Network based fMRI neuro-feedback for emotion regulation; proof-of-concept

Yael Jacob, Ayelet Or-Borichev, Gilan Jackont, Nitzan Lubianiker, Talma Hendler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Neuro-Feedback (NF) is a particular form of bio-feedback, which feeds back brain activity to the individual in real-time, to allow for training of controlled regulation of the brain in order to improve performance. Functional magnetic resonance imaging (fMRI) spatial localization allows for a high-quality real-time targeting of sub-cortical brain regions. Yet, until now, real-time-fMRI-NF treatments were limited to training brain activity localized within a region of interest. Conversely, since most mental functions are associated with functional integration of networks, limiting the treatment to one region may be a serious hurdle for an effective treatment. Thus, broader network perspective features can be of great value. In this study we developed a novel network-based rt-fMRI-NF procedure that obtains feedback derived from networks’ influence features as constructed by a graph theory method entitled the dependency network analysis (DEP NA), thus training the subject to control an explicit brain region’s influence on the network. In a proof-of-concept pilot study conducted on ten healthy subjects we demonstrated the feasibility of such a network based probe to be volitionally up-regulated. We further propose that this approach will ultimately provide a clinical therapeutic tool for an individually-tailored intervention protocol aimed at improving different mental processes and cognitive abilities.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VI - Proceedings of Complex Networks 2017 (The 6th International Conference on Complex Networks and Their Applications)
EditorsHocine Cherifi, Chantal Cherifi, Mirco Musolesi, Márton Karsai
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783319721491
StatePublished - 2018
Externally publishedYes
Event6th International Conference on Complex Networks and Their Applications, Complex Networks 2017 - Lyon, France
Duration: 29 Nov 20171 Dec 2017

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


Conference6th International Conference on Complex Networks and Their Applications, Complex Networks 2017


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