Grant: CIHR Fellowship
Direct Payment
$150,000.00
Dissecting hippocampal-amygdala circuit dynamics to predict depression vulnerability
FY 2019-20
Summary
Depression is a major health issue, but we lack long-term effective treatment. This is partly due to our limited understanding of the disease biology. Recent research suggests that depression patients show abnormalities in interactions between brain regions that can in turn serve as useful indicators for identifying individuals susceptible to the disease. In particular, changes in interactions between hippocampus and amygdala, two regions critical for processing emotional information in the brain, can be used to predict patients' variation in mood. The goal of my postdoctoral research is to explore the mechanisms and neural circuits underlying changes in hippocampal-amygdala interactions in the depressed population. Specifically, I will identify the cells and circuits underpinning hippocampal-amygdala interactions that track with mood and examine how they are altered in population susceptible to depression. In addition, I will test how we can manipulate the neural circuit to reduce susceptibility. The findings will give new insight into the mechanisms by which depression alters the processing of emotional information in the brain and should inspire novel diagnostic and therapeutic approaches for the disease.
Department
Program
CIHR Fellowship
Recipient
Location
California, United States of America
Type
Grant
Source
CIHR Funding Decisions Database
As published
Id
412523
Name
Xia Frances
Region
California
Country
United States of America
Orgtype
Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Fellowships - Post-PhD
Projecttitle
Dissecting hippocampal-amygdala circuit dynamics to predict depression vulnerability
Programtype2
Fellowship Programs
Orgnameinp2
Direct Payment
Cihramount2
$150,000
Cihrequipment2
$0
Programname2
CIHR Fellowship
Keyworddelim
Chronic Social Defeat Stress; Depression; In Vivo Electrophysiology; Neuroscience
Abstract
Depression is a major health issue, but we lack long-term effective treatment. This is partly due to our limited understanding of the disease biology. Recent research suggests that depression patients show abnormalities in interactions between brain regions that can in turn serve as useful indicators for identifying individuals susceptible to the disease. In particular, changes in interactions between hippocampus and amygdala, two regions critical for processing emotional information in the brain, can be used to predict patients' variation in mood. The goal of my postdoctoral research is to explore the mechanisms and neural circuits underlying changes in hippocampal-amygdala interactions in the depressed population. Specifically, I will identify the cells and circuits underpinning hippocampal-amygdala interactions that track with mood and examine how they are altered in population susceptible to depression. In addition, I will test how we can manipulate the neural circuit to reduce susceptibility. The findings will give new insight into the mechanisms by which depression alters the processing of emotional information in the brain and should inspire novel diagnostic and therapeutic approaches for the disease.
Competitiondate
201910
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Xia, Frances
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $150,000~ $0~