The current approaches to visuospatial assessment in neuropsychology and behavioral neurology are analogue, paper-and-pencil type tests, that are far outmoded in the digital era. In contrast, retinal perimetry or visual field tests in ophthalmology (which maps deficits in ocular fields) have long been digitized – using computerized presentations and analysis. Visuospatial assessment, which looks at higher brain processes in spatial cognition, is in urgent need of a data-centric software platform for medical researchers and professionals to make it easier to (a) map out visuospatial dynamics, and (b) link patient performance data to brain imaging data. The first step in this process is to create a computational grid-based visuospatial assessment platform. The goal of this project is to create a grid-based visuospatial assessment platform for medical researchers and professionals. This platform will enable the mapping of visuospatial dynamics and the integration of patient performance data with brain imaging data. The app will consist of two screens: 1. A clinician’s screen to configure test settings and monitor patient performance 2. A patient’s screen to conduct various visuospatial tests. Currently implemented tests include: • Letter Test: Selecting letters on a grid • Color Change Test: Identifying changes in color on one half of an image • Flashing Test: Detecting a flashing half of an image Tasks Completed last Semester: • Patient Intake Form • Patient Database • Grid Color Change • Half of the House Color Change • Flashing Half of the House • Control and Navigation Panels