Statistical shape analysis of corpus callosum in restless leg syndrome

Sığırlı, Deniz; Güneş, Aygül; Ozdemir, Senem Turan; Durmus, Yavuz; Gursel, Basak Erdemli

doi:10.1080/01616412.2020.1773631

Cited by 13 publications

(17 citation statements)

References 37 publications

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“…The Sigirli et al 30 48 research examined the shape deformation of the CC in patients with restless leg syndrome (RLS) and multiple sclerosis (MS) using the shape analysis technique and found that the most apparent deformation occurred in the posterior mid-body and anterior regions of the CC, respectively. According to connectional division (cortical parcellation based on diffusion tractography), the posterior mid-body region of the CC is linked with motor cortex in RLS, which they hypothesised was owing to myelin insufficiency.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2021

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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.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2021

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“…Statistical shape analysis was performed to evaluate corpus callosum shape using 16 homologous landmarks (Fig. 1) that were used in previous studies Sigirli 2020) We also implemented statistical shape analysis of cranium using homologous anatomical landmarks (Fig. 2) used in a previous study (Ocakoglu et al 2020) The descriptions of these landmarks are provided in Table 1.…”

Section: Obtaining 2d Landmarksmentioning

confidence: 99%

Development of the corpus callosum during normal growth

Baykal

Çevirme

Ocakoğlu

et al. 2022

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Objective Corpus callosum is the main structure that provides communication between the two brain hemispheres. This study aimed to investigate the differences in the shape of corpus callosum and cranium during growth and to assess their potential clinical implications. Methods Cranium and corpus callosum shape data were collected from two-dimensional digital images. Generalized Procrustes analysis was used to obtain mean shapes between consecutive age-groups. Shape deformation of the corpus callosum between consecutive age-groups was evaluated using the thin-plate spline method. Results There were significant age-based differences in the shape of carpos callosum and cranium. The most prominent deformation was seen in the posterior midbody (a region of the corpus callosum), while the greatest deformation in the cranium was observed in the biparietal area. There were significant differences in corpus callosum shape between 1- and 2-year age-groups. The diameter of the cranium increased up to the age of 4 years; however, this increase was not uniform, especially in the biparietal areas. Conclusions The growth of skull and the development of the corpus callosum are not similar. The development of corpus callosum may be a better indicator of neural development than skull enlargement.

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“…To align the MRI images of all of the subjects at a standard position, the commissure line from anterior to posterior and inter hemispheric fissure was used. Statistical shape analysis method has been implied by using 16 homologous landmarks, which were used in our previous studies [13][14][15]. The CC was divided into seven subdivisions based on the Witelson framework [16].…”

Section: Landmark Acquisitionmentioning

confidence: 99%

Evaluation of the corpus callosum shape in patients with obstructive sleep apnea

et al. 2021

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Background The aim of this study was to examine whether or not there was a difference in corpus callosum shape between patients with mild to moderate and severe obstructive sleep apnea (OSA) compared with patients who have simple snoring. Methods The landmark coordinate data was obtained from the mid-sagittal magnetic resonance imaging (MRI) images of 70 patients who underwent polysomnography. For comparisons, mild and moderate OSA groups were combined and analyses were performed on three groups; simple snoring/control group, mild or moderate OSA group, and severe OSA group. Results The corpus callosum shape of controls was significantly different from that of the severe OSA group. The most prominent deformities were observed in the genu and rostral body of the corpus callosum for the patients with severe OSA. No significant difference was found between mild/moderate OSA group and simple snoring group in terms of global corpus callosum shape. Conclusion The data demonstrated that severe OSA patients have structural changes in the corpus callosum and deformities may vary as the severity of disease changes.

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Statistical shape analysis of corpus callosum in restless leg syndrome

Cited by 13 publications

References 37 publications

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

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

Development of the corpus callosum during normal growth

Evaluation of the corpus callosum shape in patients with obstructive sleep apnea

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