Neurofeedback 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

Neurofeedback 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).

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'.

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).

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.

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.

Assessed via the performance in probabilistic selection task (PST), which will be administered before and after the entire training period. This is a task of probabilistic reward learning, in which participants' ability to learn to choose a frequently rewarded symbol (e.g., symbol A which is rewarded 80% of the times) or to avoid a rarely rewarded symbol (B, 20% of the times) is examined [4].

The outcome will be measured for each group, as the change (post > pre) in the accuracy of learning from reward (select A) or from punishments (avoid B).

The investigators predict a positive change in learning from rewards following successful training among the neurofeedback group, relative to sham controls.

Measured via fMRI; application of pleasurable music listening and Monetary Incentive Delay task during fMRI scanning before and after the entire training period.

ROI analysis of the VS will be defined based on the target region used for developing the VS-EFP. Additional mesolimbic nodes 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 reward vs control condition during the reward-related task.

The investigators predict a positive change in VS response to reward following successful training among the neurofeedback group, relative to controls.

Exploratory analysis: The investigators will explore the profile of change in VS activation with respect to the different stages of reward processing (i.e., reward anticipation, consumption).

The investigators will further explore whether NF training resulted in a positive change in reward-related activation in additional mesolimbic nodes