PLoS Computational BiologyNeurosciencePeer-reviewed journal article
Modelling thalamocortical circuitry shows visually induced LTP changes laminar connectivity in human visual cortex
Abstract
Neuroplasticity is essential to learning and memory in the brain; it has therefore also been implicated in numerous neurological and psychiatric disorders, making measuring the state of neuroplasticity of foremost importance to clinical neuroscience. Long-term potentiation (LTP) is a key mechanism of neuroplasticity and has been studied extensively, and invasively in non-human animals. Translation to human application largely relies on the validation of non-invasive measures of LTP. The current study provides validation for the use of a thalamocortical computational model of visual cortex for investigating and replicating interlaminar connectivity changes using non-invasive EEG recording of humans, and a commonly used visual sensory LTP paradigm. The model demonstrated remarkable accuracy recapitulating post-tetanus changes including increased excitatory connectivity from thalamus to layer IV and from layer IV to II/III. The findings also further validate visual sensory induced LTP and evoked potential modulation for measuring of the state of LTP in cortex.
- organism: human
- assay: electronic health records
- research focus: cell-cell communication
- research focus: differential expression
- research focus: trajectory inference
- approach: statistical model
- Citations
- 13
- FWCI
- 0.92
- Field percentile
- top 32%
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