Article

Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feeding behavior in rats

2018-01-02

Abstract excerpt

The ventral striatum (VS) is a central node within a distributed network that controls appetitive behavior, and neuromodulation of the VS has demonstrated therapeutic potential for appetitive disorders. Local field potential (LFP) oscillations recorded from deep brain stimulation electrodes within the VS are a pragmatic source of neural systems-level information about appetitive behavior that could be used in resp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: b3469905-2577-5010-aa6d-fae2c55e6b6d
DOI: 10.1101/241919

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Finding the balance between model complexity and performance: Using ventral striatal oscillations to classify feeding behavior in ratsDOI 10.1101/241919Read

Corticostriatal dynamics underlying components of binge-like eating in miceSemantic proximity Read

A Brain Reward Circuit Inhibited By Next-Generation Weight Loss DrugsSemantic proximity Read

Network dynamics of hypothalamic feeding neuronsSemantic proximity Read

Anterior insular cortex firing links initial and sustained encoding during aversion-resistant alcohol consumptionSemantic proximity Read

Disentangling food addiction in anorexia nervosa: a latent class analysis and its clinical relevanceSemantic proximity Read

Rhythmic neuronal activities of the rat nucleus of the solitary tract are impaired by short-term high fat diet - implications for daily control of satiety by the brainstemSemantic proximity Read

Modulation of Feeding and Associated Behaviors by Lateral Hypothalamic Circuits.Semantic proximity Read

Alterations in resting-state functional activity and connectivity for major depressive disorder appetite and weight disturbance phenotypes.Semantic proximity Read

Divergent Behavioral and Circuit-Level Adaptations to Acute and Chronic Gastric Electrical StimulationSemantic proximity Read

Machine Learning-Driven fMRI Analysis for Objective Craving PredictionSemantic proximity Read

Effective deep brain stimulation for obsessive-compulsive disorder and Tourette Syndrome increases network-wide neural variabilitySemantic proximity Read

Deep brain stimulation re-imagined: An ultra-low frequency spike timing dependent plasticity-based approach for treating alcohol use disorderSemantic proximity Read