Mini-OCTAL now supports 44 languages. The April 2026 expansion adds Swedish, Danish, Finnish, Hungarian, Czech, Russian, Bulgarian, Greek, Japanese, Korean, Indonesian, Vietnamese, Hindi, Amharic, Brazilian Portuguese, and an Africa-focused batch (Shona, Northern Ndebele, Zulu, Afrikaans, Kiswahili, Hausa) — supporting deployments across Europe, East and Southeast Asia, South Asia, the Americas, and across Africa. All languages have been or will be proofread by native speaker(s) before testing locally. We really hope we can contribute to global neuroscience!

Researchers and clinicians can now track participant progress in real time. A live web dashboard is available for every Mini-OCTAL project, showing at a glance which participants have completed which tasks — no technical knowledge required. Green means done, grey means outstanding. The dashboard updates automatically within minutes of a participant finishing, so study teams always have an up-to-date picture of data collection without needing to contact the research team.

Our analysis pipeline has been migrated from MATLAB/Windows to Python running on AWS Linux, reducing costs and significantly improving efficiency. AWS runs 24/7, meaning participant data is processed automatically the moment it arrives — day or night. Preprocessed results for each task are saved directly to each project’s repository, ready for download.

Participant ID field locks automatically when pre-filled via URL, preventing accidental edits in longitudinal studies.

Spanish translation proofread by native speaker (visiting student Miss Ines Millan Martin).

OCTAL methods paper published in npj Digital Medicine — 1,664 participants, AUC 0.96. [Zhao et al. 2026]

Preprint: OCTAL + NULISA proteomics in 391 patients identifies cognitive resilience biomarkers. [Toniolo, Zhao et al. 2025]

MiniOCTAL now supports 23 languages including Arabic, Farsi, Bengali, Tamil, and Traditional Chinese.

OCTAL identifies Alzheimer’s remotely; performance correlates with plasma pTau181. [Toniolo, Zhao et al. 2024]

Long-COVID patients show severe cognitive slowing on SRT; non-long-COVID had normal speed. [Zhao et al. 2024]

Number Vigilance Task detects attention decline in 2 min; COVID-19 patients showed minor deficit. [Zhao et al. 2022]