Cerebellar Gray Matter Volume Is Associated With Cognitive Function and Psychopathology in Adolescence
Overview
Authors
Affiliations
Background: Accumulating evidence supports cerebellar involvement in mental disorders, such as schizophrenia, bipolar disorder, depression, anxiety disorders, and attention-deficit/hyperactivity disorder. However, little is known about the cerebellum in developmental stages of these disorders. In particular, whether cerebellar morphology is associated with early expression of specific symptom domains remains unclear.
Methods: We used machine learning to test whether cerebellar morphometric features could robustly predict general cognitive function and psychiatric symptoms in a large and well-characterized developmental community sample centered on adolescence (Philadelphia Neurodevelopmental Cohort, n = 1401, age 8-23 years).
Results: Cerebellar morphology was associated with both general cognitive function and general psychopathology (mean correlations between predicted and observed values: r = .20 and r = .13; p < .001). Analyses of specific symptom domains revealed significant associations with rates of norm-violating behavior (r = .17; p < .001) as well as psychosis (r = .12; p < .001) and anxiety (r = .09; p = .012) symptoms. In contrast, we observed no associations with attention deficits or depressive, manic, or obsessive-compulsive symptoms. Crucially, across 52 brain-wide anatomical features, cerebellar features emerged as the most important for prediction of general psychopathology, psychotic symptoms, and norm-violating behavior. Moreover, the association between cerebellar volume and psychotic symptoms and, to a lesser extent, norm-violating behavior remained significant when adjusting for several potentially confounding factors.
Conclusions: The robust associations with psychiatric symptoms in the age range when these typically emerge highlight the cerebellum as a key brain structure in the development of severe mental disorders.
Dagasso G, Wilms M, MacEachern S, Forkert N Front Big Data. 2024; 7:1429910.
PMID: 39722687 PMC: 11668761. DOI: 10.3389/fdata.2024.1429910.
Brain connectomes in youth at risk for serious mental illness: a longitudinal perspective.
Shakeel M, Metzak P, Lasby M, Long X, Souza R, Bray S Brain Imaging Behav. 2024; 19(1):82-98.
PMID: 39511103 DOI: 10.1007/s11682-024-00953-z.
Community-engaged artificial intelligence research: A scoping review.
Loftus T, Balch J, Abbott K, Hu D, Ruppert M, Shickel B PLOS Digit Health. 2024; 3(8):e0000561.
PMID: 39178307 PMC: 11343451. DOI: 10.1371/journal.pdig.0000561.
New clues for the role of cerebellum in schizophrenia and the associated cognitive impairment.
Faris P, Pischedda D, Palesi F, DAngelo E Front Cell Neurosci. 2024; 18:1386583.
PMID: 38799988 PMC: 11116653. DOI: 10.3389/fncel.2024.1386583.
Heritability of cerebellar subregion volumes in adolescent and young adult twins.
Strike L, Kerestes R, McMahon K, de Zubicaray G, Harding I, Medland S Hum Brain Mapp. 2024; 45(8):e26717.
PMID: 38798116 PMC: 11128777. DOI: 10.1002/hbm.26717.