PubMed Health⌕ Search

PubMed · 1520508

[Development of human cerebellar granular layer: a morphometric study].

Abstract

Development of the cerebellar granular layer, the external granular layer (EGL) and the internal granular layer (IGL), was studied morphologically to make complete serial sections of the brain from human fetuses ranging 12 to 40 weeks' gestation (WG). To examine the chronological changes and the regional differences, we measured the thickness of the layer microscopically among five different parts of the cerebellum: anterior lobe/hemisphere (AH), anterior lobe/vermis (AV), posterior lobe/hemisphere (PH), posterior lobe/vermis (PV) and flocculus (FL). EGL was the most superficial layer composed of densely packed undifferentiated cells. Its thickness showed little changes during the fetal period of 12-40 WG for all parts except FL where EGL was thicker than those in other parts and made a gradual attenuation with development. We noticed at least three stages in the fetal development of IGL: 1) the primary or undifferentiated stage (before 18 WG) when IGL was hardly distinguishable from the layer of immature Purkinje cells (PCL); 2) the secondary or intermediate stage (18 to 30 or 35 WG) when it was clearly visible and almost stable in thickness for all parts; 3) the tertiary or developing stage (30 or 35 to 40 WG) when it showed a dramatic increase in thickness as the formation of cerebellar folia was proceeding. During the intermediate stage the Lamina dissecans was observed between PCL and IGL typically in PH. Regional differences were detected in a period of transition from the intermediate to the developing stage among each part: the developing stage appeared earliest in AV and FL and latest in PH.(ABSTRACT TRUNCATED AT 250 WORDS)

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

K Yamaguchi, N Goto, T Nara. 1992. [Development of human cerebellar granular layer: a morphometric study].. https://pubmed.ncbi.nlm.nih.gov/1520508/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

G2019S mutation in the leucine-rich repeat kinase 2 gene is not associated with multiple system atrophy.

Multiple system atrophy (MSA) is characterized clinically by Parkinsonism, cerebellar dysfunction, and autonomic impairment. Multiple mutations in the LRRK2 gene are associated with parkinsonian disorders, and the most common one, the G2019S mutation, has been found in approximately 1% of sporadic cases of Parkinsonism. In a well-characterized cohort of 136 subjects with probable MSA and 110 neurologically evaluated control subjects, none carried the G2019S mutation. We conclude that the G2019S mutation in the LRRK2 gene is unlikely to be associated with MSA.

Cerebellum↗

Gordon Holmes Lecture: Gordon Holmes and the neurological heritage.

Sir Gordon Holmes is one of the great figures in the history of twentienth century neurology. In him, there came together the traditions of German and British neurology which moulded a physiological approach to normal and disordered function of the nervous system with a commitment to interpreting clinical phenomena in the light of meticulous pathological examination. He, more than any other individual, was responsible for the form of the neurological examination as it is now performed; and his insights are fundamental to the way that, nowadays, we think about vision, somato-sensory function, the spinal cord and the cerebellum.

Cerebellum↗

A model of cerebrocerebello-spinomuscular interaction in the sagittal control of human walking.

A computationally developed model of human upright balance control (Jo and Massaquoi on Biol cybern 91:188-202, 2004) has been enhanced to describe biped walking in the sagittal plane. The model incorporates (a) non-linear muscle mechanics having activation level -dependent impedance, (b) scheduled cerebrocerebellar interaction for control of center of mass position and trunk pitch angle, (c) rectangular pulse-like feedforward commands from a brainstem/ spinal pattern generator, and (d) segmental reflex modulation of muscular synergies to refine inter-joint coordination. The model can stand when muscles around the ankle are coactivated. When trigger signals activate, the model transitions from standing still to walking at 1.5 m/s. Simulated natural walking displays none of seven pathological gait features. The model can simulate different walking speeds by tuning the amplitude and frequency in spinal pattern generator. The walking is stable against forward and backward pushes of up to 70 and 75 N, respectively, and with sudden changes in trunk mass of up to 18%. The sensitivity of the model to changes in neural parameters and the predicted behavioral results of simulated neural system lesions are examined. The deficit gait simulations may be useful to support the functional and anatomical correspondences of the model. The model demonstrates that basic human-like walking can be achieved by a hierarchical structure of stabilized-long loop feedback and synergy-mediated feedforward controls. In particular, internal models of body dynamics are not required.

Cerebellum↗