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Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients.
Sci Rep
January 2025
Department of Obstetrics and Gynecology, Mianyang Central Hospital, University of Electronic Science and Technology of China, Mianyang, 621000, Sichuan, China.
Objective Endometrial lesions are a frequent complication following breast cancer, and current diagnostic tools have limitations. This study aims to develop a machine learning-based nomogram model for predicting the early detection of endometrial lesions in patients. The model is designed to assess risk and facilitate individualized treatment strategies for premenopausal breast cancer patients.
View Article and Find Full Text PDFTemporal Dynamics of Affective Scene Processing in the Healthy Adult Human Brain.
Neurosci Biobehav Rev
January 2025
Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. Electronic address:
Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds.
View Article and Find Full Text PDFSecond-language speakers are more likely to strategically reuse the words of their conversation partners (Zhang & Nicol, 2022). This study investigates if this is also the case for lower-proficiency bilinguals from a bilingual community, who use language more implicitly, and if there is more alignment with lower than with higher proficiency, provided the words to be aligned to are all highly familiar. In two experiments, Spanish-English bilinguals took turns with a confederate to name and match pictures in Spanish.
View Article and Find Full Text PDFMini-strokes within Broca-caudate connections during left insular glioma awake surgery cause transient severe naming deficits.
Acta Neurochir (Wien)
December 2024
Frontlab, Paris Brain Institute, CNRS UMR 7225, INSERM U1127, Paris, France.
Objective: To provide an explanation for the intraoperative onset of severe naming deficits in the course of awake resection of left insular glioma.
Methods: We retrospectively reviewed a series of 14 patients operated on in awake conditions for a left insular IDH-mutated glioma. Preoperative MRI included high-resolution diffusion sequences, to which constrained spherical deconvolution pipeline was applied, to obtain a whole brain tractogram.
Item response theory for the color-picture version of Boston naming test in a Chinese sample with neurodegenerative diseases.
J Alzheimers Dis
December 2024
Innovation Center for Neurological Disorders, Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Although Boston Naming Test has been thoroughly validated at a global level, there is limited assessment of item-level properties using modern psychometric methods.
Objective: This study aimed to investigate the construct validity and item-level properties of the color-picture version of Boston Naming Test (CP-BNT) in a Chinese cohort with neurodegenerative diseases.
Methods: This retrospective study included 424 participants, consisting of 118 normal controls, 152 with Alzheimer's disease, 101 with primary progressive aphasia, and 53 with other neurodegenerative diseases.
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