Closed-loop Modulation of the Self-regulating Brain: A Review on Approaches, Emerging Paradigms, and Experimental Designs. (10th February 2022)
- Record Type:
- Journal Article
- Title:
- Closed-loop Modulation of the Self-regulating Brain: A Review on Approaches, Emerging Paradigms, and Experimental Designs. (10th February 2022)
- Main Title:
- Closed-loop Modulation of the Self-regulating Brain: A Review on Approaches, Emerging Paradigms, and Experimental Designs
- Authors:
- Farkhondeh Tale Navi, Farhad
Heysieattalab, Soomaayeh
Ramanathan, Dhakshin S.
Raoufy, Mohammad Reza
Nazari, Mohammad Ali - Abstract:
- Highlights: Closed-loop systems have been used for investigating the brain–behavior relationship. Closed-loop neuromodulation is a novel approach in the brain stimulation paradigms. Closed-loop experimental designs are drawing attention in the field of neurofeedback. Abstract: Closed-loop approaches, setups, and experimental designs have been applied within the field of neuroscience to enhance the understanding of basic neurophysiology principles (closed-loop neuroscience; CLNS) and to develop improved procedures for modulating brain circuits and networks for clinical purposes (closed-loop neuromodulation; CLNM). The contents of this review are thus arranged into the following sections. First, we describe basic research findings that have been made using CLNS. Next, we provide an overview of the application, rationale, and therapeutic aspects of CLNM for clinical purposes. Finally, we summarize methodological concerns and critics in clinical practice of neurofeedback and novel applications of closed-loop perspective and techniques to improve and optimize its experiments. Moreover, we outline the theoretical explanations and experimental ideas to test animal models of neurofeedback and discuss technical issues and challenges associated with implementing closed-loop systems. We hope this review is helpful for both basic neuroscientists and clinical/ translationally-oriented scientists interested in applying closed-loop methods to improve mental health and well-being.
- Is Part Of:
- Neuroscience. Volume 483(2022)
- Journal:
- Neuroscience
- Issue:
- Volume 483(2022)
- Issue Display:
- Volume 483, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 483
- Issue:
- 2022
- Issue Sort Value:
- 2022-0483-2022-0000
- Page Start:
- 104
- Page End:
- 126
- Publication Date:
- 2022-02-10
- Subjects:
- BCI Brain–computer interface -- BMI Brain–machine interface -- BOLD Blood oxygenated level-dependent signal -- CLDBS Closed-loop deep brain stimulation -- CLNM Closed-loop neuromodulation -- CLNS Closed-loop neuroscience -- CREB Cyclic-AMP response element binding -- DOC Disorders of consciousness -- LRTC Long-range temporal correlation -- MEP Motor evoked potential -- MFB Medial forebrain bundle -- NIBS Non-invasive brain stimulation -- NMDA N-methyl-d-aspartate -- PTSD Post-traumatic stress disorder -- SO Slow-oscillations -- SWR Sharp-wave ripples -- tACS Transcranial alternating current stimulation -- tDCS Transcranial direct current stimulation -- tES Transcranial electrical stimulation -- TMS Transcranial magnetic stimulation -- VTA ventral tegmental area
closed-loop system -- neuromodulation -- neurofeedback, neural instrumental conditioning -- brain self-regulation
Neurochemistry -- Periodicals
Neurophysiology -- Periodicals
Neurology -- Periodicals
Neurochimie -- Périodiques
Neurophysiologie -- Périodiques
Neurochemistry
Neurophysiology
Electronic journals
Periodicals
Electronic journals
612.8 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03064522 ↗
http://www.clinicalkey.com/dura/browse/journalIssue/03064522 ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/03064522 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.neuroscience.2021.12.004 ↗
- Languages:
- English
- ISSNs:
- 0306-4522
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.559000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20667.xml