| Literature DB >> 26386691 |
Ana Tereza Di Lorenzo Alho1,2,3, Claudia Kimie Suemoto1,4, Lívia Polichiso1, Edilaine Tampellini1, Kátia Cristina de Oliveira1,2, Mariana Molina1, Glaucia Aparecida Bento Santos1,3, Camila Nascimento1, Renata Elaine Paraizo Leite1,4, Renata Eloah de Lucena Ferreti-Rebustini1,4, Alexandre Valotta da Silva1,3, Ricardo Nitrini1,5, Carlos Augusto Pasqualucci1,6, Wilson Jacob-Filho1,4, Helmut Heinsen2,6, Lea Tenenholz Grinberg7,8,9.
Abstract
The human brain undergoes non-uniform changes during aging. The substantia nigra (SN), the source of major dopaminergic pathways in the brain, is particularly vulnerable to changes in the progression of several age-related neurodegenerative diseases. To establish normative data for high-resolution imaging, and to further clinical and anatomical studies we analyzed SNs from 15 subjects aged 50-91 cognitively normal human subjects without signs of parkinsonism. Complete brains or brainstems with substantia nigra were formalin-fixed, celloidin-mounted, serially cut and Nissl-stained. The shapes of all SNs investigated were reconstructed using fast, high-resolution computer-assisted 3D reconstruction software. We found a negative correlation between age and SN volume (p = 0.04, rho = -0.53), with great variability in neuronal numbers and density across participants. The 3D reconstructions revealed SN inter- and intra-individual variability. Furthermore, we observed that human SN is a neuronal reticulum, rather than a group of isolated neuronal islands. Caution is required when using SN volume as a surrogate for SN status in individual subjects. The use of multimodal sequences including those for fiber tracts may enhance the value of imaging as a diagnostic tool to assess SN in vivo. Further studies with a larger sample size are needed for understanding the structure-function interaction of human SN.Entities:
Keywords: 3D reconstruction; Aging brain; Celloidin mounting; Stereology; Substantia nigra
Mesh:
Year: 2015 PMID: 26386691 PMCID: PMC4799775 DOI: 10.1007/s00429-015-1108-6
Source DB: PubMed Journal: Brain Struct Funct ISSN: 1863-2653 Impact factor: 3.270