Jeremy Bockholt

ORCID: 0000-0001-8523-3361
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About
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Research Areas
  • Functional Brain Connectivity Studies
  • Genetic Neurodegenerative Diseases
  • Advanced Neuroimaging Techniques and Applications
  • Neurological disorders and treatments
  • Dementia and Cognitive Impairment Research
  • Mitochondrial Function and Pathology
  • Medical Imaging Techniques and Applications
  • Digital Radiography and Breast Imaging
  • Privacy-Preserving Technologies in Data
  • Alzheimer's disease research and treatments
  • Acute Ischemic Stroke Management
  • Neural and Behavioral Psychology Studies
  • Biomedical Text Mining and Ontologies
  • Brain Tumor Detection and Classification
  • Environmental Monitoring and Data Management
  • Machine Learning in Bioinformatics
  • Schizophrenia research and treatment
  • Neurological Disease Mechanisms and Treatments
  • Genetics, Bioinformatics, and Biomedical Research
  • Computational Drug Discovery Methods
  • Health, Environment, Cognitive Aging
  • RNA Research and Splicing
  • Cerebrovascular and Carotid Artery Diseases
  • Retirement, Disability, and Employment
  • Medical Image Segmentation Techniques

Georgia Institute of Technology
2022-2023

Center for Translational Research in Neuroimaging and Data Science
2022-2023

Georgia State University
2022

Emory University
2022

University of Iowa
2012-2019

Mind Research Network
2008-2019

Boston University
2017

University of New Mexico
2010

Child Mind Institute
2006

J.-M. Lee E.M. Ramos J.-H. Lee Tammy Gillis Jayalakshmi Srinidhi Mysore and 95 more Michael R. Hayden Simon C. Warby PJ Morrison Martha Nance Christopher A. Ross Russell L. Margolis Ferdinando Squitieri S. Orobello Stefano Di Donato Estrella Gómez‐Tortosa Carmen Ayuso Oksana Suchowersky R J Trent Elizabeth McCusker Andrea Novelletto Marina Frontali Randi Jones Tetsuo Ashizawa Samuel Frank Marie Saint‐Hilaire Steven M. Hersch H. Diana Rosas Diane Lucente Madeline Harrison Andrea Zanko Ruth K. Abramson Karen Marder Jorge Sequeiros Jane S. Paulsen G. Bernhard Landwehrmeyer Richard H. Myers Marcy E. MacDonald James F. Gusella Alexandra Dürr Adam Rosenblatt Luigi Frati Susan B. Perlman P. M. Conneally Mary Lou Klimek Melissa Diggin Tiffany C. Hadzi Ayana Duckett Anwar Ahmed Paul Allen David Ames Thomas Anderson Karla J. Anderson Karen Anderson Thomasin Andrews John Ashburner Eric Axelson Elizabeth Aylward Roger A. Barker Katrin Barth Stacey K. Barton Kathleen Baynes Alexandra Bea Erik B. Beall Mirza Faisal Beg Leigh J. Beglinger Kevin Biglan K. Björk Steve Blanchard Jeremy Bockholt Sudharshan Reddy Bommu Bradley G. Brossman Maggie Burrows Vince D. Calhoun Noelle E. Carlozzi Amy M. Chesire Edmond Chiu Phyllis Chua R.J. Connell Carmela Connor Jody Corey‐Bloom David Craufurd Stephen Cross Lucette A. Cysique Rachelle Dar Santos Jennifer Davis Joji Decolongon A. Dipietro Nicholas Doucette Nancy R. Downing Ann Dudler Steve Dunn Daniel Ecker Eric A. Epping Diane Erickson Cheryl Erwin Kenneth Evans Stewart A. Factor Sarah Tomaszewski Farias Marta Fatas Jess G. Fiedorowicz

<h3>Objective:</h3> Age at onset of diagnostic motor manifestations in Huntington disease (HD) is strongly correlated with an expanded CAG trinucleotide repeat. The length the normal repeat allele has been reported also to influence age onset, interaction allele. Due profound implications for mechanism and modification, we tested whether allele, between alleles, or presence a second affects HD signs. <h3>Methods:</h3> We modeled natural log-transformed as function lengths alleles their by...

10.1212/wnl.0b013e318249f683 article EN Neurology 2012-02-09

<h3>Objective</h3> To investigate the feasibility of microRNA (miRNA) levels in CSF as biomarkers for prodromal Huntington disease (HD). <h3>Methods</h3> miRNA were measured from 60 PREDICT-HD study participants using HTG protocol. Using a CAG–Age Product score, 30 HD selected based on estimated probability imminent clinical diagnosis (i.e., low, medium, high; n = 10/group). For comparison, already diagnosed (n 15) and healthy controls also selected. <h3>Results</h3> A total 2,081 miRNAs...

10.1212/wnl.0000000000004844 article EN cc-by-nc-nd Neurology 2017-12-27

Abstract Dynamic functional network connectivity (dFNC) is an expansion of traditional, static FNC that measures variation among brain networks throughout scan duration. We used a large resting‐state fMRI (rs‐fMRI) sample from the PREDICT‐HD study ( N = 183 Huntington disease gene mutation carriers [HDgmc] and 78 healthy control [HC] participants) to examine whole‐brain dFNC its associations with CAG repeat length as well product scaled age, variable representing burden. also tested for...

10.1002/hbm.24504 article EN Human Brain Mapping 2019-01-07

Managing vast datasets collected throughout multiple clinical imaging communities has become critical with the ever increasing and diverse nature of datasets. Development data management infrastructure is further complicated by technical experimental advances that drive modifications to existing protocols acquisition new types research be incorporated into systems. In this paper, an extensible system for neuroimaging studies introduced: The Human Clinical Imaging Database (HID) Toolkit....

10.1007/s12021-010-9078-6 article EN cc-by-nc Neuroinformatics 2010-06-21

Introduction:The use of a medical data registry allows institutions to effectively manage information for many different investigations related the registry, as well evaluate patient's trends over time, with ultimate goal recognizing that may improve outcomes in particular patient population.Methods: The purpose this article is illustrate our experience stroke at comprehensive center and highlight advantages, disadvantages, lessons learned process designing, implementing, maintaining...

10.15404/msrj.002.002.spring/03 article EN Medical Student Research Journal 2013-05-31

Abstract Objectives: Huntington’s disease (HD) is a debilitating genetic disorder characterized by motor, cognitive and psychiatric abnormalities associated with neuropathological decline. HD pathology the result of an extended chain CAG (cytosine, adenine, guanine) trinucleotide repetitions in HTT gene. Clinical diagnosis requires presence otherwise unexplained extrapyramidal movement participant at risk for HD. Over past 15 years, evidence has shown that cognitive, psychiatric, subtle...

10.1017/s1355617716001132 article EN Journal of the International Neuropsychological Society 2017-02-01

Abstract Objectives: Apathy is a debilitating symptom of Huntington’s disease (HD) and manifests before motor diagnosis, making it an excellent therapeutic target in the preclinical phase (prHD). HD neurological genetic disorder characterized by cognitive impairment, psychiatric abnormalities. not well within prHD. In previous literature, damage to caudate putamen has been correlated with increased apathy other neurodegenerative movement disorders. The objective this study was determine...

10.1017/s1355617719000067 article EN Journal of the International Neuropsychological Society 2019-02-26

Collaborative neuroimaging research is often hindered by technological, policy, administrative, and methodological barriers, despite the abundance of available data. COINSTAC (The Informatics Neuroimaging Suite Toolkit for Anonymous Computation) a platform that successfully tackles these challenges through federated analysis, allowing researchers to analyze datasets without publicly sharing their This paper presents significant enhancement platform: Vaults (CVs). CVs are designed further...

10.3389/fninf.2023.1207721 article EN cc-by Frontiers in Neuroinformatics 2023-06-19

In the clinical treatment of mood disorders, complex behavioral symptoms presented by patients and variability patient response to particular medication classes can create difficulties in providing fast reliable when standard diagnostic prescription methods are used. Increasingly, incorporation physiological information such as neuroimaging scans derivatives into process promises alleviate some uncertainty surrounding this process. Particularly, if neural features help identify who may not...

10.48550/arxiv.2402.07858 preprint EN arXiv (Cornell University) 2024-02-12

Collaborative neuroimaging research is often hindered by technological, policy, administrative, and methodological barriers, despite the abundance of available data. COINSTAC a platform that successfully tackles these challenges through federated analysis, allowing researchers to analyze datasets without publicly sharing their This paper presents significant enhancement platform: Vaults (CVs). CVs are designed further reduce barriers hosting standardized, persistent, highly-available...

10.1101/2023.05.08.539852 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2023-05-08

<h3>Background</h3> Although correlation between CAG repeat length and age of HD onset is well known, improved prediction would be advantageous for clinical trial sample enrichment genetic counselling. <h3>Aims</h3> To examine the predictive utility genetic, demographic, motor, cognitive, psychiatric, functional imaging measures predicting conversion to manifest HD. <h3>Methods</h3> Over 1000 research participants with gene mutation from 33 worldwide sites were followed up 10 years...

10.1136/jnnp-2014-309032.184 article EN Journal of Neurology Neurosurgery & Psychiatry 2014-09-01
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