Neuroradiology

With complimentary backgrounds in basic and clinical neuroscience and a shared desire to ask (and answer) big questions, when Drs. Desikan and Sugrue met in the Neuroradiology fellowship training program at UCSF they quickly became both friends and research partners. Today as junior faculty in the Department of Radiology and Biomedical Imaging they jointly run the Laboratory for Precision Neuroimaging at UCSF.

Rahul Desikan, MD, PhD is now battling amyotrophic lateral sclerosis (ALS), one of the diseases that he studies. He and his wife shared their emotional story on Good Morning America.

Artificial intelligence (AI) technology improves the ability of brain imaging to predict Alzheimer's disease, according to a study from UCSF Radiology researchers published in the journal Radiology.

Dr. Rahul Desikan's study of genetics and ALS research is groundbreaking. He is seeking funding for his research project that will help improve understanding of ALS, identify new therapeutic targets and find out ways to prevent this neurodegenerative disease.

Peder Larson, PhD and his research group had their paper chosen as an August 2018 Editor's Pick in Magnetic Resonance in Medicine.

Neuroradiology research leaders and scientists from the UC San Francisco Department of Radiology and Biomedical Imaging had a strong presence at the 2018 ASNR Annual Meeting.

Ingrid works as a scheduler for the UC San Francisco Department of Radiology and Biomedical Imaging. After being diagnosed with benign meningioma, she became a patient. 

Michael Weiner, MD, and his team have written a paper on the Brain Health Registry that has been published in 'Alzheimer's & Dementia: The Journal of the Alzheimer's Association.'

Jennifer Yokoyama, PhD, discussed a recent UCSF-led ALS research study in a radio interview on KCBS.

Researchers have identified two previously unrecognized genetic risks that are significantly associated with amyotrophic lateral sclerosis (ALS) - one of which is also a risk factor for frontotemporal dementia (FTD). The study, published April 9, 2018 in JAMA Neurology is the largest analysis to date of genetic data in ALS.