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Artículos de revistas sobre el tema "Corpus callosum shape"

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Publicado: 7 de junio de 2025
Última modificación: 2 de agosto de 2025

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1

Walterfang, Mark, Gin S. Malhi, Amanda G. Wood, et al. "Corpus Callosum Size and Shape in Established Bipolar Affective Disorder." Australian & New Zealand Journal of Psychiatry 43, no. 9 (2009): 838–45. http://dx.doi.org/10.1080/00048670903107534.

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Objective: Callosal structural and functional alterations have been demonstrated in a range of neuropsychiatric illnesses, including bipolar disorder, but no study has examined regional callosal thickness in this phenotype. The aim of the present study was therefore to examine callosal size and shape in a well-defined group of bipolar affective disorder patients and controls. Methods: The participants included 24 patients with DSM-IV bipolar I disorder and 24 matched healthy controls. The corpus callosum was extracted from mid-callosal images from T1-weighted magnetic resonance imaging scans o
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2

Walsh, Erin I., Marnie E. Shaw, Daniela A. Espinoza Oyarce, Mark Fraser, and Nicolas Cherbuin. "Assumption-Free Assessment of Corpus Callosum Shape: Benchmarking and Application." Concepts in Magnetic Resonance Part A 2019 (July 1, 2019): 1–10. http://dx.doi.org/10.1155/2019/8921901.

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Shape analysis provides a unique insight into biological processes. This paper evaluates the properties, performance, and utility of elliptical Fourier (eFourier) analysis to operationalise global shape, focussing on the human corpus callosum. 8000 simulated corpus callosum contours were generated, systematically varying in terms of global shape (midbody arch, splenium size), local complexity (surface smoothness), and nonshape characteristics (e.g., rotation). 2088 real corpus callosum contours were manually traced from the PATH study. Performance of eFourier was benchmarked in terms of its ca
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3

Hampson, Elizabeth. "Is the size of the human corpus callosum influenced by sex hormones?" Behavioral and Brain Sciences 21, no. 3 (1998): 331–32. http://dx.doi.org/10.1017/s0140525x98271214.

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Fitch & Denenberg have shown that manipulations of ovarian and testicular hormones early in development can influence the adult size of the corpus callosum in the rat. The human corpus callosum is highly variable in size and shape, but data are only now beginning to emerge on whether sex steroids influence callosal differentiation in humans. I describe recent data from our own laboratory and suggest avenues for future research.
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4

Boiagina, Olga, Oleksandr Stepanenko, and Anastasiia Lebedieva. "Correlation Between Corpus Callosum Shape and Craniometric Measurements According to Mri Data." BRAIN. BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE 12, no. 3 (2021): 01–10. http://dx.doi.org/10.18662/brain/12.3/216.

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The correlation between the cranial height and the height of the corpus callosum trunk bulge, and the relationship between the corpus callosum shape and the cranial shape have not been studied. The purpose of the article was to determine the individual variability of the corpus callosum height and shape of adults, and their dependence on the cranial height and shape. The material was two samples from a series of MR scans of the head of men and women of the second period of adulthood (19 variations in each group) without the central nervous system pathology. Magnetic resonance tomographic scann
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5

Walterfang, Mark, Amanda G. Wood, David C. Reutens, et al. "Morphology of the corpus callosum at different stages of schizophrenia: Cross-sectional study in first-episode and chronic illness." British Journal of Psychiatry 192, no. 6 (2008): 429–34. http://dx.doi.org/10.1192/bjp.bp.107.041251.

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BackgroundThe shape of the corpus callosum may differ in schizophrenia, although no study has compared first-episode with established illness.AimsTo investigate the size and shape of the corpus callosum in a large sample of people with first-episode and established schizophrenia.MethodCallosal size and shape were determined using highresolution magnetic resonance imaging on 76 patients with first-episode schizophrenia-spectrum disorders, 86 patients with established schizophrenia and 55 healthy participants.ResultsThere were no significant differences in total area across groups. Reductions in
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6

Olga, BOIAGINA, STEPANENKO Oleksandr, and LEBEDIEVA Anastasiia. "Correlation between Corpus Callosum Shape and Craniometric Measurements According to MRI Data." BRAIN. Broad Research in Artificial Intelligence and Neuroscience 12, no. 3 (2025): 01–10. https://doi.org/10.18662/brain/12.3/216.

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 The correlation between the cranial height and the height of the corpus callosum trunk bulge, and the relationship between the corpus callosum shape and the cranial shape have not been studied. The purpose of the article was to determine the individual variability of the corpus callosum height and shape of adults, and their dependence on the cranial height and shape. The material was two samples from a series of MR scans of the head of men and women of the second period of adulthood (19 variations in each group) without the central nervous system p
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7

FERRARIO, VIRGILIO F., CHIARELLA SFORZA, GRAZIANO SERRAO, TIZIANO FRATTINI, and CARLO DEL FAVERO. "Shape of the Human Corpus Callosum." Investigative Radiology 29, no. 7 (1994): 677–81. http://dx.doi.org/10.1097/00004424-199407000-00003.

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8

Lee, Sekwang, Sung-Bom Pyun, Kwan Woo Choi, and Woo-Suk Tae. "Shape and Volumetric Differences in the Corpus Callosum between Patients with Major Depressive Disorder and Healthy Controls." Psychiatry Investigation 17, no. 9 (2020): 941–50. http://dx.doi.org/10.30773/pi.2020.0157.

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Objective This study aimed to investigate the morphometric differences in the corpus callosum between patients with major depressive disorder (MDD) and healthy controls and analyze their relationship to gray matter changes.Methods Twenty female MDD patients and 21 healthy controls (HCs) were included in the study. To identify the difference in the regional gray matter concentration (GMC), VBM was performed with T1 magnetic resonance imaging. The shape analysis of the corpus callosum was processed. Diffusion tensor imaging (DTI) fiber-tracking was performed to identify the regional tract pathwa
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9

Oesch, Gabriela, A. Murat Maga, Seth D. Friedman, et al. "Geometric morphometrics reveal altered corpus callosum shape in pyridoxine-dependent epilepsy." Neurology 91, no. 1 (2018): e78-e86. http://dx.doi.org/10.1212/wnl.0000000000005748.

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ObjectiveTo evaluate the features and maturational changes in overall callosal shape in patients with pyridoxine-dependent epilepsy (PDE).MethodsMeasurements were conducted through landmark-based geometric morphometrics applied on cerebral MRIs of patients with PDE and age-matched control subjects. The outline of the corpus callosum was manually traced in the midsagittal plane. Three hundred semi-landmarks along the outline were collected and underwent statistical generalized Procrustes analysis. An allometric regression was applied to evaluate the callosal shape due to growth over time.Result
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10

Baykara, Sema, Murat Baykara, and Murad Atmaca. "Statistical shape analysis of Corpus Callosum in vaginismus." Archives of Psychiatry and Psychotherapy 25, no. 2 (2023): 37–44. http://dx.doi.org/10.12740/app/155218.

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Aim of the studyVaginismus is the presence spasm of the muscles in the vagina in the absence of any disease. Neurological diseases can cause degenerative changes in brain structures such as the corpus callosum (CC). The aim of this study is to evaluate the corpus callosum of patients with vaginismus with statistical shape analysis (SSA) using magnetic resonance imaging (MRI) images and compare it with healthy controls.Subject or material and methodsTen female patients with vaginismus and healthy individuals who met the study criteria, were equal in number and age were selected as the control.
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11

Bhalerao, Gaurav Vivek, and Niranjana Sampathila. "Classification of Brain MR Images Using Corpus Callosum Shape Measurements." International Journal of Biomedical and Clinical Engineering 4, no. 2 (2015): 48–56. http://dx.doi.org/10.4018/ijbce.2015070105.

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The corpus callosum is the largest white matter structure in the brain, which connects the two cerebral hemispheres and facilitates the inter-hemispheric communication. Abnormal anatomy of corpus callosum has been revealed for various brain related diseases. Being an important biomarker, Magnetic Resonance Imaging of the brain followed by corpus callosum segmentation and feature extraction has found to be important for the diagnosis of many neurological diseases. This paper focuses on classification of T1-weighted mid-sagittal MR images of brain for dementia patients. The corpus callosum is se
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12

Walterfang, Mark, and Dennis Velakoulis. "Callosal morphology in schizophrenia: what can shape tell us about function and illness?" British Journal of Psychiatry 204, no. 1 (2014): 9–11. http://dx.doi.org/10.1192/bjp.bp.113.132357.

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SummaryExamination of the corpus callosum provides a window to cortical brain change in brain disorders. Combining volumetric with microstructural analysis allows a greater understanding of the biology underpinning change, and examining callosal structure alongside the structure of the cortical regions it interconnects may allow us to understand the true significance of callosal change in psychiatric disorders.
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13

FERRARIO, VIRGILIO F., CHIARELLA SFORZA, GRAZIANO SERRAO, TIZIANO FRATTINI, and CARLO DEL FAVERO. "Shape of the Human Corpus Callosum in Childhood." Investigative Radiology 31, no. 1 (1996): 1–5. http://dx.doi.org/10.1097/00004424-199601000-00001.

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14

Wu, H., P. Karp, J. Hu, and R. Bilder. "Corpus callosum shape analysis in first-episode schizophrenia." Archives of Clinical Neuropsychology 12, no. 4 (1997): 432. http://dx.doi.org/10.1093/arclin/12.4.432.

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15

DeQuardo, John R. "Landmark analysis of corpus callosum shape in schizophrenia." Biological Psychiatry 46, no. 12 (1999): 1712. http://dx.doi.org/10.1016/s0006-3223(99)00196-1.

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16

Vannucci, Robert C., Todd F. Barron, and Susan J. Vannucci. "Development of the Corpus Callosum: An MRI Study." Developmental Neuroscience 39, no. 1-4 (2016): 97–106. http://dx.doi.org/10.1159/000453031.

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The size and shape of the corpus callosum and its major components (genu, body, and splenium) were measured by magnetic resonance imaging (MRI) in 118 normocephalic individuals aged from 1 postnatal week to 18.7 years. Genu, body, splenial, and total corpus callosal areas increased by 40-100% during the first year of life (p < 0.05). The genu expanded to a greater extent than the splenium during the first 6 years, while the splenium expanded to a greater extent between 7 and 18 years. The age-related difference in the maximal expansion of these structures indicated an anterior to posterior
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17

Gao, Wenpeng, Xiaoguang Chen, Yili Fu, and Minwei Zhu. "Automatic Extraction of the Centerline of Corpus Callosum from Segmented Mid-Sagittal MR Images." Computational and Mathematical Methods in Medicine 2018 (July 4, 2018): 1–10. http://dx.doi.org/10.1155/2018/4014213.

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The centerline, as a simple and compact representation of object shape, has been used to analyze variations of the human callosal shape. However, automatic extraction of the callosal centerline remains a sophisticated problem. In this paper, we propose a method of automatic extraction of the callosal centerline from segmented mid-sagittal magnetic resonance (MR) images. A model-based point matching method is introduced to localize the anterior and posterior endpoints of the centerline. The model of the endpoint is constructed with a statistical descriptor of the shape context. Active contour m
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18

Joshi, Shantanu H., Katherine L. Narr, Owen R. Philips, et al. "Statistical shape analysis of the corpus callosum in Schizophrenia." NeuroImage 64 (January 2013): 547–59. http://dx.doi.org/10.1016/j.neuroimage.2012.09.024.

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19

Türk, Yaşar, Ilker Ercan, Ibrahim Sahin, et al. "Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis." General Psychiatry 34, no. 6 (2021): e100635. http://dx.doi.org/10.1136/gpsych-2021-100635.

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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, sagitt
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20

Baykara, Murat, Sema Baykara, and Murad Atmaca. "Statistical shape analysis of corpus callosum in functional neurological disorder." Neuropsychiatria i Neuropsychologia 17, no. 1-2 (2022): 1–8. http://dx.doi.org/10.5114/nan.2022.117950.

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21

Takagi, Michael, Dan I. Lubman, Mark Walterfang, et al. "Corpus callosum size and shape alterations in adolescent inhalant users." Addiction Biology 18, no. 5 (2011): 851–54. http://dx.doi.org/10.1111/j.1369-1600.2011.00364.x.

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22

Sigirli, Deniz, Aygul Gunes, Senem Turan Ozdemir, Ilker Ercan, Yavuz Durmus, and Basak Erdemli Gursel. "Statistical shape analysis of corpus callosum in restless leg syndrome." Neurological Research 42, no. 9 (2020): 760–66. http://dx.doi.org/10.1080/01616412.2020.1773631.

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23

Oh, Jungsu S., In Kyoon Lyoo, Young Hoon Sung, et al. "Shape changes of the corpus callosum in abstinent methamphetamine users." Neuroscience Letters 384, no. 1-2 (2005): 76–81. http://dx.doi.org/10.1016/j.neulet.2005.04.082.

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24

Tibbo, Philip, Peg Nopoulos, Stephan Arndt, and Nancy C. Andreasen. "Corpus callosum shape and size in male patients with schizophrenia." Biological Psychiatry 44, no. 6 (1998): 405–12. http://dx.doi.org/10.1016/s0006-3223(98)00096-1.

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25

Dogra, Harshita, Shengxian Ding, Miyeon Yeon, Rongjie Liu, and Chao Huang. "Confounder Adjustment in Shape-on-Scalar Regression Model: Corpus Callosum Shape Alterations in Alzheimer’s Disease." Stats 6, no. 4 (2023): 980–89. http://dx.doi.org/10.3390/stats6040061.

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Large-scale imaging studies often face challenges stemming from heterogeneity arising from differences in geographic location, instrumental setups, image acquisition protocols, study design, and latent variables that remain undisclosed. While numerous regression models have been developed to elucidate the interplay between imaging responses and relevant covariates, limited attention has been devoted to cases where the imaging responses pertain to the domain of shape. This adds complexity to the problem of imaging heterogeneity, primarily due to the unique properties inherent to shape represent
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26

Elnakib, A., M. F. Casanova, G. Gimelrfarb, A. E. Switala, and A. El-Baz. "Dyslexia Diagnostics by 3-D Shape Analysis of the Corpus Callosum." IEEE Transactions on Information Technology in Biomedicine 16, no. 4 (2012): 700–708. http://dx.doi.org/10.1109/titb.2012.2187302.

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27

Prendergast, D. M., K. H. Karlsgodt, C. L. Fales, B. A. Ardekani, and P. R. Szeszko. "Corpus callosum shape and morphology in youth across the psychosis Spectrum." Schizophrenia Research 199 (September 2018): 266–73. http://dx.doi.org/10.1016/j.schres.2018.04.008.

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28

Joshi, SH, KL Narr, RP Woods, et al. "A Riemannian Framework for Statistical Shape Analysis of the Corpus Callosum." NeuroImage 47 (July 2009): S123. http://dx.doi.org/10.1016/s1053-8119(09)71176-0.

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29

Sun, Hui, Paul A. Yushkevich, Hui Zhang, et al. "Shape-Based Normalization of the Corpus Callosum for DTI Connectivity Analysis." IEEE Transactions on Medical Imaging 26, no. 9 (2007): 1166–78. http://dx.doi.org/10.1109/tmi.2007.900322.

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30

Ozdemir, Senem Turan, Ilker Ercan, Ozdemir Sevinc, et al. "Statistical Shape Analysis of Differences in the Shape of the Corpus Callosum Between Genders." Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology 290, no. 7 (2007): 825–30. http://dx.doi.org/10.1002/ar.20558.

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31

Jiang, Zihan, Huilin Yang, and Xiaoying Tang. "Deformation-based Statistical Shape Analysis of the Corpus Callosum in Mild Cognitive Impairment and Alzheimer’s Disease." Current Alzheimer Research 15, no. 12 (2018): 1151–60. http://dx.doi.org/10.2174/1567205015666180813145935.

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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
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32

Walterfang, M., A. Wood, S. Barton, et al. "Corpus Callosum Size and Shape in Individuals with Bipolar Disorder and Their Relatives." European Psychiatry 24, S1 (2009): 1. http://dx.doi.org/10.1016/s0924-9338(09)71150-2.

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Objective:To examine genetic influences the anatomy of the Corpus Callosum (CC) in Bipolar Disorder (BD) by examining first-degree relatives in addition to BD patients.Methods:We compared CCl size and shape in 180 individuals: 70 with BD, 45 of their unaffected first-degree relatives, and 75 healthy controls. The CC was extracted from a mid-sagittal slice from T1-weighted magnetic resonance images; its total area, length and curvature were compared across groups. A non-parametric permutation method was used to examine for alterations in width of the callosum along 39 points.Results:Validating
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33

Colak, Cemil, Ilker Ercan, Metin Dogan, Senem Turan Ozdemir, Serpil Sener, and Alpay Alkan. "Detecting the Shape Differences of the Corpus Callosum in Behçet's Disease by Statistical Shape Analysis." Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology 294, no. 5 (2011): 870–74. http://dx.doi.org/10.1002/ar.21373.

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34

Pont-Lezica, Lorena, Wouter Beumer, Sabrina Colasse, Hemmo Drexhage, Marjan Versnel, and Alain Bessis. "Microglia shape corpus callosum axon tract fasciculation: functional impact of prenatal inflammation." European Journal of Neuroscience 39, no. 10 (2014): 1551–57. http://dx.doi.org/10.1111/ejn.12508.

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35

Walterfang, Mark, Alison Yung, Amanda G. Wood, et al. "Corpus callosum shape alterations in individuals prior to the onset of psychosis." Schizophrenia Research 103, no. 1-3 (2008): 1–10. http://dx.doi.org/10.1016/j.schres.2008.04.042.

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36

Martín-Loeches, Manuel, Emiliano Bruner, José Manuel de la Cuétara, and Roberto Colom. "Correlation between corpus callosum shape and cognitive performance in healthy young adults." Brain Structure and Function 218, no. 3 (2012): 721–31. http://dx.doi.org/10.1007/s00429-012-0424-3.

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37

Walterfang, Mark, Murat Yücel, Sarah Barton, et al. "Corpus callosum size and shape in individuals with current and past depression." Journal of Affective Disorders 115, no. 3 (2009): 411–20. http://dx.doi.org/10.1016/j.jad.2008.10.010.

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38

Adiya, Enkhbolor, Yonny S. Izmantoko, and Heung-Kook Choi. "Comparison of Active Contour and Active Shape Approaches for Corpus Callosum Segmentation." Journal of Korea Multimedia Society 16, no. 9 (2013): 1018–30. http://dx.doi.org/10.9717/kmms.2013.16.9.1018.

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39

Casanova, Manuel F., Mark Zito, Terry Goldberg, et al. "Shape distortion of the corpus callosum of monozygotic twins discordant for schizophrenia." Schizophrenia Research 3, no. 2 (1990): 155–56. http://dx.doi.org/10.1016/0920-9964(90)90049-d.

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40

SIĞIRLI, Deniz, Senem TURAN ÖZDEMİR, İlker ERCAN, et al. "Statistical Shape Analysis of the Corpus Callosum and the Cerebellum in Migraine Patients." Turkiye Klinikleri Journal of Medical Sciences 33, no. 1 (2013): 200–209. http://dx.doi.org/10.5336/medsci.2012-30848.

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41

Böcü, Yasin, Hakan Karabağli, Mevlüt Özgür Taşkapilioğlu, and Gökhan Ocakoğlu. "Statistical shape analyses of corpus callosum changes at preoperative and postoperative scaphocephaly patients." Child's Nervous System 38, no. 4 (2022): 773–80. http://dx.doi.org/10.1007/s00381-021-05430-2.

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42

Downhill, Jack E., Monte S. Buchsbaum, Tsechung Wei, et al. "Shape and size of the corpus callosum in schizophrenia and schizotypal personality disorder." Schizophrenia Research 42, no. 3 (2000): 193–208. http://dx.doi.org/10.1016/s0920-9964(99)00123-1.

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43

Walterfang, Mark, Amanda G. Wood, David C. Reutens, et al. "Corpus callosum size and shape in first-episode affective and schizophrenia-spectrum psychosis." Psychiatry Research: Neuroimaging 173, no. 1 (2009): 77–82. http://dx.doi.org/10.1016/j.pscychresns.2008.09.007.

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44

Weinberg, Seth M., Trish E. Parsons, Melissa R. Fogel, Courtney P. Walter, Amy L. Conrad, and Peg Nopoulos. "Corpus Callosum Shape Is Altered in Individuals With Nonsyndromic Cleft Lip and Palate." American Journal of Medical Genetics Part A 161, no. 5 (2013): 1002–7. http://dx.doi.org/10.1002/ajmg.a.35835.

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45

Walterfang, Mark, Eileen Luders, Jeffrey C. L. Looi, et al. "Shape Analysis of the Corpus Callosum in Alzheimer's Disease and Frontotemporal Lobar Degeneration Subtypes." Journal of Alzheimer's Disease 40, no. 4 (2014): 897–906. http://dx.doi.org/10.3233/jad-131853.

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46

Sampaio, Adriana, Sylvain Bouix, Nuno Sousa, et al. "Morphometry of corpus callosum in Williams syndrome: shape as an index of neural development." Brain Structure and Function 218, no. 3 (2012): 711–20. http://dx.doi.org/10.1007/s00429-012-0423-4.

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47

Bookstein, Fred L., Ann P. Streissguth, Paul D. Sampson, Paul D. Connor, and Helen M. Barr. "Corpus Callosum Shape and Neuropsychological Deficits in Adult Males with Heavy Fetal Alcohol Exposure." NeuroImage 15, no. 1 (2002): 233–51. http://dx.doi.org/10.1006/nimg.2001.0977.

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48

Nishimoto, T., and S. Murakami. "Relation Between Diffuse Axonal Injury and Internal Head Structures on Blunt Impact." Journal of Biomechanical Engineering 120, no. 1 (1998): 140–47. http://dx.doi.org/10.1115/1.2834294.

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Diffuse axonal injury (DAI) is a severe head injury, which exhibits symptoms of consciousness disturbance and is thought to occur through rotational angular acceleration. This paper analyzes the occurrence of DAI when direct impacts with translational accelerations are applied to two-dimensional head models. We constructed a human model reproducing the human head structure, as well as modified human models with some internal head structures removed. Blunt direct impacts were applied from a lateral direction to the bottom of the third ventricle, considered to be the center of impact, using an i
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49

Özkale Yavuz, Özlem, and Birsel Şen Akova. "The many radiologic faces of filamin A mutation in 2-year-old girl: a case report." Journal of Radiology in Medicine 2, no. 2 (2025): 39–42. https://doi.org/10.51271/jrm-0030.

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In this article, we present the case of a 2-year-old girl with Filamin A (FLN-A) mutation who exhibited thrombocytopenia, corpus callosum hypoplasia with periventricular nodular heterotopia, bicuspid aortic valve, mild pulmonary hypertension, bilateral lung hyperinflation, and gastroesophageal reflux. Filamin A is an actin-binding protein, expressed throughout the body that has several functions in cell signaling and preservation of cell shape and migration. Mutation in the FLNA gene is associated with a diverse array of disorders, including neuronal migration abnormality, and anomalies of con
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Bastin, Mark E., Jakub P. Piatkowski, Amos J. Storkey, Laura J. Brown, Alasdair M. J. MacLullich, and Jonathan D. Clayden. "Tract shape modelling provides evidence of topological change in corpus callosum genu during normal ageing." NeuroImage 43, no. 1 (2008): 20–28. http://dx.doi.org/10.1016/j.neuroimage.2008.06.047.

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