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World Neurosurg ; 185: e1136-e1143, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38493894

RESUMO

BACKGROUND AND OBJECTIVES: Several studies are currently exploring the anatomical origins of superior longitudinal fascicule (SLF) 2 and SLF-3, which are components of the frontoparietal network. This study aimed to achieve optimum visualization of the anatomical corridors of these fibers using Photoshop filters. METHODS: Four postmortem brain hemispheres were dissected in accordance with the method proposed by Klingler and Ludwig. Dissections were performed under a surgical microscope (Carl Zeiss AG, Oberkochen, Germany) at 4× and 40× magnification. All dissections were documented at each stage using a professional digital camera (Canon EOS 600D) with a macro 100 mm lens (Canon), ring-flash attachment (Canon), and professional tripod (Manfrotto 808 C4). We aimed to improve the visual quality of the images by avoiding monotone using various the features and filters in Photoshop. RESULTS: SLF-2 originates from the angular gyrus (Brodmann area [BA] 39) in the right hemisphere and has been observed to project fibers from BA7 and BA19 and toward BA8, 9, 10, and 46. Further, these fibers traverse from the depths of BA40, 2, 3, 1, and 6 as they progress. SLF-2 also projects fibers from the supramarginal gyrus in the left hemisphere. SLF-3 lies between the supramarginal gyrus and the inferior frontal lobe in both the right and left hemispheres. CONCLUSIONS: The visual descriptions of the dissections were enriched after using Photoshop to avoid monotony. Increasing the visual quality with Photoshop features enable us to gain a better understanding of these pathways. Additionally, it facilitates the comprehension of the symptoms associated with pathology. We hope these results will further aid in reducing the occurrence of postoperative complications.


Assuntos
Lobo Parietal , Humanos , Lobo Parietal/anatomia & histologia , Lobo Parietal/diagnóstico por imagem , Cadáver , Vias Neurais/anatomia & histologia , Vias Neurais/diagnóstico por imagem , Lobo Frontal/anatomia & histologia , Lobo Frontal/diagnóstico por imagem , Processamento de Imagem Assistida por Computador/métodos , Software
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