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Articles 1 - 30 of 47

Full-Text Articles in Cognitive Science

Psychological Adaptation In Colorectal Cancer Survivors: Pilot Study Findings, Anuja L. Sarode, Emily M. Su, Amber Kerstetter-Fogle, Steve Paciorek, Erica L. Laipply Aug 2026

Psychological Adaptation In Colorectal Cancer Survivors: Pilot Study Findings, Anuja L. Sarode, Emily M. Su, Amber Kerstetter-Fogle, Steve Paciorek, Erica L. Laipply

HCA Healthcare Journal of Medicine

Background

In this pilot study, we examined psychological impacts of colorectal cancer (CRC), focusing on cancer-related posttraumatic stress disorder (CR-PTSD) symptoms, posttraumatic growth (PTG), and their relationship with coping strategies in surgically treated CRC patients.

Methods

This prospective pre- and postoperative pilot study assessed CRC patients at 2 time points, pre- and postoperative. Psychological symptoms were evaluated using the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (PCL-5) and the PTG Inventory Short Form (PTGI-SF). Coping strategies were assessed using the Brief Coping Orientation to Problems Experienced (COPE) instrument. Changes in CR-PTSD, PTG, and coping …


Determinants Of Corporal Punishment And Severe Physical Punishment In Egypt: A Mixed-Methods Analysis For Child Protection Policy, Marwa Moustafa Nassef Jun 2026

Determinants Of Corporal Punishment And Severe Physical Punishment In Egypt: A Mixed-Methods Analysis For Child Protection Policy, Marwa Moustafa Nassef

Theses and Dissertations

Corporal punishment (CP) and severe physical punishment (SPP) remain a major public health, child rights, and child protection policy concern. In Egypt, despite legislative reforms, survey-weighted analysis of the 2021 Egypt Family Health Survey (EFHS) 2021 (CAPMAS, 2022) reveals prevalence rates of 60.5% for CP and 27.4% for SPP among children aged 1–14 (author’s calculations using EFHS-2021, n=7623), yet evidence distinguishing the determinants of routine corporal punishment from escalation to severe physical punishment remains limited in low- and middle-income contexts. Guided by Bronfenbrenner’s ecological framework, this mixed-methods study identifies key drivers of CP and its escalation to SPP among Egyptian …


Improving Anesthesia Provider Confidence In The Identification, Management, And Treatment Of Postoperative Delirium, Brittany M. Whistle, Charles Dustin Phelps Apr 2026

Improving Anesthesia Provider Confidence In The Identification, Management, And Treatment Of Postoperative Delirium, Brittany M. Whistle, Charles Dustin Phelps

Scholars Week

Purpose: Postoperative Delirium (POD) is a potentially devastating complication of anesthesia that is poorly understood by clinical staff leading to poor outcomes for surgical patients. This study is meant to determine if a focused knowledge presentation accompanied by visual aids could increase anesthesia providers confidence in identifying, diagnosing, and treating Postoperative Delirium.

Methodology: Utilizing a statistical model to analyze respondents results on a standardized test administered before and after an informational presentation with visual aids on the topic of Postoperative Delirium.

Results: Results indicated a statistically significant difference between pretest and posttest scores, with a p-value of .002, t(11) = …


Investigating Tau Pathology In The Retina And Anterior Segment Structures Of The Eye In A 3-Nitropropionic Acid–Induced Tauopathy Mouse Model, Mohamed Sayed Ahmed Abdel-Kader Qasem Feb 2026

Investigating Tau Pathology In The Retina And Anterior Segment Structures Of The Eye In A 3-Nitropropionic Acid–Induced Tauopathy Mouse Model, Mohamed Sayed Ahmed Abdel-Kader Qasem

Theses and Dissertations

Background and Objectives: Alzheimer's disease, the most prevalent neurodegenerative disorder in older adults, is characterized by accumulation of hyperphosphorylated tau and amyloid-beta (Aβ) plaques in the central nervous system. Given the retina's shared embryological origin with the brain, its direct neural connectivity via the optic nerve, and similarities in vasculature and age-related degeneration patterns, retinal pathology may serve as an early, non-invasive biomarker for Alzheimer's disease. This study employed 3-nitropropionic acid (3NP) as a pathway-specific tauopathy model driven by mitochondrial dysfunction. The study particularly aimed to investigate whether retinal and corneal tau pathology reflects underlying tau-related neurodegeneration triggered by …


Improved Model For Neurodegeneration In C. Elegans, Jean-Pierre Arditi Dec 2025

Improved Model For Neurodegeneration In C. Elegans, Jean-Pierre Arditi

Graduate Theses and Dissertations (2019 - present)

During Alzheimer's disease (AD), insoluble amyloid beta (AP) peptides accumulate to form extracellular aggregates (plaques). The direct cause of neuronal dysfunction observed in AD has been broadly investigated. The amyloid hypothesis states that AP plaques are neurotoxic, but recent studies support the AP oligomer hypothesis, which states that intracellular AP (iAP) is neurotoxic. To test this hypothesis, I used CRISPR-Cas9 gene editing to generate two transgenic Caenorhabditis elegans (C. elegans) strains. I generated a strain (RSLl 11) using the rab-3 promoter to co-express GFP in neurons, which showed no gross behavioral changes but had a 50% reduced egglaying rate. RSLl …


The Science Of Sound: Studying The Cognitive, Emotional, And Physiological Effects Of Frequency, Genre, And Music, Jett Yarborough Oct 2025

The Science Of Sound: Studying The Cognitive, Emotional, And Physiological Effects Of Frequency, Genre, And Music, Jett Yarborough

Senior Honors Theses

Music influences emotion, physiology, and cognition, yet little is known about how the frequency it is tuned to affects these influences. Prior research has shown that music tuned to 432 Hz can reduce stress, lower blood pressure, and improve sleep. My colleagues and I conducted two studies to investigate this. Our research found that music tuned to 432 Hz promotes a significant increase in memory retention and induces a state of focus and relaxation. These results suggest that shifting from the standard tuning frequency of 440 Hz to 432 Hz could have a profoundly positive impact on our daily lives. …


Ketamine As A Novel Treatment For Bipolar Disorder: Efficacy, Safety, And Future Directions, Sophia M. Valerino Aug 2025

Ketamine As A Novel Treatment For Bipolar Disorder: Efficacy, Safety, And Future Directions, Sophia M. Valerino

Advances in Clinical Medical Research and Healthcare Delivery

Bipolar disorder is a complex mood disorder characterized by alternating episodes of depression and mania/hypomania, affecting approximately seven million people in the United States. Current pharmacological treatments include lithium, anticonvulsants, and second-generation antipsychotics, but these medications are often associated with significant side effects and poor adherence. Ketamine, a noncompetitive NMDA antagonist, has recently gained attention as a potential treatment for bipolar disorder due to its rapid antidepressant effects, particularly in treatment-resistant mood disorders. This article examines the therapeutic potential of ketamine for bipolar disorder, focusing on its mechanism of action and efficacy. Clinical studies have shown promising results, with ketamine …


The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou Jul 2025

The Landscape Of Malignant Transition: Unraveling Cancer Cell-Of-Origin And Heterogeneous Tissue Microenvironment, Ruihan Luo, Jiajia Liu, Tiangang Wang, Weiling Zhao, Yanfei Wang, Jianguo Wen, Hongyu Wang, Shanli Ding, Xiaobo Zhou

Faculty, Staff and Student Publications

Understanding disease progression and sophisticated tumor ecosystems is imperative for investigating tumorigenesis mechanisms and developing novel prevention strategies. Here, we dissected heterogeneous microenvironments during malignant transitions by leveraging data from 1396 samples spanning 13 major tissues. Within transitional stem-like subpopulations highly enriched in precancers and cancers, we identified 30 recurring cellular states strongly linked to malignancy, including hypoxia and epithelial senescence, revealing a high degree of plasticity in epithelial stem cells. By characterizing dynamics in stem-cell crosstalk with the microenvironment along the pseudotime axis, we found differential roles of ANXA1 at different stages of tumor development. In precancerous stages, reduced …


The Effect Of Birthweight And Gestational Age On Cognitive Function In Midlife: The Bogalusa Heart Study, Eunsun Gill, David J Libon, Soo Jung Kang, Ileana De Anda-Duran, Lydia A Bazzano, Wei Chen, Camilo Fernandez-Alonso, Emily W Harville Jun 2025

The Effect Of Birthweight And Gestational Age On Cognitive Function In Midlife: The Bogalusa Heart Study, Eunsun Gill, David J Libon, Soo Jung Kang, Ileana De Anda-Duran, Lydia A Bazzano, Wei Chen, Camilo Fernandez-Alonso, Emily W Harville

Rowan-Virtua School of Osteopathic Medicine Departmental Research

BACKGROUND: Although the relationships between birthweight, gestational age (GA), and cognitive function (CF) before midlife have been demonstrated, the relationships after midlife and potential racial disparities remain inconclusive. This study examined the association between birthweight, GA, and midlife CF stratified by race.

METHOD: 1,032 subjects from the Bogalusa Heart Study (67% Whites, 33% Blacks, mean age 48.1 ± 5.3 years) were studied. Cognition was assessed with tests measuring verbal episodic memory, working memory, attention, graphomotor information processing speed, and global CF. Each test was standardized by sex and age, then averaged. The global CF was computed by averaging all cognitive …


Selected Social And Lifestyle Correlates Of Brain Health Markers: The Cross-Cohort Collaboration Consortium, Leslie Grasset, Joshua C Bis, Stefan Frenzel, Daniel Kojis, Jeannette Simino, Amber Yaqub, Alexa Beiser, Claudine Berr, Jan Bressler, Robin Bülow, Charles S Decarli, Alison E Fohner, Laura B Harrington, Catherine Helmer, M Arfan Ikram, Rozenn N Lemaitre, Oscar L Lopez, W T Longstreth, Julia Neitzel, Michelle C Odden, Priya Palta, Carsten O Schmidt, Rajesh Talluri, Meike W Vernooij, Henry Völzke, Trudy Voortman, Quest Whalen, Katharina Wittfeld, Hans J Grabe, Thomas H Mosley, Bruce M Psaty, Frank J Wolters, Sudha Seshadri, Carole Dufouil Apr 2025

Selected Social And Lifestyle Correlates Of Brain Health Markers: The Cross-Cohort Collaboration Consortium, Leslie Grasset, Joshua C Bis, Stefan Frenzel, Daniel Kojis, Jeannette Simino, Amber Yaqub, Alexa Beiser, Claudine Berr, Jan Bressler, Robin Bülow, Charles S Decarli, Alison E Fohner, Laura B Harrington, Catherine Helmer, M Arfan Ikram, Rozenn N Lemaitre, Oscar L Lopez, W T Longstreth, Julia Neitzel, Michelle C Odden, Priya Palta, Carsten O Schmidt, Rajesh Talluri, Meike W Vernooij, Henry Völzke, Trudy Voortman, Quest Whalen, Katharina Wittfeld, Hans J Grabe, Thomas H Mosley, Bruce M Psaty, Frank J Wolters, Sudha Seshadri, Carole Dufouil

Faculty, Staff and Student Publications

Introduction: To investigate the associations of education level, marital status, and physical activity with dementia risk and brain MRI markers.

Methods: Data from six community-based samples from the Cross-Cohort Collaboration Consortium were analyzed. Self-reported education level, marital status, and physical activity at age 60 to 75 years were harmonized. Subsamples of participants with brain MRI markers at time of exposure were selected. Associations with dementia risk and cross-sectional MRI markers were meta-analyzed.

Results: Higher education level was associated with lower dementia risk (hazard ratio [HR] = 0.65, 95% confidence interval [CI] = 0.59; 0.72 vs low level) but not significantly …


Detection Of Elder Abuse Through Emergency Care Technicians Screening Tool Revision For Home-Based Primary Care (Detect-Rpc): A Cluster Randomised Controlled Trial Study Protocol, Brad Cannell, Nicholas Sevey, Melvin D Livingston, Jason Burnett, Kristin Lees Haggerty, Carolyn Pickering Jan 2025

Detection Of Elder Abuse Through Emergency Care Technicians Screening Tool Revision For Home-Based Primary Care (Detect-Rpc): A Cluster Randomised Controlled Trial Study Protocol, Brad Cannell, Nicholas Sevey, Melvin D Livingston, Jason Burnett, Kristin Lees Haggerty, Carolyn Pickering

Faculty, Staff and Student Publications

Introduction: The annual prevalence of elder mistreatment (EM) in cognitively intact older adults is estimated to be 11%, yet the annual prevalence in older adults with Alzheimer's disease and related dementias (AD/ADRD) is estimated to be as high as 75%. Associated with a decrease in quality of life and increase in risk of mortality, EM represents a significant public health burden. Home-based primary care (HBPC) providers are uniquely positioned to address the critical need for robust EM screening and reporting, especially among individuals with AD/ADRD. This protocol seeks to adapt the Detection of Elder mistreatment Through Emergency Care Technicians (DETECT) …


Optimizing Decision-Making In A Cerebral Palsy Model Using Reinforcement Learning, Richard Ampah Jan 2025

Optimizing Decision-Making In A Cerebral Palsy Model Using Reinforcement Learning, Richard Ampah

Pitzer Senior Theses

This study presents an original interdisciplinary investigation into how reinforcement learning (RL) can model motor and cognitive defects and potentially improve motor and cognitive functions in individuals with cerebral palsy (CP), a non-progressive neurological disorder that impairs movement and adaptability. Integrating computational neuroscience and machine learning, the research applies policy gradient methods and Markov Decision Processes (MDPs) to simulate adaptive learning in agents with and without CP-related constraints.

The central aim is to compare the cumulative rewards of optimal policies, derived from value iteration, and human-like learning policies using the REINFORCE algorithm, both with and without the Bellman baseline. The …


Weighted Family History Density Of Substance Use: Influence On Participant Substance Use Onset, Escalation, And Duration, Carleigh A. Litteral Jan 2025

Weighted Family History Density Of Substance Use: Influence On Participant Substance Use Onset, Escalation, And Duration, Carleigh A. Litteral

Theses and Dissertations--Psychology

Substance use disorders impose a staggering toll on the United States (U.S.), straining healthcare systems, destabilizing communities, and profoundly impacting both individuals and families. Approximately one in six Americans aged 12 and older had a past-year substance use disorder in 2022 (Key Substance Use, 2022), and nearly one-third of adults experience a substance use disorder in their lifetime (Wu, 2010), contributing to an economic burden exceeding $400 billion annually (National Drug Threat Assessment, 2011). Family history of substance use disorders is a key predictor of vulnerability, with individuals who have affected relatives being 2–8 times more …


Beat The Boredom With Books! (Spanish), Mattie Lastovica, Lorraine Sheldon Sep 2024

Beat The Boredom With Books! (Spanish), Mattie Lastovica, Lorraine Sheldon

Bibliotherapy

Beat the Boredom with Books was part of a resident research project. The research questions was "does intentional promotion of the Krissi Holman Family Library and the benefits of reading/screen time limitations during the hospital admission process increase use of and access to books from the in-hospital library in children ages O to 5 years?" The document includes facts about screentime use in pediatrics and information about the library.


Beat The Boredom With Books! (English), Mattie Lastovica, Lorraine Sheldon Sep 2024

Beat The Boredom With Books! (English), Mattie Lastovica, Lorraine Sheldon

Bibliotherapy

Beat the Boredom with Books was part of a resident research project. The research questions was "does intentional promotion of the Krissi Holman Family Library and the benefits of reading/screen time limitations during the hospital admission process increase use of and access to books from the in-hospital library in children ages O to 5 years?" The document includes facts about screen time use in pediatrics and information about the library.


A Genome-Wide Association Meta-Analysis Of All-Cause And Vascular Dementia, Mega Vascular Cognitive Impairment And Dementia (Megavcid) Consortium Sep 2024

A Genome-Wide Association Meta-Analysis Of All-Cause And Vascular Dementia, Mega Vascular Cognitive Impairment And Dementia (Megavcid) Consortium

Faculty, Staff and Students Publications

INTRODUCTION: Dementia is a multifactorial disease with Alzheimer's disease (AD) and vascular dementia (VaD) pathologies making the largest contributions. Yet, most genome-wide association studies (GWAS) focus on AD.

METHODS: We conducted a GWAS of all-cause dementia (ACD) and examined the genetic overlap with VaD. Our dataset includes 800,597 individuals, with 46,902 and 8702 cases of ACD and VaD, respectively. Known AD loci for ACD and VaD were replicated. Bioinformatic analyses prioritized genes that are likely functionally relevant and shared with closely related traits and risk factors.

RESULTS: For ACD, novel loci identified were associated with energy transport (SEMA4D), neuronal excitability …


Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group Jul 2024

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Faculty, Staff and Student Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …


Sex And Age Differences In Near-Infrared Spectroscopy Responses And The Resulting Influences On Cognition, Miranda K. Traylor May 2024

Sex And Age Differences In Near-Infrared Spectroscopy Responses And The Resulting Influences On Cognition, Miranda K. Traylor

Graduate Theses and Dissertations (2019 - present)

Vascular dysfunction is the earliest known marker of neurodegeneration. However, limited research has been conducted to determine if changes in peripheral vascular function track differences in brain health. Therefore, the purpose was to determine if previously reported sex differences in near-infrared spectroscopy (NIRS) vascular occlusion test (VOT) parameters persist across the lifespan and if these differences track age- and sex-related differences in a cognitive task. Ninety-nine healthy, cognitively intact adults (50 women, 49 men) across the adult lifespan (19-81 yrs) were used for analysis. The combination of NIRS-VOT was used to quantify microvascular function. Cognition was defined as the time …


Social Support In An Internet Weight Loss Community, Richard Freund, Marta Favara, Catherine Porter, Jere Behrman May 2024

Social Support In An Internet Weight Loss Community, Richard Freund, Marta Favara, Catherine Porter, Jere Behrman

Faculty, Staff and Student Publications

Many low- and middle-income countries have introduced public works programs (PWPs) to fight poverty. This paper provides the first evidence that children from families who benefit from PWPs show increased foundational cognitive skills. The results, based on unique tablet-based data collected as part of a long-standing longitudinal survey, show positive associations between participation in the Productive Safety Net Programme (PSNP) in Ethiopia during childhood with long-term memory and implicit learning, and suggestive evidence for working memory. These associations appear to be strongest for children whose households were still PSNP participants in the year of data collection. Evidence suggests that the …


Alterations In Brain Morphometric Networks And Their Relationship With Memory Dysfunction In Patients With Type 2 Diabetes Mellitus, Rye Young Kim, Yoonji Joo, Eunji Ha, Haejin Hong, Chaewon Suh, Youngeun Shim, Hyeonji Lee, Yejin Kim, Jae-Hyoung Cho, Sujung Yoon, In Kyoon Lyoo Apr 2024

Alterations In Brain Morphometric Networks And Their Relationship With Memory Dysfunction In Patients With Type 2 Diabetes Mellitus, Rye Young Kim, Yoonji Joo, Eunji Ha, Haejin Hong, Chaewon Suh, Youngeun Shim, Hyeonji Lee, Yejin Kim, Jae-Hyoung Cho, Sujung Yoon, In Kyoon Lyoo

Faculty, Staff and Student Publications

Cognitive dysfunction, a significant complication of type 2 diabetes mellitus (T2DM), can potentially manifest even from the early stages of the disease. Despite evidence of global brain atrophy and related cognitive dysfunction in early-stage T2DM patients, specific regions vulnerable to these changes have not yet been identified. The study enrolled patients with T2DM of less than five years’ duration and without chronic complications (T2DM group, n=100) and demographically similar healthy controls (control group, n=50). High-resolution T1-weighted magnetic resonance imaging data were subjected to independent component analysis to identify structurally significant components indicative of morphometric networks. Within these networks, the groups’ …


Identifying Covariate-Related Subnetworks For Whole-Brain Connectome Analysis, Shuo Chen, Yuan Zhang, Qiong Wu, Chuan Bi, Peter Kochunov, L Elliot Hong Apr 2024

Identifying Covariate-Related Subnetworks For Whole-Brain Connectome Analysis, Shuo Chen, Yuan Zhang, Qiong Wu, Chuan Bi, Peter Kochunov, L Elliot Hong

Faculty, Staff and Student Publications

Whole-brain connectome data characterize the connections among distributed neural populations as a set of edges in a large network, and neuroscience research aims to systematically investigate associations between brain connectome and clinical or experimental conditions as covariates. A covariate is often related to a number of edges connecting multiple brain areas in an organized structure. However, in practice, neither the covariate-related edges nor the structure is known. Therefore, the understanding of underlying neural mechanisms relies on statistical methods that are capable of simultaneously identifying covariate-related connections and recognizing their network topological structures. The task can be challenging because of false-positive …


Unveiling Gene Interactions In Alzheimer's Disease By Integrating Genetic And Epigenetic Data With A Network-Based Approach, Keith L Sanders, Astrid M Manuel, Andi Liu, Boyan Leng, Xiangning Chen, Zhongming Zhao Apr 2024

Unveiling Gene Interactions In Alzheimer's Disease By Integrating Genetic And Epigenetic Data With A Network-Based Approach, Keith L Sanders, Astrid M Manuel, Andi Liu, Boyan Leng, Xiangning Chen, Zhongming Zhao

Faculty, Staff and Student Publications

Alzheimer’s Disease (AD) is a complex disease and the leading cause of dementia in older people. We aimed to uncover aspects of AD’s pathogenesis that may contribute to drug repurposing efforts by integrating DNA methylation and genetic data. Implementing the network-based tool, a dense module search of genome-wide association studies (dmGWAS), we integrated a large-scale GWAS dataset with DNA methylation data to identify gene network modules associated with AD. Our analysis yielded 286 significant gene network modules. Notably, the foremost module included the BIN1 gene, showing the largest GWAS signal, and the GNAS gene, the most significantly hypermethylated. We conducted …


Opportunities And Challenges For The Use Of Deep Brain Stimulation In The Treatment Of Refractory Major Depression, Prashin Unadkat, Joao Quevedo, Jair Soares, Albert Fenoy Mar 2024

Opportunities And Challenges For The Use Of Deep Brain Stimulation In The Treatment Of Refractory Major Depression, Prashin Unadkat, Joao Quevedo, Jair Soares, Albert Fenoy

Faculty, Staff and Student Publications

Major Depressive Disorder continues to remain one of the most prevalent psychiatric diseases globally. Despite multiple trials of conventional therapies, a subset of patients fail to have adequate benefit to treatment. Deep brain stimulation (DBS) is a promising treatment in this difficult to treat population and has shown strong antidepressant effects across multiple cohorts. Nearly two decades of work have provided insights into the potential for chronic focal stimulation in precise brain targets to modulate pathological brain circuits that are implicated in the pathogenesis of depression. In this paper we review the rationale that prompted the selection of various brain …


A Novel Spatiotemporal Graph Convolutional Network Framework For Functional Connectivity Biomarkers Identification Of Alzheimer’S Disease, Ying Zhang, Le Xue, Shuoyan Zhang, Jiacheng Yang, Qi Zhang, Min Wang, Luyao Wang, Mingkai Zhang, Jiehui Jiang, Yunxia Li Mar 2024

A Novel Spatiotemporal Graph Convolutional Network Framework For Functional Connectivity Biomarkers Identification Of Alzheimer’S Disease, Ying Zhang, Le Xue, Shuoyan Zhang, Jiacheng Yang, Qi Zhang, Min Wang, Luyao Wang, Mingkai Zhang, Jiehui Jiang, Yunxia Li

Faculty, Staff and Student Publications

BACKGROUND: Functional connectivity (FC) biomarkers play a crucial role in the early diagnosis and mechanistic study of Alzheimer's disease (AD). However, the identification of effective FC biomarkers remains challenging. In this study, we introduce a novel approach, the spatiotemporal graph convolutional network (ST-GCN) combined with the gradient-based class activation mapping (Grad-CAM) model (STGC-GCAM), to effectively identify FC biomarkers for AD.

METHODS: This multi-center cross-racial retrospective study involved 2,272 participants, including 1,105 cognitively normal (CN) subjects, 790 mild cognitive impairment (MCI) individuals, and 377 AD patients. All participants underwent functional magnetic resonance imaging (fMRI) and T1-weighted MRI scans. In this study, …


Submental Island Flaps For Lateral Reconstruction: Technical Refinements For Optimal Outcomes And Resource Efficiency, My V H Nguyen, Yinan Xu, Kelly A Vaughn, Arturo E Hernandez Feb 2024

Submental Island Flaps For Lateral Reconstruction: Technical Refinements For Optimal Outcomes And Resource Efficiency, My V H Nguyen, Yinan Xu, Kelly A Vaughn, Arturo E Hernandez

Faculty, Staff and Student Publications

Research suggests that bilingual children experience an extension or delay in the closing of the sensitive/critical period of language development due to multiple language exposure. Moreover, bilingual experience may impact the development of subcortical regions, although these conclusions are drawn from research with adults, as there is a scarcity of research during late childhood and early adolescence. The current study included 1215 bilingual and 5894 monolingual children from the ABCD Study to examine the relationship between subcortical volume and English vocabulary in heritage Spanish bilingual and English monolingual children, as well as volumetric differences between the language groups. We also …


Large-Scale Investigation Of White Matter Structural Differences In Bilingual And Monolingual Children: An Adolescent Brain Cognitive Development Data Study, Juliana Ronderos, Jennifer Zuk, Arturo E Hernandez, Kelly A Vaughn Feb 2024

Large-Scale Investigation Of White Matter Structural Differences In Bilingual And Monolingual Children: An Adolescent Brain Cognitive Development Data Study, Juliana Ronderos, Jennifer Zuk, Arturo E Hernandez, Kelly A Vaughn

Faculty, Staff and Student Publications

Emerging research has provided valuable insights into the structural characteristics of the bilingual brain from studies of bilingual adults; however, there is a dearth of evidence examining brain structural alterations in childhood associated with the bilingual experience. This study examined the associations between bilingualism and white matter organization in bilingual children compared to monolingual peers leveraging the large-scale data from the Adolescent Brain Cognitive Development (ABCD) Study. Then, 446 bilingual children (ages 9-10) were identified from the participants in the ABCD data and rigorously matched to a group of 446 monolingual peers. Multiple regression models for selected language and cognitive …


Blood-Based Transcriptomic Biomarkers Are Predictive Of Neurodegeneration Rather Than Alzheimer's Disease, Artur Shvetcov, Shannon Thomson, Jessica Spathos, Ann-Na Cho, Heather M Wilkins, Shea J Andrews, Fabien Delerue, Timothy A Couttas, Jasmeen Kaur Issar, Finula Isik, Simranpreet Kaur, Eleanor Drummond, Carol Dobson-Stone, Shantel L Duffy, Natasha M Rogers, Daniel Catchpoole, Wendy A Gold, Russell H Swerdlow, David A Brown, Caitlin A Finney Oct 2023

Blood-Based Transcriptomic Biomarkers Are Predictive Of Neurodegeneration Rather Than Alzheimer's Disease, Artur Shvetcov, Shannon Thomson, Jessica Spathos, Ann-Na Cho, Heather M Wilkins, Shea J Andrews, Fabien Delerue, Timothy A Couttas, Jasmeen Kaur Issar, Finula Isik, Simranpreet Kaur, Eleanor Drummond, Carol Dobson-Stone, Shantel L Duffy, Natasha M Rogers, Daniel Catchpoole, Wendy A Gold, Russell H Swerdlow, David A Brown, Caitlin A Finney

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is a growing global health crisis affecting millions and incurring substantial economic costs. However, clinical diagnosis remains challenging, with misdiagnoses and underdiagnoses being prevalent. There is an increased focus on putative, blood-based biomarkers that may be useful for the diagnosis as well as early detection of AD. In the present study, we used an unbiased combination of machine learning and functional network analyses to identify blood gene biomarker candidates in AD. Using supervised machine learning, we also determined whether these candidates were indeed unique to AD or whether they were indicative of other neurodegenerative diseases, such as …


Multiancestry Analysis Of The Hla Locus In Alzheimer’S And Parkinson’S Diseases Uncovers A Shared Adaptive Immune Response Mediated By Hla-Drb1*04 Subtypes, Yann Le Guen, Guo Luo, Aditya Ambati, Vincent Damotte, Iris Jansen, Eric Yu, Aude Nicolas, Itziar De Rojas, Thiago Peixoto Leal, Akinori Miyashita, Céline Bellenguez, Michelle Mulan Lian, Kayenat Parveen, Takashi Morizono, Hyeonseul Park, Benjamin Grenier-Boley, Tatsuhiko Naito, Fahri Küçükali, Seth D Talyansky, Selina Maria Yogeshwar, Vicente Sempere, Wataru Satake, Victoria Alvarez, Beatrice Arosio, Michael E Belloy, Luisa Benussi, Anne Boland, Barbara Borroni, María J Bullido, Paolo Caffarra, Jordi Clarimon, Antonio Daniele, Daniel Darling, Stéphanie Debette, Jean-François Deleuze, Martin Dichgans, Carole Dufouil, Emmanuel During, Emrah Düzel, Daniela Galimberti, Guillermo Garcia-Ribas, José María García-Alberca, Pablo García-González, Vilmantas Giedraitis, Oliver Goldhardt, Caroline Graff, Edna Grünblatt, Olivier Hanon, Lucrezia Hausner, Stefanie Heilmann-Heimbach, Henne Holstege, Jakub Hort, Yoo Jin Jung, Deckert Jürgen, Silke Kern, Teemu Kuulasmaa, Kun Ho Lee, Ling Lin, Carlo Masullo, Patrizia Mecocci, Shima Mehrabian, Alexandre De Mendonça, Mercè Boada, Pablo Mir, Susanne Moebus, Fermin Moreno, Benedetta Nacmias, Gael Nicolas, Shumpei Niida, Børge G Nordestgaard, Goran Papenberg, Janne Papma, Lucilla Parnetti, Florence Pasquier, Pau Pastor, Oliver Peters, Yolande A L Pijnenburg, Gerard Piñol-Ripoll, Julius Popp, Laura Molina Porcel, Raquel Puerta, Jordi Pérez-Tur, Innocenzo Rainero, Inez Ramakers, Luis M Real, Steffi Riedel-Heller, Eloy Rodriguez-Rodriguez, Owen A Ross, Luis Jose Royo, Dan Rujescu, Nikolaos Scarmeas, Philip Scheltens, Norbert Scherbaum, Anja Schneider, Davide Seripa, Ingmar Skoog, Vincenzo Solfrizzi, Gianfranco Spalletta, Alessio Squassina, John Van Swieten, Raquel Sánchez-Valle, Eng-King Tan, Thomas Tegos, Charlotte Teunissen, Jesper Qvist Thomassen, Lucio Tremolizzo, Martin Vyhnalek, Frans Verhey, Margda Waern, Jens Wiltfang, Jing Zhang, Eadb, Gr@Ace Study Group, Degesco Consortium, Demgene, Eadi, Gerad, Asian Parkinson’S Disease Genetics Consortium, Henrik Zetterberg, Kaj Blennow, Zihuai He, Julie Williams, Philippe Amouyel, Frank Jessen, Patrick G Kehoe, Ole A Andreassen, Cornelia Van Duin, Magda Tsolaki, Pascual Sánchez-Juan, Ruth Frikke-Schmidt, Kristel Sleegers, Tatsushi Toda, Anna Zettergren, Martin Ingelsson, Yukinori Okada, Giacomina Rossi, Mikko Hiltunen, Jungsoo Gim, Kouichi Ozaki, Rebecca Sims, Jia Nee Foo, Wiesje Van Der Flier, Takeshi Ikeuchi, Alfredo Ramirez, Ignacio Mata, Agustín Ruiz, Ziv Gan-Or, Jean-Charles Lambert, Michael D Greicius, Emmanuel Mignot Sep 2023

Multiancestry Analysis Of The Hla Locus In Alzheimer’S And Parkinson’S Diseases Uncovers A Shared Adaptive Immune Response Mediated By Hla-Drb1*04 Subtypes, Yann Le Guen, Guo Luo, Aditya Ambati, Vincent Damotte, Iris Jansen, Eric Yu, Aude Nicolas, Itziar De Rojas, Thiago Peixoto Leal, Akinori Miyashita, Céline Bellenguez, Michelle Mulan Lian, Kayenat Parveen, Takashi Morizono, Hyeonseul Park, Benjamin Grenier-Boley, Tatsuhiko Naito, Fahri Küçükali, Seth D Talyansky, Selina Maria Yogeshwar, Vicente Sempere, Wataru Satake, Victoria Alvarez, Beatrice Arosio, Michael E Belloy, Luisa Benussi, Anne Boland, Barbara Borroni, María J Bullido, Paolo Caffarra, Jordi Clarimon, Antonio Daniele, Daniel Darling, Stéphanie Debette, Jean-François Deleuze, Martin Dichgans, Carole Dufouil, Emmanuel During, Emrah Düzel, Daniela Galimberti, Guillermo Garcia-Ribas, José María García-Alberca, Pablo García-González, Vilmantas Giedraitis, Oliver Goldhardt, Caroline Graff, Edna Grünblatt, Olivier Hanon, Lucrezia Hausner, Stefanie Heilmann-Heimbach, Henne Holstege, Jakub Hort, Yoo Jin Jung, Deckert Jürgen, Silke Kern, Teemu Kuulasmaa, Kun Ho Lee, Ling Lin, Carlo Masullo, Patrizia Mecocci, Shima Mehrabian, Alexandre De Mendonça, Mercè Boada, Pablo Mir, Susanne Moebus, Fermin Moreno, Benedetta Nacmias, Gael Nicolas, Shumpei Niida, Børge G Nordestgaard, Goran Papenberg, Janne Papma, Lucilla Parnetti, Florence Pasquier, Pau Pastor, Oliver Peters, Yolande A L Pijnenburg, Gerard Piñol-Ripoll, Julius Popp, Laura Molina Porcel, Raquel Puerta, Jordi Pérez-Tur, Innocenzo Rainero, Inez Ramakers, Luis M Real, Steffi Riedel-Heller, Eloy Rodriguez-Rodriguez, Owen A Ross, Luis Jose Royo, Dan Rujescu, Nikolaos Scarmeas, Philip Scheltens, Norbert Scherbaum, Anja Schneider, Davide Seripa, Ingmar Skoog, Vincenzo Solfrizzi, Gianfranco Spalletta, Alessio Squassina, John Van Swieten, Raquel Sánchez-Valle, Eng-King Tan, Thomas Tegos, Charlotte Teunissen, Jesper Qvist Thomassen, Lucio Tremolizzo, Martin Vyhnalek, Frans Verhey, Margda Waern, Jens Wiltfang, Jing Zhang, Eadb, Gr@Ace Study Group, Degesco Consortium, Demgene, Eadi, Gerad, Asian Parkinson’S Disease Genetics Consortium, Henrik Zetterberg, Kaj Blennow, Zihuai He, Julie Williams, Philippe Amouyel, Frank Jessen, Patrick G Kehoe, Ole A Andreassen, Cornelia Van Duin, Magda Tsolaki, Pascual Sánchez-Juan, Ruth Frikke-Schmidt, Kristel Sleegers, Tatsushi Toda, Anna Zettergren, Martin Ingelsson, Yukinori Okada, Giacomina Rossi, Mikko Hiltunen, Jungsoo Gim, Kouichi Ozaki, Rebecca Sims, Jia Nee Foo, Wiesje Van Der Flier, Takeshi Ikeuchi, Alfredo Ramirez, Ignacio Mata, Agustín Ruiz, Ziv Gan-Or, Jean-Charles Lambert, Michael D Greicius, Emmanuel Mignot

Faculty, Staff and Students Publications

Across multiancestry groups, we analyzed Human Leukocyte Antigen (HLA) associations in over 176,000 individuals with Parkinson’s disease (PD) and Alzheimer’s disease (AD) versus controls. We demonstrate that the two diseases share the same protective association at the HLA locus. HLA-specific fine-mapping showed that hierarchical protective effects of HLA-DRB1*04 subtypes best accounted for the association, strongest with HLA-DRB1*04:04 and HLA-DRB1*04:07, and intermediary with HLA-DRB1*04:01 and HLA-DRB1*04:03. The same signal was associated with decreased neurofibrillary tangles in postmortem brains and was associated with reduced tau levels in cerebrospinal fluid and to a lower extent with increased Aβ42. …


The Effects Of Equine-Assisted Activities On Execution Function In Children Aged 7–8 Years: A Randomized Controlled Trial, Xiaodong Cheng, Kexin Zhen, Yongzhao Fan, Qian Tang, Hao Wu Sep 2023

The Effects Of Equine-Assisted Activities On Execution Function In Children Aged 7–8 Years: A Randomized Controlled Trial, Xiaodong Cheng, Kexin Zhen, Yongzhao Fan, Qian Tang, Hao Wu

Faculty, Staff and Student Publications

BACKGROUND: This study examines the effects of equine-assisted activity (EAA) training on executive functioning (EF) (inhibitory control, working memory, and cognitive flexibility) in children aged 7-8 years.

METHODS: Twenty-Four healthy children aged 7-8 years with a 1:1 ratio of boys to girls were randomly divided into EAA group (EAAG) or control group (CG). The subjects in EAAG were trained for 12 weeks, and CG participated in normal daily activities. All subjects conducted the Flanker, 1-Back, and More-odd shifting tasks at rest and recorded the average reaction times (RTs) and accuracy data of each task.

RESULTS: After 12 weeks of EAA …


The Effects Of Covid-19 On Cognition In The Pediatric Population, Mia Ramirez, Hope Mccarroll, Lisa Griggs-Stapleton Aug 2023

The Effects Of Covid-19 On Cognition In The Pediatric Population, Mia Ramirez, Hope Mccarroll, Lisa Griggs-Stapleton

Summer 2023 Virtual OTD Capstone Symposium

Coronavirus disease or COVID-19, is an infectious disease caused by the SARS-CoV-2 virus. COVID-19 can affect adults and children by causing long-term symptoms such as difficulty concentrating, anxiety, depression, long-term breathing problems, and even heart complications. Children represent about 19% of all reported COVID-19 cases since the pandemic first began. Children also can have trouble concentrating, which can impact their ability to attend school and do their daily activities that require concentration, such as dressing, showering, and social participation. Cognitive deficits due to COVID-19 can impact the pediatric population as they may have decreased occupational performance in desired occupations, such …