Consciousness is typically construed as being explainable purely in terms of either private, raw feels or higher-order, reflective representations. In contrast to this false dichotomy, we propose a new view of consciousness as an interactive, plastic phenomenon open to sociocultural influence. We take up our account of consciousness from the observation of radical cortical neuroplasticity in human development. Accordingly, we draw upon recent research on macroscopic neural networks, including the "default mode," to illustrate cases in which an individual's particular "connectome" is shaped by encultured social practices that depend upon and influence phenomenal and reflective consciousness. On our account, the dynamically interacting connectivity of these networks bring about important individual differences in conscious experience and determine what is "present" in consciousness. Further, we argue that the organization of the brain into discrete anti-correlated networks supports the phenomenological distinction of prereflective and reflective consciousness, but we emphasize that this finding must be interpreted in light of the dynamic, category-resistant nature of consciousness. Our account motivates philosophical and empirical hypotheses regarding the appropriate time-scale and function of neuroplastic adaptation, the relation of high and low-frequency neural activity to consciousness and cognitive plasticity, and the role of ritual social practices in neural development and cognitive function.
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http://dx.doi.org/10.3389/fpsyg.2011.00020 | DOI Listing |
Noise Health
January 2025
Department of EICU, Wenzhou Central Hospital; The Dingli Clinical College of Wenzhou Medical University, Wenzhou, Zhejiang Province, China.
Purpose: This study aimed to assess the levels and sources of noise in the emergency intensive care unit (EICU) of an emergency department and investigate their effects on the sleep quality of conscious patients.
Methods: A study was conducted on patients admitted to the EICU from December 2020 to December 2023. They were categorised according to their sleep quality with the Pittsburgh Sleep Quality Index.
Anesthesiology
January 2025
Department of Anesthesiology, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA.
Introduction: Accurate prognostication in comatose survivors of cardiac arrest is a challenging and high-stakes endeavor. We sought to determine whether internal EEG subparameters extracted by the Bispectral Index (BIS) monitor, a device commonly used to estimate depth-of-anesthesia intraoperatively, could be repurposed to predict recovery of consciousness after cardiac arrest.
Methods: In this retrospective cohort study, we trained a 3-layer neural network to predict recovery of consciousness to the point of command following versus not based on 48 hours of continuous EEG recordings in 315 comatose patients admitted to a single US academic medical center after cardiac arrest (Derivation cohort: N=181; Validation cohort: N=134).
Anesthesiology
January 2025
Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, Germany.
Background: According to the model of the glymphatic system, the directed flow of cerebrospinal fluid (CSF) is a driver of waste clearance from the brain. In sleep, glymphatic transport is enhanced, but it is unclear how it is affected by anesthesia. Animal research indicates partially opposing effects of distinct anesthetics but corresponding results in humans are lacking.
View Article and Find Full Text PDFPsychol Rev
January 2025
Department of Psychological and Brain Sciences, Dartmouth College.
Our premodern ancestors had perceptual, motoric, and cognitive functional domains that were modularly encapsulated. Some of these came to interact through a new type of cross-modular binding in our species. This allowed previously domain-dedicated, encapsulated motoric and sensory operators to operate on operands for which they had not evolved.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Toronto Paramedic Services, City of Toronto, Toronto, Ontario, Canada.
Objectives: Paramedic services face increasing challenges due to delays in patient transfer of care (TOC) at emergency departments (EDs). Prolonged TOC times directly impact paramedic services' ability to provide emergency response, though the patient and clinical factors contributing to these delays remain unclear. We examined TOC times for all transports to the ED and analyzed factors associated with prolonged TOC.
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