Evidence map›Paper›PMID 29203849›Full record

ArticleMolecular psychiatry2018

An integrated brain-behavior model for working memory.

D A Moser, G E Doucet, A Ing, D Dima, G Schumann, R M Bilder, S Frangou

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Enhancing task fMRI individual difference research with neural signatures.medRxiv : the preprint server for health sciences · 2025
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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

7 authors at 4 institutions in 2 countries.

D A MoserDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
G E DoucetDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
A IngSocial, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neurosciences, King's College, London, UK.
D DimaDepartment of Psychology, City University of London, London, UK.
G SchumannSocial, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology and Neurosciences, King's College, London, UK.
R M BilderDepartment of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
S FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA. sophia.frangou@mssm.edu.
Icahn School of Medicine at Mount Sinai · USKing's College London · GBCity, University of London · GBUniversity of California, Los Angeles · US

Funding

Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Multi-Level Assays of Working Memory and PsychopathologyR01MH101478 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BILDER, ROBERT M · 2014 to 2018
$3.0M
Deconstructing Psychoses Based on Patterns of Abnormal Brain ActivityR01MH104284 · NIMH · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FRANGOU, SOPHIA · 2014 to 2017
$2.4M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
Department of HealthNIH HHS S10 OD018522NIMH NIH HHS R01 MH101478NIMH NIH HHS R01 MH104284NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

Working memory (WM) is a central construct in cognitive neuroscience because it comprises mechanisms of active information maintenance and cognitive control that underpin most complex cognitive behavior. Individual variation in WM has been associated with multiple behavioral and health features including demographic characteristics, cognitive and physical traits and lifestyle choices. In this context, we used sparse canonical correlation analyses (sCCAs) to determine the covariation between brain imaging metrics of WM-network activation and connectivity and nonimaging measures relating to sensorimotor processing, affective and nonaffective cognition, mental health and personality, physical health and lifestyle choices derived from 823 healthy participants derived from the Human Connectome Project. We conducted sCCAs at two levels: a global level, testing the overall association between the entire imaging and behavioral-health data sets; and a modular level, testing associations between subsets of the two data sets. The behavioral-health and neuroimaging data sets showed significant interdependency. Variables with positive correlation to the neuroimaging variate represented higher physical endurance and fluid intelligence as well as better function in multiple higher-order cognitive domains. Negatively correlated variables represented indicators of suboptimal cardiovascular and metabolic control and lifestyle choices such as alcohol and nicotine use. These results underscore the importance of accounting for behavioral-health factors in neuroimaging studies of WM and provide a neuroscience-informed framework for personalized and public health interventions to promote and maintain the integrity of the WM network.

Indexed as

AdultBrainCognitionComputer SimulationConnectomeData Interpretation, StatisticalFemaleHumansMagnetic Resonance ImagingMaleMemory, Short-TermNeuroimagingNeuropsychological Tests

Identifiers

PMID29203849
PMCPMC5988862
OpenAlexW2775671495

What OpenQuestion holds

Textmetadata
LicenceTDM
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.