ArticleHuman brain mapping2019
Resting-state fMRI detects the effects of learning in short term: A visual search training study.
Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Virtual Reality-Based Vision Therapy for Intermittent Exotropia: A Randomized Clinical Trial.JAMA network open · 2026Trial
- Microstructural and neurochemical plasticity mechanisms interact to enhance human perceptual decision-making.PLoS biology · 2023Article
- Social reappraisal of emotions is linked with the social presence effect in the default mode network.Frontiers in psychiatry · 2023Article
- Visual search training benefits from the integrative effect of enhanced covert attention and optimized overt eye movements.Journal of vision · 2022Article
- Visual experience modulates whole-brain connectivity dynamics: A resting-state fMRI study using the model of radiologists.Human brain mapping · 2021Article
- Resting-State Functional Connectivity in the Dorsal Attention Network Relates to Behavioral Performance in Spatial Attention Tasks and May Show Task-Related Adaptation.Frontiers in human neuroscience · 2021Article
- Resting-state fMRI detects the effects of learning in short term: A visual search training study.Human brain mapping · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Can resting-state functional connectivity (rs-FC) detect the impact of learning on the brain in the short term? To test this possibility, we have combined task-FC and rs-FC tested before and after a 30-min visual search training. Forty-two healthy adults (20 men) divided into no-contact control and trained groups completed the study. We studied the connectivity between four different regions of the brain involved in visual search: the primary visual area, the right posterior parietal cortex (rPPC), the right dorsolateral prefrontal cortex (rDLPFC), and the dorsal anterior cingulate cortex (dACC). Task-FC showed increased connectivity between the rPPC and rDLPFC and between the dACC and rDLPFC from pretraining to posttraining for both the control group and the trained group, suggesting that connectivity between these areas increased with task repetition. In rs-FC, we found enhanced connectivity between these regions in the trained group after training, especially in those with better learning. Whole brain independent component analyses did not reveal any change in main networks after training. These results imply that rs-FC may not only predict individual differences in task performance, but rs-FC might also serve to monitor the impact of learning on the brain after short periods of cognitive training, localizing them in brain areas specifically involved in training.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.