Family dogs exhibit neuropsychological deficits similar to attention-deficit/hyperactivity disorder (ADHD) symptoms in humans. Questionnaire methods have mostly been used to assess ADHD-like behaviours in dogs. In addition to our validated questionnaire (Dog ADHD and Functionality Rating Scale–DAFRS; 2024), we developed a simple behavioural test battery covering the ADHD symptom domains (i.e., inattention, hyperactivity, and impulsivity) in dogs. Our main aim was (i) to provide a final external validation step to the DAFRS by examining its associations with the test variables (N = 59); and (ii) to compare owner- and trainer-rated factor scores’ associations with the test variables (n = 38). We developed four tests covering the ADHD symptom domains: the attention test (inattention), the plush dog test (impulsivity), the leash test, and the sit test (hyperactivity). All four behavioural variables correlated with their respective questionnaire scores, i.e., the strongest for hyperactivity, and the least strong for inattention. Both owner- and trainer-rated scores (n = 38) correlated with the relevant test variables in an expected direction. Dogs’ training status was linked only to the sit test results. Test–retest analyses (n = 34) indicated moderate-to-excellent agreement across all behavioural variables. Our findings support the validity of our novel human-analogue questionnaire for dogs as the behavioural tests strongly correlate with the relevant questionnaire scores, indicating that the two constructs together can effectively assess inattention, hyperactivity, and impulsivity in dogs.

The family dog is a valid model for studying complex human functions and psychological disorders such as Attention-Deficit/Hyperactivity Disorder (ADHD). Based on prior human research indicating impairments in cognitive flexibility related to ADHD, this study investigates the association between dogs’ ADHD-like traits and reversal learning performance. Since sleep improves learning both in humans and dogs, we also examined its impact in this context. Family dogs (N = 64) completed a two-way choice spatial reversal learning task, followed by a one-hour non-invasive sleep electroencephalography (EEG), and then a second reversal task. We used a validated human analogue questionnaire to assess ADHD. Dogs with higher ADHD scores required more trials to pass the first reversal test, but not after sleep. Electrode application was slower and sleep measurement more likely to fail in dogs with higher ADHD scores. Performance improved more from pre- to post-sleep in high-ADHD dogs if they spent at least 40% of the recording asleep. Our findings align with the human literature showing associations between ADHD and cognitive flexibility in dogs. The main novelty here is the ADHD-related potential benefits of repeated task exposure after sufficient sleep on cognitive flexibility. Cognitive training offers a promising direction to mitigate ADHD-related impairments in dogs.