Evidence map›Paper›PMID 25560762›Full record

ArticleMolecular psychiatry2015

Brain abnormalities in bipolar disorder detected by quantitative T1ρ mapping.

C P Johnson, R L Follmer, I Oguz, L A Warren, G E Christensen, J G Fiedorowicz, V A Magnotta, J A Wemmie

Open access · bronzeAbstract read
In one paragraph

Article in Molecular psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.6field-weighted citation impact, top 5% 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, 55 citations in OpenAlex.

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  6. Association between the epigenetic lifespan predictor GrimAge and history of suicide attempt in bipolar disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
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  13. Three-Dimensional GRE TMagnetic resonance in medicine · 2020
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  17. Comparison of TThe Journal of neuropsychiatry and clinical neurosciences · 2020
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  18. Review
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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 1 institution in 1 country.

C P JohnsonDepartment of Radiology, University of Iowa, Iowa City, IA, USA.
R L FollmerDepartment of Psychiatry, University of Iowa, Iowa City, IA, USA.
I OguzDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA.
L A WarrenDepartment of Psychiatry, University of Iowa, Iowa City, IA, USA.
G E ChristensenDepartment of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA.
J G Fiedorowicz1] Department of Psychiatry, University of Iowa, Iowa City, IA, USA [2] Department of Epidemiology, University of Iowa, Iowa City, IA, USA [3] Department of Internal Medicine, University of Iowa, Iowa City, IA, USA.
V A Magnotta1] Department of Radiology, University of Iowa, Iowa City, IA, USA [2] Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
J A Wemmie1] Department of Psychiatry, University of Iowa, Iowa City, IA, USA [2] Veterans Affairs Hospital Center, Iowa City, IA, USA.
University of Iowa · US

Funding

VASOPRESSIN IN CARDIOVASCULAR REGULATIONP01HL014388 · NHLBI · UNIVERSITY OF IOWA · PI CHAPLEAU, MARK W · 1985 to 2018
$40.3M
Regulation of Cerebral Blood Flow by Acid-Sensing Ion Channels (ASICs)R01HL113863 · NHLBI · UNIVERSITY OF IOWA · PI FARACI, FRANK M, WEMMIE, JOHN A · 2012 to 2016
$1.9M
Modeling CO2-evoked fear in mice: role of acid-sensing ion channelsR01MH085724 · NIMH · UNIVERSITY OF IOWA · PI WEMMIE, JOHN A · 2009 to 2013
$1.8M
Antipsychotics and Vascular Function in Bipolar DisordersK23MH083695 · NIMH · UNIVERSITY OF IOWA · PI FIEDOROWICZ, JESS G · 2010 to 2014
$869k
Brain pH and Acid Sensing in Depression-Related BehaviorI01BX000741 · VA · IOWA CITY VA MEDICAL CENTER · PI WEMMIE, JOHN A · 2011 to 2018
–
BLRD VA I01 BX000741NHLBI NIH HHS P01 HL014388NHLBI NIH HHS R01 HL113863NHLBI NIH HHS R01HL113863NIMH NIH HHS 1K23MH083695-01A210NIMH NIH HHS 5R01MH085724NIMH NIH HHS K23 MH083695NIMH NIH HHS R01 MH085724
6 · The paper itself

Abstract

Abnormal metabolism has been reported in bipolar disorder, however, these studies have been limited to specific regions of the brain. To investigate whole-brain changes potentially associated with these processes, we applied a magnetic resonance imaging technique novel to psychiatric research, quantitative mapping of T1 relaxation in the rotating frame (T1ρ). This method is sensitive to proton chemical exchange, which is affected by pH, metabolite concentrations and cellular density with high spatial resolution relative to alternative techniques such as magnetic resonance spectroscopy and positron emission tomography. Study participants included 15 patients with bipolar I disorder in the euthymic state and 25 normal controls balanced for age and gender. T1ρ maps were generated and compared between the bipolar and control groups using voxel-wise and regional analyses. T1ρ values were found to be elevated in the cerebral white matter and cerebellum in the bipolar group. However, volumes of these areas were normal as measured by high-resolution T1- and T2-weighted magnetic resonance imaging. Interestingly, the cerebellar T1ρ abnormalities were normalized in participants receiving lithium treatment. These findings are consistent with metabolic or microstructural abnormalities in bipolar disorder and draw attention to roles of the cerebral white matter and cerebellum. This study highlights the potential utility of high-resolution T1ρ mapping in psychiatric research.

Indexed as

Brain MappingImage Processing, Computer-AssistedMagnetic Resonance ImagingAdultAgedBipolar DisorderBrainFemaleHumansMaleMiddle AgedPsychiatric Status Rating ScalesStatistics, NonparametricYoung Adult

Identifiers

PMID25560762
PMCPMC4346383
OpenAlexW2074292639

What OpenQuestion holds

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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.