Evidence map›Paper›PMID 30121086›Full record

ArticleAlzheimer's research & therapy2018

Cerebrovascular disease influences functional and structural network connectivity in patients with amnestic mild cognitive impairment and Alzheimer's disease.

Ashwati Vipin, Yng Miin Loke, Siwei Liu, Saima Hilal, Hee Youn Shim, Xin Xu, Boon Yeow Tan, Narayanaswamy Venketasubramanian, Christopher Li-Hsian Chen, Juan Zhou

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 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

10 authors at 4 institutions in 1 country.

Ashwati VipinCentre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Yng Miin LokeCentre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Siwei LiuCentre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Saima HilalDepartment of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, Singapore.
Hee Youn ShimCentre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore.
Xin XuDepartment of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, Singapore.
Boon Yeow TanSt. Luke's Hospital, Singapore, Singapore.
Narayanaswamy VenketasubramanianRaffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore.
Christopher Li-Hsian ChenDepartment of Pharmacology, Clinical Research Centre, National University Health System, National University of Singapore, Singapore, Singapore.
Juan ZhouCentre for Cognitive Neuroscience, Neuroscience and Behavioural Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore. helen.zhou@duke-nus.edu.sg.ORCID 0000-0002-0180-8648
National University of Singapore · SGAgency for Science, Technology and Research · SGRaffles Institution · SGSt Luke's Hospital · SG

Funding

Biomedical Research Council Singapore BMRC 04/1/36/372Ministry of Health -Singapore (SG) Duke-NUS Medical School Signature Research ProgramNational Medical Research Council NMRC/CG/NUHS/2010National Medical Research Council NMRC/CIRG/1390/2014National Medical Research Council (SG) NMRC/CG/013/2013
6 · The paper itself

Abstract

backgroundPatients with amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) show functional and structural connectivity alterations in the default mode network (DMN) while cerebrovascular disease (CeVD) shows functional and structural connectivity changes in the executive control network (ECN). Such disruptions are associated with memory and executive function impairment, respectively. Concurrent AD and CeVD pathology is associated with a higher rate of cognitive decline and differential neurodegenerative patterns. Together, such findings are likely reflective of different underlying pathology in AD with and without CeVD. However, few studies have examined the effect of CeVD on network functional connectivity (task-free functional magnetic resonance imaging (fMRI)) and structural connectivity (diffusion MRI) of the DMN and ECN in aMCI and AD using a hypothesis-driven multiple seed-based approach.

methodsWe examined functional and structural connectivity network changes in 39 aMCI, 50 aMCI+CeVD, 47 AD, 47 AD+CeVD, and 65 healthy controls (HCs) and their associations with cognitive impairment in the executive/attention and memory domains.

resultsWe demonstrate divergent DMN and ECN functional connectivity changes in CeVD and non-CeVD subjects. Compared with controls, intra-DMN hippocampal functional connectivity reductions were observed in both AD and AD+CeVD, while intra-DMN parietal and medial prefrontal-parietal functional connectivity was higher in AD+CeVD and aMCI+CeVD, but lower in AD. Intra-ECN frontal functional connectivity increases and fronto-parietal functional connectivity decreases occurred in CeVD but not non-CeVD subjects. Such functional connectivity alterations were related with cognitive impairment in a dissociative manner: intra-DMN functional connectivity changes were associated with worse cognition primarily in non-CeVD groups, while intra-ECN functional connectivity changes were associated with worse cognition primarily in CeVD groups. Additionally, CeVD and non-CeVD groups showed overlapping and distinct alterations in inter-network DMN-ECN functional connectivity depending on disease severity. In contrast to functional connectivity, CeVD groups had greater network structural connectivity damage compared with non-CeVD groups in both aMCI and AD patients. Network structural connectivity damage was associated with worse cognition.

conclusionsWe demonstrate differential functional and structural network changes between aMCI and AD patients with and without CeVD through diverging and deleterious network-based degeneration underlying domain-specific cognitive impairment.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseBrainBrain MappingCerebrovascular DisordersChi-Square DistributionCognitive DysfunctionFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMental Status ScheduleMiddle AgedModels, NeurologicalOxygenAlzheimer’s diseaseCerebrovascular diseaseDiffusion tensor imagingFunctional connectivityNetworkNeurodegenerationStructural connectivity

Identifiers

PMID30121086
PMCPMC6098837
OpenAlexW2887458865

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.