Evidence map›Paper›PMID 27601986›Full record

ArticleFrontiers in human neuroscience2016

Ongoing Slow Fluctuations in V1 Impact on Visual Perception.

Afra M Wohlschläger, Sarah Glim, Junming Shao, Johanna Draheim, Lina Köhler, Susana Lourenço, Valentin Riedl, Christian Sorg

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. 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. Article
  2. Article
  3. Review
  4. 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.

Afra M WohlschlägerDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany; Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität MünchenMartinsried, Germany.
Sarah GlimDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany; Graduate School of Systemic Neurosciences, Ludwig-Maximilians-Universität MünchenMartinsried, Germany.
Junming ShaoDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany; Department of Computer Science and Technology, University of Electronic Science and Technology of ChinaChengdu, China.
Johanna DraheimDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany.
Lina KöhlerDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany.
Susana LourençoDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany.
Valentin RiedlDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany; Department of Nuclear Medicine, Technische Universität MünchenMunich, Germany.
Christian SorgDepartment of Neuroradiology, Technische Universität MünchenMunich, Germany; TUM-Neuroimaging Center, Technische Universität MünchenMunich, Germany; Department of Psychiatry, Technische Universität MünchenMunich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human brain's ongoing activity is characterized by intrinsic networks of coherent fluctuations, measured for example with correlated functional magnetic resonance imaging signals. So far, however, the brain processes underlying this ongoing blood oxygenation level dependent (BOLD) signal orchestration and their direct relevance for human behavior are not sufficiently understood. In this study, we address the question of whether and how ongoing BOLD activity within intrinsic occipital networks impacts on conscious visual perception. To this end, backwardly masked targets were presented in participants' left visual field only, leaving the ipsi-lateral occipital areas entirely free from direct effects of task throughout the experiment. Signal time courses of ipsi-lateral BOLD fluctuations in visual areas V1 and V2 were then used as proxies for the ongoing contra-lateral BOLD activity within the bilateral networks. Magnitude and phase of these fluctuations were compared in trials with and without conscious visual perception, operationalized by means of subjective confidence ratings. Our results show that ipsi-lateral BOLD magnitudes in V1 were significantly higher at times of peak response when the target was perceived consciously. A significant difference between conscious and non-conscious perception with regard to the pre-target phase of an intrinsic-frequency regime suggests that ongoing V1 fluctuations exert a decisive impact on the access to consciousness already before stimulation. Both effects were absent in V2. These results thus support the notion that ongoing slow BOLD activity within intrinsic networks covering V1 represents localized processes that modulate the degree of readiness for the emergence of visual consciousness.

Indexed as

backward maskingongoing BOLD signalpre-stimulus activityslow fluctuationsvisual consciousness

Identifiers

PMID27601986
PMCPMC4993989

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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.