Evidence map›Paper›PMID 29520018›Full record

ArticleTranslational psychiatry2018

Lower cognitive control network connectivity in stroke participants with depressive features.

Natalia Egorova, Toby Cumming, Chris Shirbin, Michele Veldsman, Emilio Werden, Amy Brodtmann

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
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.

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, 2 syntheses or guidelines pooled it, 47 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

6 authors at 1 institution in 1 country.

Natalia EgorovaThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia. natalia.egorova@florey.edu.au.ORCID http://orcid.org/0000-0002-9244-2900
Toby CummingThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.
Chris ShirbinThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.
Michele VeldsmanThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.
Emilio WerdenThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia.
Amy BrodtmannThe Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia. agbrod@unimelb.edu.au.
Florey Institute of Neuroscience and Mental Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Around one-third of people develop depression following ischaemic stroke, yet the underlying mechanisms are poorly understood. Post-stroke depression has been linked to frontal infarcts, mainly lesions in the left dorsolateral prefrontal cortex (DLPFC). But depression is a network disorder that cannot be fully characterised through lesion-symptom mapping. Researchers of depression in non-stroke populations have successfully tapped into the cognitive control network (CCN) using the bilateral DLPFC as a seed, and found that CCN resting-state connectivity is reduced in even mildly depressed subjects, compared to healthy controls. Hence, we aimed to investigate the association between post-stroke depressive features and the CCN resting-state connectivity in a stroke population. We analysed DLPFC resting-state connectivity in 64 stroke participants, 20 of whom showed depressive features assessed with the Patient Health Questionnaire (PHQ-9) at 3 months after stroke. We directly compared groups showing symptoms of depression with those who did not, and performed a regression with PHQ-9 scores in all participants, controlling for age, gender, lesion volume and stroke severity. Post-stroke depression was associated with lower connectivity between the left DLPFC and the right supramarginal gyrus (SMG) in both group and regression analyses. Neither the seed nor the results overlapped with stroke lesions. These findings confirm an important role of the left DLPFC in post-stroke depression, but now show that large-scale network disruptions following stroke associated with depressive features occur without lesions in the DLPFC.

Indexed as

AgedAged, 80 and overBrain IschemiaConnectomeDepressionExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetParietal LobePrefrontal CortexStroke

Identifiers

PMID29520018
PMCPMC5843603
OpenAlexW2768056568

What OpenQuestion 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 OpenQuestion graph.