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  1. jajcayn.github.io

    The NMDA-R DCM will first be developed and validated on animal data with a high signal-to-noise ratio. The ground-truth dataset comes from a repeated measures study, with one of the measurements involving a pharmacological intervention using an NMDA-R blocker. Next, the model will be translated to human rsEEG data with the same within-subject ...
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  3. ww6.aievolution.com

    We have started a methodological sensitivity, parameter recovery, and robustness analysis of the conductance-based DCM. In the next step, we plan to examine parameter interactions more closely via n-order Sobol indices, although our preliminary results suggest that most parameters are orthogonal and second-order Sobol indices are generally relatively low.
  4. ncbi.nlm.nih.gov

    To do this, we used dynamic causal modelling to analyse seizure activity in a patient with anti-NMDA-receptor encephalitis and attempt to replicate the findings in an identical analysis of a second patient. Dynamic causal modelling (DCM) is a method for making inferences about the neuronal architectures that underlie measured time series, such ...
  5. pmc.ncbi.nlm.nih.gov

    A recent dynamic causal modelling study of NMDAR antibody encephalitis patient EEGs also showed that the deficit in signalling at NMDARs in patients with NMDAR antibody encephalitis was predominantly located at the NMDA receptors of excitatory neurons rather than at inhibitory interneurons 54, as shown here in our model. By combining detailed ...
  6. in a rodent model of NMDAR-Ab encephalitis and human patient EEG recordings at the level of CMC parameters. We report the results of a DCM analysis of ( i) changes in spontaneous activity in a mouse model of NMDAR-Ab encephalitis and ( ii) abnormal EEG paroxysms observed in a series of pediatric patients. We first model
  7. link.springer.com

    Here we illustrate the use of neural mass model based dynamic causal modelling to address this inverse problem. Using Bayesian model inversion and model comparison, DCM allows evaluation of different hypotheses regarding pathomechanisms leading to dynamic brain dysfunction in NMDA receptor encephalitis. ... coding for a subunit of the N-methyl ...
  8. pmc.ncbi.nlm.nih.gov

    The N-methyl-D-aspartate receptor (NMDAR), a ligand-gated ion channel activated by L-glutamate and glycine, plays a major role in the synaptic plasticity underlying learning and memory. NMDARs are involved in neurodegenerative disorders such as Alzheimer's and Parkinson's disease and NMDAR hypofunction is implicated in schizophrenia.
  9. sciencedirect.com

    The temporal characteristics of all receptors in our model, either fast (e.g. AMPA, GABA A) or slow (NMDA), are incorporated in the equations of motion describing conductance (Table 1).These conductances g, which are dynamic states that depend on the presynaptic input ς, the number of open channels and the channel time-constants (1/κ), set to 4, 16 and 100 ms for AMPA, GABA A and NMDA ...
  10. sciencedirect.com

    The NMDAR has been one of the most studied molecules in the brain, with a large body of literature strongly supporting its role in learning and encoding of spatial, associative, and episodic-like memory. 86, 87, 88 These landmark studies are based on the assumption that blocking or deleting NMDAR impairs learning and memory due to the ...

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