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<!DOCTYPE html>
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<h1 class="h1 text-white fw-medium fst-italic">Student Researcher</h1>
<h2 class="display-3 text-white fw-bold">Hitesh Pradhan</h2>
<a href="#skills" class="btn btn-lg fs-6 fw-medium mt-5 btn-primary p-3">TELL ME MORE</a>
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<h2>WHAT DO I WORK ON?</h2>
<h5 class="text-secondary fw-normal py-2 fst-italic">Continuously improving my skills and knowledge in the
field.</h5>
</div>
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<div class="card mt-5 d-flex flex-column align-items-center text-center bg-white p-4" style="width: 25rem">
<i
class="text-white bg-primary d-flex align-items-center justify-content-center fs-1 rounded-circle fa-solid fa-puzzle-piece"></i>
<h3 class="mt-4 h4">Neuroimaging</h3>
<p class="text-center">Working with multimodal neuroimaging data to identify early changes
associated with structural and functional characteristics of the brain
</p>
</div>
<div class="card mt-5 d-flex flex-column align-items-center text-center bg-white p-4" style="width: 25rem">
<i
class="text-white bg-primary d-flex align-items-center justify-content-center fs-1 rounded-circle fa-solid fa-microchip"></i>
<h3 class="mt-4 h4">AI/ML</h3>
<p class="text-center">Applying AI/ML methods to accelerate discovery of
imaging-derived phenotypes associated with neurodegenerative brain
</p>
</div>
<div class="card mt-5 d-flex flex-column align-items-center text-center bg-white p-4" style="width: 25rem">
<i
class="text-white bg-primary d-flex align-items-center justify-content-center fs-1 rounded-circle fa-solid fa-cogs"></i>
<h3 class="mt-4 h4">Neuroscience</h3>
<p class="text-center">Interdisciplinary research focused on for indentifying protective and risk factors of
dementia
</p>
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</section>
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<h2>CURRICULUM VITAE</h2>
<!-- <h5 class="text-secondary fw-normal py-2 fst-italic">A small sampling of some of the projects I've worked on as
a student of the ICS program.</h5> -->
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<h2 class="mt-3">Hitesh Pradhan</h2>
<ul class="list-unstyled contact-info">
<li><i class="fas fa-envelope me-2"></i> ihiteshpradhan@gmail.com </li>
<li><i class="fas fa-map-marker-alt me-2"></i> Bengaluru, India </li>
</ul>
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<!-- <h5>Personal Interests</h5>
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<div class="col-lg-7 order-lg-1 order-0 mt-5 text-start">
<h3>Profile</h3>
<hr>
<p>Passionate neuroscientist dedicated to unraveling neurodegenerative diseases, particularly Alzheimer's. From
a chance
encounter with "Alzheimer's" in 2016, I've evolved into a committed researcher. My expertise lies in
developing early
AD prediction frameworks, utilizing neuroimaging and explainable AI models. Currently, at the Centre for Brain
Research, I explore population-level dynamics in rural India, decoding brain pathological changes associated
with
amnestic mild cognitive impairment.
</p>
<h3>Education</h3>
<hr>
<dl>
<dt>2021 - 2023</dt>
<dd>Master's in Cognitive and Brain Sciences</dd>
<dd>Indian Institute of Technology, Gandhinagar, India</dd>
</dl>
<dl>
<dt>2018 - 2021</dt>
<dd>Bachelor's in Zoology and Biotechnology</dd>
<dd>College of Basic Science and Humanities, Bhubaneswar, India</dd>
</dl>
<!-- <h3>Academic Projects</h3>
<hr>
<dl>
<dt>January 2022 - April 2022</dt>
<dd>Computational Neuroscience, IIT Gandhinagar</dd>
<dd>Institution/Organization</dd>
</dl>
<dl>
<dt>January 2022 - April 2022</dt>
<dd>Computational Neuroscience, IIT Gandhinagar</dd>
<dd>Institution/Organization</dd>
</dl>
<dl>
<dt>January 2022 - April 2022</dt>
<dd>Computational Neuroscience, IIT Gandhinagar</dd>
<dd>Institution/Organization</dd>
</dl> -->
<h3>Work Experience</h3>
<hr>
<dl>
<dt>May 2023 - Present</dt>
<dd>Research Assisstant at <b>Centre for Brain Research, IISc</b></dd>
<dd>Working with Dr. Jonas S. Sundarakumar on developing explainable deep-learning
tools within SANSCOG study for the identification of risk and protective factors for
dementia in community-dwelling cohort. Exploring the application of AI/ML in
translation dementia research; focus on multimodal approach by seamlessly
integrating socio-demographic, health risk factors and neuroimaging data for new
biomarkers.</dd>
<!-- Add or remove work experience entries as needed -->
</dl>
<h3>Publications</h3>
<hr>
<dl>
<dd>1. <em>Shilna Azhuvalappil; Raghav Prasad; Pravin Sahadevan; <b>Hitesh Pradhan*</b> ; Pooja Rai; Jonas S.
Sundarakumar</em>
Sex-specific differences in the association between APOE genotype and
metabolic syndrome among middle-aged and older rural Indians, DOI:
<a href="https://doi.org/10.1016/j.metop.2024.100281" target="_blank">10.1016/j.metop.2024.100281</a>
</dd>
<dd>2. <em>Sumedha Mitra, Raghav Prasad, Pravin Sahadevan, <b>Hitesh Pradhan*</b>, Jonas S Sundarakumar</em>
Role of Pulmonary Health on Cognitive Performance in an Aging Rural Indian Cohort: Insights on COPD and
PRISm from the CBR-SANSCOG Study, Preprint available at:
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4838973" target="_blank">10.1101/2024.06.11.24308744</a>
</dd>
<dd>3. <em>Shilna Azhuvalappil, Raghav Prasad, Pravin Sahadevan, Priya Chatterjee, <b>Hitesh Pradhan*</b>,
Pooja Rai,
Anant Gupta, Reddy Peera Kommaddi, Thomas G Issac, Jonas S Sundarakumar</em>
Association between APOE genotypes and Metabolic Syndrome in a Middle Aged and Elderly Urban South Indian
Population,
DOI: <a href="https://doi.org/10.1016/j.metop.2024.100301" target="_blank">10.1016/j.metop.2024.100301</a>
</dd>
<dd>4. <em> <b>Hitesh Pradhan*</b>, Raghav Prasad, Priya Chatterjee, Jonas S Sundarakumar</em>
Association of social network diversity with brain volume and cognitive performance in rural aging Indians
<u>(Manuscript under preparation)</u>, <a href="#" class="popup-link" data-popup="popup1">Abstract</a>
accepted at AAIC Advancements: Modernizing Diagnosis, Tokyo 2024
</dd>
<div id="popup1" class="popup-overlay">
<div class="popup-content">
<span class="close-btn">×</span>
<h2>Connections to Cognition: The influence of social network diversity on brain health and cognition</h2>
<p>
<b>Background</b>: Poor social connectedness has been associated with an increased risk of dementia.
Additionally, the patterns
of social relationships largely remain population and culture-specific. Little is known about the
association of social
network diversity (ND) with brain and cognitive performance among rural Indians.
</p>
<p>
<b>Methods</b>: We analysed the cross-sectional data from the Centre for Brain Research - Srinivaspura
Aging, Neuro Senescence
and COGnition (CBR-SANSCOG) study, collected from January 2018-December 2023 (N = 1115). Subjects aged
45+ years
underwent clinical, cognitive and neuroimaging assessments. We excluded subjects with cognitive
impairment (Clinical
Dementia Rating scale, CDR ≥ 0.5) and abnormal brain pathology. ND was assessed with Cohen’s Social
Networking Index
questionnaire, and categorized into limited and diverse group based on the median cutoff. Cognitive
performance was
assessed across attention, memory, language, and visuospatial domains using a culturally-adapted version
of the
Computerized assessment of adult information processing (COGNITO) battery. Test scores were
standardized, and the global
cognitive score was calculated as the weighted-average of standardized test scores. Subjects underwent
MRI brain scan on
3T Siemens Prisma. Voxel-based morphometry examined volumetric differences in the brain at family-wise
error corrected p
< 0.05. Multiple linear regression analysis assessed the association between ND and cognitive
performance adjusting for age, sex, education, diabetes, hypertension, depression, smoking and alcohol
status, and BMI. We also investigated the moderation effect of ND on the association between brain
volume and cognition. </p>
<p>
<b>Results</b>: In our study population (56.33±8.52 years, 63% females), higher ND was associated
with better global (β = 0.31,
95% CI [0.16, 0.46], p < 0.001) and domain-specific cognitive performance (Table 1). Larger brain
volumes were observed in temporal pole, left insula, hippocampus and amygdala in individuals with
higher ND (Figure 1). Additionally, ND moderated the association between brain volumes and global
cognitive performance (β=-0.52, 95% CI [-0.94, -0.10], p=0.015). </p>
<p>
<b>Conclusions</b>: Promoting network diversity among rural Indians could be a cost-effective
community level strategy to
prevent cognitive decline and dementia risk.
</p>
<div
style="display: flex; justify-content: center; align-items: center; height: 100%; text-align: center;">
<img src="/images/aaic-tokyo-abstract-sni.jpg" alt="SNI-VBM"
style="width: 100%; max-width: 600px; height: auto; display: block; margin: 0 auto;">
</div>
<p><b>Figure 1</b>: Voxel and cluster corrected images shown were rendered using Surf Ice at PFWE < 0.05 and extent threshold of k=354.</p>
</div>
</div>
<dd>5. <em> <b>Hitesh Pradhan*</b>, Raghav Prasad, Priya Chatterjee, Jonas S Sundarakumar</em>
Influence of menopause on cognitive functioning in aging Indian women: A cross-sectional study
<u>(Manuscript under preparation)</u>, <a href="https://alz.confex.com/alz/2024/meetingapp.cgi/Paper/91254" target="_blank">Abstract</a> accepted at AAIC, Philadephia 2024
</dd>
<dd>6. <em> <b>Hitesh Pradhan*</b>, Sulakshana Aggarwal, V.L. Remrautpuia, Jonas S Sundarakumar</em>
Association of anemia with brain volume and cognitive performance in rural aging Indians
<u>(Manuscript under preparation)</u>
</dd>
</dl>
</div>
</div>
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