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Restoring large-scale brain networks in PTSD and related disorders: a proposal for neuroscientifically-informed treatment interventions
- Source :
- European Journal of Psychotraumatology, Vol 6, Iss 0, Pp 1-12 (2015)
- Publication Year :
- 2015
- Publisher :
- Taylor & Francis Group, 2015.
-
Abstract
- Background: Three intrinsic connectivity networks in the brain, namely the central executive, salience, and default mode networks, have been identified as crucial to the understanding of higher cognitive functioning, and the functioning of these networks has been suggested to be impaired in psychopathology, including posttraumatic stress disorder (PTSD). Objective: 1) To describe three main large-scale networks of the human brain; 2) to discuss the functioning of these neural networks in PTSD and related symptoms; and 3) to offer hypotheses for neuroscientifically-informed interventions based on treating the abnormalities observed in these neural networks in PTSD and related disorders. Method: Literature relevant to this commentary was reviewed. Results: Increasing evidence for altered functioning of the central executive, salience, and default mode networks in PTSD has been demonstrated. We suggest that each network is associated with specific clinical symptoms observed in PTSD, including cognitive dysfunction (central executive network), increased and decreased arousal/interoception (salience network), and an altered sense of self (default mode network). Specific testable neuroscientifically-informed treatments aimed to restore each of these neural networks and related clinical dysfunction are proposed. Conclusions: Neuroscientifically-informed treatment interventions will be essential to future research agendas aimed at targeting specific PTSD and related symptoms.
Details
- Language :
- English
- ISSN :
- 20008066
- Volume :
- 6
- Issue :
- 0
- Database :
- Directory of Open Access Journals
- Journal :
- European Journal of Psychotraumatology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0a9865ceacbf4b97aba4a49ac1972641
- Document Type :
- article
- Full Text :
- https://doi.org/10.3402/ejpt.v6.27313