Journal Article

FZJ-2023-03484

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The challenges and prospects of brain-based prediction of behaviour

Wu, J. (Corresponding author)FZJ* ; Li, J.FZJ* ; Eickhoff, S. B.FZJ* ; Scheinost, D. ; Genon, S.FZJ*

2023
Nature Research London

This record in other databases:      

Please use a persistent id in citations: doi:10.1038/s41562-023-01670-1  doi:10.34734/FZJ-2023-03484

Abstract: Relating individual brain patterns to behaviour is fundamental in systemneuroscience. Recently, the predictive modelling approach has becomeincreasingly popular, largely due to the recent availability of large opendatasets and access to computational resources. This means that we can usemachine learning models and interindividual differences at the brain levelrepresented by neuroimaging features to predict interindividual differencesin behavioural measures. By doing so, we could identify biomarkers andneural correlates in a data-driven fashion. Nevertheless, this budding fieldof neuroimaging-based predictive modelling is facing issues that may limitits potential applications. Here we review these existing challenges, as wellas those that we anticipate as the field develops. We focus on the impactsof these challenges on brain-based predictions. We suggest potentialsolutions to address the resolvable challenges, while keeping in mind thatsome general and conceptual limitations may also underlie the predictivemodelling approach.

Note: This work was supported by the Deutsche Forschungsgemeinschaft (GE 2835/2–1, EI 816/ 4–1), the Helmholtz Portfolio Theme ‘Supercomputing and Modelling for the Human Brain’ and the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no. 720270 (HBP SGA1) and grant agreement no. 785907 (HBP SGA2).

---

Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)

Appears in the scientific report 2023

---

Database coverage:
; ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Current Contents - Social and Behavioral Sciences ; DEAL Nature ; Essential Science Indicators ; IF >= 25 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Social Sciences Citation Index ; Web of Science Core Collection

---