Biophotonics Research Center Attribution Non-Commercial Yes Washington University in St. Louis NITRC NeuroDOT Adam Eggebrecht NeuroDOT, a MATLAB- and Python- based self-contained toolbox, addresses common challenges in processing of functional near infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) data. NeuroDOT supports multiple common pre-processing and analytical pipelines for simulation, data-anatomy alignment and modeling, pre-processing, data quality control, reconstruction, spectroscopy, post-processing, and extensive data visualizations at all stages of processing. We also provide pre-assembled, anonymized, and published data samples from our lab to reflect common experimental paradigms in neuroimaging including visual, language, and resting tasks for human brain mapping. Visualization and analysis tools provide powerful and intuitive explorations of data and data quality. Register to receive development updates, news about workshops, and individual help from the NeuroDOT team: https://tinyurl.com/NeuroDOT . The latest release version of NeuroDOT is v1.3 (March 1 2024). 2024-4-19 NeuroDOT_py 2024-4-19 sfNIRS 2024 Workshop 2024-4-19 OHBM 2022 Workshop 2024-4-19 sfNIRS 2022 Workshop 2024-3-01 NeuroDOT v1.3 (v1.3) 2024-1-09 XNAT_and_OXI_Support_Files 2023-6-24 NeuroDOT v1.2 (v1.2) 2023-6-20 NeuroDOT Tutorials 2023-5-30 Schroeder et al. 2023 Language Production 2023-3-02 NeuroDOT Resting State Dataset (.snirf) 2023-3-01 NeuroDOT Resting State Dataset (.mat) 2022-10-06 NeuroDOT v1.1 (v1.1) 2022-9-15 NeuroDOT Release v1.0 (v1.0) 2022-7-06 A Matrices 2022-6-30 NeuroDOT NITRC Release on GitHub 2022-6-30 Spectroscopy NeuroDOT Attribution Non-Commercial, Optical Imaging http://www.nitrc.org/projects/neurodot/ aeggebre@wustl.edu