Morphology and cell classification of large neurons in the adult human dentate nucleus: A quantitative study

Milošević, Nebojša T.; Ristanović, Dušan; Marić, Dušica L.; Rajković, Katarina

doi:10.1016/j.neulet.2009.10.063

Cited by 27 publications

(23 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dentate nucleus plays an important role as a relay centre between the cortex and other brain structures, via the superior cerebellar peduncle (SCP), which contains its efferent fibres [9][10][11]. Although atrophy of the SCP has been reported in several MRI studies in FRDA [12], the relationship of SCP changes to genetic and clinical features of FRDA has not been systemically investigated.…”

Section: Introductionmentioning

confidence: 99%

Superior Cerebellar Peduncle Atrophy in Friedreich’s Ataxia Correlates with Disease Symptoms

et al. 2010

View full text Add to dashboard Cite

Friedreich's ataxia (FRDA) is the most common early onset inherited ataxia with clinical manifestations, including gradual progression of unremitting cerebellar-sensory ataxia, peripheral sensory loss, loss of lower limb tendon reflexes and hypertrophic cardiomyopathy. Although atrophy of the superior cerebellar peduncle (SCP) has been reported in several magnetic resonance imaging (MRI) studies of FRDA, the relationship of SCP changes to genetic and clinical features of FRDA has not been investigated. We acquired T1-weighted MRI scans in 12 right-handed individuals with FRDA, homozygous for a GAA expansion in intron 1 of FXN, as well as 13 healthy age-matched controls. The corrected cross-sectional areas of the right (left) SCP in the individuals with FRDA (R, 20 ± 7.9 mm(2); L, 25 ± 5.6 mm(2)) were significantly smaller than for controls (R, 68 ± 16 mm(2); L, 78 ± 17 mm(2)) (p < 0.001). The SCP volumes of individuals with FRDA were negatively correlated with Friedreich's ataxia rating scale score (r = -0.553) and disease duration (r = -0.541), and positively correlated with the age of onset (r = 0.548) (p < 0.05). These findings suggest that structural MR imaging of the SCP can provide a surrogate marker of disease severity in FRDA and support the potential role of structural MRI as a biomarker in the evaluation of neurodegenerative diseases and therapies.

show abstract

Section: Introductionmentioning

confidence: 99%

Superior Cerebellar Peduncle Atrophy in Friedreich’s Ataxia Correlates with Disease Symptoms

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Similar analyses have been performed previously [7, 18], but these were aimed at classifying fully developed large neurons in adult humans. On the other hand, attempts to quantify development of the human dentate nucleus during gestation [9, 12] based on rather crude methods resulted in an arbitrary division into 3-4 developmental periods.…”

Section: Discussionmentioning

confidence: 99%

“…The size of neurons was estimated by measuring the neuron area ( A ) in accordance with the procedure outlined earlier [18]. Briefly, the binary image of neuron was imported in Image J and number of pixels was calculated (Analyze : Histogram : List).…”

Section: Methodsmentioning

confidence: 99%

Mathematical Model of Neuronal Morphology: Prenatal Development of the Human Dentate Nucleus

Rajković

Bačić

Ristanović

et al. 2014

BioMed Research International

Self Cite

View full text Add to dashboard Cite

The aim of the study was to quantify the morphological changes of the human dentate nucleus during prenatal development using mathematical models that take into account main morphometric parameters. The camera lucida drawings of Golgi impregnated neurons taken from human fetuses of gestational ages ranging from 14 to 41 weeks were analyzed. Four morphometric parameters, the size of the neuron, the dendritic complexity, maximum dendritic density, and the position of maximum density, were obtained using the modified Scholl method and fractal analysis. Their increase during the entire prenatal development can be adequately fitted with a simple exponential. The three parameters describing the evolution of branching complexity of the dendritic arbor positively correlated with the increase of the size of neurons, but with different rate constants, showing that the complex development of the dendritic arbor is complete during the prenatal period. The findings of the present study are in accordance with previous crude qualitative data on prenatal development of the human dentate nucleus, but provide much greater amount of fine details. The mathematical model developed here provides a sound foundation enabling further studies on natal development or analyzing neurological disorders during prenatal development.

show abstract

“…They divided the cells of the dentate nucleus into two groups: large neurons with long axons, and small neurons with short axons. The morphology of the mature neurons of the dentate nucleus has been described in human (Braak and Braak 1983;Larsell and Jansen 1972;Mihajlovic and Zecevic 1986;Ristanović et al 2010;Milošević et al 2010). Based on most reports a conclusion can be drawn that the relatively large principal cells are predominant, while small local circuit neurons are disseminated throughout the nuclear gray matter.…”

Section: The Neuronal Classes In the Human Dentate Nucleusmentioning

confidence: 99%

On the classification of normally distributed neurons: an application to human dentate nucleus

2011

Self Cite

View full text Add to dashboard Cite

One of the major goals in cellular neurobiology is the meaningful cell classification. However, in cell classification there are many unresolved issues that need to be addressed. Neuronal classification usually starts with grouping cells into classes according to their main morphological features. If one tries to test quantitatively such a qualitative classification, a considerable overlap in cell types often appears. There is little published information on it. In order to remove the above-mentioned shortcoming, we undertook the present study with the aim to offer a novel method for solving the class overlapping problem. To illustrate our method, we analyzed a sample of 124 neurons from adult human dentate nucleus. Among them we qualitatively selected 55 neurons with small dendritic fields (the small neurons), and 69 asymmetrical neurons with large dendritic fields (the large neurons). We showed that these two samples are normally and independently distributed. By measuring the neuronal soma areas of both samples, we observed that the corresponding normal curves cut each other. We proved that the abscissa of the point of intersection of the curves could represent the boundary between the two adjacent overlapping neuronal classes, since the error done by such division is minimal. Statistical evaluation of the division was also performed.

show abstract

Morphology and cell classification of large neurons in the adult human dentate nucleus: A quantitative study

Cited by 27 publications

References 12 publications

Superior Cerebellar Peduncle Atrophy in Friedreich’s Ataxia Correlates with Disease Symptoms

Superior Cerebellar Peduncle Atrophy in Friedreich’s Ataxia Correlates with Disease Symptoms

Mathematical Model of Neuronal Morphology: Prenatal Development of the Human Dentate Nucleus

On the classification of normally distributed neurons: an application to human dentate nucleus

Contact Info

Product

Resources

About