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Methodological lessons in neurophenomenology: Review of a baseline study and recommendations for research approaches.

Patricia Bockelman, Lauren Reinerman-Jones, Shaun Gallagher

Frontiers in Human Neuroscience 2013 DOI: 10.3389/fnhum.2013.00608 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Review Peer reviewed
Topics Philosophy of mind
Keywords EEG Experience Experimental methods Neurophenomenology Phenomenological interview Simulation
Citations 47
Key findings Three methodological improvements—interdisciplinary shared mental models, rigorous experimental design, and interviewer-driven phenomenological interviews—are proposed to advance neurophenomenological research.

Abstract

Neurophenomenological (NP) methods integrate objective and subjective data in ways that retain the statistical power of established disciplines (like cognitive science) while embracing the value of first-person reports of experience. The present paper positions neurophenomenology as an approach that pulls from traditions of cognitive science but includes techniques that are challenging for cognitive science in some ways. A baseline study is reviewed for "lessons learned," that is, the potential methodological improvements that will support advancements in understanding consciousness and cognition using neurophenomenology. These improvements, we suggest, include (1) addressing issues of interdisciplinarity by purposefully and systematically creating and maintaining shared mental models among research team members; (2) making sure that NP experiments include high standards of experimental design and execution to achieve variable control, reliability, generalizability, and replication of results; and (3) conceiving of phenomenological interview techniques as placing the impetus on the interviewer in interaction with the experimental subject.

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