Neuroimaging
CANlab Github Repository: Our main fMRI analysis tools (Matlab)
SPM: fMRI analysis tool for Statistical Paramatric Mapping
Principles of fMRI: Coursera videos taught by Tor Wager (my PhD advisor) and Martin Lindquist
Mumford brain stats: Jeanette Mumford’s awesome video tutorials and lessons about different neuroimaging data analysis strategies
Neurosynth: Large-scale, automated meta-analysis tool for fMRI
Neurovault: A repository of brain activation maps
Neurohackweek 2016 videos
Neuroimaging data-sharing platforms
INDI: International Data-sharing Initiative
NITRC: Neuroimaging Informatics Tools and Resources Clearinghouse
LONI IDA: Laboratory of Neuro Imaging Image & Data Archive
COINS: Collaborative Informatics and Neuroimaging Suite
NA-MIC: National Alliance for Medical Image Computing
OpenfMRI: https://openfmri.org
Publicly available neuroimaging data
ABIDE:
Autism Brain Imaging Data Exchange (Autism; rs-fMRI)
ADHD-200:
Attention Deficit Hyperactivity Disorder-200 (ADHD; rs-fMRI)
ADNI:
Alzheimer’s Disease Neuroimaging Initiative (Alzheimer’s; Multimodal including sMRI, fMRI, PET)
AIBL:
Australian Imaging, Biomarkers & Lifestyle Flagship Study of Aging (Alzheimer’s; Multimodal including sMRI, PET)
OASIS: Open Access Series of Imaging Studies (Alzheimer’s; sMRI)
iSPOT-D:
international Study to Predict Optimized Treatment for Depression (Depression; Multimodal including EEG, dMRI, fMRI, sMRI)
MCIC:
MIND Clinical Imaging Consortium (Schizophrenia; Multimodal including dMRI, fMRI, sMRI)
COBRE:
Center of Biomedical Research Excellence (Schizophrenia; sMRI, rs-fMRI)
fBIRN:
function Biomedical Informatics Research Network (Schizophrenia; fMRI, sMRI)
PPMI:
Parkinson’s Progression Markers Initiative (Parkinson’s; Multimodal, including dMRI, fMRI, sMRI, PET)
PAIN:
Pain and Interoception Imaging Network (Pain; Multimodal, including dMRI, fMRI, sMRI)
OpenPain:
http://www.openpain.org (Pain; fMRI)
Note: dMRI, fMRI and sMRI refer to diffusion-weighted, functional and structural MRI, respectively; rs-fMRI refers to resting-state fMRI.
Data analysis
The Elements of Statistical Learning (Hastie, Tibshirani, Friedman, 2009): Good textbook for statistical/machine learning
Video lectures for Statistical Learning (youtube) (by Hastie and Tibshirani)
Video lectures for Linear Algebra (youtube) taught by Prof. Gilbert Strang
MIT 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning taught by Prof. Gilbert Strang
Machine learning with Matlab: free ebook (it’s more like a brochure, though).
Scikit-learn: Machine Learning in Python
Kaggle: A great platform for machine learning and prediction
Webweb: A good Network visualization tool
</span>
Podcast etc.
Brain Inspired: My favorite! “A podcast where neuroscience and AI converge.”
Brain Matters: This podcast is so much fun. This podcast provides interesting interviews with real neuroscientists.
Talking Machines: Podcast about machine learning
Invisibilia: NPR podcast about invisible forces that control human behavior – ideas, beliefs, assumptions and emotions.
Note to self: This podcast is about humanity in digital age.
Radiolab: Interesting stories about science, philosophy, and human experience.
Nature: Nature podcast that features highlighted content from the week’s edition of Nature.
Allen Institute (youtube): Videos from Allen Institute
Acapella Science (youtube): Tim Blais’s awesome music & science!
Affinity Designer (youtube): Video tutorials for a cool image tool
PBS Spacetime (youtube): Very cool videos about spacetime physics
</span>
</ul>