Evidence map›Paper›PMID 40976753›Full record

ReviewTrends in cognitive sciences2026

Testing circuit-level theories of consciousness in humans.

Andrew R Dykstra, Yunkai Zhu, Carolina Fernandez Pujol, David W Zhou, Stephanie R Jones, Tomáš Marvan, James J Bonaiuto

Abstract readReview
In one paragraph

Review in Trends in cognitive sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Andrew R DykstraSchool of Communication Sciences and Disorders, University of Central Florida, Orlando, FL, USA. Electronic address: andrew.dykstra@ucf.edu.
Yunkai ZhuSchool of Communication Sciences and Disorders, University of Central Florida, Orlando, FL, USA.
Carolina Fernandez PujolDepartment of Neuroscience, Carney Institute of Brain Science, Brown University, Providence, RI, USA.
David W ZhouDepartment of Neuroscience, Carney Institute of Brain Science, Brown University, Providence, RI, USA.
Stephanie R JonesDepartment of Neuroscience, Carney Institute of Brain Science, Brown University, Providence, RI, USA.
Tomáš MarvanDepartment of Philosophy, Faculty of Arts, University of West Bohemia, Pilsen, Czech Republic.
James J BonaiutoInstitut des Sciences Cognitives Marc Jeannerod, CNRS UMR 5229, Lyon, France; Université Claude Bernard Lyon 1, Université de Lyon, France.

Funding

Dissemination of the Human Neocortical Neurosolver (HNN) software for circuit level interpretation of human MEG/EEGU24NS129945 · NINDS · BROWN UNIVERSITY · PI STEPHANIE Ruggiano JONES · 2023 to 2026
$2.8M
Disinhibition and Hyperexcitability in Human Auditory CortexR21DC020295 · NIDCD · UNIVERSITY OF MIAMI CORAL GABLES · PI DYKSTRA, ANDREW R · 2022 to 2023
$409k
NIDCD NIH HHS R21 DC020295NINDS NIH HHS U24 NS129945
6 · The paper itself

Abstract

Our understanding of the neural basis of consciousness is mostly restricted to large-scale brain activity patterns as measured by methods such as functional magnetic resonance imaging (fMRI) and magneto/electro-encephalography (M/EEG). In contrast, we lack even basic understanding of circuit-level mechanisms supporting consciousness - particularly in humans - despite the fundamental role that such mechanisms likely play in instantiating larger-scale brain activity patterns supporting conscious states and contents. Here, we review what progress has been made on circuit-level theories of consciousness (e.g., apical amplification theory, dendritic integration theory) and argue that such theories can be tested in humans using recently developed, state-of-the-art methods. Doing so will further facilitate translation of consciousness science into clinical settings and strengthen the bridge between circuit- and network-level theories of consciousness.

Indexed as

BrainConsciousnessModels, NeurologicalNerve NetHumansMagnetic Resonance Imagingapical amplification theorybiophysical modelingconsciousnessdendritic integration theoryneuroimagingpyramidal neurons

Identifiers

PMID40976753
PMCPMC12495894

What Socratic holds

Textmetadata
LicenceTDM
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.