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Related Concept Videos

Psychosurgery01:30

Psychosurgery

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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...
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Defining Surgical Terminology and Risk for Brain Computer Interface Technologies.

Eric C Leuthardt1,2,3,4,5,6,7, Daniel W Moran1,2, Tim R Mullen8

  • 1Department of Biomedical Engineering, Washington University, St. Louis, MO, United States.

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Summary
This summary is machine-generated.

A new semantic framework clarifies brain-computer interface (BCI) terminology, categorizing devices by surgical invasiveness (non-invasive, embedded, intracranial) to better define clinical risks and guide ethical deployment.

Keywords:
ECOGEEGbrain computer interface (BCI)local field potentialneuroprostheticsingle neuronsurgical riskterminology

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Device Technology

Background:

  • Current brain-computer interface (BCI) terminology like "minimally invasive" or "non-invasive" is vague regarding clinical deployment risks.
  • The form factor and anatomical location of BCIs significantly influence their associated risks.
  • A need exists for precise terminology to describe the surgical footprint and clinical risk profiles of BCIs.

Purpose of the Study:

  • To present a semantic framework for describing BCIs based on their procedural deployment and clinical risk.
  • To propose a three-category system (Non-invasive, Embedded, Intracranial) for classifying BCIs.
  • To enhance the discussion of BCI technologies among clinicians, patients, and consumers.

Main Methods:

  • Developed a semantic framework to categorize BCIs by their anatomical interface with the patient.
  • Defined three distinct classes: Non-invasive (no body penetration), Embedded (penetrative to inner skull table), and Intracranial (within skull/brain volume).
  • Assessed the distinct risk profiles associated with each BCI classification.

Main Results:

  • Proposed a three-tiered classification system: Non-invasive, Embedded, and Intracranial BCIs.
  • Each category possesses a unique risk profile relevant to specific clinical populations.
  • The framework aims to standardize terminology for BCI surgical procedures and deployment.

Conclusions:

  • A precise, three-category terminology (Non-invasive, Embedded, Intracranial) is essential for standardizing BCI descriptions.
  • This framework aids in understanding and communicating the clinical risks associated with different BCI types.
  • Standardized language will facilitate more ethical and informed deployment of BCI technologies in clinical practice.