Multi-sensory gamma stimulation ameliorates Alzheimer's-associated pathology and improves cognition

Changes in gamma activity (30-90 Hz) have been observed in humans and animal-models of Alzheimer's disease (AD). Examining the relationship between gamma oscillations and disease pathology is a significant problem in neuroscience. Recent work using a non-invasive light flicker at 40 Hz, termed Gamma ENtrainment Using Sensory stimulus, or 'GENUS', was shown to impact pathology in the visual cortex of AD-mouse models. However, it is not known whether other sensory modalities at 40 Hz can change pathology in higher order brain regions, or affect cognition, in AD-like animal models. In this thesis, I combine in vivo electrophysiology, biochemical and imaging techniques, and behavioral assays to understand the effects of multi-sensory gamma stimulation in AD-like animals. I first show that auditory tone stimulation at 40 Hz (auditory GENUS) can drive gamma frequency neural activity in auditory cortex (AC) and hippocampal CA1. I then demonstrate that seven days of auditory GENUS results in improved spatial and recognition memory and reduced amyloid load in AC and hippocampus of 5XFAD mice. These changes in activation responses were evident in microglia, astrocytes, and vasculature. Additionally, auditory GENUS reduced phosphorylated tau in the tau P301S model. Finally, I demonstrate that combined auditory and visual GENUS, but not either alone, decreases amyloid and produces a microglial-clustering response in the medial prefrontal cortex. Whole brain analysis using SHIELD processing revealed widespread reduction of amyloid plaques throughout neocortex after multi-sensory GENUS. These findings suggest that GENUS can be achieved through multiple sensory modalities with wide-ranging effects across multiple brain areas to improve cognitive function.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Martorell, Anthony J., Ph. D. (Anthony James) Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Li-Huei Tsai.

• Brain and Cognitive Sciences.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/132749

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/132749