ArticleCognitive neurodynamics2020
Brain connectivity analysis in fathers of children with autism.
Article in Cognitive neurodynamics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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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
7 citing papers in PubMed, 13 citations in OpenAlex.
- Broader autism phenotype, the default mode network, and brain entropy: A network-level hypothesis.Research in neurodiversity · 2026Article
- A multi-stage dynamical fusion network for multimodal emotion recognition.Cognitive neurodynamics · 2023Article
- Autism spectrum disorder recognition based on multi-view ensemble learning with multi-site fMRI.Cognitive neurodynamics · 2023Article
- Recognition of Emotion by Brain Connectivity and Eye Movement.Sensors (Basel, Switzerland) · 2022Article
- Detecting synaptic connections in neural systems using compressive sensing.Cognitive neurodynamics · 2022Article
- Classification of ASD based on fMRI data with deep learning.Cognitive neurodynamics · 2021Article
- Atypical Neural Responses of Cognitive Flexibility in Parents of Children With Autism Spectrum Disorder.Frontiers in neuroscience · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder in which changes in brain connectivity, associated with autistic-like traits in some individuals. First-degree relatives of children with autism may show mild deficits in social interaction. The present study investigates electroencephalography (EEG) brain connectivity patterns of the fathers who have children with autism while performing facial emotion labeling task. Fifteen biological fathers of children with the diagnosis of autism (Test Group) and fifteen fathers of neurotypical children with no personal or family history of autism (Control Group) participated in this study. Facial emotion labeling task was evaluated using a set of photos consisting of six categories (mild and extreme: anger, happiness, and sadness). Group Independent Component Analysis method was applied to EEG data to extract neural sources. Dynamic causal connectivity of neural sources signals was estimated using the multivariate autoregressive model and quantified by using the Granger causality-based methods. Statistical analysis showed significant differences (
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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.