| Literature DB >> 34482949 |
Juan Carlos Baldermann1, Thomas Schüller2, Sina Kohl2, Valerie Voon3, Ningfei Li4, Barbara Hollunder5, Martijn Figee6, Suzanne N Haber7, Sameer A Sheth8, Philip E Mosley9, Daniel Huys2, Kara A Johnson10, Christopher Butson11, Linda Ackermans12, Tim Bouwens van der Vlis12, Albert F G Leentjens12, Michael Barbe13, Veerle Visser-Vandewalle14, Jens Kuhn15, Andreas Horn4.
Abstract
Obsessive-compulsive disorder is among the most disabling psychiatric disorders. Although deep brain stimulation is considered an effective treatment, its use in clinical practice is not fully established. This is, at least in part, due to ambiguity about the best suited target and insufficient knowledge about underlying mechanisms. Recent advances suggest that changes in broader brain networks are responsible for improvement of obsessions and compulsions, rather than local impact at the stimulation site. These findings were fueled by innovative methodological approaches using brain connectivity analyses in combination with neuromodulatory interventions. Such a connectomic approach for neuromodulation constitutes an integrative account that aims to characterize optimal target networks. In this critical review, we integrate findings from connectomic studies and deep brain stimulation interventions to characterize a neural network presumably effective in reducing obsessions and compulsions. To this end, we scrutinize methodologies and seemingly conflicting findings with the aim to merge observations to identify common and diverse pathways for treating obsessive-compulsive disorder. Ultimately, we propose a unified network that-when modulated by means of cortical or subcortical interventions-alleviates obsessive-compulsive symptoms.Entities:
Keywords: Connectivity; Connectomics; Deep brain stimulation; Neuromodulation; Obsessive-compulsive disorder; Tractography
Mesh:
Year: 2021 PMID: 34482949 DOI: 10.1016/j.biopsych.2021.07.010
Source DB: PubMed Journal: Biol Psychiatry ISSN: 0006-3223 Impact factor: 13.382