Embedded Files
Sleep_and_AD_Mladinov.pdfSleep & Alzheimer
MAC PEC Lecture_ Neurocognitive basis of speech and language.pptxSpeech & Language
MAC CV series lecture Carolina Alquezar final 14 November 2019.pptxProtein aggregation
Borghesani_PEC_MVPASemantic.pptxMVPA - Semantics
Neuropathological correlates of sleep disorders in Alzheimer’s disease - materials
Mihovil Mladinov, MD, Ph.D., Grinberg Lab
This talk will be focused on current pathological findings in sleep- and wake-promoting nuclei of the brain stem and hypothalamus in Alzheimer's disease (AD), and the method of stereology that we use to address this matter. An overview of typical sleep disorders in AD and the role of sleep in tau/amyloid-beta metabolism will be also provided.
Speech & Language - materials
Eduardo Europa, Ph.D., CCC-SLP, ALBA Lab, Sladjana Lukic, Ph.D., ALBA Lab
This talk will be about the neuro-cognitive basis of speech and language and how this helps us understand communication deficits in stroke and dementia. This talk is designed to be accessible to a broad range of audiences, covering fundamental concepts of language processing, deficits, and its application in our research in MAC.
Protein aggregation in neurodegenerative diseases. - materials
Dr. Carolina Alquezar-Burillo, Kao Lab
A common feature of neurodegenerative diseases is the presence of protein aggregates in the cytosol of the affected neurons. Understanding the cellular mechanisms leading to protein aggregation is essential to understand the causes of neuronal loss in neurodegenerative disease and to find new therapeutic targets. In this lecture, a summary of the current knowledge on the mechanisms leading to protein aggregation in neurodegenerative diseases will be presented.
Patterns in Brain Activation: the case study of semantic - materials
Valentina Borghesani, Ph.D., ALBA Lab
Multivariate analyses of functional neuroimaging data (also known as MVPA, and including decoding/encoding models as well as representational similarity analysis - RSA) has become a powerful tool in cognitive neuroscience. Recently, researchers (including some at the MAC!) have begun exploring its potential in clinical populations. What does it mean to look at distributed patterns of activation? What can it teach us about the brain? Let's find out together! After a brief intro on the role of functional neuroimaging (fMRI, MEG, etc..) in cognitive and clinical neuroscience, we will dive into the difference between univariate and multivariate analyses, focusing on how the latter can be leveraged within our clinical setting.
Suggested reading: Anderson, A. J., & Lin, F. (2019). How pattern information analyses of semantic brain activity elicited in language comprehension could contribute to the early identification of Alzheimer's Disease. NeuroImage: Clinical, 101788. https://doi.org/10.1016/j.nicl.2019.101788
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