www.biorxiv.org/content/10.1...
By Neuroscience News
Source: Penn State University
neurosciencenews.com/rsfmri-brain...
♦️ rsfMRI measures brain activity by tracking blood flow changes but may miss “invisible” neural signals.
#neuroscience #brain #rsfMRI #fMRI #neuralsignals
By Neuroscience News
Source: Penn State University
neurosciencenews.com/rsfmri-brain...
♦️ rsfMRI measures brain activity by tracking blood flow changes but may miss “invisible” neural signals.
#neuroscience #brain #rsfMRI #fMRI #neuralsignals
🔥Ingenious new method [1] learns from jointly collected ASL (arterial spin labeling), SPECT, and rsFMRI to infer blood flow from fMRI
💡Cool as you can now estimate perfusion from 10000s of scans, of people who don't have ASL or SPECT 👇
🔥Ingenious new method [1] learns from jointly collected ASL (arterial spin labeling), SPECT, and rsFMRI to infer blood flow from fMRI
💡Cool as you can now estimate perfusion from 10000s of scans, of people who don't have ASL or SPECT 👇
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.1...
www.biorxiv.org/content/10.1...
www.nature.com/articles/s41...
www.nature.com/articles/s41...
like we showed in humans, rats, and mice previously, claustrum has widespread connectivity to the cortex, especially prefrontal, cingulate, and posterior parietal
direct.mit.edu/imag/article...
like we showed in humans, rats, and mice previously, claustrum has widespread connectivity to the cortex, especially prefrontal, cingulate, and posterior parietal
direct.mit.edu/imag/article...
“Aphasia severity prediction using a multi-modal machine learning approach”
by Xinyi Hu, Maria Varkanitsa, Emerson Kropp, Margrit Betke, Prakash Ishwar & Swathi Kiran
🔗 doi.org/10.1016/j.ne...
#Aphasia #NeuroAI #StrokeRecovery
“Aphasia severity prediction using a multi-modal machine learning approach”
by Xinyi Hu, Maria Varkanitsa, Emerson Kropp, Margrit Betke, Prakash Ishwar & Swathi Kiran
🔗 doi.org/10.1016/j.ne...
#Aphasia #NeuroAI #StrokeRecovery
Paper Link: soveshmohapatra.com/research/TRe...
#Neuroimaging #rsfMRI #DeepLearning #NeonatalBrain #Brain
Paper Link: soveshmohapatra.com/research/TRe...
#Neuroimaging #rsfMRI #DeepLearning #NeonatalBrain #Brain
When I started contributing to the field of dance neuroscience, there was only a case study on the neural impact of dance in Parkinson’s. Incredible to share our randomized, controlled trial with 57 participants using rsfMRI pre- and post-intervention.
www.medrxiv.org/content/10.6...
When I started contributing to the field of dance neuroscience, there was only a case study on the neural impact of dance in Parkinson’s. Incredible to share our randomized, controlled trial with 57 participants using rsfMRI pre- and post-intervention.
www.medrxiv.org/content/10.6...
Also, I bet rsfMRI differences between groups usually reflect differences in alertness and emotional state more than anything specific
Also, I bet rsfMRI differences between groups usually reflect differences in alertness and emotional state more than anything specific
🤯☣️No deep learning (!)
💡SVM is used, input is the time-series spectrum of the rsFMRI at each voxel in the brain
💡Includes segmented T1-weighted image for partial volume correction
🤯☣️No deep learning (!)
💡SVM is used, input is the time-series spectrum of the rsFMRI at each voxel in the brain
💡Includes segmented T1-weighted image for partial volume correction
shorturl.at/hsEL4 rsFMRI and functional connectivity changes in response to #aphasia #treatment #rehabilitation
shorturl.at/hsEL4 rsFMRI and functional connectivity changes in response to #aphasia #treatment #rehabilitation
V. important section is about controversies: confounds for resting-state fMRI are movement and physiological factors, such as cardiovascular activity and breathing.
I wonder what share of the rsfMRI signal can be explain by these confounds.
V. important section is about controversies: confounds for resting-state fMRI are movement and physiological factors, such as cardiovascular activity and breathing.
I wonder what share of the rsfMRI signal can be explain by these confounds.