UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task

Savage, Hannah S; Mulders, Peter CR; Van Eijndhoven, Philip FP; Van Oort, Jasper; Tendolkar, Indira; Vrijsen, Janna N; Beckmann, Christian F; (2024) Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task. Communications Biology , 7 , Article 888. 10.1038/s42003-024-06573-z. Green open access

[thumbnail of Dissecting task-based fMRI activity using normative modelling an application to the Emotional Face Matching Task.pdf]
Preview
Text
Dissecting task-based fMRI activity using normative modelling an application to the Emotional Face Matching Task.pdf - Accepted Version

Download (5MB) | Preview

Abstract

Functional neuroimaging has contributed substantially to understanding brain function but is dominated by group analyses that index only a fraction of the variation in these data. It is increasingly clear that parsing the underlying heterogeneity is crucial to understand individual differences and the impact of different task manipulations. We estimate large-scale (N = 7728) normative models of task-evoked activation during the Emotional Face Matching Task, which enables us to bind heterogeneous datasets to a common reference and dissect heterogeneity underlying group-level analyses. We apply this model to a heterogenous patient cohort, to map individual differences between patients with one or more mental health diagnoses relative to the reference cohort and determine multivariate associations with transdiagnostic symptom domains. For the face>shapes contrast, patients have a higher frequency of extreme deviations which are spatially heterogeneous. In contrast, normative models for faces>baseline have greater predictive value for individuals’ transdiagnostic functioning. Taken together, we demonstrate that normative modelling of fMRI task-activation can be used to illustrate the influence of different task choices and map replicable individual differences, and we encourage its application to other neuroimaging tasks in future studies.

Type: Article
Title: Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s42003-024-06573-z
Publisher version: http://dx.doi.org/10.1038/s42003-024-06573-z
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Institute of Cognitive Neuroscience
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10200683
Downloads since deposit
20Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item