Abstract

Neurophenomenology is a scientific research program aimed to combine neuroscience with phenomenology in order to study human experience. Nevertheless, despite several explicit implementations, the integration of first-person data into the experimental protocols of cognitive neuroscience still faces a number of epistemological and methodological challenges. Notably, the difficulties to simultaneously acquire phenomenological and neuroscientific data have limited its implementation into research projects. In our paper, we propose that neurofeedback paradigms, in which subjects learn to self-regulate their own neural activity, may offer a pragmatic way to integrate first-person and third-person descriptions. Here, information from first- and third-person perspectives is braided together in the iterative causal closed loop, creating experimental situations in which they reciprocally constrain each other. In real-time, the subject is not only actively involved in the process of data acquisition, but also assisted to directly influence the neural data through conscious experience. Thus, neurofeedback may help to gain a deeper phenomenological-physiological understanding of downward causations whereby conscious activities have direct causal effects on neuronal patterns. We discuss possible mechanisms that could mediate such effects and indicate a number of directions for future research.

Highlights

  • In the present article, we have proposed that neurofeedback is an appropriate experimental paradigm to bridge the gap between neuroscience and personal experience

  • The technical and experimental setups of neurofeedback create an interface between scientific and personal data types such that both are embedded in one information stream

  • This provides the subject a window to experience his or her own neural activity, which has proven to carry useful information in the context of self-regulation. Such a setting combines seamlessly with the dynamical systems idea proposed by Varela in the “enactive” approach (Thompson and Varela, 2001), where the organism both initiates and is shaped by the environment (Varela et al, 1991)

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Summary

Bagdasaryan and Le Van Quyen

Valuable work has sharpened the acquisition methods of qualitative data (Lutz et al, 2002; Depraz et al, 2003; Petitmengin et al, 2007), a meaningful link between these and the neural data remains challenging. A interesting approach consisted of using intracranial EEG recorded in epileptic patients to design a simple computer interface ( called “Brain TV,” http://www.braintv.org; see Petitmengin and Lachaux, 2013) and to display to patients in real-time their activity recorded at particular cortical locations in several frequency bands, including alpha (8–12 Hz), beta (12–30 Hz), and gamma bands (>40 Hz; Lachaux et al, 2007) During such neurofeedback sessions, the patients were able to observe their own neural data. The personal pain perception alone was not sufficient for the control of pain, whereas the feedback on neural activity seemed to provide additional information that played a crucial role in the ability to control physiological processes Overall, these studies indicate that control over neural activity is not confined to a particular neurophysiological function or a specific anatomical location. It seems to be a more general property of the brain that can be learned for different neural profiles and various clinical or cognitive conditions given appropriate feedback

NEUROPHENOMENOLOGY MEETS NEUROFEEDBACK
CONCLUSION
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