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).
2024-3-01
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
Light Modeling, Full Data Processing, and Data Visualization Script
2022-10-06
NeuroDOT v1.1 (v1.1)
2022-10-06
NeuroDOT_py Repository
2022-10-06
XNAT Tutorial
2022-10-06
Preparation for NeuroDOT Workshop
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
2022-6-15
Preparation for Preprocessing and Data Analysis Workshop
2022-6-15
NeuroDOT_py for Pre Processing
NeuroDOT
Attribution Non-Commercial, Optical Imaging
http://www.nitrc.org/projects/neurodot/
aeggebre@wustl.edu