Training brain patterns of empathy using functional brain imaging

 

May 21, 2014

 

Instituto D'Or de Pesquisa e Ensino (IDOR)

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.

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An unprecedented research conducted by a group of neuroscientists has demonstrated for the first time that it is possible to train brain patterns associated with empathic feelings -- more specifically, tenderness. The research showed that volunteers who received neurofeedback about their own brain activity patterns whilst being scanned inside a functional magnetic resonance (fMRI) machine were able to change brain network function of areas related to tenderness and affection felt toward loved ones. These significant findings could open new possibilities for treatment of clinical situations, such as antisocial personality disorder and postpartum depression.

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.

The paper can be found in PLOS ONE website on May 21, 2014.

The study was supported by Foundation for Research Support in the State of Rio de Janeiro (FAPERJ) and D'Or Institute for Research and Education (IDOR).

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Story Source:

The above story is based on materials provided by Instituto D'Or de Pesquisa e Ensino (IDOR). Note: Materials may be edited for content and length.

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Journal Reference:

1. Jorge Moll, Julie H. Weingartner, Patricia Bado, Rodrigo Basilio, João R. Sato, Bruno R. Melo, Ivanei E. Bramati, Ricardo de Oliveira-Souza, Roland Zahn. Voluntary Enhancement of Neural Signatures of Affiliative Emotion Using fMRI Neurofeedback. PLoS ONE, 2014; 9 (5): e97343 DOI: 10.1371/journal.pone.0097343