Evidence map›Paper›PMID 24006234›Full record

ArticleInternational journal of geriatric psychiatry2014

Neuroimaging and neurocognitive abnormalities associated with bipolar disorder in old age.

Soham Rej, Meryl A Butters, Howard J Aizenstein, Amy Begley, Jawad Tsay, Charles F Reynolds, Benoit H Mulsant, Ariel Gildengers

Open access · greenAbstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 4 institutions in 2 countries.

Soham RejDepartment of Psychiatry, McGill University, Montreal, QC, Canada.
Meryl A Butters
Howard J Aizenstein
Amy Begley
Jawad Tsay
Charles F Reynolds
Benoit H Mulsant
Ariel Gildengers
University of Pittsburgh · USCentre for Addiction and Mental Health · CACleveland Clinic · USMcGill University · CA

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Pharmacologic MRI Predictors of Treatment Response in Late-Life DepressionR01MH076079 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, ANDREESCU, CARMEN · 2006 to 2022
$7.1M
Research Network Development Core (pages 329-374)P30MH071944 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REYNOLDS, CHARLES F. · 2005 to 2009
$6.7M
Pathways Linking Late-Life Depression to MCI &DementiaR01MH072947 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BUTTERS, MERYL A · 2005 to 2009
$2.0M
The Effects of Bipolar Disorder and its Comorbidities on Cognition in Older AdultR01MH084921 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GILDENGERS, ARIEL GERARD · 2010 to 2014
$1.8M
Acute Pharmacotherapy of Late-Life ManiaU01MH068846 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MULSANT, BENOIT H · 2005 to 2009
$1.2M
Cognition in Euthymic Older Adults with Bipolar DisorderK23MH073772 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GILDENGERS, ARIEL GERARD · 2005 to 2009
$876k
Complex Trials for Severe Geriatric Mood DisordersK24MH069430 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MULSANT, BENOIT H · 2004 to 2008
$601k
NCATS NIH HHS UL1 TR000005NIMH NIH HHS K23 MH 073772NIMH NIH HHS K23 MH073772NIMH NIH HHS K24 MH069430NIMH NIH HHS P30 MH071944NIMH NIH HHS P30 MH71944NIMH NIH HHS R01 MH072947NIMH NIH HHS R01 MH076079NIMH NIH HHS R01 MH 084921NIMH NIH HHS R01 MH084921NIMH NIH HHS U01 MH068846NIMH NIH HHS U01 MH68846
6 · The paper itself

Abstract

objectivesCognitive dysfunction is prevalent in older adults with bipolar disorder (BD). High white matter hyperintensity (WMH) burden, a marker of white matter disease, detected on T2/fluid-attenuated inversion recovery brain magnetic resonance imaging (MRI) has been consistently reported in BD across all age ranges, including older adults. Yet, whether high WMH burden is related to the excess cognitive impairment present in older adults with BD is unknown. Therefore, we examine whether higher WMH burden is related to worse cognitive function in older adults with BD.

methodsThis is a cross-sectional study of 27 non-demented BD patients aged ≥50 years and 12 similarly aged mentally healthy comparators (controls). Subjects underwent both brain MRI and comprehensive neurocognitive assessment. We employed correlational analyses to evaluate the burden of WMH and the relationship between WMH and cognitive function.

resultsAlthough BD subjects had worse performance in all cognitive domains, BD subjects had less total WMH burden (t[13.4] = -3.57, p = 0.003). In control subjects, higher WMH was related to lower global cognitive function (ρ = -0.57, n = 12, p = 0.05). However, WMH did not correlate with neuropsychological performance in BD subjects. Further, BD and control subjects did not differ with respect to total gray and hippocampal volumes.

conclusionsCognitive dysfunction in late-life BD does not appear to be due primarily to processes related to increased WMH or reduced gray matter volume. Future longitudinal studies should examine other potential neuroprogressive pathways such as inflammation, mitochondrial dysfunction, serum anticholinergic burden, and altered neurogenesis.

Indexed as

Bipolar DisorderAgedAged, 80 and overBrainCase-Control StudiesCognitionCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle Agedagingbipolar disordercognitionneuroimaging

Identifiers

PMID24006234
PMCPMC3947373
OpenAlexW1586094097

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.