Noe Cazares
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Noe Cazares has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Akhilesh R. R. Yeluru
Department of Bioengineering, University of California San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841
1 shared publication - Albert Hsiao
Department of Radiology, University of California San Diego, La Jolla, Calif
1 shared publication Arielle Tycko
Department of Radiology, University of California San Diego, La Jolla, Calif
1 shared publicationAye Theint Theint
1 shared publicationChao Peng
1 shared publication- Evan M. Masutani
Department of Bioengineering, University of California San Diego, 9300 Campus Point Dr, La Jolla, CA 92037-0841
1 shared publication
Latest Publications
- Open Access
- 6 November 2026
- Published by Springer Nature in npj Parkinson's Disease
Cortical α-synuclein pathology induces neuronal hypoactivity and circuit changes but not functional impairments in a model of early Lewy body dementia
Posterior cortical impairments in visuospatial/perceptual function are common non-motor symptoms of the Lewy Body Dementias (LBD) and are relatively specific for LBDs compared to other dementias. Across populations, cognitive impairments correlate with the presence of α-synuclein (α-syn) pathology in limbic and neocortical brain regions. However, the specific role that α-syn pathology plays in driving cortical circuit dysfunction and cognitive impairment remains controversial. We hypothesized that inducing α-syn pathology in primary visual cortex (V1) in mice would impair neuronal activity and encoding of visual information, leading to visuoperceptual impairments. To test this, we injected α-syn pre-formed fibrils (PFF) into V1, causing the formation of sparse Lewy-like pathology. Using longitudinal in vivo two-photon (2P) calcium imaging over 6 months, we recorded visually evoked activity of pyramidal cells in layer 2/3 (L2/3) and quantified α-syn pathology using C05-05, a fluorescent ligand that binds aggregated α-syn. Measuring population activity, we found a greater percentage of neurons in PFF-injected mice were responsive to visual stimuli with lower direction selectivity compared to controls at 4–5 months post-injection (MPI). Neurons with somatic Lewy-like inclusions showed reduced activity compared to neighboring neurons without inclusions. Conversely, neurons without somatic inclusions showed increased activity, positively correlated with the local burden of α-syn pathology. Using a coherent motion discrimination task, we found no impairments in visuoperceptual ability in PFF-injected mice. Our results demonstrate that α-syn pathology leads to reductions in neuronal activity in cells with somatic inclusions and reciprocal changes in local population activity but does not impair visuoperceptual function. Reflecting the early stages of neocortical α-syn pathology, our model provides a framework for future studies to better understand the heterogeneity of cognitive symptoms and α-syn pathology across patients.
- 6 November 2026
- Published by Springer Nature in npj Parkinson's Disease
Open AccessCortical α-synuclein pathology induces neuronal hypoactivity and circuit changes but not functional impairments in a model of early Lewy body dementia
Posterior cortical impairments in visuospatial/perceptual function are common non-motor symptoms of the Lewy Body Dementias (LBD) and are relatively specific for LBDs compared to other dementias. Across populations, cognitive impairments correlate with the presence of α-synuclein (α-syn) pathology in limbic and neocortical brain regions. However, the specific role that α-syn pathology plays in driving cortical circuit dysfunction and cognitive impairment remains controversial. We hypothesized that inducing α-syn pathology in primary visual cortex (V1) in mice would impair neuronal activity and encoding of visual information, leading to visuoperceptual impairments. To test this, we injected α-syn pre-formed fibrils (PFF) into V1, causing the formation of sparse Lewy-like pathology. Using longitudinal in vivo two-photon (2P) calcium imaging over 6 months, we recorded visually evoked activity of pyramidal cells in layer 2/3 (L2/3) and quantified α-syn pathology using C05-05, a fluorescent ligand that binds aggregated α-syn. Measuring population activity, we found a greater percentage of neurons in PFF-injected mice were responsive to visual stimuli with lower direction selectivity compared to controls at 4–5 months post-injection (MPI). Neurons with somatic Lewy-like inclusions showed reduced activity compared to neighboring neurons without inclusions. Conversely, neurons without somatic inclusions showed increased activity, positively correlated with the local burden of α-syn pathology. Using a coherent motion discrimination task, we found no impairments in visuoperceptual ability in PFF-injected mice. Our results demonstrate that α-syn pathology leads to reductions in neuronal activity in cells with somatic inclusions and reciprocal changes in local population activity but does not impair visuoperceptual function. Reflecting the early stages of neocortical α-syn pathology, our model provides a framework for future studies to better understand the heterogeneity of cognitive symptoms and α-syn pathology across patients.
- 1 February 2026
- Published by Radiological Society of North America (RSNA) in Radiology: Cardiothoracic Imaging
- Vol. 8 (1) , e250138
Deep Learning Automated Measurement of Shunt Severity with Estimation of Uncertainty in 4D Flow MRI
A fully automated deep learning–based system can be trained to measure systemic and pulmonary blood flow and shunt fraction using four-dimensional flow MRI with accuracy and reliability similar to that of expert physicians.
- 1 February 2026
- Published by Radiological Society of North America (RSNA) in Radiology: Cardiothoracic Imaging
- Vol. 8 (1) , e250138
Deep Learning Automated Measurement of Shunt Severity with Estimation of Uncertainty in 4D Flow MRI
A fully automated deep learning–based system can be trained to measure systemic and pulmonary blood flow and shunt fraction using four-dimensional flow MRI with accuracy and reliability similar to that of expert physicians.