Purpose: To describe a case of right carotid-anterior cerebral artery (ACA) anastomosis with a unique course in the proximal segment.
Methods: A 78-year-old woman with a history of right carotid endarterectomy 2 years prior underwent cranial magnetic resonance (MR) imaging (MRI) and magnetic resonance angiography (MRA) of the head and neck regions separately using a 3.0-Tesla scanner. MRA was performed using a standard 3-dimensional time-of-flight technique.
Results: MRA of the intracranial region revealed no pathological lesions. However, a large artery arose from the ophthalmic segment of the right ICA, took an anteromedial course and after making a hairpin turn, continued to the bilateral A2 segments of the ACA. Bilateral A1 segments of the ACA were absent. MRA source images and oblique sagittal reformatted images showed that the anomalous artery was running inferior to the right optic nerve, indicative of carotid-ACA anastomosis or an infraoptic course of the ACA. As some patients have an ipsilateral normal A1 segment, the latter name seems to be inadequate.
Conclusion: We encountered a case of right carotid-ACA anastomosis in which the proximal segment had a unique course, ran anteromedially, and made a hairpin turn. This type has not been reported in the relevant English-language literature. Usually, this variation takes a medial course and ascends between the bilateral optic nerves. Careful observation of MRA images, including their source images, is required for the correct diagnosis of this rare variation.
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http://dx.doi.org/10.1007/s00276-025-03606-y | DOI Listing |
Endocr Regul
January 2025
1Endocrinology and Internal Medicine Department, Fattouma Bourguiba University Hospital, Monastir, Tunisia.
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Radiology Center, Division of Integrated Facilities, Institute of Science Tokyo Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, Japan.
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Sci Adv
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Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
The human brain has a remarkable ability to learn and update its beliefs about the world. Here, we investigate how thermosensory learning shapes our subjective experience of temperature and the misperception of pain in response to harmless thermal stimuli. Through computational modeling, we demonstrate that the brain uses a probabilistic predictive coding scheme to update beliefs about temperature changes based on their uncertainty.
View Article and Find Full Text PDFSci Adv
March 2025
College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
Brain age gap (BAG), the deviation between estimated brain age and chronological age, is a promising marker of brain health. However, the genetic architecture and reliable targets for brain aging remains poorly understood. In this study, we estimate magnetic resonance imaging (MRI)-based brain age using deep learning models trained on the UK Biobank and validated with three external datasets.
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