Evidence map›Paper›PMID 25132825›Full record

ArticleFrontiers in psychiatry2014

Morphometric differences in planum temporale in schizophrenia and bipolar disorder revealed by statistical analysis of labeled cortical depth maps.

J Tilak Ratnanather, Shannon Cebron, Elvan Ceyhan, Elizabeth Postell, Dominic V Pisano, Clare B Poynton, Britni Crocker, Nancy A Honeycutt, Pamela B Mahon, Patrick E Barta

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Aberrant Temporal Connectivity in Persons at Clinical High Risk for Psychosis.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2017
    Article
  7. Article
  8. Review
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

10 authors at 3 institutions in 2 countries.

J Tilak RatnanatherCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA ; Institute for Computational Medicine, Johns Hopkins University , Baltimore, MD , USA ; Department of Biomedical Engineering, Johns Hopkins University , Baltimore, MD , USA.
Shannon CebronCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA.
Elvan CeyhanDepartment of Mathematics, Koç University , Istanbul , Turkey.
Elizabeth PostellCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA.
Dominic V PisanoCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA.
Clare B PoyntonCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA.
Britni CrockerCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA.
Nancy A HoneycuttDepartment of Psychiatry, Johns Hopkins University School of Medicine , Baltimore, MD , USA.
Pamela B MahonDepartment of Psychiatry, Johns Hopkins University School of Medicine , Baltimore, MD , USA.
Patrick E BartaCenter for Imaging Science, Johns Hopkins University , Baltimore, MD , USA ; Institute for Computational Medicine, Johns Hopkins University , Baltimore, MD , USA.
Johns Hopkins University · USJohns Hopkins Medicine · USKoç University · TR

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Validation of Structural/Functional MRI LocalizationR01EB000975 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI BARTA, PATRICK E, MILLER, MICHAEL I · 2002 to 2012
$3.0M
Morphometric Analysis of the Superior Temporal GyrusR01MH064838 · NIMH · JOHNS HOPKINS UNIVERSITY · PI RATNANATHER, JOHN TILAK · 2004 to 2007
$1.1M
Neuroimaging and Genetic Biomarkers of Lithium Response in Bipolar DisorderK01MH093870 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MAHON, PAMELA BELMONTE · 2012 to 2015
$714k
NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R01 EB000975NIMH NIH HHS K01 MH093870NIMH NIH HHS R01 MH064838
6 · The paper itself

Abstract

Differences in cortical thickness in the lateral temporal lobe, including the planum temporale (PT), have been reported in MRI studies of schizophrenia (SCZ) and bipolar disorder (BPD) patients. Most of these studies have used a single-valued global or local measure for thickness. However, additional and complementary information can be obtained by generating labeled cortical distance maps (LCDMs), which are distances of labeled gray matter (GM) voxels from the nearest point on the GM/white matter (WM) (inner) cortical surface. Statistical analyses of pooled and censored LCDM distances reveal subtle differences in PT between SCZ and BPD groups from data generated by Ratnanather et al. (Schizophrenia Research, http://dx.doi.org/10.1016/j.schres.2013.08.014). These results confirm that the left planum temporale (LPT) is more sensitive than the right PT in distinguishing between SCZ, BPD, and healthy controls. Also confirmed is a strong gender effect, with a thicker PT seen in males than in females. The differences between groups at smaller distances in the LPT revealed by pooled and censored LCDM analysis suggest that SCZ and BPD have different effects on the cortical mantle close to the GM/WM surface. This is consistent with reported subtle changes in the cortical mantle observed in post-mortem studies.

Indexed as

bipolar disordercortical mantlecortical thicknessplanum temporaleschizophrenia

Identifiers

PMID25132825
PMCPMC4117114
OpenAlexW2038250649

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.