Evidence map›Paper›PMID 26156982›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

Visual Learning Induces Changes in Resting-State fMRI Multivariate Pattern of Information.

Roberto Guidotti, Cosimo Del Gratta, Antonello Baldassarre, Gian Luca Romani, Maurizio Corbetta

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  19. Feature-Specific Awake Reactivation in Human V1 after Visual Training.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  20. Towards a whole brain model of Perceptual Learning.Current opinion in behavioral sciences · 2018
    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

5 authors.

Roberto GuidottiDepartment of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy, and r.guidotti@unich.it.
Cosimo Del GrattaDepartment of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy, and.
Antonello BaldassarreDepartment of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy, and Department of Neurology.
Gian Luca RomaniDepartment of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy, and.
Maurizio CorbettaDepartment of Neuroscience, Imaging and Clinical Sciences, and Institute for Advanced Biomedical Technologies, "Gabriele D'Annunzio" University Chieti-Pescara, 66100 Chieti, Italy, and Department of Neurology, Department of Radiology, Department of Anatomy and Neurobiology, and Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, Missouri 63101.

Funding

UNDERSTANDING THE EFFECTS OF STROKE USING FUNCTIONAL CONNECTIVITY MRIR01HD061117 · NICHD · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO · 2009 to 2013
$2.8M
ELECTROPHYSIOLOGICAL STUDIES OF HUMAN ATTENTIONR01MH096482 · NIMH · WASHINGTON UNIVERSITY · PI CORBETTA, MAURIZIO, LEUTHARDT, ERIC CLAUDE · 2012 to 2016
$2.4M
NICHD NIH HHS 5R01-HD-061117-08NICHD NIH HHS R01 HD061117NIMH NIH HHS R01 MH096482NIMH NIH HHS R01-MH-096482-01
6 · The paper itself

Abstract

When measured with functional magnetic resonance imaging (fMRI) in the resting state (R-fMRI), spontaneous activity is correlated between brain regions that are anatomically and functionally related. Learning and/or task performance can induce modulation of the resting synchronization between brain regions. Moreover, at the neuronal level spontaneous brain activity can replay patterns evoked by a previously presented stimulus. Here we test whether visual learning/task performance can induce a change in the patterns of coded information in R-fMRI signals consistent with a role of spontaneous activity in representing task-relevant information. Human subjects underwent R-fMRI before and after perceptual learning on a novel visual shape orientation discrimination task. Task-evoked fMRI patterns to trained versus novel stimuli were recorded after learning was completed, and before the second R-fMRI session. Using multivariate pattern analysis on task-evoked signals, we found patterns in several cortical regions, as follows: visual cortex, V3/V3A/V7; within the default mode network, precuneus, and inferior parietal lobule; and, within the dorsal attention network, intraparietal sulcus, which discriminated between trained and novel visual stimuli. The accuracy of classification was strongly correlated with behavioral performance. Next, we measured multivariate patterns in R-fMRI signals before and after learning. The frequency and similarity of resting states representing the task/visual stimuli states increased post-learning in the same cortical regions recruited by the task. These findings support a representational role of spontaneous brain activity.

Indexed as

RestAdultBrainBrain MappingFemaleFunctional LateralityHumansImage Processing, Computer-AssistedLearningMagnetic Resonance ImagingMaleOxygenPhotic StimulationVisual PerceptionYoung AdultOxygenfMRIMVPApattern classificationperceptual learningresting state

Identifiers

PMID26156982
PMCPMC6605406

What OpenQuestion 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 OpenQuestion graph.