Stereo-EEG-guided network modulation for psychiatric disorders: Interactive holographic planning.

Background: Connectomic modeling studies are expanding understanding of the brain networks that are modulated by deep brain stimulation (DBS) therapies. However, explicit integration of these modeling results into prospective neurosurgical planning is only beginning to evolve. One challenge of employing connectomic models in patient-specific surgical planning is the inherent 3D nature of the results, which can make clinically useful data integration and visualization difficult.

Holographic visualization for stereotactic neurosurgery research.

Background:: Stereotactic neurosurgical planning for the placement of depth electrodes requires the integration of wide-ranging 3D datasets on the anatomy of the patient.

Objective:: Our goal was to create an interactive group-based holographic visualization tool (HoloSNS) that facilitates evaluation of depth electrode positioning relative to the available medical imaging data, as well as models of the anatomical nuclei and structural connectivity of the brain.

Methods:: HoloSNS is currently designed to run on the HoloLens 2 platform, and was developed using the Unity Game Engine and the Mixed Reality Toolkit from Microsoft.

Mixed reality as a time-efficient alternative to cadaveric dissection.

: The extent of medical knowledge increases yearly, but the time available for students to learn is limited, leading to administrative pressures to revise and reconfigure medical school curricula. The goal of the present study is to determine whether the mixed reality platform HoloAnatomy represents an effective and time-efficient modality to learn anatomy when compared to traditional cadaveric dissection. This was a prospective, longitudinal study of medical students completing a musculoskeletal anatomy course at Case Western Reserve University School of Medicine.

Holographic Reconstruction of Axonal Pathways in the Human Brain.

Three-dimensional documentation of the axonal pathways connecting gray matter components of the human brain has wide-ranging scientific and clinical applications. Recent attempts to map human structural connectomes have concentrated on using tractography results derived from diffusion-weighted imaging data, but tractography is an indirect method with numerous limitations. Advances in holographic visualization platforms provide a new medium to integrate anatomical data, as well as a novel working environment for collaborative interaction between neuroanatomists and brain-imaging scientists.