A5084337429- Cognitive Functions and Memory
- Dementia and Cognitive Impairment Research
- Digital Mental Health Interventions
- Mental Health Research Topics
- Neurobiology of Language and Bilingualism
- Technology Use by Older Adults
- Memory Processes and Influences
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- COVID-19 and Mental Health
- Sleep and related disorders
- Behavioral Health and Interventions
- Assistive Technology in Communication and Mobility
- Phonocardiography and Auscultation Techniques
- Balance, Gait, and Falls Prevention
- Intelligent Tutoring Systems and Adaptive Learning
- Age of Information Optimization
- Telemedicine and Telehealth Implementation
- Health, Environment, Cognitive Aging
- Identity, Memory, and Therapy
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Memory and Neural Mechanisms
- Psychosomatic Disorders and Their Treatments
- Heart Rate Variability and Autonomic Control
- Sleep and Work-Related Fatigue
Cambridge Cognition (United Kingdom)
2016-2024
Newcastle University
2023
Cognition Therapeutics (United States)
2022
Background Cognitive symptoms are common in major depressive disorder and may help to identify patients who need treatment or not experiencing adequate response. Digital tools providing real-time data assessing cognitive function could support patient remediation of mood symptoms. Objective The aim this study was examine feasibility validity a wearable high-frequency assessment app over 6 weeks, corresponding when antidepressant pharmacotherapy begins show efficacy. Methods A total 30 (aged...
Digital measures offer an unparalleled opportunity to create a more holistic picture of how people who are patients behave in their real-world environments, thereby establishing better connection between patients, caregivers, and the clinical evidence used drive drug development disease management. Reaching this vision will require achieving new level co-creation stakeholders design, develop, use, make decisions using from digital measures.In September 2022, second series meetings hosted by...
Summary Sleep deprivation and poor sleep quality are significant societal challenges that negatively impact individuals' health. The interaction between subjective quality, objective measures, physical cognitive performance, their day‐to‐day variations remains poorly understood. Our year‐long study of 20 healthy individuals, using subcutaneous electroencephalography, aimed to elucidate these interactions, assessing data stability participant satisfaction, usability, well‐being adherence. In...
Several app-based studies share similar characteristics of a light touch approach that recruit, enroll, and onboard via smartphone app attempt to minimize burden through low-friction active study tasks while emphasizing the collection passive data with minimal human contact. However, engagement is common challenge across these studies, reporting low retention adherence.This aims describe an alternative digital health involved participant-centric design including high friction assessments,...
The ability of remote research tools to collect granular, high-frequency data on symptoms and digital biomarkers is an important strength because it circumvents many limitations traditional clinical trials improves the capture clinically relevant data. This approach allows researchers more robust baselines derive novel phenotypes for improved precision in diagnosis accuracy outcomes. process developing these however complex need be collected at a frequency that meaningful but not burdensome...
Despite the functional impact of cognitive deficit in people with psychosis, objective assessment is not typically part routine clinical care. This partly due to length traditional assessments and need for a highly trained administrator. Brief, automated computerised could help address this issue. We present data from an evaluation PsyCog, computerised, non-verbal, mini battery tests. Healthy Control (HC) (N = 135), Clinical High Risk (CHR) 233), First Episode Psychosis (FEP) 301)...
Clinical and research assessments of cognition, mood behaviour provide validated snapshots functioning at specific time points. However, depression mild cognitive impairment exhibit fluctuations which are challenging to quantify, but impact on quality life ability perform daily tasks. The identification these has the potential ecologically relevant outcomes for clinical research, complementing infrequent laboratory or in clinic measures. Sensor technology, embedded into wearable mobile...
More sensitive and less burdensome efficacy end points are urgently needed to improve the effectiveness of clinical drug development for Alzheimer disease (AD). Although conventional lack sensitivity, digital technologies hold promise amplifying detection treatment signals capturing cognitive anomalies at earlier stages. Using combining several test modalities allow collection richer information about functional status, which is not ascertainable via paper-and-pencil tests.
Cognitive symptoms are an underrecognized aspect of depression that often untreated. High-frequency cognitive assessment holds promise for improving disease and treatment monitoring. Although we have previously found it feasible to remotely assess cognition mood in this capacity, further work is needed ascertain the optimal methodology implement synthesize these techniques.
Unsupervised web-based cognitive assessment could widen and refine recruitment into clinical trials while reducing costs. However, challenges to reliability exist which are not present in supervised testing. We were interested establishing: 1) the comparability of testing 2) The development measures related participant compliance engagement. Six hundred participants between 18 70 recruited for online testing, matched 94 assessed a setting on age gender. Participants completed an adaptive...
Abstract Introduction Sleep quality is fundamental to our somatic and mental health. However, the relationship between subjective sleep architecture remains poorly understood. New wearable or minimally invasive technologies facilitate recording of electroencephalography (EEG) with lower spatial resolution than standard EEG but much greater longitudinal dispersion. This enables investigation day-to-day variation in measured directly EEG. study will compare EEG-derived parameters covariates...
Introduction Biomarkers of mental effort may help to identify subtle cognitive impairments in the absence task performance deficits. Here, we aim detect on a verbal task, using automated voice analysis and machine learning. Methods Audio data from digit span backwards were recorded scored with speech recognition online platform NeuroVocalix TM , yielding usable 2,764 healthy adults (1,022 male, 1,742 female; mean age 31.4 years). Acoustic features aggregated across each trial normalized...
Abstract Background Learning over repeated exposures (LORE) is an emerging paradigm that has shown sensitivity to AD biomarkers in apparently cognitively unimpaired (CU) samples using visual stimuli. We present results of a six‐month study CU sample explored brief (<2 minute) assessment verbal LORE alongside other measures memory and sleep. Method The Prolific platform was used recruit 190 participants. In baseline session we obtained measure sleepiness (Karolinska Sleepiness Scale),...
Cognitive load is the mental demand a task imposes for specific person. Performance declines when exceed capacity; therefore, increase of effort may precede measurable cognitive decline. Physiological indices (e.g. heart rate, skin conductance etc.) are sensitive to subtracting three vs seven), show increased with ageing, and in MCI compared healthy ageing. Voice features have promise as non-invasive scalable indicators effort. Here, we aim classify serial subtraction at high low using voice...
Speech is a complex and uniquely human behaviour including both motor cognitive components. Neurological neurodegenerative diseases impact on different aspects of speech language. response modality in large number established tests tapping non-language cognition episodic memory, working memory executive function. In clinical studies, accuracy consistency scoring administration are still problematic; computerised batteries such as CANTAB can eliminate this source error by automating test...
<sec> <title>BACKGROUND</title> Cognitive symptoms are common in major depressive disorder, and may help to identify patients that need treatment or who not experiencing adequate response. Digital tools provide real time data assessing cognitive function could support remediation of mood symptoms. </sec> <title>OBJECTIVE</title> This study examined adherence, feasibility, validity a wearable high-frequency assessment app over 6 weeks, corresponding when antidepressant pharmacotherapy begins...
Abstract Background In Alzheimer’s disease (AD) both motor and cognitive domains are impaired [1‐2]. However, these usually assessed independently even when performing dual‐task (DT) paradigms, the cognitive‐motor interaction (CMI) is not taken into account, which may lead to misinterpretation of patient’s global state. To date, there no precise markers detect subtle signs pre‐clinical neurodegeneration or accurately monitor progression. Method We have evaluated components a DT paradigm...
Introduction:Cognitive impairment is increasingly considered a target for intervention in psychiatric conditions.Online cognitive testing may provide cost-effective screening and assessment.There is, however, legitimate concern regarding reliability validity of unsupervised testing.In this study we compare performance laboratory setting to that obtained through remote online testing.We were interested in: 1) identifying markers inattention behaviour based on benchmarking 2) comparing...
<sec> <title>BACKGROUND</title> Cognitive symptoms are an underrecognized aspect of depression that often untreated. High-frequency cognitive assessment holds promise for improving disease and treatment monitoring. Although we have previously found it feasible to remotely assess cognition mood in this capacity, further work is needed ascertain the optimal methodology implement synthesize these techniques. </sec> <title>OBJECTIVE</title> The objective study was examine (1) longitudinal...
Abstract Background In Alzheimer’s disease (AD) both motor and cognitive domains are impaired [1‐2]. However, these usually assessed independently, even when performing dual‐task (DT) paradigms, the cognitive‐motor interaction (CMI) is not taken into account which may lead to misinterpretation of patient’s global state. To date, there no precise markers neither detect subtle signs pre‐clinical neurodegeneration nor accurately monitor progression. Method We have evaluated components a DT...
Taken together, n-of-1 study design, wearable sensors and smartphone apps, causal analysis have the potential to revolutionize drug development patient care. In this feasibility we utilized caffeine as a model of symptomatic treatment test its influence on cognitive function while measuring various objective subjective measures such sleep, physical activity vital signs, feeling tiredness mood by using two devices apps. The results illustrate importance holistic approach measure impact...
Abstract Background The current study examined the test‐retest reliability of a newly developed Learning Over Repeat Exposures (LORE) paradigm using Verbal Paired‐Associates. This LORE involves acquisition set 8 verbal paired associates over 5‐day “burst”. In this investigation, two bursts, separated by nine‐month interval, were compared to assess stability novel learning outcome measures, such as slope (between day 1 and max performance) first overnight forgetting. Method An...