Objective: Our purpose is to describe a method of resecting occipital pole gliomas through a keyhole lobectomy and share the patient outcomes of this technique.
Methods: We performed a retrospective review of data obtained on all patients who underwent resection of occipital pole gliomas by the senior author between 2012 and 2016. We describe our technique for resecting these tumors using a keyhole lobectomy and share the patient outcomes of this operation.
Results: Eight patients were included in this study. Four patients (50%) had not received previous surgery. One patient (13%) was diagnosed with a World Health Organization grade II tumor, and 7 patients (88%) were diagnosed with glioblastoma. Two tumors (25%) were left sided and 6 (75%) right sided. The median size of resection was 28 cm. The median extent of resection was 96%, and at least 90% of the tumor was resected in all cases. None of the patients experienced permanent postoperative complications. Temporary neurologic complications included 3 patients (38%) with encephalopathy and 1 patient (13%) with aphasia. There were no neurosurgical complications.
Conclusions: Our study provides details on the technical aspects of occipital keyhole lobectomies and gives the outcomes of patients who have received an operation for tumors in this uncommon location. Taking white matter tract anatomy into consideration, we show that the keyhole method can be applied to gliomas of the occipital lobe.
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http://dx.doi.org/10.1016/j.wneu.2017.06.181 | DOI Listing |
J Affect Disord
January 2025
Department of Psychiatry, University of North Carolina at Chapel Hill, United States of America. Electronic address:
Background: Half of perimenopausal women experience depressive symptoms, including anhedonia. Anhedonia is associated with dysregulation of the frontostriatal circuit. Both the frontrostriatal circuit and depression may be regulated by the reproductive hormone estradiol (E2).
View Article and Find Full Text PDFBrain Struct Funct
January 2025
CHRIST (Deemed to be University), Bangalore, Karnataka, India.
In this investigation, we delve into the neural underpinnings of auditory processing of Sanskrit verse comprehension, an area not previously explored by neuroscientific research. Our study examines a diverse group of 44 bilingual individuals, including both proficient and non-proficient Sanskrit speakers, to uncover the intricate neural patterns involved in processing verses of this ancient language. Employing an integrated neuroimaging approach that combines functional connectivity-multivariate pattern analysis (fc-MVPA), voxel-based univariate analysis, seed-based connectivity analysis, and the use of sparse fMRI techniques to minimize the interference of scanner noise, we highlight the brain's adaptability and ability to integrate multiple types of information.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Neurology, Dalian Municipal Central Hospital of Dalian University of Technology, Dalian, 116033, Liaoning, China.
Brain Cogn
January 2025
Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada; Département de Psychologie, Université de Montréal, Montreal, QC, Canada. Electronic address:
Background: About half of MCI patients experience semantic deficits, which may predict progression to Alzheimer's disease (AD). The neural basis of these deficits in MCI is not well understood. This study aimed to examine the relationship between semantic memory performance and cortical thickness in MCI patients.
View Article and Find Full Text PDFPLoS One
December 2024
Université Paris-Saclay, CEA, NeuroSpin, Gif-sur-Yvette, France.
Functional connectivity (FC) of resting-state fMRI time series can be estimated using methods that differ in their temporal sensitivity (static vs. dynamic) and the number of regions included in the connectivity estimation (derived from a prior atlas). This paper presents a novel framework for identifying and quantifying resting-state networks using resting-state fMRI recordings.
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