Evidence map›Paper›PMID 27176232›Full record

ArticlePloS one2016

Fractal Dimension Analysis of Subcortical Gray Matter Structures in Schizophrenia.

Guihu Zhao, Kristina Denisova, Pejman Sehatpour, Jun Long, Weihua Gui, Jianping Qiao, Daniel C Javitt, Zhishun Wang

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. 3D structural complexity analysis of cerebellum in Chiari malformation type I.Medical & biological engineering & computing · 2017
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Guihu ZhaoSchool of Information Science and Engineering, Central South University, Changsha 410083, China.
Kristina DenisovaDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, United States of America.
Pejman SehatpourDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, United States of America.
Jun LongSchool of Information Science and Engineering, Central South University, Changsha 410083, China.
Weihua GuiSchool of Information Science and Engineering, Central South University, Changsha 410083, China.
Jianping QiaoCollege of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Daniel C JavittDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, United States of America.
Zhishun WangDepartment of Psychiatry, Columbia University College of Physicians and Surgeons, New York, NY 10032, United States of America.

Funding

Translational Research Training in Child PsychiatryT32MH016434 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Cristiane S. Duarte, Kate Dimond Fitzgerald · 1985 to 2026
$10.9M
NIMH NIH HHS T32 MH016434
6 · The paper itself

Abstract

A failure of adaptive inference-misinterpreting available sensory information for appropriate perception and action-is at the heart of clinical manifestations of schizophrenia, implicating key subcortical structures in the brain including the hippocampus. We used high-resolution, three-dimensional (3D) fractal geometry analysis to study subtle and potentially biologically relevant structural alterations (in the geometry of protrusions, gyri and indentations, sulci) in subcortical gray matter (GM) in patients with schizophrenia relative to healthy individuals. In particular, we focus on utilizing Fractal Dimension (FD), a compact shape descriptor that can be computed using inputs with irregular (i.e., not necessarily smooth) surfaces in order to quantify complexity (of geometrical properties and configurations of structures across spatial scales) of subcortical GM in this disorder. Probabilistic (entropy-based) information FD was computed based on the box-counting approach for each of the seven subcortical structures, bilaterally, as well as the brainstem from high-resolution magnetic resonance (MR) images in chronic patients with schizophrenia (n = 19) and age-matched healthy controls (n = 19) (age ranges: patients, 22.7-54.3 and healthy controls, 24.9-51.6 years old). We found a significant reduction of FD in the left hippocampus (median: 2.1460, range: 2.07-2.18 vs. median: 2.1730, range: 2.15-2.23, p<0.001; Cohen's effect size, U3 = 0.8158 (95% Confidence Intervals, CIs: 0.6316, 1.0)), the right hippocampus (median: 2.1430, range: 2.05-2.19 vs. median: 2.1760, range: 2.12-2.21, p = 0.004; U3 = 0.8421 (CIs: 0.5263, 1)), as well as left thalamus (median: 2.4230, range: 2.40-2.44, p = 0.005; U3 = 0.7895 (CIs: 0.5789, 0.9473)) in schizophrenia patients, relative to healthy individuals. Our findings provide in-vivo quantitative evidence for reduced surface complexity of hippocampus, with reduced FD indicating a less complex, less regular GM surface detected in schizophrenia.

Identifiers

PMID27176232
PMCPMC4866699

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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.