Journal Article

FZJ-2021-01921

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A Connectivity-Based Psychometric Prediction Framework for Brain–Behavior Relationship Studies

Wu, J. (Corresponding author)FZJ* ; Eickhoff, S. B.FZJ* ; Hoffstaedter, F.FZJ* ; Patil, K. R.FZJ* ; Schwender, H. ; Yeo, B. T. T. ; Genon, S.FZJ*

2021
Oxford Univ. Press Oxford

This record in other databases:      

Please use a persistent id in citations: http://hdl.handle.net/2128/28167  doi:10.1093/cercor/bhab044

Abstract: The recent availability of population-based studies with neuroimaging and behavioral measurements opens promising perspectives to investigate the relationships between interindividual variability in brain regions' connectivity and behavioral phenotypes. However, the multivariate nature of connectivity-based prediction model severely limits the insight into brain-behavior patterns for neuroscience. To address this issue, we propose a connectivity-based psychometric prediction framework based on individual regions' connectivity profiles. We first illustrate two main applications: 1) single brain region's predictive power for a range of psychometric variables and 2) single psychometric variable's predictive power variation across brain region. We compare the patterns of brain-behavior provided by these approaches to the brain-behavior relationships from activation approaches. Then, capitalizing on the increased transparency of our approach, we demonstrate how the influence of various data processing and analyses can directly influence the patterns of brain-behavior relationships, as well as the unique insight into brain-behavior relationships offered by this approach.

---

Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 525 - Decoding Brain Organization and Dysfunction (POF4-525) (POF4-525)

Appears in the scientific report 2021

---

Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

---