Reward Circuit Modulation Via fMRI-informed-EEG-based Musical Neurofeedback
2 other identifiers
interventional
40
1 country
1
Brief Summary
The goal of this study is to test whether voluntary up-regulation of mesolimbic reward system activation is possible, and to examine the neurobehavioral effects of specific neuromodulation of this circuit on reward processing. This goal will be achieved by testing the effects of a novel non-invasive experimental framework for neuromodulation that relies on neurofeedback (NF), which is guided by neuronal activation in the ventral striatum (VS) and interfaced with personalized pleasurable music as feedback. We Hypothesize that it is possible to learn to volitionally regulate the VS using this musical NF approach. We further predict that successful NF training for up-regulating the VS-EFP signal will result in marked changes in neural and behavioral outcomes associated with upregulation of dopaminergic signaling.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable healthy
Started Jul 2020
Typical duration for not_applicable healthy
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 10, 2020
CompletedFirst Submitted
Initial submission to the registry
May 2, 2021
CompletedFirst Posted
Study publicly available on registry
May 6, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 10, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
September 10, 2021
CompletedMay 6, 2021
May 1, 2021
1.2 years
May 2, 2021
May 2, 2021
Conditions
Outcome Measures
Primary Outcomes (3)
VS-EFP regulation success
Measured by change in VS-EFP power; based on the difference between EFP during 'regulate' and 'local baseline' conditions during the neurofeedback cycles. The investigators predict a greater modulation of VS-EFP power among the neurofeedback group relative to sham controls (test \> sham).
0 to 4 weeks
Transfer of VS-EFP regulation: VS-EFP volitional regulation success under a different context
Measured by change in VS-EFP power; based on the difference between regulate and local baseline conditions during the transfer condition; volitional regulation when no music or feedback is provided. The transfer condition is introduced at the beginning of each training session. The investigators predict a positive change in VS-EFP regulation following successful training among the neurofeedback group, relative to sham controls.
1 to 5 weeks
Mesolimbic self-regulation under a different context
Measured via fMRI; a transfer task (volitional regulation when no feedback is applied) during an fMRI scan, which will take place before and after the entire training period. Region of interest (ROI) analysis of the ventral striatum (VS) will be defined based on the target region used for developing the VS-EFP. Additional regions of the mesolimbic network will be defined based on a meta-analysis of reward. The outcome will be measured for each group, as the change (post \> pre) in the contrast between 'regulate' and 'local-baseline' condition. The investigators predict a positive change in VS upregulation following successful training among the neurofeedback group, relative to sham controls. Exploratory analysis: the investigators intend to further explore whether NF training resulted in a positive change in the upregulation of additional mesolimbic nodes.
1 to 5 weeks
Secondary Outcomes (3)
Reward-learning behavior
1 to 5 weeks
Incentive motivation behavior
1 to 5 weeks
Hedonic trait: link between hedonic traits and neurofeedback success
1 to 5 weeks
Other Outcomes (1)
Reward processing (neural): mesolimbic reactivity to rewards (i.e., monetary, musical pleasure)
1 to 5 weeks
Study Arms (2)
VS-EFP Neurofeedback
ACTIVE COMPARATORNeurofeedback is based on the learned change in a particular neural signal or a combination of neural signals when feedback and reward of these signals are repeatedly presented to the organism. Thus, individuals learn to modulate their neural activity through a closed NF loop; in this condition, participants will receive musical feedback driven by their own VS-EFP
Yoked sham Neurofeedback
SHAM COMPARATORNeurofeedback is based on the learned change in a particular neural signal or a combination of neural signals when feedback and reward of these signals are repeatedly presented to the organism. Thus, individuals learn to modulate their neural activity through a closed NF loop; in this condition, the musical feedback will be provided based on another participant's VS-EFP signal. Hence, each participant from the sham group is paired with a participant from the test group, thus receiving feedback based on the paired test participant. This way, both groups are exposed to the exact proportion of sound manipulation that indicates their success level. To account for a possible contribution of the temporal order of feedback presentation, in half of the control participants, the feedback pattern will be "replayed" forward (maintaining the original temporal pattern of VS-EFP that the paired participant has received), and in half - backward (flipping the original temporal pattern right-to-left).
Interventions
Neurofeedback training with EEG, in which participants are presented with self-selected music and requested to make the presented music sound better by applying mental strategies. Six repeated training sessions, each composed of five training cycles. Each cycle is composed of 120 sec of 'local baseline' block and 90 sec of 'regulation' block while listening to self-selected music. Participants are instructed to passively listen to their self-selected music during the 'local baseline' block, and to 'make the music sound better' during the 'regulation' block. Participants are instructed to recruit chosen mental strategies, which they find to be most efficient towards this regulatory task. During 'regulation', the quality of the sound varies in real-time (every 3 sec) in proportion to the difference between the current value of VS-EFP and its average value during 'local baseline'.
Eligibility Criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Tel-Aviv Sourasky Medical Centerlead
- Tel Aviv Universitycollaborator
- McGill Universitycollaborator
Study Sites (1)
Sagol Brain Institute, Tel Aviv Sourasky Medical Center
Tel Aviv, Israel
Related Publications (7)
Meir-Hasson Y, Kinreich S, Podlipsky I, Hendler T, Intrator N. An EEG Finger-Print of fMRI deep regional activation. Neuroimage. 2014 Nov 15;102 Pt 1:128-41. doi: 10.1016/j.neuroimage.2013.11.004. Epub 2013 Nov 15.
PMID: 24246494BACKGROUNDSalimpoor VN, Benovoy M, Larcher K, Dagher A, Zatorre RJ. Anatomically distinct dopamine release during anticipation and experience of peak emotion to music. Nat Neurosci. 2011 Feb;14(2):257-62. doi: 10.1038/nn.2726. Epub 2011 Jan 9.
PMID: 21217764BACKGROUNDMas-Herrero E, Maini L, Sescousse G, Zatorre RJ. Common and distinct neural correlates of music and food-induced pleasure: A coordinate-based meta-analysis of neuroimaging studies. Neurosci Biobehav Rev. 2021 Apr;123:61-71. doi: 10.1016/j.neubiorev.2020.12.008. Epub 2021 Jan 10.
PMID: 33440196BACKGROUNDFrank MJ, Seeberger LC, O'reilly RC. By carrot or by stick: cognitive reinforcement learning in parkinsonism. Science. 2004 Dec 10;306(5703):1940-3. doi: 10.1126/science.1102941. Epub 2004 Nov 4.
PMID: 15528409BACKGROUNDTreadway MT, Buckholtz JW, Schwartzman AN, Lambert WE, Zald DH. Worth the 'EEfRT'? The effort expenditure for rewards task as an objective measure of motivation and anhedonia. PLoS One. 2009 Aug 12;4(8):e6598. doi: 10.1371/journal.pone.0006598.
PMID: 19672310BACKGROUNDSnaith RP, Hamilton M, Morley S, Humayan A, Hargreaves D, Trigwell P. A scale for the assessment of hedonic tone the Snaith-Hamilton Pleasure Scale. Br J Psychiatry. 1995 Jul;167(1):99-103. doi: 10.1192/bjp.167.1.99.
PMID: 7551619BACKGROUNDMas-Herrero E, Marco-Pallares J, Lorenzo-Seva U, Zatorre RJ, & Rodriguez-Fornells A 2012. Individual differences in music reward experiences. Music Perception, 31(2), 118-138.
BACKGROUND
Central Study Contacts
Neomi Singer, PhD
CONTACT
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- TRIPLE
- Who Masked
- PARTICIPANT, INVESTIGATOR, OUTCOMES ASSESSOR
- Purpose
- BASIC SCIENCE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 2, 2021
First Posted
May 6, 2021
Study Start
July 10, 2020
Primary Completion
September 10, 2021
Study Completion
September 10, 2021
Last Updated
May 6, 2021
Record last verified: 2021-05