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Updated: Feb 10, 2026
07:37
Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
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Large-Scale Brain Simulation and Disorders of Consciousness. Mapping Technical and Conceptual Issues
Michele Farisco1,2, Jeanette H Kotaleski3,4, Kathinka Evers1
1Centre for Research Ethics and Bioethics, Uppsala University, Uppsala, Sweden.
Frontiers in Psychology
|May 10, 2018
Summary
Computer models and brain simulations offer potential solutions for understanding consciousness and aiding patients with disorders of consciousness (DOCs). These advanced tools may improve assessment and treatment for conditions like coma and minimally conscious states.
Area of Science:
- Neuroscience
- Computational Biology
- Medical Simulation
Background:
- Neuroscientific approaches are fragmented, hindering integrated brain knowledge.
- Computer models and simulations are increasingly used for brain operation prediction.
- Disorders of Consciousness (DOCs) present significant clinical challenges in assessment and care.
Purpose of the Study:
- Investigate the feasibility of using simulation technologies to emulate consciousness.
- Explore the potential clinical impact of large-scale brain simulations on DOCs.
- Assess the utility of simulating neural correlates of consciousness for patient treatment.
Main Methods:
- Review of current modeling and simulation technologies in neuroscience.
- Analysis of the application of these technologies to disorders of consciousness.
- Conceptual exploration of consciousness emulation via computational models.
Main Results:
- Simulation technologies show promise despite current technical limitations.
- Brain simulations can potentially offer novel solutions for clinical problems in DOCs.
- Simulating neural correlates of consciousness may enhance patient care.
Conclusions:
- Simulation technologies hold potential for advancing the understanding and treatment of disorders of consciousness.
- Large-scale brain simulation could revolutionize the assessment and care of patients with DOCs.
- Further development in simulation may bridge the gap in fragmented neuroscientific knowledge.
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