Statistical shape analyses of corpus callosum changes at preoperative and postoperative scaphocephaly patients

2022 ◽  
Author(s):  
Yasin Böcü ◽  
Hakan Karabağli ◽  
Mevlüt Özgür Taşkapilioğlu ◽  
Gökhan Ocakoğlu
Keyword(s):  
Corpus Callosum ◽  
Statistical Shape ◽  
Shape Analyses

Deformation-based Statistical Shape Analysis of the Corpus Callosum in Mild Cognitive Impairment and Alzheimer’s Disease

2018 ◽  
Vol 15 (12) ◽  
pp. 1151-1160 ◽  
Author(s):  
Zihan Jiang ◽  
Huilin Yang ◽  
Xiaoying Tang
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Corpus Callosum ◽  
Shape Analysis ◽  
Disease Assessment ◽  
Statistical Shape Analysis ◽  
Superior Part ◽  
Statistical Shape

Objective: In this study, we investigated the influence that the pathology of Alzheimer’s disease (AD) exerts upon the corpus callosum (CC) using a total of 325 mild cognitive impairment (MCI) subjects, 155 AD subjects, and 185 healthy control (HC) subjects. Method: Regionally-specific morphological CC abnormalities, as induced by AD, were quantified using a large deformation diffeomorphic metric curve mapping based statistical shape analysis pipeline. We also quantified the association between the CC shape phenotype and two cognitive measures; the Mini Mental State Examination (MMSE) and the Alzheimer’s Disease Assessment Scale-Cognitive Behavior Section (ADAS-cog). To identify AD-relevant areas, CC was sub-divided into three subregions; the genu, body, and splenium (gCC, bCC, and sCC). Results: We observed significant shape compressions in AD relative to that in HC, mainly concentrated on the superior part of CC, across all three sub-regions. The HC-vs-MCI shape abnormalities were also concentrated on the superior part, but mainly occurred on bCC and sCC. The significant MCI-vs-AD shape differences, however, were only detected in part of sCC. In the shape-cognition association, significant negative correlations to ADAS-cog were detected for shape deformations at regions belonging to gCC and sCC and significant positive correlations to MMSE at regions mainly belonging to sCC. Conclusion: Our results suggest that the callosal shape deformation patterns, especially those of sCC, linked tightly to the cognitive decline in AD, and are potentially a powerful biomarker for monitoring the progression of AD.

scholarly journals Statistical shape analyses of patients with scaphocephaly after surgical remodeling

2019 ◽  
Author(s):  
Gokhan Ocakoglu ◽  
Mevlut Ozgur Taskapilioglu ◽  
Seckin Kaya ◽  
Zeynep Yazici
Keyword(s):  
Statistical Shape ◽  
Shape Analyses

scholarly journals Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis

2021 ◽  
Vol 34 (6) ◽  
pp. e100635
Author(s):  
Yaşar Türk ◽  
Ilker Ercan ◽  
Ibrahim Sahin ◽  
Basak Erdemli Gursel ◽  
Arda Uzunoglu ◽  
...  
Keyword(s):  
Corpus Callosum ◽  
Three Dimensional ◽  
Anatomical Landmarks ◽  
Deficit Syndrome ◽  
Statistical Shape ◽  
Schizophrenic Patients ◽  
Healthy Control ◽  
Gradient Echo Imaging ◽  
The Right ◽  
Cognitive Data

BackgroundThe corpus callosum (CC) is the most targeted region in the cerebrum that integrates cognitive data between homologous areas in the right and left hemispheres.AimsOur study used statistical analysis to determine whether there was a correlation between shape changes in the CC in patients with schizophrenia (SZ) (deficit syndrome (DS) and non-deficit syndrome (NDS)) and healthy control (HC) subjects.MethodsThis study consisted of 27 HC subjects and 50 schizophrenic patients (20 with DS and 30 with NDS). 3 patients with DS and 4 patients with NDS were excluded. Three-dimensional, sagittal, T1-spoiled, gradient-echo imaging was used. Standard anatomical landmarks were selected and marked on each image using specific software.ResultsAs to comparing the Procrustes mean shapes of the CC, statistically significant differences were observed between HC and SZ (DS+NDS) (p=0.017, James’s Fj=73.732), HC and DS (p<0.001, James’s Fj=140.843), HC and NDS (p=0.006, James’s Fj=89.178) and also DS and NDS (p<0.001, James’s Fj=152.967). Shape variability in the form of CC was 0.131, 0.085, 0.082 and 0.086 in the HC, SZ (DS+NDS), DS and NDS groups, respectively.ConclusionsThis study reveals callosal shape variations in patients with SZ and their DS and NDS subgroups that take into account the CC’s topographic distribution.

Statistical shape analyses of trigonocephaly patients

2019 ◽  
Vol 36 (2) ◽  
pp. 379-384
Author(s):  
M. Özgür Taşkapılıoğlu ◽  
Gökhan Ocakoğlu ◽  
Seçkin Kaya ◽  
Duygu Baykal ◽  
Zeynep Yazıcı
Keyword(s):  
Statistical Shape ◽  
Shape Analyses

A Riemannian Framework for Statistical Shape Analysis of the Corpus Callosum.

NeuroImage ◽  
2009 ◽  
Vol 47 ◽  
pp. S123
Author(s):  
SH Joshi ◽  
KL Narr ◽  
RP Woods ◽  
OR Phillips ◽  
KH Nuechterlein ◽  
...  
Keyword(s):  
Corpus Callosum ◽  
Shape Analysis ◽  
Statistical Shape Analysis ◽  
Statistical Shape ◽  
Riemannian Framework

scholarly journals Detecting the Shape Differences of the Corpus Callosum in Behçet's Disease by Statistical Shape Analysis

2011 ◽  
Vol 294 (5) ◽  
pp. 870-874 ◽  
Author(s):  
Cemil Colak ◽  
Ilker Ercan ◽  
Metin Dogan ◽  
Senem Turan Ozdemir ◽  
Serpil Sener ◽  
...  
Keyword(s):  
Corpus Callosum ◽  
Behçet’S Disease ◽  
Shape Analysis ◽  
Behcet’S Disease ◽  
Behçet's Disease ◽  
Statistical Shape Analysis ◽  
Behcet's Disease ◽  
Statistical Shape

scholarly journals A Deformation-Based Shape Study of the Corpus Callosum in First Episode Schizophrenia

2021 ◽  
Vol 12 ◽  
Author(s):  
Weikai Huang ◽  
Minhua Chen ◽  
Guiwen Lyu ◽  
Xiaoying Tang
Keyword(s):  
Corpus Callosum ◽  
Gender Effects ◽  
First Episode ◽  
Significant Area ◽  
Statistical Shape ◽  
Specific Shape ◽  
Diffeomorphic Metric Mapping ◽  
Superior Portion ◽  
First Episode Schizophrenia ◽  
Significant Region

Background: Previous first-episode schizophrenia (FES) studies have reported abnormalities in the volume and mid-sagittal size of the corpus callosum (CC), but findings have been inconsistent. Besides, the CC shape has rarely been analyzed in FES. Therefore, in this study, we investigated FES-related CC shape abnormalities using 198 participants [92 FES patients and 106 healthy controls (HCs)].Methods: We conducted statistical shape analysis of the mid-sagittal CC curve in a large deformation diffeomorphic metric mapping framework. The CC was divided into the genu, body, and splenium (gCC, bCC, and sCC) to target the key CC sub-regions affected by the FES pathology. Gender effects have been investigated.Results: There were significant area differences between FES and HC in the entire CC and gCC but not in bCC nor sCC. In terms of the localized shape morphometrics, significant region-specific shape inward-deformations were detected in the superior portion of gCC and the anterosuperior portion of bCC in FES. These global area and local shape morphometric abnormalities were restricted to female FES but not male FES.Conclusions: gCC was significantly affected in the neuropathology of FES and this finding was specific to female FES. This study suggests that gCC may be a key sub-region that is vulnerable to the neuropathology of FES, specifically in female patients. The morphometrics of gCC may serve as novel and efficient biomarkers for screening female FES patients.

Statistical shape analyses of the brainstem in chiari patients

2020 ◽  
Author(s):  
Gokhan Ocakoglu ◽  
Mevlut Ozgur Taskapilioglu ◽  
Oguz Altunyuva ◽  
Selcuk Yilmazlar
Keyword(s):  
Statistical Shape ◽  
Shape Analyses

scholarly journals Statistical shape analysis of the corpus callosum in Schizophrenia

NeuroImage ◽  
2013 ◽  
Vol 64 ◽  
pp. 547-559 ◽  
Author(s):  
Shantanu H. Joshi ◽  
Katherine L. Narr ◽  
Owen R. Philips ◽  
Keith H. Nuechterlein ◽  
Robert F. Asarnow ◽  
...  
Keyword(s):  
Corpus Callosum ◽  
Shape Analysis ◽  
Statistical Shape Analysis ◽  
Statistical Shape
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