Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Gray matter volume drives the brain age gap in schizophrenia: a SHAP study
44
Zitationen
18
Autoren
2023
Jahr
Abstract
< 0.03) as the feature that influences the BAG observed in SCZ among the brain features that are most predictive of brain age. Other brain features also presented differences in SHAP values between SCZ and HC, but they were not significantly associated with the BAG. We compared the findings with a non-psychotic depression dataset (CAN-BIND), where the interaction was not significant. This study has important implications for the understanding of brain age prediction models and the BAG in SCZ and, potentially, in other psychiatric disorders.
Ähnliche Arbeiten
Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain
2002 · 16.741 Zit.
Advances in functional and structural MR image analysis and implementation as FSL
2004 · 14.087 Zit.
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest
2006 · 13.975 Zit.
A New Depression Scale Designed to be Sensitive to Change
1979 · 13.872 Zit.
A default mode of brain function
2001 · 12.366 Zit.
Autoren
Institutionen
- McMaster University(CA)
- University of Toronto(CA)
- Occupational Cancer Research Centre(CA)
- Unity Health Toronto
- Western University(CA)
- Robarts Clinical Trials(CA)
- University of Calgary(CA)
- Baycrest Hospital(CA)
- St. Joseph’s Healthcare Hamilton(CA)
- University of British Columbia(CA)
- Queen's University(CA)
- Centre for Addiction and Mental Health(CA)
- St. Michael's Hospital(CA)
- University Health Network(CA)
- Krembil Research Institute
- Lawson Health Research Institute(CA)
- Douglas Mental Health University Institute(CA)
- Centre for Global Health Research(CA)