1: Robust NMDA-R DCM, validated on animal data

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## Overview ### Goal Develop novel formulations of NMDA-R DCM applicable to rsEEG data and validate their robustness on within-subject animal data with pharmacological intervention via ketamine. ### Significance Validated models accounting for NMDA-R changes in response to antagonists like ketamine will facilitate studies of neuromodulation of NMDA-R. ## Deliverables - D1: Organised neuroimaging datasets. - D2: Robust DCM accounting for NMDA-R. - D3: Testing and evaluation of novel DCM on animal data. - D4: Addition of the NMDA-R DCM to existing packages.

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