Evidence map›Paper›PMID 35519511›Full record

ArticleInnovation (Cambridge (Mass.))2022

Mapping the emergence of visual consciousness in the human brain via brain-wide intracranial electrophysiology.

Liang Shan, Hui Huang, Zhiting Zhang, Yuyin Wang, Fei Gu, Mingwei Lu, Wen Zhou, Yi Jiang, Ji Dai

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

9 authors.

Liang ShanGuangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Hui HuangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Zhiting ZhangGuangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Yuyin WangGuangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Fei GuUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Mingwei LuDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Wen ZhouUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Yi JiangUniversity of Chinese Academy of Sciences, Beijing 100049, China.
Ji DaiGuangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, The Brain Cognition and Brain Disease Institute (BCBDI), Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consciousness lies at the heart of our existence and experience. To probe how perceptual consciousness emerges in the brain, we recorded brain-wide intracranial electroencephalography signals from human patients while their perceptual consciousness was effectively manipulated using the continuous flash suppression paradigm. We observed substantial differences in brain activities when visual information gradually enters consciousness. Specifically, the functional connectivity first increases and then decreases, oscillations in the low-frequency band reduce in power, and those in the high-frequency band remain unchanged. We employed random forest-based classification to characterize the transitions from no perception to subconsciousness and then to consciousness, which showed an increase in signal variance at the second transition rather than the first. Further, the frontal-parietal junction dominates the first transition, whereas the temporal-frontal lobes dominate the second transition. Finally, we identified the most relevant neuronal features associated with consciousness. Altogether, these findings shed fresh light on the emergence of visual consciousness.

Indexed as

iEEGintracranial electroencephalographymachine learningrandom forestsubconsciousvisual consciousness

Identifiers

PMID35519511
PMCPMC9065914

What OpenQuestion holds

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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.