Brain Networks Lab
@RajLab_UCSF
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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
Check out our recent blog on abnormal brain activity in Alzheimer's disease! Featuring work by Parul Verma, PhD and Ashish Raj, PhD!.
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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: @CNSorg.
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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).
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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).
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Here, we develop a computational framework that jointly embeds both functional and structural connectomes. (2/4).
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Hot off the press: A joint subspace mapping between structural and functional brain connectomes (1/4).
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RT @UCSF_BCHSI: Tomorrow, 2/28! Bakar Lab presentations in-person/Zoom, 1pm. Predictive Modeling Leveraging EHR IDs Early Predictors of Alz….
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RT @UCSF_Ci2: New blog post: 'UCSF Ci2 Researchers Review Structure-Function Models in Non-Invasive Whole Brain Imaging' .
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Check out our latest article 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.
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RT @UCSF_Ci2: Drs. @RajLab_UCSF, @parulv1 & @srinagarajan argue the need for models that can jointly capture temporal, spatial & spectral f….
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RT @UCSF_Ci2: Drs. @RajLab_UCSF, @parulv1 & @srinagarajan present recent work on #SpectralGraphTheory-based models that can accurately capt….
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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.
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RT @RajLab_UCSF: Check out our recent review article in Translation Research, "Connectome-based biophysics models of Alzheimer’s disease di….
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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).
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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).
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We review past and current efforts to mathematically model #Alzheimers pathology at a whole-brain level. At their core, all of these models describe the trans-synaptic spread of species such as amyloid-beta and tau (e.g., see our seminal paper: (2/4).
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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.
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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).
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