Evidence map›Paper›PMID 25664913›Full record

ArticleNature neuroscience2015

Closed-loop training of attention with real-time brain imaging.

Megan T deBettencourt, Jonathan D Cohen, Ray F Lee, Kenneth A Norman, Nicholas B Turk-Browne

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 3 pooled it
–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

172 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The potential of real-time fMRI neurofeedback for stroke rehabilitation: A systematic review.Cortex; a journal devoted to the study of the nervous system and behavior · 2018
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  12. Neural and autonomic predictors of future listening errors.bioRxiv : the preprint server for biology · 2026
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  18. Live Spike Sorting of Large-scale Neural Recordings.bioRxiv : the preprint server for biology · 2026
    Article
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112 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Megan T deBettencourtPrinceton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA.
Jonathan D Cohen1] Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA. [2] Department of Psychology, Princeton University, Princeton, New Jersey, USA.
Ray F LeePrinceton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA.
Kenneth A Norman1] Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA. [2] Department of Psychology, Princeton University, Princeton, New Jersey, USA.
Nicholas B Turk-Browne1] Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA. [2] Department of Psychology, Princeton University, Princeton, New Jersey, USA.

Funding

Neural and Behavioral Interactions Between Attention, Perception, and LearningR01EY021755 · NEI · PRINCETON UNIVERSITY · PI TURK-BROWNE, NICHOLAS BENJAMIN · 2011 to 2015
$1.8M
NEI NIH HHS R01 EY021755NEI NIH HHS R01EY021755
6 · The paper itself

Abstract

Lapses of attention can have negative consequences, including accidents and lost productivity. Here we used closed-loop neurofeedback to improve sustained attention abilities and reduce the frequency of lapses. During a sustained attention task, the focus of attention was monitored in real time with multivariate pattern analysis of whole-brain neuroimaging data. When indicators of an attentional lapse were detected in the brain, we gave human participants feedback by making the task more difficult. Behavioral performance improved after one training session, relative to control participants who received feedback from other participants' brains. This improvement was largest when feedback carried information from a frontoparietal attention network. A neural consequence of training was that the basal ganglia and ventral temporal cortex came to represent attentional states more distinctively. These findings suggest that attentional failures do not reflect an upper limit on cognitive potential and that attention can be trained with appropriate feedback about neural signals.

Indexed as

AttentionBrainBrain MappingComputer SimulationFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMultivariate AnalysisNerve NetNeurofeedbackOxygenPsychophysicsReaction TimeYoung AdultOxygen

Identifiers

PMID25664913
PMCPMC4503600

What OpenQuestion holds

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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.