Description: Generalizability of connectome-based predictive models

This title appears in the Scientific Report : 2022

Generalizability of connectome-based predictive models

The development of connectome-based predictive models of behavioral phenotype has more recently opened new perspectives for understanding brain-behavior relationships in basic neuroscience, but also for precision medicine. However, the insight provided by the machine learning models and the further...

Personal Name(s):	GENON, Sarah (Corresponding author)
Contributing Institute:	Gehirn & Verhalten; INM-7
Imprint:	2022
Conference:	20th Brain Connectivity Workshop, Düsseldorf (online event), 2022-06-14 - 2022-06-14
Document Type:	Conference Presentation
Research Program:	Multilevel Brain Organization and Variability
Link:	Get full text OpenAccess
	Publikationsportal JuSER

Please use the identifier: http://hdl.handle.net/2128/32728 in citations.

The development of connectome-based predictive models of behavioral phenotype has more recently opened new perspectives for understanding brain-behavior relationships in basic neuroscience, but also for precision medicine. However, the insight provided by the machine learning models and the further deployment of these approaches are conditioned by their generalizability. In our recent work, we tackled this crucial question across several popular datasets in the field.