BREAKING:
President Trump has just DROPPED THE BOMB!
He announced that the DOGE is set to UNLEASH a revolutionary algorithm designed to SNIPE OUT Social Security fraud by illegal aliens & immigrants with FAKE ENROLLMENTS!
This game-changer will CLEAN UP the system, ensuring that benefits go ONLY to those who rightfully deserve them!
Sharing our ABCD fMRI preprocessing pipeline using fmriprep and XCP-D. As ABCD is a multi-site dataset, the pipeline unifies and corrects scan info and different protocols. Check our GitHub https://t.co/svYBqyufjx
We are excited to announce the release of pNet v1.0, a toolbox for computing personalized functional networks. For more information, please check our GitHub webpages: https://t.co/7rYkRKxbnx
Many thanks to our team Hongming Li, @ZhenZhou_1993, @xychen11214@LiangMa_brain
Met Barbara at Acadia National Park. She is a wonderful lady with broad knowledge in brain study and excited about recent progress in TMS treatment for depression. A bite of dark chocolate is her secret way to happiness!
Building an app to explore sparse functional networks using our non-negative matrix factorization (NMF) method (https://t.co/Eho5D9c2cx). This method offers advantages to extract individualized functional topology and connectivity, which were used for age and behavior predictions
We will release this app next year with enhanced user experience and intuitive interaction to reach more users. Also we will host workshops to guide users especially in neuroscience and clinics to take advantage of this method.
Iβm very excited to share our special issue in Progress in Neurobiology: how high spatiotemporal resolution fMRI can advance neuroscience! These fascinating articles discuss how pushing the boundaries of imaging open up new opportunities in neuroscience. https://t.co/w12n91r7vU
I spent a lot of time on this in the hopes that graduate students find it to be a helpful resource. A guide for finding, applying for, and choosing a postdoc. Things to think about.
https://t.co/kM7NkQwALN
Out today in @NatureComms our π+π¨work where we show that in #Autism
β‘οΈ(mTOR-related) excess of synapses causes aberrant fronto-striatal activity
β‘οΈ this signature can be decoded in human fMRI scans, defining an identifiable autism subtype
@IITalk
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https://t.co/2fofFgnlNC