3D structural complexity analysis of cerebellum in Chiari malformation type I

Akar, Engin; Kara, Sadık; Akdemir, Hidayet; Kiris, Adem

doi:10.1007/s11517-017-1661-7

Cited by 18 publications

(20 citation statements)

References 57 publications

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“…Fractal dimensions of different layers of the cerebellar cortex also were not determined individually. In the studies [2,17] the FD values of the gray matter also exceed the corresponding values of the white matter, which corresponds to results of the present study. The values of 3D fractal dimension exceed the values obtained in the present study, because the threedimensional FD can vary from 2 to 3 and theoretically always exceeds the two-dimensional FD, which has a value from 1 to 2.…”

Section: Discussionsupporting

confidence: 91%

“…The difference between the average values of fractal dimension obtained in the study [1] and in the present study may be due to the difference in the number of studied objects, differences in algorithms of the image preprocessing and segmentation and difference in methods of fractal analysis (box counting and pixel dilation, respectively). In other works, the values of 3D fractal dimension of the white and gray matter of the cerebellum were determined [2,17]. The average values of 3D fractal dimension of the white matter were 2.26±0.05 [2] and 2.2746±0.0446 [17] and the average values 3D fractal dimension of the gray matter were 2.49±0.04 [2] and 2.5267 ± 0.0228 [17].…”

Section: Discussionmentioning

confidence: 96%

“…The studies on fractal analysis of the cerebellum in the scientific literature in general are not numerous [1,2,6,17]. The values of the fractal dimensions of the white matter and cortex of the cerebellum were determined differentially in some studies.…”

Section: Discussionmentioning

confidence: 99%

“…In other works, the values of 3D fractal dimension of the white and gray matter of the cerebellum were determined [2,17]. The average values of 3D fractal dimension of the white matter were 2.26±0.05 [2] and 2.2746±0.0446 [17] and the average values 3D fractal dimension of the gray matter were 2.49±0.04 [2] and 2.5267 ± 0.0228 [17]. Fractal dimensions of different layers of the cerebellar cortex also were not determined individually.…”

Section: Discussionmentioning

confidence: 99%

“…The cerebellum is a typical structure with fractal properties, so fractal analysis is one of the main morphometric techniques that allow a comprehensive assessment of its morphofunctional state [1,2,6,17].…”

Section: Introductionmentioning

confidence: 99%

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Fractal dimension of the cortex and white matter of human cerebellum (magnetic resonance imaging study)

Maryenko

Stepanenko

2020

Biomed. and Biosoc. Anthrop.

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The cerebellum is a typical structure with fractal properties, so fractal analysis is one of the main morphometric techniques that allow a comprehensive assessment of its morphofunctional state; the development of methods for differential measurement of the fractal dimension of various components of cerebellar tissue is necessary for complex morphological examination of the cerebellum using fractal analysis. The aim of the study was to develop an algorithm for differential fractal analysis and to determine the values of the fractal dimension of the cortex and white matter of human cerebellum using the study of magnetic resonance imaging scans. Digital T2 weighted magnetic resonance imaging scans of 30 conditionally healthy persons were used in the study. Fractal analysis of the distinct components of the cerebellar tissue was performed using the pixel dilation method. The fractal dimension values for all threshold brightness values (from 0 to 255) were determined. The confidence interval of the fractal dimension values based on the average values of the fractal dimension of the entire range of brightness values was calculated. Algorithms for image preprocessing were developed for an individual study of the different components of the cerebellum: cerebellar tissue as a whole, white matter, molecular and granular layers of the cortex. A differential fractal analysis technique has been developed to assess individual components of the cerebellar tissue. The values of the fractal dimension of white matter, granular and molecular layers of the cerebellar cortex were determined. The values of the fractal dimension of cerebellar tissue as a whole and the fractal dimension of the cerebellar cortex as a whole were the biggest. These values exceed the value of the fractal dimension of white matter. The average value of the fractal dimension (FD) for the threshold value of 80 (white matter) was 1.318±0.050, for the value of 90 (white matter and the granular layer of the cortex) was 1.568±0.028, for the value of 100 (cerebellar tissue as a whole) was 1.694±0.010. The average FD of the granular layer of the cortex (brightness range 81-90) was 1.377±0.020, the FD of the molecular layer of the cortex (brightness range 91-100) was 1.353±0.020, the average FD of the cerebellar cortex as a whole (brightness range 81-100) was 1.564±0.018. The obtained data can be used as diagnosis criteria to assess the morphofunctional state of the cerebellum using magnetic resonance imaging.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 96%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fractal dimension of the cortex and white matter of human cerebellum (magnetic resonance imaging study)

Maryenko

Stepanenko

2020

Biomed. and Biosoc. Anthrop.

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Comprehensive assessment of supratentorial and infratentorial volumes in infants with myelomeningocele with and without Chiari malformation type II

Hashimoto,

Shimada,

Takemoto

et al. 2024

Neuroradiology

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Purpose Chiari malformation type II (CM-II) is a congenital anomaly commonly associated with myelomeningocele (MMC), a severe form of open spina dysraphism. This study aimed to evaluate both supratentorial and infratentorial volumes in MMC infants with and without CM-II. Methods We conducted a single-center, retrospective study of 52 MMC infants treated between April 2006 and July 2023. Infants were classified as non-CM-II or CM-II based on the presence of cerebellar displacement. All patients underwent computed tomography (CT) at 0 months of age. Volumetric parameters included intracranial volume (ICV), lateral ventricles volume (LVV), posterior cranial fossa volume (PCFV), cerebellum volume (CBMV), and brainstem volume (BSV). LVV represented supratentorial structures, while PCFV, CBMV, and BSV represented infratentorial structures. Results CM-II was diagnosed in 30 infants (57.7%). Correlation analysis revealed significant negative correlations between supratentorial (LVV) and infratentorial volumes (PCFV, CBMV, and BSV), and positive correlations among volumes within the same space(e.g., PCFV, CBMV, and BSV). CM-II infants exhibited significantly larger ICV (p = 0.04) and LVV (p < 0.001), but smaller PCFV (p < 0.001) and CBMV (p < 0.001) than non-CM-II infants. LVV was the best predictor for distinguishing non-CM-II from CM-II (area under the curve = 0.91). Conclusion This study identified positive correlations within the same space and negative correlations between supratentorial and infratentorial volumes. LVV emerged as a critical indicator of CM-II, reflecting the relationship between reduced infratentorial space and enlarged supratentorial ventricles (hydrocephalus). These findings provide insights into the pathophysiology and clinical implications of CM-II in MMC patients.

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Cognition in Chiari Malformation Type I: an Update of a Systematic Review

García,

Amayra,

Pérez

et al. 2023

Neuropsychol Rev

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Chiari malformation has been classified as a group of posterior cranial fossa disorders characterized by hindbrain herniation. Chiari malformation type I (CM-I) is the most common subtype, ranging from asymptomatic patients to those with severe disorders. Research about clinical manifestations or medical treatments is still growing, but cognitive functioning has been less explored. The aim of this systematic review is to update the literature search about cognitive deficits in CM-I patients. A literature search was performed through the following electronic databases: MEDLINE, PsychINFO, Pubmed, Cochrane Library, Scopus, and Web of Science. The date last searched was February 1, 2023. The inclusion criteria were as follows: (a) include pediatric or adult participants with a CM-I diagnosis, (b) include cognitive or neuropsychological assessment with standardized tests, (c) be published in English or Spanish, and (d) be empirical studies. Articles that did not report empirical data, textbooks and conference abstracts were excluded. After the screening, twenty-eight articles were included in this systematic review. From those, twenty-one articles were focused on adult samples and seven included pediatric patients. There is a great heterogeneity in the recruited samples, followed methodology and administered neurocognitive protocols. Cognitive functioning appears to be affected in CM-I patients, at least some aspects of attention, executive functions, visuospatial abilities, episodic memory, or processing speed. However, these results require careful interpretation due to the methodological limitations of the studies. Although it is difficult to draw a clear profile of cognitive deficits related to CM-I, the literature suggests that cognitive dysfunction may be a symptom of CM-I. This suggest that clinicians should include cognitive assessment in their diagnostic procedures used for CM-I. In summary, further research is needed to determine a well-defined cognitive profile related to CM-I, favoring a multidisciplinary approach of this disorder.

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3D structural complexity analysis of cerebellum in Chiari malformation type I

Cited by 18 publications

References 57 publications

Fractal dimension of the cortex and white matter of human cerebellum (magnetic resonance imaging study)

Fractal dimension of the cortex and white matter of human cerebellum (magnetic resonance imaging study)

Comprehensive assessment of supratentorial and infratentorial volumes in infants with myelomeningocele with and without Chiari malformation type II

Cognition in Chiari Malformation Type I: an Update of a Systematic Review

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