Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task
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 t...
| Main Authors: | , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Nature Research
2024
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| _version_ | 1811140193584939008 |
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| author | Savage, HS Mulders, PCR van Eijndhoven, PFP van Oort, J Tendolkar, I Vrijsen, JN Beckmann, CF Marquand, AF |
| author_facet | Savage, HS Mulders, PCR van Eijndhoven, PFP van Oort, J Tendolkar, I Vrijsen, JN Beckmann, CF Marquand, AF |
| author_sort | Savage, HS |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-09-25T04:18:06Z |
| format | Journal article |
| id | oxford-uuid:ece68110-36a2-437f-935d-5d360e16aa28 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:18:06Z |
| publishDate | 2024 |
| publisher | Nature Research |
| record_format | dspace |
| spelling | oxford-uuid:ece68110-36a2-437f-935d-5d360e16aa282024-07-21T19:45:32ZDissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching TaskJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ece68110-36a2-437f-935d-5d360e16aa28EnglishJisc Publications RouterNature Research2024Savage, HSMulders, PCRvan Eijndhoven, PFPvan Oort, JTendolkar, IVrijsen, JNBeckmann, CFMarquand, AFFunctional 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. |
| spellingShingle | Savage, HS Mulders, PCR van Eijndhoven, PFP van Oort, J Tendolkar, I Vrijsen, JN Beckmann, CF Marquand, AF Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task |
| title | Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task |
| title_full | Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task |
| title_fullStr | Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task |
| title_full_unstemmed | Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task |
| title_short | Dissecting task-based fMRI activity using normative modelling: an application to the Emotional Face Matching Task |
| title_sort | dissecting task based fmri activity using normative modelling an application to the emotional face matching task |
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