Bradley T. Christian

ORCID: 0000-0002-9653-559X
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About
Contact & Profiles
Research Areas
  • Dementia and Cognitive Impairment Research
  • Alzheimer's disease research and treatments
  • Down syndrome and intellectual disability research
  • Medical Imaging Techniques and Applications
  • Frailty in Older Adults
  • Advanced Neuroimaging Techniques and Applications
  • Functional Brain Connectivity Studies
  • Chronic Disease Management Strategies
  • Receptor Mechanisms and Signaling
  • Neuroscience and Neuropharmacology Research
  • Advanced MRI Techniques and Applications
  • Neurotransmitter Receptor Influence on Behavior
  • Radiopharmaceutical Chemistry and Applications
  • Nicotinic Acetylcholine Receptors Study
  • Health, Environment, Cognitive Aging
  • Neural and Behavioral Psychology Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Cardiac Imaging and Diagnostics
  • Neurological disorders and treatments
  • Schizophrenia research and treatment
  • Ion channel regulation and function
  • Stress Responses and Cortisol
  • MRI in cancer diagnosis
  • Memory and Neural Mechanisms
  • Diet and metabolism studies

University of Wisconsin–Madison
2016-2025

Highland Community College - Illinois
2025

University of the Witwatersrand
2024

Wits University Donald Gordon Medical Centre
2024

Madison Group (United States)
2023

University of Pittsburgh
2022

William S. Middleton Memorial Veterans Hospital
1994-2019

Geriatric Research Education and Clinical Center
2019

UK Dementia Research Institute
2019

Alzheimer's Association
2019

Converging evidence suggests that Alzheimer disease (AD) involves insulin signaling impairment. Patients with AD and individuals at risk for show reduced glucose metabolism, as indexed by fludeoxyglucose F 18-labeled positron emission tomography (FDG-PET).To determine whether resistance predicts AD-like global regional metabolism deficits in late middle-aged participants to examine resistance-predicted variation is associated worse cognitive performance.This population-based, cross-sectional...

10.1001/jamaneurol.2015.0613 article EN JAMA Neurology 2015-07-27

Arterial spin labeling (ASL) offers MRI measurement of cerebral blood flow (CBF) in vivo, and may offer clinical diagnostic utility populations such as those with early Alzheimer's disease (AD). In the current study, we investigated reliability precision a pseudo-continuous ASL (pcASL) sequence that was performed two or three times within one hour on eight young normal control subjects, 14 elderly subjects including 11 cognition, AD Mild Cognitive Impairment (MCI). Six these AD, MCIs...

10.1002/nbm.1462 article EN NMR in Biomedicine 2009-12-01

Postmenopausal females represent around 70% of all individuals with Alzheimer disease. Previous literature shows elevated levels tau in cognitively unimpaired postmenopausal compared age-matched males, particularly the setting high β-amyloid (Aβ). The biological mechanisms associated higher deposition female remain elusive.

10.1001/jamaneurol.2023.0455 article EN JAMA Neurology 2023-04-03

An accurate blood test for Alzheimer's disease that is sensitive to preclinical proteinopathy and cognitive decline has clear implications early detection secondary prevention. We assessed the performance of plasma phosphorylated tau 217 (

10.1093/braincomms/fcad057 article EN cc-by Brain Communications 2023-03-02

Alzheimer's disease (AD) in Down syndrome (DS) is associated with changes brain structure. It unknown if thickness and volumetric can identify AD stages they are similar to other genetic forms of AD. Magnetic resonance imaging scans were collected for 178 DS adults (106 nonclinical, 45 preclinical, 27 symptomatic). Cortical subcortical volumes compared between groups evaluated as a staging metric using receiver operating characteristic analyses. Thickness patterns those previously reported...

10.1002/alz.14519 article EN cc-by Alzheimer s & Dementia 2025-01-14

Abstract Human studies of dopamine D2/D3 receptors using 18 F‐fallypride‐PET in normal volunteers were performed to evaluate brain distribution striatal and extrastriatal regions, metabolites blood plasma, establish PET imaging protocol for this new radiotracer, graphical methods analysis quantitate receptors, assess the ability F‐fallypride measure changes with aging as a model. Subjects (6; 21–63 years) had scan on Siemens HR+ scanner T1‐weighted MRI 1.5T GE purposes anatomical...

10.1002/syn.10128 article EN Synapse 2002-09-05

This study investigated differences in retrospective cognitive trajectories between amyloid and tau PET biomarker stratified groups initially cognitively unimpaired participants sampled from the Wisconsin Registry for Alzheimer's Prevention. One hundred sixty-seven individuals (baseline age 59 ± 6 years; 115 females) were by elevated amyloid-β status based on 11C-Pittsburgh compound B (PiB) 18F-MK-6240 imaging. Mixed effects models used to determine if longitudinal a composite of tests...

10.1093/brain/awz378 article EN cc-by-nc Brain 2019-11-22

HighlY constrained backPRojection (HYPR) is a promising image-processing strategy with widespread application in time-resolved MRI that also well suited for PET applications requiring time series data. The HYPR technique involves the creation of composite image from entire series. individual frames then provide basis weighting matrices composite. signal-to-noise ratio (SNR) can be dramatically improved using high SNR image. In this study, we introduced modified algorithm (the method...

10.2967/jnumed.109.073999 article EN Journal of Nuclear Medicine 2010-06-16

Some cognitively healthy individuals develop brain amyloid accumulation, suggestive of incipient Alzheimer's disease (AD), but the effect on other potentially informative imaging modalities, such as Diffusion Tensor Imaging (DTI), in characterizing changes preclinical AD requires further exploration. In this study, a sample (N = 139, mean age 60.6, range 46 to 71) from Wisconsin Registry for Prevention (WRAP), cohort enriched risk factors, was recruited multimodal investigation that included...

10.1016/j.nicl.2014.02.001 article EN cc-by-nc-nd NeuroImage Clinical 2014-01-01

Polygenic risk scores (PRSs) have been used to combine the effects of variants with small identified by genome-wide association studies. We explore potential for using pathway-specific PRSs as predictors early changes in Alzheimer's disease (AD)-related biomarkers and cognitive funct ion. Participants were from Wisconsin Registry Prevention, a longitudinal study adults who cognitively asymptomatic at enrollment enriched parental history AD. Using genes associated AD International Genomics...

10.3233/jad-160195 article EN Journal of Alzheimer s Disease 2016-09-23

Longitudinal cohort studies of cognitive aging must confront several sources within-person variability in scores. In this article, we compare neuropsychological measures terms longitudinal error variance and relationships with biomarker-assessed brain amyloidosis (Aβ).Analyses used data from the Wisconsin Registry for Alzheimer's Prevention. We quantified age-related trajectories global domain-specific composites their constituent For a subset cerebrospinal fluid or amyloid positron emission...

10.1016/j.dadm.2018.11.006 article EN cc-by Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2018-12-14

Introduction This study applies a novel algorithm to longitudinal amyloid positron emission tomography (PET) imaging identify age-heterogeneous trajectory groups, estimate the age and duration (chronicity) of positivity, investigate chronicity in relation cognitive decline tau burden. Methods Cognitively unimpaired participants (n = 257) underwent one four PET scans (Pittsburgh Compound B, PiB). Group-based modeling was applied with 171) model which were combined Bayes theorem positivity....

10.1002/dad2.12007 article EN cc-by-nc Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2020-01-01

Alzheimer's disease biomarkers are becoming increasingly important for characterizing the longitudinal course of disease, predicting timing clinical and cognitive symptoms, recruitment treatment monitoring in trials. In this work, we develop evaluate three methods modelling amyloid accumulation cohorts using PET imaging. We then use these novel approaches to investigate factors that influence onset from impairment continuum. Data were acquired Disease Neuroimaging Initiative (ADNI),...

10.1093/brain/awac213 article EN cc-by-nc Brain 2022-07-20

Abstract INTRODUCTION Almost all individuals with Down syndrome (DS) will develop neuropathological features of Alzheimer's disease (AD). Understanding AD biomarker trajectories is necessary for DS‐specific clinical interventions and interpretation drug‐related changes in the trajectory. METHODS A total 177 adults DS from Biomarker Consortium‐Down Syndrome (ABC‐DS) underwent positron emission tomography (PET) MR imaging. Amyloid‐beta (Aβ) were modeled to provide individual‐level estimates...

10.1002/alz.13444 article EN cc-by Alzheimer s & Dementia 2023-08-29

Abstract Recent longitudinal PET imaging studies have established methods to estimate the age at which amyloid becomes abnormal level of individual. Here we recontextualized levels into temporal domain better understand downstream Alzheimer’s disease processes tau neurofibrillary tangle (NFT) accumulation and cognitive decline. This cohort study included a total 601 individuals from Wisconsin Registry for Prevention Disease Research Center that underwent PET, neuropsychological assessments...

10.1093/brain/awae116 article EN Brain 2024-04-26
Julie K. Wisch Nicole S. McKay Anna H. Boerwinkle James L. Kennedy Shaney Flores and 95 more Benjamin L. Handen Bradley T. Christian Elizabeth Head Mark Mapstone Michael S. Rafii Sid E. O’Bryant Julie C. Price Charles M. Laymon Sharon J. Krinsky‐McHale Florence Lai H. Diana Rosas Sigan L. Hartley Shahid Zaman Ira T. Lott Dana Tudorascu Matthew Zammit Adam M. Brickman Joseph H. Lee Thomas D. Bird Annie Cohen Patricio Chrem Alisha Daniels Jasmeer P. Chhatwal Carlos Cruchaga Laura Ibáñez Mathias Jucker Celeste M. Karch Gregory S. Day Jae‐Hong Lee Johannes Levin Jorge J. Llibre‐Guerra Yan Li Francisco Lopera Jee Hoon Roh John M. Ringman Charlene Supnet Christopher H. van Dyck Chengjie Xiong Guoqiao Wang John C. Morris Eric McDade Randall J. Bateman Tammie L.S. Benzinger Brian A. Gordon Beau M. Ances Howard Aizenstein Howard Andrews Karen L. Bell Rasmus M. Birn Peter Bulova Amrita K. Cheema Kewei Chen I. C. H. Clare Lorraine N. Clark Ann D. Cohen John N. Constantino Eric Doran Eleanor Feingold Tatiana Foroud Sigan L. Hartley Christy Hom Lawrence S. Honig Miloš D. Ikonomović Sterling C. Johnson Courtney Jordan M. Ilyas Kamboh David B. Keator William E. Klunk Julia Kofler William Charles Kreisl Sharon J. Krinsky‐McHale Patrick J. Lao Charles M. Laymon Ira T. Lott Victoria Lupson Chester A. Mathis Davneet S. Minhas Neelesh Nadkarni Deborah Pang Melissa Petersen Julie C. Price Margaret B. Pulsifer Eric M. Reiman Batool Rizvi Marwan N. Sabbagh Nicole Schupf Dana Tudorascu Rameshwari V. Tumuluru Benjamin Tycko Badri Varadarajan Desirée A. White Michael A. Yassa Shahid Zaman Fan Zhang Randall J. Bateman

10.1016/s1474-4422(24)00084-x article EN publisher-specific-oa The Lancet Neurology 2024-04-15

Abstract INTRODUCTION Understanding longitudinal change in key plasma biomarkers will aid detecting presymptomatic Alzheimer's disease (AD). METHODS Serial samples from 424 Wisconsin Registry for Prevention participants were analyzed phosphorylated‐tau217 (p‐tau217; ALZpath) and other AD biomarkers, to study trajectories relation disease, health factors, cognitive decline. Of the participants, 18.6% with known amyloid status positive (A+); 97.2% cognitively unimpaired (CU). RESULTS In CU,...

10.1002/alz.14100 article EN cc-by Alzheimer s & Dementia 2024-07-05

Published norms are typically cross-sectional and often not sensitive to preclinical cognitive changes due dementia. We developed validated demographically adjusted longitudinal normative standards using harmonized outcomes from two Alzheimer's disease (AD) risk-enriched cohorts.

10.1002/alz.13774 article EN cc-by-nc Alzheimer s & Dementia 2024-03-27
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