Reorganization of central auditory pathways in vestibular schwannoma: a diffusion tensor imaging study.

Purpose: Objective information about the central auditory pathways in vestibular schwannoma can guide strategies for hearing rehabilitation and prognostication. This study aims to generate this information using diffusion tensor imaging (DTI).

Methods: This is a prospective observational single center study including 35 patients with vestibular schwannoma and 40 controls.

Detecting Eye Disease Using Vision Transformers Informed by Ophthalmology Resident Gaze Data.

We showcase two proof-of-concept approaches for enhancing the Vision Transformer (ViT) model by integrating ophthalmology resident gaze data into its training. The resulting Fixation-Order-Informed ViT and Ophthalmologist-Gaze-Augmented ViT show greater accuracy and computational efficiency than ViT for detection of the eye disease, glaucoma.Clinical relevance- By enhancing glaucoma detection via our gaze-informed ViTs, we introduce a new paradigm for medical experts to directly interface with medical AI, leading the way for more accurate and interpretable AI 'teammates' in the ophthalmic clinic.

Camouflage Detection and Its Association with Cognitive Style: A Functional Connectivity Study.

Individual differences exist in performance in tasks that require visual search, such as camouflage detection (CD). Field dependence/independence (FD/I), as assessed using the Group Embedded Figures Test (GEFT), is an extensively studied dimension of cognitive style that classifies participants based on their visual perceptual styles. In the present study, we utilized fMRI on 46 healthy participants to investigate the underlying neural mechanisms specific to the cognitive styles of FD/FI while performing a CD task using both activation magnitude and an exploratory functional connectivity (FC) analysis.