Evidence map›Paper›PMID 41039478›Full record

ArticleBMC veterinary research2025

Diffusion tensor imaging analysis of aged dogs with and without canine cognitive dysfunction.

Jamie Henry, Masayasu Ukai, Markos Antonakakis, Tianjian Zhou, Julie A Moreno, Agnieszka Z Burzynska, Stephanie McGrath

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Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jamie HenryDepartment of Clinical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Masayasu UkaiDepartment of Clinical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Markos AntonakakisDepartment of Clinical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Tianjian ZhouDepartment of Statistics, Colorado State University, Fort Collins, CO, 80523, USA.
Julie A MorenoDepartment of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Agnieszka Z BurzynskaDepartment of Human Development and Family Studies, Colorado State University, Fort Collins, CO, 80523, USA.
Stephanie McGrathDepartment of Clinical Sciences, Colorado State University, Fort Collins, CO, 80523, USA. stephanie.mcgrath@colostate.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCanine cognitive dysfunction (CCD) is a naturally occurring disease in aged dogs that shares behavioral and pathological similarities with Alzheimer's disease (AD). Despite this, in vivo imaging of CCD has been limited, and to our knowledge, no studies have investigated the use of diffusion tensor imaging (DTI) to assess brain atrophy in this condition. The primary aim of this study was to determine whether DTI could detect differences in white matter microstructure between aged dogs with CCD and cognitively healthy aged dogs. A secondary aim was to evaluate correlations between DTI parameters and cognitive scores derived from the Canine Dementia Scale (CADES). We hypothesized that dogs with CCD would show lower fractional anisotropy (FA) and higher mean diffusivity (MD), axial diffusivity (AxD), and radial diffusivity (RD) in the corpus callosum (CC) and thalamus. We further hypothesized that these changes would correlate with cognitive dysfunction severity.

resultsDTI revealed significant differences in white matter diffusivity between CCD and cognitively healthy aged dogs. Dogs with CCD had higher MD in the thalamus compared to healthy controls (CCD: 0.00063 mm

conclusionsThese results demonstrate that DTI can detect changes in white matter integrity in the canine brain in both CCD and cognitively healthy aged dogs. Our findings suggest that axonal degeneration, as reflected by increased MD and RD values, correlates with worsening cognitive impairment. These patterns align with findings reported in Alzheimer's disease and support the potential use of DTI to monitor neuropathological progression in dogs with CCD. Overall, our results highlight the utility of DTI in characterizing structural brain changes associated with CCD and reinforce the translational relevance of CCD as a model for AD. Further research is required to determine whether DTI can reliably differentiate CCD from normal aging in clinical settings.

Indexed as

AgingCognitive DysfunctionDiffusion Tensor ImagingDog DiseasesAnimalsBrainDogsFemaleMaleWhite MatterAgingCognitive agingCognitive dysfunctionDementiaDiffusion imagingDiffusion tensor imaging

Identifiers

PMID41039478
PMCPMC12492749

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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.