Topic: dopamine dynamics

The advent of dLight, a class of genetically encoded dopamine sensor, has significantlyadvanced our ability to monitor real-time dopamine dynamics in living animals. The success ofdLight1.3b with its superior dynamic ranges has prompted the development of subsequentiterations of this sensor to broaden the applicability of in vivo dopamine monitoring, particularlyin brain regions characterized by sparse dopaminergic signaling. In this study, we present asystematic and extensive in vivo characterization of novel dLight variants (dLight3.6 &dLight3.8) in comparison to the dLight1.3b parents s

Schizophrenia presents as a complex psychiatric disorder characterized by a heterogeneous genetic and neurobiological background. Unfortunately, the prevailing mechanistic remains incompletely elucidated. A dopaminergic basis for schizophrenia has been proposed, implicating an upregulation in dopaminergic neurotransmission. This notion is supported by observations of behavioral hypersensitivity to dopamine receptor-activating drugs in individuals with schizophrenia, as well as postmortem analyses revealing elevated density of dopamine D2 receptors (D2R) in the striatum of schizophrenia patient

Chronic pain is a major concern in public health. Opioids are effective analgesics, but they may lead to severe adverse effects, including dependence. Non-pharmacological interventions, such as music listening, can be used as adjuvants to analgesics. However, the underlying mechanisms are insufficiently understood. Here, we aimed at assessing whether music exposure can modulate opioid adverse effects by influencing dopamine dynamics in the brain. First, mice underwent surgery to inject a dopamine biosensor (Dlight 1.3b) and to implant a fiberoptic in the nucleus accumbens (NAcc). After allowin

The Virtual Brain (TVB) is a computational framework with specialized data processing workflows that aims to simulate and model the dynamics of the human brain. Personalized brain network modelling in epilepsy has demonstrated its predictive power [1] and is being systematically evaluated in the prospective large-scale clinical trial EPINOV for epilepsy surgery. Here we aim to adopt and translate the approach for studying Parkinson's disease. In this context, we aim to create a model within the simulated environment of The Virtual Brain (TVB) that reflects how neuromodulators influence the ele