Brain Networks Lab

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

[Brain Networks Lab @RajLab_UCSF]

Hot off the press paper on Tinnitus: https://t.co/HIfoBVtDEJ

[Brain Networks Lab @RajLab_UCSF]

Check out our recent blog on abnormal brain activity in Alzheimer's disease! Featuring work by Parul Verma, PhD and Ashish Raj, PhD!

https://t.co/bgwlTXQ1tZ

[Brain Networks Lab @RajLab_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: https://t.co/8iM4v5RUzC
@CNSorg

[Brain Networks Lab @RajLab_UCSF]

We perform elaborate experiments and demonstrate that the proposed algorithm for estimating functional connectivity from the structural connectome gives a competitive performance as compared to the existing benchmark methods with better interpretability. (4/4)

[Brain Networks Lab @RajLab_UCSF]

Hot off the press: A joint subspace mapping between structural and functional brain connectomes https://t.co/GEanR98mg5 (1/4)

[Brain Networks Lab @RajLab_UCSF]

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)

[UCSF Bakar Computational Health Sciences Institute @UCSF_BCHSI]

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 https://t.co/Buior3xCMF

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

New blog post: 'UCSF Ci2 Researchers Review Structure-Function Models in Non-Invasive Whole Brain Imaging' https://t.co/BJ6DVcsOoU via @UCSF_Ci2. @rajlab_ucsf @parulv1

[Brain Networks Lab @RajLab_UCSF]

Check out our latest article https://t.co/cifiQizG46 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.

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Drs. @RajLab_UCSF, @parulv1 & @srinagarajan argue the need for models that can jointly capture temporal, spatial & spectral features of brain functional activity. https://t.co/zgQYlPLtCZ

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

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. https://t.co/zgQYlPKVNr

[Brain Networks Lab @RajLab_UCSF]

NiSALS is the Neuroimaging Society in #ALS meeting being held in Milan from Oct 10th-11th

[Brain Networks Lab @RajLab_UCSF]

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

[Brain Networks Lab @RajLab_UCSF]

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

https://t.co/PphsWosVRn

[Brain Networks Lab @RajLab_UCSF]

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)

[Brain Networks Lab @RajLab_UCSF]

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

https://t.co/PphsWosVRn

[Brain Networks Lab @RajLab_UCSF]

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)

[Brain Networks Lab @RajLab_UCSF]

We present recent work on spectral graph theory based models that can accurately capture spectral as well as spatial patterns across multiple frequencies in MEG reconstructions. (4/4)

[Brain Networks Lab @RajLab_UCSF]

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)
https://t.co/zuACpNUcbI

[Brain Networks Lab @RajLab_UCSF]

We argue the need for models that can jointly capture temporal, spatial, and spectral features of brain functional activity. (3/4)