Tag: Connectomics

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Transforming Neurosurgery With Spatial Computing: Enhancing Intraoperative Visualization and Precision Through Augmented Reality

Operative Neurosurgery 30:760–764, 2026

This technical note reports three neurosurgical cases using the Medivis surgical augmented reality platform with the Microsoft HoloLens 2 to overlay real-time 3D imaging, exoscopic, and endoscopic outputs intraoperatively. The workflow, registration method, hardware and software integration, and case-specific operative details are described, with all patients recovering without complications.

The report evaluates benefits and limitations of wearable XR in the operating room, highlighting improved visualization, surgical precision, and ergonomics, while addressing challenges such as registration accuracy, latency, cognitive overload, and avenues for future hardware and software improvements.

Goal Integrate wearable XR/AR and spatial computing into neurosurgical operating rooms to enhance intraoperative visualization, precision, and ergonomics.

System setup Three neurosurgical cases used the Medivis SurgicalAR platform paired with a Microsoft HoloLens 2 worn by the primary surgeon, enabling overlay of 3D volumes and intraoperative video in the surgeon’s field of view.

Imaging workflow Preoperative CT/MRI (including tractography/connectomic imaging when available) were uploaded from PACS, processed quickly (windowing/coloring/cropping/brightening), and stored for OR use, then linked to the HoloLens.

Registration approach Intraoperative holographic point-matching registration matched physical landmarks on the patient to virtual fiducials via an optical localizer recognized by HoloLens 2, with an FDA-approved navigation system also used in all cases for confirmation.

Video integration Exoscopic/endoscopic outputs were captured and streamed to the AR computer and transmitted to the HoloLens for real-time manipulation and interaction by the surgeon.

Observed benefits Combined overlays improved visualization and supported ergonomic operating posture, optimized sight lines, and reduced OR footprint while maintaining standard team visualization via the exoscope monitor.

Case outcomes All three patients recovered well postoperatively without complications; no critical intraoperative issues from latency/dropped frames prevented procedure completion.

Limitations & next steps Key challenges include potential cognitive overload/inattentional blindness, hologram registration accuracy, and technical issues like latency/dropped frames; future work targets improved/universal registration and broader overlayable data streams (e.g., conferencing, checklists).

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Multi-institutional recommendations on the use of 7T MRI in deep brain stimulation

J Neurosurg 143:1165–1175, 2025

This multi-institutional review presents consensus recommendations for integrating 7T ultrahigh-field MRI into deep brain stimulation (DBS) workflows, drawing on experience from over 1,000 procedures. It summarizes technical challenges—B1+ heterogeneity, susceptibility and gradient nonlinear distortions—and practical solutions for acquisition, distortion correction, and coregistration to ensure stereotactic accuracy.

The document details optimized sequences and target-specific imaging strategies (STN, GPi, thalamic nuclei, ANT, CM), advanced modalities (DTI/DiMANI, QSM, tractography), and multidisciplinary workflow considerations to improve patient-specific anatomical and connectivity-based DBS targeting and programming.

• 7T MRI Advantages: Ultrahigh-field 7T MRI provides superior spatial resolution, signal-to-noise ratio, and tissue contrast, enabling clearer visualization of deep brain structures critical for deep brain stimulation (DBS) targeting compared to 1.5T and 3T MRI.

• Improved DBS Targeting: 7T MRI enhances direct anatomical and connectivity-based targeting for DBS, supporting more precise, patient-specific electrode placement for Parkinson’s disease, essential tremor, and epilepsy.

• Key Technical Challenges: 7T MRI introduces unique challenges including B1+ transmit field inhomogeneity, increased image distortions (gradient nonlinearity and susceptibility), and chemical shift artifacts, all of which require specialized correction and protocol optimization.

• Distortion Correction and Coregistration: Accurate DBS planning with 7T MRI demands robust correction for gradient and susceptibility distortions, careful coregistration with stereotactic CT, and often manual or nonlinear registration adjustments for optimal anatomical alignment.

• Recommended Imaging Sequences: Specific 7T MRI sequences, such as T2-weighted, FGATIR, MP2RAGE, SWI, QSM, and advanced diffusion imaging (DTI/DiMANI), are recommended for visualizing common DBS targets (STN, GPi, thalamic nuclei), each offering distinct advantages for different structures.

• Connectivity and Tractography: Advanced diffusion MRI at 7T allows submillimetric tractography, enabling functional parcellation of DBS targets (e.g., STN, GPi, DRTT), which can improve patient outcomes by supporting symptom- and network-specific targeting.

• Clinical Impact: Implementation of 7T MRI in over 1000 DBS procedures across multiple centers has demonstrated that, with appropriate workflow and expertise, technical challenges can be managed and targeting accuracy and patient outcomes can be improved.

• Multidisciplinary Collaboration: Effective use of 7T MRI for DBS requires close collaboration between neurosurgeons, MR technicians, physicists, and neuroradiologists to optimize protocols and address the complexity of ultrahigh-field imaging

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Alterations in Functional Connectomics Associated With Neurocognitive Changes Following Glioma Resection

Neurosurgery 88,(3)2021: 544–551

Decline in neurocognitive functioning (NCF) often occurs following brain tumor resection. Functional connectomics have shown how neurologic insults disrupt cerebral networks underlying NCF, though studies involving patients with brain tumors are lacking.

OBJECTIVE: To investigate the impact of brain tumor resection upon the connectome and relationships with NCF outcome in the early postoperative period.

METHODS: A total of 15 right-handed adults with left perisylvian glioma underwent resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychological assessment before and after awake tumor resection. Graph theoretical analysiswas applied to rs-fMRI connectivity matrices to calculate network properties. Network properties and NCF measures were compared across the pre- to postoperative periods with matched pairs Wilcoxon signed-rank tests.Associations between pre- to postoperative change in network and NCF measures were determined with Spearman rank-order correlations (ρ).

RESULTS: A majority of the sample showed postoperative decline on 1 or more NCF measures. Significant postoperative NCF decline was found across measures of verbal memory, processing speed, executive functioning, receptive language, and a composite index. Regarding connectomic properties, betweenness centrality and assortativity were significantly smaller postoperatively, and reductions in these measures were associated with better NCF outcomes. Significant inverse associations (ρ = −.51 to −.78, all P < .05) were observed between change in language, executive functioning, and learning and memory, and alterations in segregation, centrality, and resilience network properties.

CONCLUSION: Decline in NCF was common shortly following resection of glioma involving eloquent brain regions, most frequently in verbal learning/memory and executive functioning. Better postoperative outcomes accompanied reductions in centrality and resilience connectomic measures.

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