Evidence map›Paper›PMID 42434375›Full record

ArticleFrontiers in digital health2026

A real-world feasibility study: at home longitudinal use of the Cumulus NeuLogiq® platform for electrophysiological and neurocognitive measures in patients with mild Alzheimer's Disease dementia.

Shannon Diggin, Laura Rueda-Delgado, Alison Buick, John F Dyer, Azar Alexander-Sefre, Florentine Barbey, James B Rowe, Kinan Muhammed, Brian T Harel, Bryan J Hansen and 19 more

Abstract read
In one paragraph

Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Shannon Diggin *Cumulus Neuroscience Ltd., Belfast, United Kingdom.
Laura Rueda-Delgado *Cumulus Neuroscience Ltd., Dublin, Ireland.
Alison BuickCumulus Neuroscience Ltd., Belfast, United Kingdom.
John F DyerCumulus Neuroscience Ltd., Belfast, United Kingdom.
Azar Alexander-SefreCumulus Neuroscience Ltd., Belfast, United Kingdom.
Florentine BarbeyCumulus Neuroscience Ltd., Dublin, Ireland.
James B RoweDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Kinan MuhammedNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Brian T HarelNeuroscience Translational Medicine, Takeda Pharmaceuticals, Cambridge, MA, United States.
Bryan J HansenJanssen Research & Development, LLC, a Johnson & Johnson Company, Pennsylvania, PA, United States.
Elizabeth TunbridgeCNS Diseases Research, Boehringer Ingelheim, Biberach, Germany.
Robert LaiGSK, Stevenage, United Kingdom.
David J HawellekPharma Research and Early Development (pRED), Hoffmann-La Roche Ltd., Basel, Switzerland.
Ann Marie HakeEli Lilly and Company, Indianapolis, IN, United States.
Hugh MarstonCNS Diseases Research, Boehringer Ingelheim, Biberach, Germany.
Ashwini OswalNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Elizabeth CoulthardBristol Medical School, University of Bristol, Bristol, United Kingdom.
Vivek PattanNHS Forth Valley, Scotland, United Kingdom.
Victoria EvansRe:Cognition Health, Plymouth, Devon, United Kingdom.
Stuart GibsonNHS Forth Valley, Scotland, United Kingdom.
Christopher KippsDepartment of Neurology, Wessex Neurological Centre, Southampton, United Kingdom.
Rouba KozakNeuroscience Translational Medicine, Takeda Pharmaceuticals, Cambridge, MA, United States.
Nick ManneringRe:Cognition Health, Plymouth, Devon, United Kingdom.
Mark MossBiogen Inc., Cambridge, MA, United States.
Viet NguyenDepartment of Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, United States.
Kenneth RuddockNHS Forth Valley, Scotland, United Kingdom.
Leslie A ShinobuNeuro TRC, Bristol Myers Squibb, Cambridge, MA, United States.
Sofia TonioloNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Brian MurphyCumulus Neuroscience Ltd., Dublin, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dementias, including those caused by Alzheimer's Disease (AD), are a leading global cause of death, necessitating improvements in early detection and development of more effective disease-modifying therapies. Well-validated pen-and-paper measures serve as the primary method used for cognitive assessment in research and clinical trials in AD. However, these suffer from rater error, infrequent "snapshot" bias, and have limited sensitivity to early-stage pathology, which presents challenges for measuring efficacy in prevention trials. Recent technological advances offer the potential to measure subtle cognitive changes and account for day-to-day variability through real-world data collection. The Cumulus Neuroscience NeuLogiq® platform ("the platform"), is comprised of a wireless electroencephalography (EEG) headset, tablet-based cognitive tasks based on well-established paradigms which were designed to be user-friendly based on patient panel inputs, third party integrations (mood, speech and sleep assessments) and cloud-based analytics. This platform has demonstrated utility in healthy populations and may enable objective, frequent, and patient-centered disease tracking in AD and other CNS disorders. Methods: This paper presents findings from a 52-week study involving individuals with mild AD dementia and healthy controls. Analyses focus on usability (e.g., ease of use ratings and reported technical issues) and feasibility (e.g., adherence; withdrawal rates) of using the platform, unsupervised, in the real-world at home setting and exploring how baseline cognitive status and demographic factors impact platform usability. Results: Longitudinal study data after 12 months offer valuable insights into the feasibility of the platform for patients with mild AD enrolled in long-term studies, such as clinical trials. The participants' high adherence to the protocol underscores the practicality of utilizing the platform in this context. Although participants with dementia reported lower confidence levels (31.6%, N = 18) and encountered some minor technical challenges during the initial home setup (accounting for 16.1% of issues reported in Stage 1), they nonetheless demonstrated strong engagement, achieving an overall adherence rate of 77% across the 52-week study protocol. Discussion: This demonstrates that even participants with dementia remain able and willing to use the EEG headset and complete tablet-based cognitive tasks over a year, from the comfort of their homes.

Indexed as

Alzheimer's diseaseat home monitoringdigital biomarkersfeasibilityusability

Identifiers

PMID42434375
PMCPMC13353088

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.