| Literature DB >> 36009115 |
Vasilios Pallikaras1, Peter Shizgal1.
Abstract
Major depressive disorder is a leading cause of disability and suicide worldwide. Consecutive rounds of conventional interventions are ineffective in a significant sub-group of patients whose disorder is classified as treatment-resistant depression. Significant progress in managing this severe form of depression has been achieved through the use of deep brain stimulation of the medial forebrain bundle (MFB). The beneficial effect of such stimulation appears strong, safe, and enduring. The proposed neural substrate for this promising clinical finding includes midbrain dopamine neurons and a subset of their cortical afferents. Here, we aim to broaden the discussion of the candidate circuitry by exploring potential implications of a new "convergence" model of brain reward circuitry in rodents. We chart the evolution of the new model from its predecessors, which held that midbrain dopamine neurons constituted an obligatory stage of the final common path for reward seeking. In contrast, the new model includes a directly activated, non-dopaminergic pathway whose output ultimately converges with that of the dopaminergic neurons. On the basis of the new model and the relative ineffectiveness of dopamine agonists in the treatment of depression, we ask whether non-dopaminergic circuitry may contribute to the clinical efficacy of deep brain stimulation of the MFB.Entities:
Keywords: brain-stimulation reward; convergence model; medial forebrain bundle; treatment-resistant depression
Year: 2022 PMID: 36009115 PMCID: PMC9406029 DOI: 10.3390/brainsci12081052
Source DB: PubMed Journal: Brain Sci ISSN: 2076-3425
Figure 1Ascending projections of midbrain dopamine neurons (from [59]).
Figure 2The series-circuit model (from [16]).
Figure 3Horizontal-plane depiction of mono-synaptic inputs to VTA and SNc dopamine cell bodies (from [78]).
Figure 4The convergence model simplified. Myelinated, non-dopaminergic axons and midbrain dopamine neurons provide converging inputs to the final-common path for reward evaluation and pursuit. From [16].
Figure 5Inputs to (top) and outputs from (bottom) the rat MFB, from [91].