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research.html
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<!DOCTYPE html>
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<a class="nav-link" href="/research">RESEARCH</a>
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<h2>RESEARCH</h2>
<h5 class="text-secondary fw-normal py-2 fst-italic">A collection of current research projects</h5>
</div>
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<h3 class="text-left">Metabolic Syndrome and Cogntion</h3>
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<p class="text-left">
Metabolic Syndrome (MetS) is defined as cluster of five cardiometabolic disease risk factors namely,
hypertension, diabetes mellitus, dylipidemia, and obesity. <b>But do the MetS components produce linear
effects on cognition, or certain combinations of MetS components have more pronounced effect than others? </b>
Currently, I am looking into the effect of MetS on cognition by looking into variety of factors ranging
from sociodemographic, clinical, cognitive, blood biochemistry and MRI in community-dwelling rural cohort of India.
</p>
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<h3 class="text-left">Menopause and Cognition</h3>
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<p class="text-left">
Menopause is one of the contributing factor which increases the risk of cognitive decline in women. <b>What is the
minimum threshold or years of reduced estrogen exposure due to menopause produces cognitive changes?</b> Currently,
I am looking into effect of endogenous estrogen on cognitive in post-menopausal women by looking into their WM
microstructure integrity using DTI, in addition to structural and functional connectivity in community-dwelling rural
cohort of India.
</p>
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<h3 class="text-left">Social Network and Cognition</h3>
<h5 class="text-secondary text-center fw-normal py-0 fst-italic"></h5>
<p class="text-left">
Engaging in social acitivities and relationships can enhance cognitive reserve and
theoritically delay cognitive decline. <b> What characteristics of social network
is beneficial? Is it network size or diversity? </b> Currently, I am looking into
cognitive, clinical and neuroimaging based evidences to differentiate the role of social
network characteristics on cognitive performance in rural aging Indians.
</p>
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<h3 class="text-left">Efficient 3D MRI Transformation</h3>
<h5 class="text-secondary text-center fw-normal py-0 fst-italic"></h5>
<p class="text-left">
In absense of labelled/annotated MRI data, 3D CNN can be difficult to train. <b> What if 3D MRI images can be
transformed into 2D slice while retaining the information?</b> Currently, reviewing literature and replicating
various transformation techniques. The goal is to build a library of various 3D transformation techniques and
compare the efficiency of each on CNN models.
</p>
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