47 results for "Dementia" · page 1 of 5 · ranked by relevance
…Concerning the AD groups, no dementia-related comorbidities have been reported. The…
…Alzheimer's disease, Frontotemporal dementia and Healthy subjects” with doi:10.18112…
…aged people at risk of dementia. Sci Data 11, 276 (2024). DOI…
…namely neurological diseases (such as dementia, Parkinson disease, or stroke); cardiovascular, oncological…
…group of elderly suffering from dementia. Recently, gamma entrainment has been proposed…
This dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
FOODEEG is an open dataset of electroencephalographic (EEG) and behavioural responses to food images from 117 participants across two testing sessions. Session 1 involved a food categorisation task with continuous EEG recording, while Session 2 comprised a food go/no-go task and a food paired choice task, along with questionnaires on dietary style and eating motivations. The dataset also includes normative ratings on 22 food attributes collected from an independent online sample (N = 624), providing a rich resource for studying neural and behavioural correlates of food-related decision-making.
…MMSE) (Folstein et al., 1975), Dementia Rating Scale (DRS) (Mattis, 1988), Wechsler…
This dataset comprises EEG recordings from 127 young adults (18-30 years) collected to investigate links between childhood and adulthood socioeconomic status (SES) and cognitive electrophysiology. EEG tasks were derived from the ERP CORE resource and adapted to capture neural activity related to perception, cognition, and action. The dataset also includes retrospective and current SES indicators, and an ADHD symptoms checklist, enabling investigation of relationships between socioeconomic diversity, ADHD symptoms, and neural activity.
This dataset contains EEG recordings from 127 young adults (18-30 years) collected alongside measures of childhood and adulthood socioeconomic status (SES), including educational attainment, income, food security, and neighborhood characteristics. EEG tasks were drawn from or adapted from the ERP CORE resource, designed to elicit neural activity related to perception, cognition, and action. The dataset also includes an ADHD symptoms checklist, enabling investigation of relationships between SES, ADHD symptoms, and neural activity in a socioeconomically diverse adult sample.