Twitter account for the lab of Dr. Ashish Raj, a professor of Radiology at UCSF. Our research focuses on modeling brain networks in the context of human disease
San Francisco, California
Joined November 2019
- Tweets94
- Following179
- Followers393
- Likes87
Check out our recent blog on abnormal brain activity in Alzheimer's disease! Featuring work by Parul Verma, PhD and Ashish Raj, PhD!
radiology.ucsf.edu/blog/ucsf…
Come join us for our workshop on "Graph modeling of macroscopic brain functional activity dynamics" at CNS*2023 on July 19th, Leipzig, Germany
Workshop details can be found here: raj-lab-ucsf.github.io/cns20…
@CNSorg
Hot off the press: A joint subspace mapping between structural and functional brain connectomes sciencedirect.com/science/ar… (1/4)
By concurrently estimating the joint eigenmodes and the functional eigenspectrum, we can reconstruct a given subject’s functional connectivity from their structural connectome. (3/4)
Brain Networks Lab retweeted
Tomorrow, 2/28! Bakar Lab presentations in-person/Zoom, 1pm. Predictive Modeling Leveraging EHR IDs Early Predictors of Alzheimer’s Disease @AliceTang_mstp
@SirotaLab A spectral graph modeling of brain oscillations @parulv1
@RajLab_UCSF Rm WGVCV 208 or ucsf.zoom.us/j/95080523321?p…
Brain Networks Lab retweeted
New blog post: 'UCSF Ci2 Researchers Review Structure-Function Models in Non-Invasive Whole Brain Imaging' bit.ly/3uNgTTD via @UCSF_Ci2. @rajlab_ucsf @parulv1
Check out our latest article nature.com/articles/s41598-0… describing Nexopathy in silico (Nexis), an extension of our previous NDM, which can quantify the effects of molecular nexopathy on the spread of tau. Here we quantify how microglia affect the diffusion and aggregation of tau.
Brain Networks Lab retweeted
Drs. @RajLab_UCSF, @parulv1 & @srinagarajan argue the need for models that can jointly capture temporal, spatial & spectral features of brain functional activity. bit.ly/3SbJlaE
Brain Networks Lab retweeted
Drs. @RajLab_UCSF, @parulv1 & @srinagarajan present recent work on #SpectralGraphTheory-based models that can accurately capture spectral as well as spatial patterns across multiple frequencies in #MEG reconstructions. bit.ly/3SbJlaE
If you're attending the #NiSALS meeting in Milan tomorrow, check out Ashish Raj's keynote lecture on Network-constrained techniques to characterize spread of pathology in neurodegenerative disease
NiSALS is the Neuroimaging Society in #ALS meeting being held in Milan from Oct 10th-11th
Brain Networks Lab retweeted
Check out our recent review article in Translation Research, "Connectome-based biophysics models of Alzheimer’s disease diagnosis and prognosis" - short 🧵to follow! (1/4) #Alzheimers #neuroscience
sciencedirect.com/science/ar…
Check out our recent review article in Translation Research, "Connectome-based biophysics models of Alzheimer’s disease diagnosis and prognosis" - short 🧵to follow! (1/4) #Alzheimers #neuroscience
sciencedirect.com/science/ar…
However, the biology of #Alzheimers is very complex! The neuroimmune response, selective vulnerability, and AD-induced functional deficits (among other mechanisms!) all play a role in determining the propagation of protein-based pathology and ultimately neurodegeneration. (3/4)
We detail recent work towards the "next generation" of connectome-based biophysics models that take into account more of these key features, as well as propose ways in which these approaches can be augmented and integrated to obtain clinically impactful models! #ENDALZ (4/4)
Check out our latest review article on "Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging" 🧠 (1/4)
frontiersin.org/articles/10.…
We argue the need for models that can jointly capture temporal, spatial, and spectral features of brain functional activity. (3/4)