Evidence map›Paper›PMID 35418341›Full record

ArticleNeurobiology of aging2022

Support vector machine learning and diffusion-derived structural networks predict amyloid quantity and cognition in adults with Down's syndrome.

Stephanie S G Brown, Elijah Mak, Isabel Clare, Monika Grigorova, Jessica Beresford-Webb, Madeline Walpert, Elizabeth Jones, Young T Hong, Tim D Fryer, Jonathan P Coles and 10 more

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

20 authors at 3 institutions in 2 countries.

Stephanie S G BrownCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK. Electronic address: sb2403@medschl.cam.ac.uk.
Elijah MakCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Isabel ClareCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Monika GrigorovaCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Jessica Beresford-WebbCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Madeline WalpertCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Elizabeth JonesCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Young T HongDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Tim D FryerDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Jonathan P ColesDepartment of Medicine, University of Cambridge, Cambridge, UK.
Franklin I AigbirhioDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Dana TudorascuDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Annie CohenDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
Bradley T ChristianWaisman Brain Imaging Laboratory, University of Wisconsin-Madison, Madison, WI, USA.
Benjamin L HandenDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
William E KlunkDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA.
David K MenonDepartment of Medicine, University of Cambridge, Cambridge, UK.
Peter J NestorDepartment of Medicine, University of Cambridge, Cambridge, UK.
Anthony J HollandCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
Shahid H ZamanCambridge Intellectual and Developmental Disabilities Research Group, Department of Psychiatry, University of Cambridge, Cambridge, UK.
University of Cambridge · GBUniversity of Pittsburgh · USUniversity of Wisconsin–Madison · US

Funding

Biomarkers of Alzheimer's Disease in Adults with Down SyndromeU01AG051412 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LOTT, IRA T., SCHUPF, NICOLE · 2015 to 2019
$26.3M
NiAD Supplement WashU Start UpU01AG051406 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HANDEN, BENJAMIN L, LAYMON, CHARLES · 2015 to 2019
$21.3M
Department of HealthMedical Research Council G1002252NIA NIH HHS U01 AG051406NIA NIH HHS U01 AG051412
6 · The paper itself

Abstract

Down's syndrome results from trisomy of chromosome 21, a genetic change which also confers a probable 100% risk for the development of Alzheimer's disease neuropathology (amyloid plaque and neurofibrillary tangle formation) in later life. We aimed to assess the effectiveness of diffusion-weighted imaging and connectomic modelling for predicting brain amyloid plaque burden, baseline cognition and longitudinal cognitive change using support vector regression. Ninety-five participants with Down's syndrome successfully completed a full Pittsburgh Compound B (PiB) PET-MR protocol and memory assessment at two timepoints. Our findings indicate that graph theory metrics of node degree and strength based on the structural connectome are effective predictors of global amyloid deposition. We also show that connection density of the structural network at baseline is a promising predictor of current cognitive performance. Directionality of effects were mainly significant reductions in the white matter connectivity in relation to both PiB

Indexed as

Alzheimer DiseaseAmyloidosisDown SyndromeAmyloidAmyloidogenic ProteinsBrainCognitionHumansPlaque, AmyloidSupport Vector MachineAmyloidAmyloidogenic ProteinsAlzheimer's diseaseAmyloidDementiaDiffusion MRIDown's syndromeMRI

Identifiers

PMID35418341
PMCPMC10327571
OpenAlexW4214937428

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.