Experiencing your brain: neurofeedback as a new bridge between neuroscience and phenomenology.
Juliana Bagdasaryan, Michel Le van Quyen
Frontiers in human neuroscience January 1, 2013 DOI: 10.3389/fnhum.2013.00680 via PubMed
Summary
AI-generated from the abstractNeurophenomenology aims to combine neuroscience with the study of conscious experience, but integrating first-person reports with brain data remains challenging. Neurofeedback, where people learn to regulate their own brain activity in real time, offers a practical way to braid together subjective experience and neural measurements. In this iterative closed-loop setup, conscious activities can directly influence neuronal patterns, illustrating downward causation. The paper discusses mechanisms that might mediate such effects and outlines future research directions.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Downward causation Multiscale neural dynamics Neurofeedback Neurophenomenology Voluntary action |
| Citations | 124 |
| Key finding | Neurofeedback paradigms can integrate first-person and third-person data by creating a causal closed loop where conscious experience directly shapes neural activity. |
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.