Evidence map›Paper›PMID 36097181›Full record

ReviewNature protocols2022

Neuroscience robotics for controlled induction and real-time assessment of hallucinations.

Fosco Bernasconi, Eva Blondiaux, Giulio Rognini, Herberto Dhanis, Laurent Jenni, Jevita Potheegadoo, Masayuki Hara, Olaf Blanke

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Fosco Bernasconi *Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.ORCID http://orcid.org/0000-0002-7835-6598
Eva Blondiaux *Laboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.
Giulio RogniniLaboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.
Herberto DhanisLaboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.ORCID http://orcid.org/0000-0001-9003-3655
Laurent JenniLaboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.
Jevita PotheegadooLaboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland.
Masayuki HaraGraduate School of Science and Engineering, Saitama University, Saitama, Japan.ORCID http://orcid.org/0000-0002-1684-1483
Olaf BlankeLaboratory of Cognitive Neuroscience, Center for Neuroprosthetics & Brain Mind Institute, Faculty of Life Sciences, Swiss Federal Institute of Technology (EPFL), Geneva, Switzerland. olaf.blanke@epfl.ch.ORCID http://orcid.org/0000-0002-9745-3983
École Polytechnique Fédérale de Lausanne · CHSaitama University · JPUniversity Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although hallucinations are important and frequent symptoms in major psychiatric and neurological diseases, little is known about their brain mechanisms. Hallucinations are unpredictable and private experiences, making their investigation, quantification and assessment highly challenging. A major shortcoming in hallucination research is the absence of methods able to induce specific and short-lasting hallucinations, which resemble clinical hallucinations, can be elicited repeatedly and vary across experimental conditions. By integrating clinical observations and recent advances in cognitive neuroscience with robotics, we have designed a novel device and sensorimotor method able to repeatedly induce a specific, clinically relevant hallucination: presence hallucination. Presence hallucinations are induced by applying specific conflicting (spatiotemporal) sensorimotor stimulation including an upper extremity and the torso of the participant. Another, MRI-compatible, robotic device using similar sensorimotor stimulation permitted the identification of the brain mechanisms of these hallucinations. Enabling the identification of behavioral and a frontotemporal neural biomarkers of hallucinations, under fully controlled experimental conditions and in real-time, this method can be applied in healthy participants as well as patients with schizophrenia, neurodegenerative disease or other hallucinations. The execution of these protocols requires intermediate-level skills in cognitive neuroscience and MRI processing, as well as minimal coding experience to control the robotic device. These protocols take ~3 h to be completed.

Indexed as

Neurodegenerative DiseasesSchizophreniaBrainHallucinationsHumansMagnetic Resonance Imaging

Identifiers

PMID36097181
OpenAlexW4295457305

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.