Evidence map›Paper›PMID 36651180›Full record

ReviewJournal of the Royal Society, Interface2023

Neurodegenerative disease of the brain: a survey of interdisciplinary approaches.

Franca Davenport, John Gallacher, Zoe Kourtzi, Ivan Koychev, Paul M Matthews, Neil P Oxtoby, Laura M Parkes, Viola Priesemann, James B Rowe, Stephen W Smye and 1 more

Abstract readReview
In one paragraph

Review in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

11 authors.

Franca DavenportFreelance writer and King's College London, London, UK.
John GallacherDirector of Dementias Platform, Department of Psychiatry, University of Oxford, Oxford, UK.
Zoe KourtziProfessor of Cognitive Computational Neuroscience, Department of Psychology, University of Cambridge, UK.ORCID 0000-0001-9441-7832
Ivan KoychevSenior Clinical Researcher, Department of Psychiatry, University of Oxford, Oxford, UK.
Paul M MatthewsDepartment of Brain Sciences and UK Dementia Research Institute Centre, Imperial College London, Oxford, UK.
Neil P OxtobyUCL Centre for Medical Image Computing and Department of Computer Science, University College London, Gower Street, London, UK.
Laura M ParkesSchool of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
Viola PriesemannMax Planck Group Leader and Fellow of the Schiemann Kolleg, Max Planck Institute for Dynamics and Self-Organization and Bernstein Center for Computational Neuroscience, Göttingen, Germany.
James B RoweDepartment of Clinical Neurosciences, MRC Cognition and Brain Sciences Unit and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK.
Stephen W SmyeSchool of Medicine, University of Leeds, Leeds, UK.ORCID 0000-0003-4975-5220
Henrik ZetterbergDepartment of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.

Funding

Department of Health BRC-1215-20014Medical Research Council MC_U105597119Medical Research Council MC_UU_00005/12Medical Research Council MC_UU_00030/14Medical Research Council MR/L023784/2Medical Research Council MR/M008983/1Medical Research Council MR/P01271X/1Medical Research Council MR/S03546X/1Medical Research Council MR/T033371/1Medical Research Council MR/T046422/1Medical Research Council SUAG/051 G101400Wellcome TrustWellcome Trust 220258
6 · The paper itself

Abstract

Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with only limited progress made in developing effective therapies over the last decade. Interdisciplinary research is improving understanding of these diseases and this article reviews such approaches, with particular emphasis on tools and techniques drawn from physics, chemistry, artificial intelligence and psychology.

Indexed as

Artificial IntelligenceNeurodegenerative DiseasesBrainHumansbraindataimagingmodelsneurodegenerative diseasesphysics

Identifiers

PMID36651180
PMCPMC9846433

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.