Dopamine Transporter Is a Master Regulator of Dopaminergic Neural Network Connectivity.
Douglas R MillerDylan T GuentherAndrew P MaurerCarissa A HansenAndrew ZaleskyHabibeh KhoshboueiPublished in: The Journal of neuroscience : the official journal of the Society for Neuroscience (2021)
Dopaminergic neurons of the substantia nigra pars compacta (SNC) and ventral tegmental area (VTA) exhibit spontaneous firing activity. The dopaminergic neurons in these regions have been shown to exhibit differential sensitivity to neuronal loss and psychostimulants targeting dopamine transporter. However, it remains unclear whether these regional differences scale beyond individual neuronal activity to regional neuronal networks. Here, we used live-cell calcium imaging to show that network connectivity greatly differs between SNC and VTA regions with higher incidence of hub-like neurons in the VTA. Specifically, the frequency of hub-like neurons was significantly lower in SNC than in the adjacent VTA, consistent with the interpretation of a lower network resilience to SNC neuronal loss. We tested this hypothesis, in DAT-cre/loxP-GCaMP6f mice of either sex, when activity of an individual dopaminergic neuron is suppressed, through whole-cell patch clamp electrophysiology, in either SNC or VTA networks. Neuronal loss in the SNC increased network clustering, whereas the larger number of hub-neurons in the VTA overcompensated by decreasing network clustering in the VTA. We further show that network properties are regulatable via a dopamine transporter but not a D2 receptor dependent mechanism. Our results demonstrate novel regulatory mechanisms of functional network topology in dopaminergic brain regions.SIGNIFICANCE STATEMENT In this work, we begin to untangle the differences in complex network properties between the substantia nigra pars compacta (SNC) and VTA, that may underlie differential sensitivity between regions. The methods and analysis employed provide a springboard for investigations of network topology in multiple deep brain structures and disorders.
Keyphrases
- spinal cord
- cerebral ischemia
- resting state
- white matter
- network analysis
- high resolution
- neural network
- single cell
- uric acid
- mass spectrometry
- functional connectivity
- stem cells
- adipose tissue
- depressive symptoms
- climate change
- multiple sclerosis
- metabolic syndrome
- bone marrow
- spinal cord injury
- high fat diet induced
- rna seq
- bioinformatics analysis