Evidence map›Paper›PMID 40932853›Full record

ArticleDevice2025

Public Perceptions of Neurotechnologies Used to Target Mood, Memory, and Motor Symptoms.

Rémy A Furrer, Amanda R Merner, Ian Stevens, Peter Zuk, Theresa Williamson, Francis X Shen, Gabriel Lázaro-Muñoz

Abstract read
In one paragraph

Article in Device, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Engaging patient communities in intracranial neuroscience research.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Rémy A FurrerDepartment of Neurosurgery, Massachusetts General Hospital.
Amanda R MernerDepartment of Neurosurgery, Massachusetts General Hospital.
Ian StevensDepartment of Neurosurgery, Massachusetts General Hospital.
Peter ZukDepartment of Philosophy and Humanities, University of Texas at Arlington.
Theresa WilliamsonDepartment of Neurosurgery, Massachusetts General Hospital.
Francis X ShenUniversity of Minnesota Law School.
Gabriel Lázaro-MuñozDepartment of Neurosurgery, Massachusetts General Hospital.

Funding

Post-trial Access, Clinical Care, Psychosocial Support, and Scientific Progress in Experimental Deep Brain Stimulation ResearchR01MH133657 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI Joseph J. Fins, Gabriel Lazaro-Munoz · 2023 to 2026
$1.9M
Ethical and Policy Aspects of Cortical Visual Prosthetics Research: An Empirical Neuroethics StudyF32MH127776 · NIMH · HARVARD MEDICAL SCHOOL · PI ZUK, PETER DAVID · 2021 to 2024
$212k
NIMH NIH HHS F32 MH127776NIMH NIH HHS R01 MH133657
6 · The paper itself

Abstract

Public attitudes toward four neurotechnologies for treating three types of brain disorders (mood, motor, and memory) vary on a range of metrics such as perceived risk, invasiveness, and likelihood of use. In a survey of 1,052 U.S. participants, deep brain stimulation (DBS) was seen as the most invasive and risky among the surveyed methods, involving the greatest perceived change to the person and the least likely to be used personally. Non-surgical options like transcranial magnetic stimulation (TMS) and pills were viewed as more acceptable. Devices targeting motor symptoms were rated as more beneficial and acceptable than those for mood or memory. These findings highlight barriers to adoption and the need to address public perceptions, ensure patients are informed, and promote ethical implementation of these technologies.

Indexed as

Deep Brain StimulationMRI-guided Focused UltrasoundNeurotechnologyPillsPublic AttitudesTranscranial Magnetic Stimulation

Identifiers

PMID40932853
PMCPMC12419521

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.