ArticleScientific reports2020
Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Non-invasive canine electroencephalography (EEG): a systematic review.BMC veterinary research · 2025Pooled it
- Dog brain representations of human facial expressions: Encoding happiness and differentiating specific negative expressions.iScience · 2026Article
- After all, how valuable is the dog model for examining human socio-cognitive abilities?Biologia futura · 2025Review
- A novel electroencephalographic evaluation of noxious stimulation during isoflurane anesthesia in dogs.Experimental animals · 2025Article
- Empathy enhances decoding accuracy of human neurophysiological responses to emotional facial expressions of humans and dogs.Social cognitive and affective neuroscience · 2024Article
- Raising an Eye at Facial Muscle Morphology in Canids.Biology · 2024Article
- Action observation reveals a network with divergent temporal and parietal cortex engagement in dogs compared with humans.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- What Is Written on a Dog's Face? Evaluating the Impact of Facial Phenotypes on Communication between Humans and Canines.Animals : an open access journal from MDPI · 2023Article
- Functionally analogous body- and animacy-responsive areas are present in the dog (Canis familiaris) and human occipito-temporal lobe.Communications biology · 2023Article
- Structural connectome alterations in anxious dogs: a DTI-based study.Scientific reports · 2023Article
- Visual perception of emotion cues in dogs: a critical review of methodologies.Animal cognition · 2023Review
- Interhemispheric asymmetry during NREM sleep in the dog.Scientific reports · 2021Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dogs process faces and emotional expressions much like humans, but the time windows important for face processing in dogs are largely unknown. By combining our non-invasive electroencephalography (EEG) protocol on dogs with machine-learning algorithms, we show category-specific dog brain responses to pictures of human and dog facial expressions, objects, and phase-scrambled faces. We trained a support vector machine classifier with spatiotemporal EEG data to discriminate between responses to pairs of images. The classification accuracy was highest for humans or dogs vs. scrambled images, with most informative time intervals of 100-140 ms and 240-280 ms. We also detected a response sensitive to threatening dog faces at 30-40 ms; generally, responses differentiating emotional expressions were found at 130-170 ms, and differentiation of faces from objects occurred at 120-130 ms. The cortical sources underlying the highest-amplitude EEG signals were localized to the dog visual cortex.
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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.