Evidence map›Paper›PMID 28756237›Full record

ArticleNeuroImage2017

Distinct resting-state functional connections associated with episodic and visuospatial memory in older adults.

Sana Suri, Anya Topiwala, Nicola Filippini, Enikő Zsoldos, Abda Mahmood, Claire E Sexton, Archana Singh-Manoux, Mika Kivimäki, Clare E Mackay, Stephen Smith and 1 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03335696 (Predicting MRI Abnormalities With Longitudinal Data of the Whitehall II Substudy), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.7field-weighted citation impact, top 16% 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.

NCT03335696 completednot on this map

Predicting MRI Abnormalities With Longitudinal Data of the Whitehall II Substudy

TypeobservationalSponsorUniversity of OxfordRan2012 to 2017Enrolled800ConditionsCognitive Impairment, Dementia, Affective Disorders
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 34 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

11 authors at 3 institutions in 2 countries.

Sana SuriDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom. Electronic address: sana.suri@psych.ox.ac.uk.
Anya TopiwalaDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
Nicola FilippiniDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
Enikő ZsoldosDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
Abda MahmoodDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
Claire E SextonDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
Archana Singh-ManouxCentre for Research in Epidemiology and Population Health, INSERM, U1018, Villejuif, France.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, UK.
Clare E MackayDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
Stephen SmithFunctional Magnetic Resonance Imaging of the Brain Centre, University of Oxford, Oxford, OX3 9DU, United Kingdom.
Klaus P EbmeierDepartment of Psychiatry, University of Oxford, Oxford, OX3 7JX, United Kingdom.
University of Oxford · GBCentre de recherche en Epidémiologie et Santé des Populations · FRUniversity College London · GB

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
Medical Research Council G1001354Medical Research Council K013351Medical Research Council MC_EX_MR/N50192X/1Medical Research Council MR/L023784/1Medical Research Council MR/L023784/2Medical Research Council MR/M024962/1NIA NIH HHS R01 AG013196NIA NIH HHS R01 AG034454NIA NIH HHS R01 AG056477Wellcome Trust 098369/Z/12/ZWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

Episodic and spatial memory are commonly impaired in ageing and Alzheimer's disease. Volumetric and task-based functional magnetic resonance imaging (fMRI) studies suggest a preferential involvement of the medial temporal lobe (MTL), particularly the hippocampus, in episodic and spatial memory processing. The present study examined how these two memory types were related in terms of their associated resting-state functional architecture. 3T multiband resting state fMRI scans from 497 participants (60-82 years old) of the cross-sectional Whitehall II Imaging sub-study were analysed using an unbiased, data-driven network-modelling technique (FSLNets). Factor analysis was performed on the cognitive battery; the Hopkins Verbal Learning test and Rey-Osterreith Complex Figure test factors were used to assess verbal and visuospatial memory respectively. We present a map of the macroscopic functional connectome for the Whitehall II Imaging sub-study, comprising 58 functionally distinct nodes clustered into five major resting-state networks. Within this map we identified distinct functional connections associated with verbal and visuospatial memory. Functional anticorrelation between the hippocampal formation and the frontal pole was significantly associated with better verbal memory in an age-dependent manner. In contrast, hippocampus-motor and parietal-motor functional connections were associated with visuospatial memory independently of age. These relationships were not driven by grey matter volume and were unique to the respective memory domain. Our findings provide new insights into current models of brain-behaviour interactions, and suggest that while both episodic and visuospatial memory engage MTL nodes of the default mode network, the two memory domains differ in terms of the associated functional connections between the MTL and other resting-state brain networks.

Indexed as

Memory, EpisodicAgedAged, 80 and overBrainCross-Sectional StudiesFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysRestSpatial MemoryConnectomicsHippocampusNetwork modellingResting-state fMRIVerbal memoryVisuospatial memory

Identifiers

PMID28756237
PMCPMC5678287
OpenAlexW2737458780

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.