Evidence map›Paper›PMID 39883908›Full record

ReviewNeurology2025

Reconstructing Covert Consciousness: Neural Decoding as a Novel Consciousness Assessment.

David Fischer, Brian L Edlow, Holly J Freeman, Daniel Alaiev, Qichao Wu, Jeffrey B Ware, John A Detre, Geoffrey K Aguirre

Abstract readReview
In one paragraph

Review in Neurology, 2025. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Rapid cortical mapping with cross-participant encoding models.Imaging neuroscience (Cambridge, Mass.) · 2026
    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

8 authors.

David FischerDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0000-0001-8181-0643
Brian L EdlowCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.ORCID 0000-0001-7235-8456
Holly J FreemanCenter for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston.ORCID 0009-0004-8217-2937
Daniel AlaievDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0000-0002-5577-5159
Qichao WuDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0009-0007-3343-6045
Jeffrey B WareDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0000-0002-3495-9733
John A DetreDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0000-0002-8115-6343
Geoffrey K AguirreDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia.ORCID 0000-0002-4028-3100

Funding

A functional brain network to detect and predict consciousness recoveryK23NS136745 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI David Jacobson Fischer · 2025 to 2026
$440k
NINDS NIH HHS K23 NS136745
6 · The paper itself

Abstract

Determining the level of consciousness in patients with brain injury-and more fundamentally, establishing what they can experience-is ethically and clinically impactful. Patient behaviors may unreliably reflect their level of consciousness: a subset of unresponsive patients demonstrate covert consciousness by willfully modulating their brain activity to commands through fMRI or EEG. However, current paradigms for assessing covert consciousness remain fundamentally limited because they are insensitive, rely on imperfect assumptions of functional neuroanatomy, and do not reflect the spectrum of conscious experience. Neural decoding, in which stimuli and concepts are reconstructed from brain activity, offers a novel approach to covert consciousness assessment that overcomes many of these limitations. In this article, we discuss the current state of covert consciousness assessments, their shortcomings, the state of the science in neural decoding, the potential application of neural decoding to disorders of consciousness, and future directions that may help realize this potential. To do so, we searched PubMed and Google Scholar databases for pertinent articles published between January 1990 and September 2024, using the search terms "covert consciousness," "cognitive motor dissociation," "neural decoding," and "semantic decoding." Redefining covert consciousness with neural decoding may improve sensitivity, enhance granularity, and more directly address the question of what patients can experience after brain injury.

Indexed as

BrainBrain InjuriesConsciousnessConsciousness DisordersElectroencephalographyHumansMagnetic Resonance Imaging

Identifiers

PMID39883908
PMCPMC11781786

What Socratic 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 Socratic graph.