ArticlePloS one2020
Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 18 citations in OpenAlex.
- Capturing sex differences in spontaneous autonomic fluctuations of resting heart rate using a similarity graph theory approach.Biology of sex differences · 2026Article
- Methylphenidate, Sleep, and the "Stimulant Paradox" in Adult ADHD: A Conceptual Framework for Integrating Chronopharmacotherapy and Coaching.Journal of clinical medicine · 2025Review
- OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD.Scientific data · 2025Article
- Objective assessment of motor activity in a clinical sample of adults with attention-deficit/hyperactivity disorder and/or cyclothymic temperament.BMC psychiatry · 2022Article
- Accurate Identification of ADHD among Adults Using Real-Time Activity Data.Brain sciences · 2022Article
- Complexity and variability analyses of motor activity distinguish mood states in bipolar disorder.PloS one · 2022Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Attention-deficit /hyperactivity disorder (ADHD) is a common neurodevelopmental syndrome characterized by age-inappropriate levels of motor activity, impulsivity and attention. The aim of the present study was to study diurnal variation of motor activity in adult ADHD patients, compared to healthy controls and clinical controls with mood and anxiety disorders. Wrist-worn actigraphs were used to record motor activity in a sample of 81 patients and 30 healthy controls. Time series from registrations in the morning and evening were analyzed using measures of variability, complexity and a newly developed method, the similarity algorithm, based on transforming time series into graphs. In healthy controls the evening registrations showed higher variability and lower complexity compared to morning registrations, however this was evident only in the female controls. In the two patient groups the same measures were not significantly different, with one exception, the graph measure bridges. This was the measure that most clearly separated morning and evening registrations and was significantly different both in healthy controls and in patients with a diagnosis of ADHD. These findings suggest that actigraph registrations, combined with mathematical methods based on graph theory, may be used to elucidate the mechanisms responsible for the diurnal regulation of motor activity.
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Registered trials
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