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

Hannah S Savage1,2, Peter C R Mulders3,4, Philip F P van Eijndhoven3,4

  • 1Donders Institute of Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands. hannah.savage@donders.ru.nl.

Communications Biology
|July 20, 2024
PubMed
Summary

Normative modeling of functional neuroimaging (fMRI) reveals individual brain differences in patients with mental health conditions. This approach enhances understanding of task-evoked activation and individual variations in brain function.

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Functional neuroimaging (fMRI) group analyses explain limited brain function variation.
  • Understanding individual differences and task effects requires analyzing data heterogeneity.

Purpose of the Study:

  • To develop large-scale normative models for task-evoked fMRI activation.
  • To map individual differences in a patient cohort relative to a normative reference.
  • To associate these differences with transdiagnostic psychiatric symptoms.

Main Methods:

  • Estimated normative models using a large dataset (N=7728) for the Emotional Face Matching Task.
  • Applied the normative model to a heterogeneous patient cohort with mental health diagnoses.
  • Analyzed associations between individual deviations and transdiagnostic symptom domains.

Main Results:

  • Patients showed more extreme deviations in the face>shapes contrast, with spatial heterogeneity.
  • Normative models for the faces>baseline contrast better predicted individual transdiagnostic functioning.
  • Demonstrated replicable individual differences using normative modeling of fMRI task-activation.

Conclusions:

  • Normative modeling of fMRI task-activation can reveal individual differences and the impact of task selection.
  • This approach offers a valuable tool for studying heterogeneous patient populations in neuroscience.
  • Encourages wider application of normative modeling across various neuroimaging tasks.