Evidence map›Paper›PMID 33170124›Full record

ArticleeLife2020

Fine-scale computations for adaptive processing in the human brain.

Elisa Zamboni, Valentin G Kemper, Nuno Reis Goncalves, Ke Jia, Vasilis M Karlaftis, Samuel J Bell, Joseph Giorgio, Reuben Rideaux, Rainer Goebel, Zoe Kourtzi

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Distinct early and late neural mechanisms regulate feature-specific sensory adaptation in the human visual system.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors.

Elisa ZamboniDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9200-8031
Valentin G KemperDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
Nuno Reis GoncalvesDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Ke JiaDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Vasilis M KarlaftisDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-1285-1593
Samuel J BellDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Joseph GiorgioDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Reuben RideauxDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-8416-005X
Rainer GoebelDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.
Zoe KourtziDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9441-7832

Funding

Biotechnology and Biological Sciences Research Council BB/P021255/1Biotechnology and Biological Sciences Research Council H012508Wellcome Trust 205067/Z/16/Z
6 · The paper itself

Abstract

Adapting to the environment statistics by reducing brain responses to repetitive sensory information is key for efficient information processing. Yet, the fine-scale computations that support this adaptive processing in the human brain remain largely unknown. Here, we capitalise on the sub-millimetre resolution of ultra-high field imaging to examine functional magnetic resonance imaging signals across cortical depth and discern competing hypotheses about the brain mechanisms (feedforward vs. feedback) that mediate adaptive processing. We demonstrate layer-specific suppressive processing within visual cortex, as indicated by stronger BOLD decrease in superficial and middle than deeper layers for gratings that were repeatedly presented at the same orientation. Further, we show altered functional connectivity for adaptation: enhanced feedforward connectivity from V1 to higher visual areas, short-range feedback connectivity between V1 and V2, and long-range feedback occipito-parietal connectivity. Our findings provide evidence for a circuit of local recurrent and feedback interactions that mediate rapid brain plasticity for adaptive information processing.

Indexed as

Adaptation, BiologicalAdultFemaleHumansMagnetic Resonance ImagingMaleVisual CortexYoung AdultadaptationfMRIfunctional connectivityhumanlaminarlayerneurosciencevisual cortex

Identifiers

PMID33170124
PMCPMC7688307

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.