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University of Cambridge > Talks.cam > Making connections- brains and other complex systems > Investigating the fundamental circuit pathology in schizophrenia using computational modelling of brain imaging data
Investigating the fundamental circuit pathology in schizophrenia using computational modelling of brain imaging dataAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Sarah Morgan. It has long been hypothesized that there is a disruption of the normal balance between excitatory and inhibitory transmission in cortical circuits in schizophrenia. The exact nature of this disruption is unclear, however: is there insufficient excitation? Or insufficient inhibition? Or some combination of both? Furthermore, several M/EEG paradigms show well-replicated abnormalities in schizophrenia, e.g. mismatch negativity, auditory steady-state response to 40 Hz stimulation, and resting EEG spectra. Can these abnormalities all be attributed to a common excitatory or inhibitory pathology? I attempt to answer these questions using a neuroimaging dataset comprising controls (n=107), subjects diagnosed with schizophrenia (n=108) and their relatives (n=57). Each participant underwent resting EEG , mismatch negativity, auditory steady-state response at 40 Hz, and resting state fMRI, and I used dynamic causal modelling across paradigms to infer changes in synaptic gain on excitatory and inhibitory neurons in schizophrenia, and the relationship of these changes to symptoms of the disorder. I will discuss what the findings might mean for the fundamental disease process underlying schizophrenia, glutamatergic treatments, and the possibility of model-based biomarkers of synaptic gain. This talk is part of the Making connections- brains and other complex systems series. This talk is included in these lists:
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