ArticleFrontiers in computational neuroscience2021
Visual Explanation for Identification of the Brain Bases for Developmental Dyslexia on fMRI Data.
Article in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- [The application of machine learning in the auxiliary diagnosis of specific learning disorder].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Review
- Lightweight hybrid transformers-based dyslexia detection using cross-modality data.Scientific reports · 2025Article
- Distinct connectivity patterns between perception and attention-related brain networks characterize dyslexia: Machine learning applied to resting-state fMRI.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Encoding models for developmental cognitive computational neuroscience: Promise, challenges, and potential.Developmental cognitive neuroscience · 2024Review
- A Review of Artificial Intelligence-Based Dyslexia Detection Techniques.Diagnostics (Basel, Switzerland) · 2024Review
- From brain to education through machine learning: Predicting literacy and numeracy skills from neuroimaging data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Deep learning-driven dyslexia detection model using multi-modality data.PeerJ. Computer science · 2024Article
- Predicting Brain Age at Slice Level: Convolutional Neural Networks and Consequences for Interpretability.Frontiers in psychiatry · 2021Article
- Deep learning interpretability in neuroimaging: A comprehensive survey and methodological recommendations.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.