Evidence map›Paper›PMID 25580443›Full record

ArticleBrain computer interfaces (Abingdon, England)2014

Affective Brain-Computer Interfaces As Enabling Technology for Responsive Psychiatric Stimulation.

Alik S Widge, Darin D Dougherty, Chet T Moritz

Abstract read
In one paragraph

Article in Brain computer interfaces (Abingdon, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Trial
  2. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness.International review of psychiatry (Abingdon, England) · 2017
    Review
  15. Article
  16. Adult Hippocampal Neurogenesis, Fear Generalization, and Stress.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2016
    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

3 authors.

Alik S WidgeDepartment of Psychiatry, Massachusetts General Hospital, Charlestown, MA, USA, and Harvard Medical School, Boston, MA, USA ; Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, MA, USA.
Darin D DoughertyDepartment of Psychiatry, Massachusetts General Hospital, Charlestown, MA, USA, and Harvard Medical School, Boston, MA, USA.
Chet T MoritzDepartments of Rehabilitation Medicine and Physiology & Biophysics, Graduate Program in Neuroscience, and the Center for Sensorimotor Neural Engineering, University of Washington, Seattle, WA, USA.

Funding

Combined stem cell transplantation and targeted microstimulation to direct the foR01NS066357 · NINDS · UNIVERSITY OF WASHINGTON · PI HORNER, PHILIP J, MORITZ, CHET T. · 2009 to 2012
$1.3M
NINDS NIH HHS R01 NS066357
6 · The paper itself

Abstract

There is a pressing clinical need for responsive neurostimulators, which sense a patient's brain activity and deliver targeted electrical stimulation to suppress unwanted symptoms. This is particularly true in psychiatric illness, where symptoms can fluctuate throughout the day. Affective BCIs, which decode emotional experience from neural activity, are a candidate control signal for responsive stimulators targeting the limbic circuit. Present affective decoders, however, cannot yet distinguish pathologic from healthy emotional extremes. Indiscriminate stimulus delivery would reduce quality of life and may be actively harmful. We argue that the key to overcoming this limitation is to specifically decode volition, in particular the patient's intention to experience emotional regulation. Those emotion-regulation signals already exist in prefrontal cortex (PFC), and could be extracted with relatively simple BCI algorithms. We describe preliminary data from an animal model of PFC-controlled limbic brain stimulation and discuss next steps for pre-clinical testing and possible translation.

Indexed as

affect decodingdeep brain stimulationhybrid BCIinvasive BCImental disordersprefrontal cortex

Identifiers

PMID25580443
PMCPMC4286358

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Registered trials

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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.