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Citizen science allows the public to participate in various stages of scientific research, including study design, data acquisition, and data analysis. Citizen science has a long history in several fields of the natural sciences, and with recent developments in wearable technology, neuroscience has also become more accessible to citizen scientists. This development was largely driven by the influx of minimal sensing systems in the consumer market, allowing more do-it-yourself (DIY) and quantified-self (QS) investigations of the human brain. While most subfields of neuroscience require sophisticated monitoring devices and laboratories, the study of sleep characteristics can be performed at home with relevant noninvasive consumer devices. The strong influence of sleep quality on waking life and the accessibility of devices to measure sleep are two primary reasons citizen scientists have widely embraced sleep research. Their involvement has evolved from solely contributing to data collection to engaging in more collaborative or autonomous approaches, such as instigating ideas, formulating research inquiries, designing research protocols and methodology, acting upon their findings, and disseminating results. In this article, we introduce the emerging field of citizen neuroscience, illustrating examples of such projects in sleep research. We then provide overviews of the wearable technologies for tracking human neurophysiology and various open-source software used to analyse them. Finally, we discuss the opportunities and challenges in citizen neuroscience projects and suggest how to improve the study of the human brain outside the laboratory.
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http://dx.doi.org/10.1111/ejn.16227 | DOI Listing |
Seizure
August 2025
Department of Clinical Neuroscience and Therapeutics, Hiroshima University, Graduate School of Biomedical and Health Sciences, 1-2-3 Kasumi, Minami-ku, Hiroshima 734-8551, Japan; Epilepsy Center, Hiroshima University Hospital, Japan.
Objectives: To develop a multidimensional predictive model for emergency hospitalization due to recurrent epileptic seizures, aiming to reduce the burden on healthcare systems and improve patient outcomes through timely interventions and individualized support.
Methods: We conducted retrospective and prospective multicenter derivation-validation cohort studies (n = 230 and 505, respectively). The derivation cohort, comprising patients retrospectively assessed between 2019 and 2020 at a single epilepsy center, was used to analyze clinical, social, and psychological factors associated with seizure worsening.
Front Public Health
July 2025
Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Mental Health and Neuroscience Research Institute (MHeNs), Maastricht University, Maastricht, Netherlands.
Background: The opportunities of health and happiness are unequally distributed. Multiple triggers lead to social exclusion and can result in homelessness. Efforts are still failing to counter health inequity.
View Article and Find Full Text PDFNPP Digit Psychiatry Neurosci
July 2025
UCLA Center for Cannabis and Cannabinoids, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA USA.
Healthy individuals that use cannabis are at greater risk of developing mental health conditions than those that do not use cannabis. Here, using mobile electroencephalography (EEG) in controlled laboratory settings, we examined two putative biomarkers of mental health across two studies of people who use cannabis ( = 100, 50% male; = 40, 60% male). We examined associations to cannabis use and mood and assessed the influence of sex and age on the outcomes.
View Article and Find Full Text PDFJ Psychopharmacol
September 2025
Department of Brain Sciences, Imperial College London, London, UK.
Background: Mental health implications of COVID-19 drug use patterns are still unclear.
Methods: We used data-driven clustering in a large citizen science cohort recruited agnostically to an interest in drug-use to categorise people according to common patterns of drug use and analysed their mental health symptoms (GAD-7 and PHQ-9 items), from recruitment prior to COVID-19 restrictions in 2020 ( = 242,260) to three follow-ups in 2020-2022 ( = 68,416). Mixed effects modelling examined how mental health scores related to drug-use clusters cross-sectionally and how changes in those scores longitudinally related to changes in consumption frequencies.
JMIR Res Protoc
August 2025
Breast Unit, Healthcare Trust of the Autonomous Province of Trento (APSS), Trento, Italy.
Background: Emerging digital tools play an innovative and key role in supporting women's psychological well-being throughout the different stages and challenges of cancer. The development and adoption of digital interventions, including chatbots and virtual coaches within smartphone apps, are increasingly recognized as valuable resources for enhancing women's mental health.
Objective: The aim of this paper is to present the research protocol for a pilot study designed as a proof-of-concept investigation.