Adolescent functional network connectivity prospectively predicts adult anxiety symptoms related to perceived COVID-19 economic adversity.
Felicia A HardiLeigh G GoetschiusVonnie McLoydNestor L Lopez-DuranColter MitchellLuke W HydeAdriene M BeltzChristopher S MonkPublished in: Journal of child psychology and psychiatry, and allied disciplines (2022)
A subgrouping algorithm identified young adults who were susceptible to adversity using their personalized functional network profiles derived from a priori brain regions. These results highlight potential prospective neural signatures involving heterogeneous emotion networks that predict individuals at the greatest risk for anxiety when experiencing adverse events.
Keyphrases
- young adults
- sleep quality
- resting state
- depressive symptoms
- early life
- mental health
- coronavirus disease
- childhood cancer
- white matter
- sars cov
- functional connectivity
- machine learning
- social support
- physical activity
- autism spectrum disorder
- deep learning
- genome wide
- multiple sclerosis
- network analysis
- human health
- risk assessment
- subarachnoid hemorrhage
- neural network
- respiratory syndrome coronavirus
- climate change
- blood brain barrier
- cerebral ischemia