FMRI
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Chang receives $1.1 million grant to investigate brain-body connections, advance understanding of how brains age
An assistant professor of electrical and computer engineering has received a $1.1 million NIH grant to investigate brain-body connections and advance understanding of aging in normal and pathological brains. Catie Chang, assistant professor of electrical and computer engineering, leads the research team, which will focus on developing machine learning methods… Read MoreOct. 11, 2021
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Chang receives Early Career Award for advancing fMRI data analysis
An assistant professor of electrical and computer engineering has received a $1.1 million NIH grant to investigate brain-body connections and advance understanding of aging in normal and pathological brains. Catie Chang, assistant professor of electrical and computer engineering, leads the research team, which will focus on developing machine learning methods… Read MoreJul. 25, 2019
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Team shows MRI technique detects spinal cord changes in MS patients
An assistant professor of electrical and computer engineering has received a $1.1 million NIH grant to investigate brain-body connections and advance understanding of aging in normal and pathological brains. Catie Chang, assistant professor of electrical and computer engineering, leads the research team, which will focus on developing machine learning methods… Read MoreApr. 25, 2018
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fMRI maps electrical activity in brain as precisely as more invasive methods, study finds
An assistant professor of electrical and computer engineering has received a $1.1 million NIH grant to investigate brain-body connections and advance understanding of aging in normal and pathological brains. Catie Chang, assistant professor of electrical and computer engineering, leads the research team, which will focus on developing machine learning methods… Read MoreMay. 31, 2017
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Grissom receives foundation’s first 2014 external research award
An assistant professor of electrical and computer engineering has received a $1.1 million NIH grant to investigate brain-body connections and advance understanding of aging in normal and pathological brains. Catie Chang, assistant professor of electrical and computer engineering, leads the research team, which will focus on developing machine learning methods… Read MoreApr. 29, 2014
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Professor helps validate maps of the brain’s resting state
An assistant professor of electrical and computer engineering has received a $1.1 million NIH grant to investigate brain-body connections and advance understanding of aging in normal and pathological brains. Catie Chang, assistant professor of electrical and computer engineering, leads the research team, which will focus on developing machine learning methods… Read MoreJun. 19, 2013