Evidence map›Paper›PMID 29846988›Full record

ArticleNMR in biomedicine2018

Diffusional kurtosis imaging and white matter microstructure modeling in a clinical study of major depressive disorder.

Kouhei Kamiya, Naohiro Okada, Kingo Sawada, Yusuke Watanabe, Ryusuke Irie, Shouhei Hanaoka, Yuichi Suzuki, Shinsuke Koike, Harushi Mori, Akira Kunimatsu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in NMR in biomedicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

14 authors at 5 institutions in 1 country.

Kouhei KamiyaDepartment of Radiology, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-9151-6739
Naohiro OkadaDepartment of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Kingo SawadaDepartment of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Yusuke WatanabeDepartment of Radiology, The University of Tokyo, Tokyo, Japan.
Ryusuke IrieDepartment of Radiology, The University of Tokyo, Tokyo, Japan.
Shouhei HanaokaDepartment of Radiology, The University of Tokyo, Tokyo, Japan.
Yuichi SuzukiDepartment of Radiology, The University of Tokyo Hospital, Tokyo, Japan.
Shinsuke KoikeDepartment of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Harushi MoriDepartment of Radiology, The University of Tokyo, Tokyo, Japan.
Akira KunimatsuDepartment of Radiology, IMSUT (The Institute of Medical Science, The University of Tokyo) Hospital, Tokyo, Japan.
Masaaki HoriDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Shigeki AokiDepartment of Radiology, Juntendo University School of Medicine, Tokyo, Japan.
Kiyoto KasaiDepartment of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Osamu AbeDepartment of Radiology, The University of Tokyo, Tokyo, Japan.
Juntendo University · JPThe University of Tokyo · JPTokyo Health Care University · JPTokyo Medical University Hospital · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a globally prevalent psychiatric disorder that results from disruption of multiple neural circuits involved in emotional regulation. Although previous studies using diffusion tensor imaging (DTI) found smaller values of fractional anisotropy (FA) in the white matter, predominantly in the frontal lobe, of patients with MDD, studies using diffusion kurtosis imaging (DKI) are scarce. Here, we used DKI whole-brain analysis with tract-based spatial statistics (TBSS) to investigate the brain microstructural abnormalities in MDD. Twenty-six patients with MDD and 42 age- and sex-matched control subjects were enrolled. To investigate the microstructural pathology underlying the observations in DKI, a compartment model analysis was conducted focusing on the corpus callosum. In TBSS, the patients with MDD showed significantly smaller values of FA in the genu and frontal portion of the body of the corpus callosum. The patients also had smaller values of mean kurtosis (MK) and radial kurtosis (RK), but MK and RK abnormalities were distributed more widely compared with FA, predominantly in the frontal lobe but also in the parietal, occipital, and temporal lobes. Within the callosum, the regions with smaller MK and RK were located more posteriorly than the region with smaller FA. Model analysis suggested significantly smaller values of intra-neurite signal fraction in the body of the callosum and greater fiber dispersion in the genu, which were compatible with the existing literature of white matter pathology in MDD. Our results show that DKI is capable of demonstrating microstructural alterations in the brains of patients with MDD that cannot be fully depicted by conventional DTI. Though the issues of model validation and parameter estimation still remain, it is suggested that diffusion MRI combined with a biophysical model is a promising approach for investigation of the pathophysiology of MDD.

Indexed as

Diffusion Tensor ImagingAdultAlgorithmsCase-Control StudiesComputer SimulationCorpus CallosumFemaleHumansMajor Depressive DisorderMaleStatistics as TopicWhite Matterdiffusion kurtosis imagingdiffusion tensor imagingmajor depressive disordermicrostructuremodeling

Identifiers

PMID29846988
PMCPMC6032871
OpenAlexW2806449139

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.