Purpose: Understanding the vascular variability of the inferior temporal occipital regions is essential for microsurgical approaches to this cerebral zone. To this end, we carried out a microanatomical study of the inferior temporal cortical branches of the posterior cerebral artery (PCA) in order to define their vascularisation territories.
Methods: We studied 40 cerebral hemispheres (20 brains) under an operating microscope. Three brains were fixed in Winkler's solution with latex arterial perfusion and the other 17 brains were fixed in formaldehyde solution.
Results: Our revised classification was based on the following findings. First, the anterior hippocampal artery was always associated with the anterior temporal artery, with the two sharing the vascularisation of the anterior part of the inferior temporal lobe. Second, the middle hippocampal and middle temporal arteries were never present together. Third, the presence of an anterior temporal artery always involved the presence of a posterior temporal artery. Hence, we classified the temporal branches of the PCA into three new patterns. The first pattern includes the anterior and posterior temporal arteries without the anterior hippocampal artery. The second pattern includes the anterior hippocampal artery and anterior and posterior temporal arteries. The third pattern includes the common temporal artery. The first pattern was found most frequently (n = 23, 57.5%), followed by the second (n = 9, 22.5%) and third patterns (n = 8, 20%).
Conclusions: We propose a revised classification of the inferior temporal branches of the PCA that takes into account their vascularisation territories.
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http://dx.doi.org/10.1007/s00276-011-0921-8 | DOI Listing |
Brain Struct Funct
January 2025
Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, HSF III, R1173, Baltimore, MD, 21202, USA.
The brain entropy (BEN) reflects the randomness of brain activity and is inversely related to its temporal coherence. In recent years, BEN has been found to be associated with a number of neurocognitive, biological, and sociodemographic variables such as fluid intelligence, age, sex, and education. However, evidence regarding the potential relationship between BEN and brain structure is still lacking.
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Department of Otolaryngology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Background: Sudden sensorineural hearing loss (SSNHL) is associated with abnormal changes in the brain's central nervous system. Previous studies on the brain networks of SSNHL have primarily focused on functional connectivity within the brain. However, in addition to functional connectivity, structural connectivity also plays a crucial role in brain networks.
View Article and Find Full Text PDFClin Ophthalmol
January 2025
Department of Ophthalmology, Manhattan Eye, Ear, and Throat Hospital/Northwell Health, New York, NY, USA.
Purpose: To assess the diagnostic capability of pattern electroretinography (PERG) and varying circumpapillary optical coherence tomography (OCT) scan diameters in glaucoma suspects (GS).
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Clin Ophthalmol
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Ophthalmology Department, College of Medicine, King Faisal University, Alahsa, Saudi Arabia.
Purpose: The corneal epithelium is the outermost layer of the cornea. It plays a vital role in both normal and pathological conditions of the eye surface and serves as a protective layer. This study aimed to evaluate corneal epithelial thickness (ET) and create a normative database of corneal ET for pediatric and adult age groups using MS-39 AS-OCT.
View Article and Find Full Text PDFMed Image Comput Comput Assist Interv
October 2024
Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, USA.
Delineating the normative developmental profile of functional connectome is important for both standardized assessment of individual growth and early detection of diseases. However, functional connectome has been mostly studied using functional connectivity (FC), where undirected connectivity strengths are estimated from statistical correlation of resting-state functional MRI (rs-fMRI) signals. To address this limitation, we applied regression dynamic causal modeling (rDCM) to delineate the developmental trajectories of effective connectivity (EC), the directed causal influence among neuronal populations, in whole-brain networks from infancy to adolescence (0-22 years old) based on high-quality rs-fMRI data from Baby Connectome Project (BCP) and Human Connectome Project Development (HCP-D).
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