Experiencing your brain: neurofeedback as a new bridge between neuroscience and phenomenology.

Summary

Neurophenomenology aims to combine neuroscience with the study of conscious experience, but integrating first-person data into experiments remains challenging. This paper proposes that neurofeedback—where individuals learn to self-regulate their own neural activity—offers a pragmatic solution. In neurofeedback, first-person and third-person descriptions are braided together in an iterative causal loop, allowing conscious experience to directly influence neural data in real time. This approach may deepen understanding of downward causation, where conscious activities causally affect neuronal patterns. The authors discuss possible mechanisms and outline future research directions.

Study at a glance

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.

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