ReviewBrain imaging and behavior2014
Survey of encoding and decoding of visual stimulus via FMRI: an image analysis perspective.
Review in Brain imaging and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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, 1 synthesis or guideline pooled it.
- Natural Image Reconstruction From fMRI Using Deep Learning: A Survey.Frontiers in neuroscience · 2021Pooled it
- Article
- fMRI Brain Decoding and Its Applications in Brain-Computer Interface: A Survey.Brain sciences · 2022Article
- A Visual Encoding Model Based on Contrastive Self-Supervised Learning for Human Brain Activity along the Ventral Visual Stream.Brain sciences · 2021Article
- Temporal embedding and spatiotemporal feature selection boost multi-voxel pattern analysis decoding accuracy.Journal of neuroscience methods · 2020Article
- A Comparative Analysis of Visual Encoding Models Based on Classification and Segmentation Task-Driven CNNs.Computational and mathematical methods in medicine · 2020Article
- Transferring and generalizing deep-learning-based neural encoding models across subjects.NeuroImage · 2018Article
- Object Recognition in Mental Representations: Directions for Exploring Diagnostic Features through Visual Mental Imagery.Frontiers in psychology · 2017Review
- Encoding brain network response to free viewing of videos.Cognitive neurodynamics · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
A variety of exciting scientific achievements have been made in the last few decades in brain encoding and decoding via functional magnetic resonance imaging (fMRI). This trend continues to rise in recent years, as evidenced by the increasing number of published papers in this topic and several published survey papers addressing different aspects of research issues. Essentially, these survey articles were mainly from cognitive neuroscience and neuroimaging perspectives, although computational challenges were briefly discussed. To complement existing survey articles, this paper focuses on the survey of the variety of image analysis methodologies, such as neuroimage registration, fMRI signal analysis, ROI (regions of interest) selection, machine learning algorithms, reproducibility analysis, structural and functional connectivity, and natural image analysis, which were employed in previous brain encoding/decoding research works. This paper also provides discussions of potential limitations of those image analysis methodologies and possible future improvements. It is hoped that extensive discussions of image analysis issues could contribute to the advancements of the increasingly important brain encoding/decoding field.
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.