NEUROPHENOMENOLOGICAL OEUVRE IN LARGE-SCALE NETWORKS: THE NEURAL DYNAMICS OF SUBJECTIVE EXPERIENCE
Nathazsha Gande
IBRO Neuroscience Reports October 1, 2023 DOI: 10.1016/j.ibneur.2023.08.1982 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that neurophenomenology, combining first-person phenomenological reports with third-person neural data via neurofeedback, can clarify the dynamic interplay between large-scale brain networks and executive function. Contends that experience of objects is more convoluted than models suggesting we interpret them as definite, reflecting an adversarial association between default and executive control networks. |
Abstract
Neurophenomenology is a research program that seeks to integrate the fields of neuroscience and phenomenology for the purpose of investigating the nature of human experience. Contemporary neurocognitive models pertaining to self-regulation and execution suggests that individuals interpret objects they perceive and approach as definite in their experiential encounter. Yet, a comprehensive analysis on the phenomenology of awareness and behaviour reveals that during the process of detecting or interacting with objects, we experience them in a convoluted manner that underlies an adversarial association of default and executive control networks. In this regard, numerous studies have invested in specific tasks involving creative-thinking that engage large-scale networks during artistic performance to understand the intricate cognitive processes of goal-oriented, self-generated thinking when subjects interact with objects and the world around them. This perspective provides a cognitive neuroscience lens on first-person narrative and third-person neural data co-development through the use of neurofeedback, aiming to enhance our understanding of the dynamic interplay between large-scale neural networks and acknowledges the challenges associated with the concurrent acquisition of both phenomenological and neuroscientific data. By doing so, research gaps and explanations for apparent discrepancies are elaborated, supporting executive function with a more in-depth phenomenological understanding of ourselves.