February 2026 monthly summary focusing on key accomplishments, business value, and technical achievements across the spm/spm and spm/spm-docs repositories.

January 2026 monthly summary: Delivered targeted improvements to EEG preprocessing guidance and montage robustness across repositories, enhancing user safety and pipeline reliability. Key features delivered include Enhanced Preprocessing User Guidance for M/EEG with clearer batch-step documentation and a safety warning for All(1) channel selection in spm/spm-docs, and a robust fix for EEG Montage balance field validation to prevent errors when the balance field is missing or empty in spm/spm. Impact: clearer guidance reduces misconfigurations, safer default behaviors, and fewer runtime errors, translating to lower support load and faster user onboarding. Technologies demonstrated: documentation best practices, defensive validation patterns, and small, focused commits that improve quality and maintainability.

December 2025 monthly summary for spm/spm-docs focused on documentation quality and user-ready neuroimaging guidance. Delivered consolidated MEEG Tutorial Documentation Enhancements, including updated preprocessing and source reconstruction run instructions, expanded group analysis guidance with fMRI priors, corrected typographical errors, and introduced a new Small Volume Correction (SVC) figure. Work demonstrates strong attention to reproducibility, clarity, and user onboarding.

November 2025 performance summary for spm/spm and spm-docs: Delivered new ERP power analysis capability for brain imaging, introduced group-level M/EEG source reconstruction with fMRI priors and batch processing, and completed documentation improvements to support onboarding and advanced analyses. No major bug fixes reported; ongoing improvements focused on reliability, clarity, and multimodal integration across repositories. The work establishes a scalable foundation for ERP/MEEG analytics and enhances cross-repo collaboration.

In Oct 2025, delivered substantial feature and documentation enhancements across spm-spm-docs and spm-spm, with a focus on improved onboarding, educational content, and UI-enabled data analysis workflows. Effort concentrated on consolidating installation and path guidance, expanding MEEG and preregistration tutorials, and enabling in-UI TF plotting, while maintaining quality with iterative fixes and configuration refinements.

Month: 2025-09 — spm/spm-docs: Desktop MATLAB Tutorials Documentation Upgrade. Implemented MATLAB 2024a compatibility across tutorials/docs, removed Copilot section not available in 2024a, expanded Desktop basics guide with a directory creation example, clarified array indexing, added a running/debugging MATLAB code section, and introduced a Desktop@UCL Anywhere overview with an installation link. These changes improve onboarding, reduce confusion for new users, and enhance long-term maintainability. No major bugs fixed this month in this repository. Overall impact: improved onboarding experience, clearer guidance for first-time users, and a more maintainable docs suite. Technologies/skills demonstrated: documentation engineering, version compatibility (MATLAB 2024a), content consolidation, and Git-based collaboration.

May 2025 - spm/spm-docs: Fixed missing figure in documentation by centering the figure container with inline CSS, improving readability and doc reliability. Commit: d9d72cbe0c34dee8955c7f7edf2105747a513e99. Impact: clearer docs, reduced user confusion, smoother onboarding. Skills demonstrated: CSS inline styling, documentation quality, precise version control.

January 2025 monthly summary for spm/spm: Delivered a flexible F-contrast specification in batch processing by introducing a reduced-model approach that allows listing specific design matrix columns to include or exclude. This feature mirrors the GUI F-contrast workflow, enabling more flexible, scalable, and automated batch analyses. Result: improved reproducibility, faster batch runs, and closer parity between GUI and batch workflows. This work increases business value by aligning batch analytics with GUI capabilities, reducing manual configuration, and enhancing scalability for large design matrices.

In Nov 2024, delivered a critical reliability enhancement in the spm/spm EEG preprocessing workflow by implementing a fail-fast mechanism in spm_eeg_remove_bad_trials. This change enforces an error when no good trials exist, replacing a prior warning and preventing downstream processing with invalid data. The modification halts execution early in critical scenarios, improving data integrity and reducing downstream failures. The work demonstrates defensive programming and strong quality control in preprocessing pipelines.