methods:
Data: We selected the full ABCD 5.1 release cohort, which includes 27595 scans of 11868 subjects ranging from 9 to 15 years old across 22 sites. Then we performed a strict exclusion process1, yielding a final cohort including 6255 scans of 4501 subjects. For each scan, we utilized a comprehensive set of 16563 brain morphometry measures across region, connection, and hub aspects1, as well as 26 behavioral assessments: 6 cognitive measures, 9 impulsivity-related personality measures, and 11 mental health measures.
Computational models: In order to obtain the association patterns between brain morphometry and adolescent behaviors, we performed a large-scale LASSO with 1000 bootstraps, as shown in Fig. 1. We were able to identify the significantly associated morphometry measures from a total of 16563 measures for each of the 26 adopted behaviors. We then performed exploratory factor analyses2 to investigate the associations of 26 behaviors, not only based on the scores but also based on the association patterns.
Computational models: In order to obtain the association patterns between brain morphometry and adolescent behaviors, we performed a large-scale LASSO with 1000 bootstraps, as shown in Fig. 1. We were able to identify the significantly associated morphometry measures from a total of 16563 measures for each of the 26 adopted behaviors. We then performed exploratory factor analyses2 to investigate the associations of 26 behaviors, not only based on the scores but also based on the association patterns.
·Fig. 1. The large-scale LASSO for investigating the associations between brain morphometry and adolescent behaviors.
Results:
Firstly, we performed the large-scale LASSO on the brain morphometry and behavior data. The results showed that each adolescent behavior had a significant association pattern with brain morphometry. Secondly, we performed exploratory factor analyses to investigate the associations between different behaviors based on scores and patterns, respectively. The exploratory factor analysis based on scores (Fig. 2) showed that the behavioral scores had stronger associations with other behaviors in the same domain than those in the different domains. The factor analysis based on patterns showed that cognition patterns had stronger associations with other patterns in the same domain than those in the different domains. However, some personality and mental health patterns had stronger associations with each other, though they were not in the same behavioral domains.
·Fig. 2. Associations between cognition, personality, and mental health during adolescence based on scores and brain morphometry association patterns.
Conclusions:
Firstly, we found that brain morphometry is significantly associated with all adolescent behaviors. Secondly, all behavioral scores are more associated with the scores within their own domain. Thirdly, cognitive patterns based on brain morphometry are still more associated with the patterns within the cognitive domain, while some personality and mental health measures show higher associations with each other based on brain morphometry. This might indicate that these personality and mental health measures have more shared variance with brain morphometry during adolescence, while cognitions tend to be more independent across three different domains.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia)
Lifespan Development:
Early life, Adolescence, Aging 1
Modeling and Analysis Methods:
Classification and Predictive Modeling
Novel Imaging Acquisition Methods:
Multi-Modal Imaging 2
Keywords:
Other - Adolescent behavior, Large-scale computational model
1|2Indicates the priority used for review
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Johnson, W. et al. (2008). Still just 1 g: Consistent results from five test batteries. Intelligence, 36(1), 81-95.