| Literature DB >> 30988481 |
Nitzan Lubianiker1,2, Noam Goldway1,3, Tom Fruchtman-Steinbok1,2, Christian Paret4, Jacob N Keynan1,2, Neomi Singer1,2, Avihay Cohen1,2, Kathrin Cohen Kadosh5,6, David E J Linden7,8, Talma Hendler9,10,11,12.
Abstract
Functional MRI neurofeedback (NF) allows humans to self-modulate neural patterns in specific brain areas. This technique is regarded as a promising tool to translate neuroscientific knowledge into brain-guided psychiatric interventions. However, its clinical implementation is restricted by unstandardized methodological practices, by clinical definitions that are poorly grounded in neurobiology, and by lack of a unifying framework that dictates experimental choices. Here we put forward a new framework, termed 'process-based NF', which endorses a process-oriented characterization of mental dysfunctions to form precise and effective psychiatric treatments. This framework relies on targeting specific dysfunctional mental processes by modifying their underlying neural mechanisms and on applying process-specific contextual feedback interfaces. Finally, process-based NF offers designs and a control condition that address the methodological shortcomings of current approaches, thus paving the way for a precise and personalized neuromodulation.Entities:
Mesh:
Year: 2019 PMID: 30988481 DOI: 10.1038/s41562-019-0573-y
Source DB: PubMed Journal: Nat Hum Behav ISSN: 2397-3374