It’s possible to train brain patterns associated with empathic feelings (study)

An unprecedented research conducted by a group of neuroscientists has demonstrated that it is possible to train brain patterns associated with empathic feelings. Volunteers who received neurofeedback about their own brain activity patterns whilst being scanned inside a functional magnetic resonance machine were able to increase empathic brain states. These findings could open new possibilities for treatment of clinical situations, such as antisocial personality disorder and postpartum depression.

From the press release:

In Ridley Scott’s film “Blade Runner,” based on the science fiction book ‘Do androids dream of electric sheep?’ by Philip K. Dick, empathy-detection devices are employed to measure tenderness or affection emotions felt toward others (called “affiliative” emotions). Despite recent advances in neurobiology and neurotechnology, it is unknown whether brain signatures of affiliative emotions can be decoded and voluntarily modulated.

The article entitled “Voluntary enhancement of neural signatures of affiliative emotion using fMRI neurofeedback” published in PLOS ONE is the first study to demonstrate through a neurotechnology tool, real-time neurofeedback using functional Magnetic Resonance Imaging (fMRI), the possibility to help the induction of empathic brain states.

The authors conducted this research at the D’Or Institute for Research and Education where a sophisticated computational tool was designed and used to allow the participants to modulate their own brain activity related to affiliative emotions and enhance this activity. This method employed pattern-detection algorithms, called “support vector machines” to classify complex activity patterns arising simultaneously from tenths of thousands of voxels (the 3-D equivalent of pixels) inside the participants’ brains.

Volunteers who received real time information of their ongoing neural activity could change brain network function among connected areas related to tenderness and affection felt toward loved ones, while the control group who performed the same fMRI task without neurofeedback did not show such improvement.

Thus, it was demonstrated that those who received a “real” feedback were able to “train” specific brain areas related to the experience of affiliative emotions that are key for empathy. These findings can lead the way to new opportunities to investigate the use of neurofeedback in conditions associated with reduced empathy and affiliative feelings, such as antisocial personality disorders and post-partum depression.

The authors point out that this study may represent a step towards the construction of the ’empathy box’, an empathy-enhancing machine described by Philip K. Dick’s novel.

Abstract of the research:

In Ridley Scott’s film “Blade Runner”, empathy-detection devices are employed to measure affiliative emotions. Despite recent neurocomputational advances, it is unknown whether brain signatures of affiliative emotions, such as tenderness/affection, can be decoded and voluntarily modulated. Here, we employed multivariate voxel pattern analysis and real-time fMRI to address this question. We found that participants were able to use visual feedback based on decoded fMRI patterns as a neurofeedback signal to increase brain activation characteristic of tenderness/affection relative to pride, an equally complex control emotion. Such improvement was not observed in a control group performing the same fMRI task without neurofeedback. Furthermore, the neurofeedback-driven enhancement of tenderness/affection-related distributed patterns was associated with local fMRI responses in the septohypothalamic area and frontopolar cortex, regions previously implicated in affiliative emotion. This demonstrates that humans can voluntarily enhance brain signatures of tenderness/affection, unlocking new possibilities for promoting prosocial emotions and countering antisocial behavior.

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