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- Title
Human Neocortex Layer Features Evaluated by PIXE, STIM, and STXM Techniques.
- Authors
Jobim, Paulo Fernandes Costa; Iochims dos Santos, Carla Eliete; Dias, Johnny Ferraz; Kelemen, Mitja; Pelicon, Primož; Mikuš, Katarina Vogel; Pascolo, Lorella; Gianoncelli, Alessandra; Bedolla, Diana Eva; Rasia-Filho, Alberto Antônio
- Abstract
The human neocortex has a cytoarchitecture composed of six layers with an intrinsic organization that relates to afferent and efferent pathways for a high functional specialization. Various histological, neurochemical, and connectional techniques have been used to study these cortical layers. Here, we explore the additional possibilities of swift ion beam and synchrotron radiation techniques to distinguish cellular layers based on the elemental distributions and areal density pattern in the human neocortex. Temporal cortex samples were obtained from two neurologically normal adult men (postmortem interval: 6–12 h). A cortical area of 500 × 500 μm2 was scanned by a 3 MeV proton beam for elemental composition and areal density measurements using particle induced x-ray emission (PIXE) and scanning transmission ion microscopy (STIM), respectively. Zinc showed higher values in cortical layers II and V, which needs a critical discussion. Furthermore, the areal density decreased in regions with a higher density of pyramidal neurons in layers III and V. Scanning transmission X-ray microscopy (STXM) revealed the cellular density with higher lateral resolution than STIM, but not enough to distinguish each cortical lamination border. Our data describe the practical results of these approaches employing both X-ray and ion-beam based techniques for the human cerebral cortex and its heterogeneous layers. These results add to the potential approaches and knowledge of the human neocortical gray matter in normal tissue to develop improvements and address further studies on pathological conditions.
- Subjects
PARTICLE induced X-ray emission; EFFERENT pathways; NEOCORTEX; AFFERENT pathways; GRAY matter (Nerve tissue); INTERNEURONS; ENTORHINAL cortex
- Publication
Biological Trace Element Research, 2023, Vol 201, Issue 2, p592
- ISSN
0163-4984
- Publication type
Article
- DOI
10.1007/s12011-022-03182-x