Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
    • Special Collections
  • EDITORIAL BOARD
    • Editorial Board
    • ECR Advisory Board
    • Journal Staff
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
    • Accessibility
  • SUBSCRIBE

User menu

  • Log out
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Neuroscience
  • Log out
  • Log in
  • My Cart
Journal of Neuroscience

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Collections
    • Podcast
  • ALERTS
  • FOR AUTHORS
    • Information for Authors
    • Fees
    • Journal Clubs
    • eLetters
    • Submit
    • Special Collections
  • EDITORIAL BOARD
    • Editorial Board
    • ECR Advisory Board
    • Journal Staff
  • ABOUT
    • Overview
    • Advertise
    • For the Media
    • Rights and Permissions
    • Privacy Policy
    • Feedback
    • Accessibility
  • SUBSCRIBE
PreviousNext
Cover ArticleResearch Articles, Behavioral/Cognitive

Brain–Behavior Differences in Premodern and Modern Lineages of Domestic Dogs

Sophie A. Barton, Jeroen B. Smaers, James A. Serpell and Erin E. Hecht
Journal of Neuroscience 2 July 2025, 45 (27) e2032242025; https://doi.org/10.1523/JNEUROSCI.2032-24.2025
Sophie A. Barton
1Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sophie A. Barton
Jeroen B. Smaers
2Department of Anthropology, Stony Brook University, Stony Brook, New York 11794
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James A. Serpell
3Department of Clinical Sciences & Advanced Medicine, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erin E. Hecht
1Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Erin E. Hecht
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • Peer Review
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Additional Files
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Significantly enlarged regions of gray matter volume in modern breed dogs compared with premodern dogs. Colored regions are all p < 0.05 after correction for multiple comparisons; t statistic values are illustrated. Visualized on a canine brain atlas created by Johnson et al. (2020).

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    Significantly enlarged regions of gray matter volume in premodern dogs compared with modern breed dogs. Colored regions are all p < 0.05 after correction for multiple comparisons; t statistic values are illustrated. Visualized on a canine brain atlas created by Johnson et al. (2020).

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    Regions of gray matter volume that are significantly enlarged with increasing brain size (light blue) and decreasing brain size (orange). Colored regions are all p < 0.05 after correction for multiple comparisons; t statistic values are illustrated. Visualized on a canine brain atlas created by Johnson et al. (2020).

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Significantly expanded regions of gray matter volume in modern breed dogs compared with premodern dogs while controlling for brain size. Colored regions are all p < 0.05 after correction; t statistic values are illustrated. Visualized on canine a canine brain atlas created by Johnson et al. (2020).

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Relationship between regional expansion in gray matter volume and behavior scores in modern breed and premodern dogs. Regional expansion is shown in the Jacobian warp values for each individual dog; positive numbers indicate expansion relative to the average brain template whereas negative numbers indicate contraction. Each panel corresponds to the relationship between brain expansion and the following C-BARQ behaviors—trainability (A), overall fear (B), stranger-directed fear (C), dog-directed fear (D), and nonsocial fear (E). Numbered points represent individuals with the highest behavior score and/or most regional brain expansion: (1) Joseph, a companion Labrador retriever; (2) Otis, a Labrador retriever bred and trained for service work; (3) Jade, a companion Korean village dog; (4,5, and 7) Kopi, a companion New Guinea singing dog; (6) Sugar, a companion Indian village dog. p values derived from linear logistic regression models (Table 1).

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Comparison between modern breed and premodern dogs for C-BARQ scores for trainability (A), overall fear (B), stranger-directed fear (C), dog-directed fear (D), and nonsocial fear (E). p values derived from linear regression models (Table 2).

Tables

  • Figures
  • Additional Files
    • View popup
    Table 1.

    Summary of linear regression models generated to test the relationship between C-BARQ behaviors and measure of amygdala and cortical expansion

    TrainabilityOverall fearStranger-directed fearDog-directed fearNonsocial fear
    Interceptp value2 × 10−161.5 × 10−078.4 × 10−112.81 × 10−52.9 × 10−13
    Estimate3.01.070.981.51.7
    SE0.0680.180.130.330.19
    t value44.06.07.94.54.5
    Amygdala expansionp value0.00161.25 × 10−70.0243.66 × 10−5
    Estimate1.82.42.42.7
    SE0.550.411.030.61
    t value3.36.02.34.5
    Cortex expansionp value0.00019
    Estimate2.06
    SE0.52
    t value4.0
    • Significant values (p < 0.05) are bolded.

    • View popup
    Table 2.

    Summary of linear regression models generated to test the relationship between C-BARQ behaviors and ancestry (modern breed vs premodern status)

    TrainabilityOverall fearStranger-directed fearDog-directed fearNonsocial fear
    Interceptp value2 × 10−19.98 × 10−070.00612.13 × 10−055.87 × 10−12
    Estimate2.040.450.220.670.88
    SE0.0700.0820.0770.150.25
    t value44.035.472.842.12.47
    Ancestryp value3.8 × 10−050.0230.0400.0410.0166
    Estimate−0.760.470.4040.760.63
    SE0.170.200.200.360.25
    t value−4.462.342.112.12.5
    • Significant values (p < 0.05) are bolded

Additional Files

  • Figures
  • Tables
  • Supplemental Material

    • JN-RM-2032-24-suppl.pdf
Back to top

In this issue

The Journal of Neuroscience: 45 (27)
Journal of Neuroscience
Vol. 45, Issue 27
2 Jul 2025
  • Table of Contents
  • About the Cover
  • Index by author
  • Masthead (PDF)
Email

Thank you for sharing this Journal of Neuroscience article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Brain–Behavior Differences in Premodern and Modern Lineages of Domestic Dogs
(Your Name) has forwarded a page to you from Journal of Neuroscience
(Your Name) thought you would be interested in this article in Journal of Neuroscience.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Citation Tools
Brain–Behavior Differences in Premodern and Modern Lineages of Domestic Dogs
Sophie A. Barton, Jeroen B. Smaers, James A. Serpell, Erin E. Hecht
Journal of Neuroscience 2 July 2025, 45 (27) e2032242025; DOI: 10.1523/JNEUROSCI.2032-24.2025

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Request Permissions
Share
Brain–Behavior Differences in Premodern and Modern Lineages of Domestic Dogs
Sophie A. Barton, Jeroen B. Smaers, James A. Serpell, Erin E. Hecht
Journal of Neuroscience 2 July 2025, 45 (27) e2032242025; DOI: 10.1523/JNEUROSCI.2032-24.2025
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • eLetters
  • Peer Review
  • PDF

Keywords

  • breed
  • canine
  • dog
  • domestication
  • evolution
  • neuroimaging

Responses to this article

Respond to this article

Jump to comment:

  • RE: Comment on Barton et al. (2025): Rethinking the “Premodern–Modern” Dichotomy in Canine Neuroanatomy
    Se Jin Jeon and Chan Young Shin
    Published on: 19 July 2025
  • Published on: (19 July 2025)
    Page navigation anchor for RE: Comment on Barton et al. (2025): Rethinking the “Premodern–Modern” Dichotomy in Canine Neuroanatomy
    RE: Comment on Barton et al. (2025): Rethinking the “Premodern–Modern” Dichotomy in Canine Neuroanatomy
    • Se Jin Jeon, Assistant Professor, Hallym University
    • Other Contributors:
      • Chan Young Shin

    Barton et al. (2025) present compelling evidence for structural brain differences between “premodern” and “modern” domestic dog lineages, with modern breeds showing cortical expansion associated with trainability, and premodern dogs exhibiting relatively larger subcortical regions, notably the amygdala, linked to fear-related behavior. This study offers important insights into the neurobiological correlates of breed-associated behavior.

    However, we urge caution in interpreting these findings through the lens of evolutionary chronology. The core classification of dogs into “modern” and “premodern” groups introduces conceptual ambiguity. The so-called premodern group includes a heterogeneous mix of ancient breeds, village dogs, and New Guinea Singing Dogs (NGSDs), which differ markedly in ecological exposure, socialization, and selection history. While the authors cite population genetic studies, ancient breeds such as Shiba Inus and Samoyeds have nonetheless undergone modern selective breeding and do not represent an evolutionary baseline.

    Conversely, the modern sample is heavily weighted toward working-line breeds selected for high trainability and cooperative behavior. Prior work by the same group (e.g., Hecht et al., 2019) has demonstrated that regional cortical volume correlates with trainability scores. Thus, the observed anatomical differences may reflect functional behavioral selection rather than broad evolutionary divergence. Notably, the study exclud...

    Show More

    Barton et al. (2025) present compelling evidence for structural brain differences between “premodern” and “modern” domestic dog lineages, with modern breeds showing cortical expansion associated with trainability, and premodern dogs exhibiting relatively larger subcortical regions, notably the amygdala, linked to fear-related behavior. This study offers important insights into the neurobiological correlates of breed-associated behavior.

    However, we urge caution in interpreting these findings through the lens of evolutionary chronology. The core classification of dogs into “modern” and “premodern” groups introduces conceptual ambiguity. The so-called premodern group includes a heterogeneous mix of ancient breeds, village dogs, and New Guinea Singing Dogs (NGSDs), which differ markedly in ecological exposure, socialization, and selection history. While the authors cite population genetic studies, ancient breeds such as Shiba Inus and Samoyeds have nonetheless undergone modern selective breeding and do not represent an evolutionary baseline.

    Conversely, the modern sample is heavily weighted toward working-line breeds selected for high trainability and cooperative behavior. Prior work by the same group (e.g., Hecht et al., 2019) has demonstrated that regional cortical volume correlates with trainability scores. Thus, the observed anatomical differences may reflect functional behavioral selection rather than broad evolutionary divergence. Notably, the study excludes low-trainability modern breeds (e.g., Bulldogs, Pugs), limiting the generalizability of cortical expansion as a feature of modernity per se.

    Moreover, although the authors acknowledge that experiential plasticity cannot fully account for their findings, the functional specialization of the modern sample introduces a confound. Without broader sampling across behavioral spectra, it remains difficult to disentangle the contributions of selection history, environmental experience, and heritable morphology.

    The evolutionary framing is also problematic. Terms such as “brain evolution,” “continued selection,” and the “premodern to modern transition” imply diachronic processes that are not directly assessed. All subjects in the study are contemporary dogs, and no fossil, archaeological, or longitudinal data are presented. While NGSDs may be genetically distinct, they are not temporally ancestral in any direct sense.

    We propose a revised framework that categorizes dogs along two continuous axes: (1) behavioral selection history (e.g., working, companion, free-breeding) and (2) quantitative trainability measures (e.g., C-BARQ scores). Such an approach would allow multivariate modeling of brain-behavior relationships that better distinguishes lineage from functional specialization.

    In sum, Barton et al.’s study makes a valuable contribution to canine neuroscience. Yet to avoid overextension of evolutionary claims, future work should employ terminology and sampling strategies that more precisely reflect the diversity of selection histories and behavioral phenotypes across dog populations.

    Show Less
    Competing Interests: None declared.

Related Articles

Cited By...

More in this TOC Section

Research Articles

  • Local neuronal ensembles that co-reactivate across regions during sleep are preferentially stabilized
  • Effects of short-term synaptic plasticity in feedforward inhibitory circuits on cerebellar responses to repetitive sensory input
  • A Novel Mouse Model for Developmental and Epileptic Encephalopathy by Purkinje Cell-Specific Deletion of Scn1b
Show more Research Articles

Behavioral/Cognitive

  • Local neuronal ensembles that co-reactivate across regions during sleep are preferentially stabilized
  • Behavioral Relevance of Early Neural Coding of Low-Level Odor Features in Humans
  • Prefrontal Default Mode Network Interactions with Posterior Hippocampus during Exploration
Show more Behavioral/Cognitive
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Issue Archive
  • Collections

Information

  • For Authors
  • For Advertisers
  • For the Media
  • For Subscribers

About

  • About the Journal
  • Editorial Board
  • Privacy Notice
  • Contact
  • Accessibility
(JNeurosci logo)
(SfN logo)

Copyright © 2025 by the Society for Neuroscience.
JNeurosci Online ISSN: 1529-2401

The ideas and opinions expressed in JNeurosci do not necessarily reflect those of SfN or the JNeurosci Editorial Board. Publication of an advertisement or other product mention in JNeurosci should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in JNeurosci.