Reliable multimodal brain patterns predict longitudinal mental health outcomes in early adolescence

Motivation: Mental health in adolescence is an increasing concern, and early intervention of children at-risk of poor outcomes is key. Goal(s): Our goal was to identify multimodal brain patterns that predict longitudinal behavioural and mental health measures. Approach: Linked variations of cortical structure and white matter microstructure were assessed for relationships with longitudinal clinical measures. Results: Together, macro and microstructural features within emotion regulation regions reliably predicted longitudinal symptoms of anxiety and depression. Deep gray matter volume and projection fibre microstructure predicted behavioural inhibition and sensation seeking in males, with differences between pairs of twins with and without self-injurious behaviour. Impact: Our results demonstrate reliable brain patterns in childhood that predict primarily sub-clinical symptoms of anxiety and depression in a population-based sample. These findings motivate early supports and interventions for children identified at-risk of poor mental health trajectories.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/2093
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Reliable multimodal brain patterns predict longitudinal mental health outcomes in early adolescence

Kathryn Y. Manning, Catherine A. Lebel, Alberto Llera
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Emotion and Mood Recognition
article

Reliable multimodal brain patterns predict longitudinal mental health outcomes in early adolescence

Kathryn Y. Manning, Catherine A. Lebel, Alberto Llera
article en

Abstract

Motivation: Mental health in adolescence is an increasing concern, and early intervention of children at-risk of poor outcomes is key. Goal(s): Our goal was to identify multimodal brain patterns that predict longitudinal behavioural and mental health measures. Approach: Linked variations of cortical structure and white matter microstructure were assessed for relationships with longitudinal clinical measures. Results: Together, macro and microstructural features within emotion regulation regions reliably predicted longitudinal symptoms of anxiety and depression. Deep gray matter volume and projection fibre microstructure predicted behavioural inhibition and sensation seeking in males, with differences between pairs of twins with and without self-injurious behaviour. Impact: Our results demonstrate reliable brain patterns in childhood that predict primarily sub-clinical symptoms of anxiety and depression in a population-based sample. These findings motivate early supports and interventions for children identified at-risk of poor mental health trajectories.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 75%
Emotion and Mood Recognition
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