Simulating laminar neuroimaging data for a visual delayed match-to-sample task

NeuroImage
Paul T CorbittBarry Horwitz

Abstract

Invasive electrophysiological and neuroanatomical studies in nonhuman mammalian experimental preparations have helped elucidate the lamina (layer) dependence of neural computations and interregional connections. Noninvasive functional neuroimaging can, in principle, resolve cortical laminae (layers), and thus provide insight into human neural computations and interregional connections. However human neuroimaging data are noisy and difficult to interpret; biologically realistic simulations can aid experimental interpretation by relating the neuroimaging data to simulated neural activity. We illustrate the potential of laminar neuroimaging by upgrading an existing large-scale, multiregion neural model that simulates a visual delayed match-to-sample (DMS) task. The new laminar-based neural unit incorporates spiny stellate, pyramidal, and inhibitory neural populations which are divided among supragranular, granular, and infragranular laminae (layers). We simulated neural activity which is translated into local field potential-like data used to simulate conventional and laminar fMRI activity. We implemented the laminar connectivity schemes proposed by Felleman and Van Essen (Cerebral Cortex, 1991) for interregional connections. The ...Continue Reading

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Citations

Sep 26, 2019·Nature Neuroscience·Emily S FinnPeter A Bandettini
Feb 8, 2021·Journal of Neuroscience Methods·Irati MarkuerkiagaDavid G Norris
May 16, 2021·NeuroImage·Laurentius Renzo HuberOmer Faruk Gulban

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