ArticleBehavioural neurology2018
Mining EEG with SVM for Understanding Cognitive Underpinnings of Math Problem Solving Strategies.
Article in Behavioural neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 11 citations in OpenAlex.
- Detecting cognitive traits and occupational proficiency using EEG and statistical inference.Scientific reports · 2024Article
- Principles and open questions in functional brain network reconstruction.Human brain mapping · 2021Review
- Mining Temporal Dynamics With Support Vector Machine for Predicting the Neural Fate of Target in Attentional Blink.Frontiers in systems neuroscience · 2021Article
- A brain connectivity characterization of children with different levels of mathematical achievement based on graph metrics.PloS one · 2020Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We have developed a new methodology for examining and extracting patterns from brain electric activity by using data mining and machine learning techniques. Data was collected from experiments focused on the study of cognitive processes that might evoke different specific strategies in the resolution of math problems. A binary classification problem was constructed using correlations and phase synchronization between different electroencephalographic channels as characteristics and, as labels or classes, the math performances of individuals participating in specially designed experiments. The proposed methodology is based on using well-established procedures of feature selection, which were used to determine a suitable brain functional network size related to math problem solving strategies and also to discover the most relevant links in this network without including noisy connections or excluding significant connections.
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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.