TY - JOUR
T1 - BrainAGE, brain health, and mental disorders
T2 - A systematic review
AU - Seitz-Holland, Johanna
AU - Haas, Shalaila S.
AU - Penzel, Nora
AU - Reichenberg, Abraham
AU - Pasternak, Ofer
N1 - Publisher Copyright:
© 2024
PY - 2024/4
Y1 - 2024/4
N2 - The imaging-based method of brainAGE aims to characterize an individual's vulnerability to age-related brain changes. The present study systematically reviewed brainAGE findings in neuropsychiatric conditions and discussed the potential of brainAGE as a marker for biological age. A systematic PubMed search (from inception to March 6th, 2023) identified 273 articles. The 30 included studies compared brainAGE between neuropsychiatric and healthy groups (n≥50). We presented results qualitatively and adapted a bias risk assessment questionnaire. The imaging modalities, design, and input features varied considerably between studies. While the studies found higher brainAGE in neuropsychiatric conditions (11 mild cognitive impairment/ dementia, 11 schizophrenia spectrum/ other psychotic and bipolar disorder, six depression/ anxiety, two multiple groups), the associations with clinical characteristics were mixed. While brainAGE is sensitive to group differences, limitations include the lack of diverse training samples, multi-modal studies, and external validation. Only a few studies obtained longitudinal data, and all have used algorithms built solely to predict chronological age. These limitations impede the validity of brainAGE as a biological age marker.
AB - The imaging-based method of brainAGE aims to characterize an individual's vulnerability to age-related brain changes. The present study systematically reviewed brainAGE findings in neuropsychiatric conditions and discussed the potential of brainAGE as a marker for biological age. A systematic PubMed search (from inception to March 6th, 2023) identified 273 articles. The 30 included studies compared brainAGE between neuropsychiatric and healthy groups (n≥50). We presented results qualitatively and adapted a bias risk assessment questionnaire. The imaging modalities, design, and input features varied considerably between studies. While the studies found higher brainAGE in neuropsychiatric conditions (11 mild cognitive impairment/ dementia, 11 schizophrenia spectrum/ other psychotic and bipolar disorder, six depression/ anxiety, two multiple groups), the associations with clinical characteristics were mixed. While brainAGE is sensitive to group differences, limitations include the lack of diverse training samples, multi-modal studies, and external validation. Only a few studies obtained longitudinal data, and all have used algorithms built solely to predict chronological age. These limitations impede the validity of brainAGE as a biological age marker.
KW - Anxiety
KW - Biological age
KW - Bipolar disorder
KW - Dementia
KW - Depression
KW - Machine-learning
KW - Neurodegeneration
KW - Neuroimaging
KW - Neuropsychiatric disorders
KW - Paradox of biomarkers
KW - Prediction
KW - Schizophrenia
KW - Serious mental illness
UR - http://www.scopus.com/inward/record.url?scp=85185765484&partnerID=8YFLogxK
U2 - 10.1016/j.neubiorev.2024.105581
DO - 10.1016/j.neubiorev.2024.105581
M3 - Review article
C2 - 38354871
AN - SCOPUS:85185765484
SN - 0149-7634
VL - 159
JO - Neuroscience and Biobehavioral Reviews
JF - Neuroscience and Biobehavioral Reviews
M1 - 105581
ER -