Evidence map›Paper›PMID 24046734›Full record

ArticleFrontiers in human neuroscience2013

Cyborg psychiatry to ensure agency and autonomy in mental disorders. A proposal for neuromodulation therapeutics.

Jean-Arthur Micoulaud-Franchi, Guillaume Fond, Guillaume Dumas

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

3 authors at 3 institutions in 2 countries.

Jean-Arthur Micoulaud-FranchiUnité de Neurophysiologie, Psychophysiologie et Neurophénoménologie, Solaris, Pôle de Psychiatrie Universitaire, Hôpital Sainte-Marguerite Marseille, France ; Laboratoire de Neurosciences Cognitives, UMR CNRS 7291, 31 Aix-Marseille Université, Site St Charles Marseille, France.
Guillaume Fond
Guillaume Dumas
Florida Atlantic University · USFondation FondaMental · FRHôpital Sainte-Marguerite · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromodulation therapeutics-as repeated Transcranial Magnetic Stimulation (rTMS) and neurofeedback-are valuable tools for psychiatry. Nevertheless, they currently face some limitations: rTMS has confounding effects on neural activation patterns, and neurofeedback fails to change neural dynamics in some cases. Here we propose how coupling rTMS and neurofeedback can tackle both issues by adapting neural activations during rTMS and actively guiding individuals during neurofeedback. An algorithmic challenge then consists in designing the proper recording, processing, feedback, and control of unwanted effects. But this new neuromodulation technique also poses an ethical challenge: ensuring treatment occurs within a biopsychosocial model of medicine, while considering both the interaction between the patients and the psychiatrist, and the maintenance of individuals' autonomy. Our solution is the concept of Cyborg psychiatry, which embodies the technique and includes a self-engaged interaction between patients and the neuromodulation device.

Indexed as

brain computer interfacebrain-state-dependent stimulationmental disorderneurocognitive networksneurofeedbacknon-invasive brain stimulationpsychiatrytranscranial magnetic stimulation

Identifiers

PMID24046734
PMCPMC3763194
OpenAlexW2045726879

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.