Keyword search (4,163 papers available)

"inference" Keyword-tagged Publications:

Title Authors PubMed ID
1 Exploiting fluctuations in gene expression to detect causal interactions between genes Joly-Smith E; Talpur MM; Allard P; Papazotos F; Potvin-Trottier L; Hilfinger A; 41401079
BIOLOGY
2 Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings Guo J; Fan W; Amayri M; Bouguila N; 39662201
ENCS
3 A Survey on Error Exponents in Distributed Hypothesis Testing: Connections with Information Theory, Interpretations, and Applications Espinosa S; Silva JF; Céspedes S; 39056958
ENCS
4 Development and performance assessment of a new opensource Bayesian inference R platform for building energy model calibration Hou D; Zhan D; Wang L; Hassan IG; Sezer N; 37936825
ENCS
5 The Convergence Model of Brain Reward Circuitry: Implications for Relief of Treatment-Resistant Depression by Deep-Brain Stimulation of the Medial Forebrain Bundle Pallikaras V; Shizgal P; 35431828
PSYCHOLOGY
6 Anterior cingulate neurons signal neutral cue pairings during sensory preconditioning Hart EE; Gardner MPH; Schoenbaum G; 34936884
PSYCHOLOGY
7 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
8 Exploring the decentralized treatment of sulfamethoxazole-contained poultry wastewater through vertical-flow multi-soil-layering systems in rural communities. Song P, Huang G, An C, Xin X, Zhang P, Chen X, Ren S, Xu Z, Yang X 33065414
ENCS
9 BENIN: Biologically enhanced network inference. Wonkap SK, Butler G 32698722
ENCS
10 Adaptive Neuro-fuzzy Inference System Trained for Sizing Semi-elliptical Notches Scanned by Eddy Currents. Mohseni E, Viens M, Xie WF 31929668
ENCS

 

Title:The Convergence Model of Brain Reward Circuitry: Implications for Relief of Treatment-Resistant Depression by Deep-Brain Stimulation of the Medial Forebrain Bundle
Authors:Pallikaras VShizgal P
Link:https://pubmed.ncbi.nlm.nih.gov/35431828/
DOI:10.3389/fnbeh.2022.851067
Publication:Frontiers in behavioral neuroscience
Keywords:affective neurosciencedopamineintracranial self-stimulationpsychomotor stimulantspsychophysical inference
PMID:35431828 Category: Date Added:2022-04-18
Dept Affiliation: PSYCHOLOGY
1 Center for Studies in Behavioral Neurobiology, Department of Psychology, Concordia University, Montreal, QC, Canada.

Description:

Deep-brain stimulation of the medial forebrain bundle (MFB) can provide effective, enduring relief of treatment-resistant depression. Panksepp provided an explanatory framework: the MFB constitutes the core of the neural circuitry subserving the anticipation and pursuit of rewards: the "SEEKING" system. On that view, the SEEKING system is hypoactive in depressed individuals; background electrical stimulation of the MFB alleviates symptoms by normalizing activity. Panksepp attributed intracranial self-stimulation to excitation of the SEEKING system in which the ascending projections of midbrain dopamine neurons are an essential component. In parallel with Panksepp's qualitative work, intracranial self-stimulation has long been studied quantitatively by psychophysical means. That work argues that the predominant directly stimulated substrate for MFB self-stimulation are myelinated, non-dopaminergic fibers, more readily excited by brief electrical current pulses than the thin, unmyelinated axons of the midbrain dopamine neurons. The series-circuit hypothesis reconciles this view with the evidence implicating dopamine in MFB self-stimulation as follows: direct activation of myelinated MFB fibers is rewarding due to their trans-synaptic activation of midbrain dopamine neurons. A recent study in which rats worked for optogenetic stimulation of midbrain dopamine neurons challenges the series-circuit hypothesis and provides a new model of intracranial self-stimulation in which the myelinated non-dopaminergic neurons and the midbrain dopamine projections access the behavioral final common path for reward seeking via separate, converging routes. We explore the potential implications of this convergence model for the interpretation of the antidepressant effect of MFB stimulation. We also discuss the consistent finding that psychomotor stimulants, which boost dopaminergic neurotransmission, fail to provide a monotherapy for depression. We propose that non-dopaminergic MFB components may contribute to the therapeutic effect in parallel to, in synergy with, or even instead of, a dopaminergic component.





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