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Related Concept Videos

Psychosurgery01:30

Psychosurgery

104
Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...
104

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Related Experiment Video

Updated: Sep 8, 2025

Assessing Changes in Synaptic Plasticity Using an Awake Closed-Head Injury Model of Mild Traumatic Brain Injury
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Neuroprognostication and Ethical Considerations in Traumatic Brain Injury.

Natalie A Ivey1, Laura B Ngwenya2, Lori A Shutter3

  • 1University of Cincinnati Medical Center, 231 Albert Sabin Way, MSB 5251, Cincinnati, OH 45267, USA.

Neurosurgery Clinics of North America
|June 21, 2025
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Summary

Predicting neurorehabilitation after severe traumatic brain injury is difficult. New models using advanced imaging, biomarkers, and EEG can improve neuroprognostication and guide care decisions.

Keywords:
Decision aidDisabilityNeuroprognosisRecoveryWithdrawal of life-supporting therapy

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Area of Science:

  • Neuroscience
  • Medical Prognosis

Background:

  • Neuroprognostication for severe traumatic brain injury (TBI) patients is challenging due to limited objective data.
  • Current prognostic models often focus on mortality, necessitating updated approaches.

Purpose of the Study:

  • To address the need for improved neuroprognostication in severe TBI.
  • To explore the utility of emerging technologies in predicting neurorehabilitation and neurorecovery outcomes.

Main Methods:

  • Review of current prognostic models and their limitations.
  • Discussion of emerging technologies including advanced imaging, biomarkers, and electroencephalography (EEG) for enhanced prognosis.
  • Consideration of decision aids for family discussions and goal optimization.

Main Results:

  • Severe TBI neuroprognostication requires more objective data beyond current models.
  • Advanced imaging, biomarkers, and EEG show promise as tools for predicting patient recovery.
  • Decision aids can support surrogate decision-makers in aligning care goals with prognosis.

Conclusions:

  • Updated prognostic models incorporating novel technologies are crucial for severe TBI patients.
  • Integrating advanced tools can improve the accuracy of neurorehabilitation and neurorecovery predictions.
  • Enhanced decision-making support is vital for optimizing care goals in TBI recovery.