Tracy Kendall

发表

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Sterling C. Johnson, David T. Jones, Nick C Fox, 2019, Scientific Reports.

Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease

Alan C. Evans, Sterling C. Johnson, Keith A. Johnson, 2019, bioRxiv.

A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

Sterling C. Johnson, David T. Jones, Nick C Fox, 2016, Scientific Reports.

Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

Norbert Schuff, Robert C. Green, Andrew J. Saykin, 2017 .

Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2016, Nature Communications.

Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology

Sterling C. Johnson, David T. Jones, Taylor W. Schmitz, 2016, Nature Communications.

Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2020, Scientific Reports.

The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

Sterling C. Johnson, Keith A. Johnson, Joanne L. Lord, 2019, Nature Communications.

Comprehensive analysis of epigenetic clocks reveals associations between disproportionate biological ageing and hippocampal volume

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2022, GeroScience.

An IL1RL1 genetic variant lowers soluble ST2 levels and the risk effects of APOE-ε4 in female patients with Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2022, Nature Aging.

Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2016, Scientific Reports.

Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease

Nick C Fox, Keith A. Johnson, Raymond Scott Turner, 2022, Nature Communications.

Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization

Keith A. Johnson, Raymond Scott Turner, Joanne L. Lord, 2021, Scientific Reports.

Women can bear a bigger burden: ante- and post-mortem evidence for reserve in the face of tau

Sterling C. Johnson, Nick C Fox, John X. Morris, 2020, Brain communications.

The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum

Sterling C. Johnson, Keith A. Johnson, Joanne L. Lord, 2016, Scientific Reports.

Effect of CR1 Genetic Variants on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer's Disease Cohorts

Keith A. Johnson, Joanne L. Lord, Colleen S. Albers, 2016, Molecular Neurobiology.

Cat population control; vasectomize dominant males

Tracy Kendall, 1979 .

Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE

Keith A. Johnson, Scott Ayton, Joanne L. Lord, 2015, Nature Communications.

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2016, Scientific Reports.

Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease

Sterling C. Johnson, Christine L. Tardif, John X. Morris, 2021, Nature Communications.

Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2019, Nature Communications.

Four distinct trajectories of tau deposition identified in Alzheimer’s disease

Sterling C. Johnson, John X. Morris, Keith A. Johnson, 2021, Nature Medicine.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Michael W. Weiner, Robert C. Green, Shannon L. Risacher, 2017, Scientific Reports.

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Keith A. Johnson, Sherye A. Sirrel, Alice D. Brown, 2019, Scientific Reports.

Dissociation of tau pathology and neuronal hypometabolism within the ATN framework of Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2022, Nature Communications.

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Andrew J. Saykin, Arthur W. Toga, Qianjin Feng, 2017, Scientific Reports.

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2016, Scientific Reports.

Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease

Keith A. Johnson, Charles D. Smith, Sherye A. Sirrel, 2020, Nature Communications.

KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2021, Nature Communications.

A Novel Joint Brain Network Analysis Using Longitudinal Alzheimer’s Disease Data

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2019, Scientific Reports.

The trend of disruption in the functional brain network topology of Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2021, Scientific Reports.

Glucose metabolism patterns: A potential index to characterize brain ageing and predict high conversion risk into cognitive impairment

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2022, GeroScience.

Regional Amyloid-β Load and White Matter Abnormalities Contribute to Hypometabolism in Alzheimer’s Dementia

Sterling C. Johnson, Keith A. Johnson, Charles D. Smith, 2018, Molecular Neurobiology.

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Nick C Fox, Keith A. Johnson, Raymond Scott Turner, 2017, Nature Communications.

Deep learning-based polygenic risk analysis for Alzheimer’s disease prediction

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2023, Communications Medicine.

Dissection of the polygenic architecture of neuronal Aβ production using a large sample of individual iPSC lines derived from Alzheimer’s disease patients

Keith A. Johnson, Raymond Scott Turner, Charles D. Smith, 2022, Nature Aging.

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features

Adrian Preda, Evan Fletcher, Charles DeCarli, 2017, Scientific Reports.

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Islem Rekik, Mohamed Ali Mahjoub, Keith A. Johnson, 2018, Scientific Reports.

The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2019, Nature Communications.

A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Sherye A. Sirrel, 2020, Scientific Reports.

Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Charles D. Smith, 2020, Nature Communications.

Non-coding variability at the APOE locus contributes to the Alzheimerâ€TMs risk

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2019 .

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways

John X. Morris, Keith A. Johnson, Raymond Scott Turner, 2019, Scientific Reports.

GenEpi: gene-based epistasis discovery using machine learning

Michael W. Weiner, Yen-Jen Oyang, Arthur W. Toga, 2018, BMC Bioinformatics.

A blood-based signature of cerebrospinal fluid Aβ1–42 status

John X. Morris, Keith A. Johnson, Raymond Scott Turner, 2019, Scientific Reports.

Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer’s disease

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2018, Scientific Reports.

Dissection of the polygenic architecture of neuronal Aβ production using a large sample of individual iPSC lines derived from Alzheimer’s disease patients

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2022, Nature Aging.

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts

Sterling C. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2016, Scientific Reports.

A blood-based signature of cerebrospinal fluid Aβ1–42 status

Raymond Scott Turner, Sherye A. Sirrel, Alice D. Brown, 2019, Scientific Reports.

Ferritin levels in the cerebrospinal fluid predict Alzheimer's disease outcomes and are regulated by APOE

Sterling C. Johnson, Sherye A. Sirrel, Alice D. Brown, 2015, Nature Communications.

Polygenic effects on the risk of Alzheimer’s disease in the Japanese population

Raymond Scott Turner, Sherye A. Sirrel, Alice D. Brown, 2024, Alzheimer's research & therapy.

Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

Sterling C. Johnson, David T. Jones, Nick C Fox, 2017, Scientific Reports.