the Alzheimer’s Disease Neuroimaging Initiative

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

7.2Author DataRank

Indexed papers

15in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 15 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores

Communications Biology(2022)10.1038/s42003-022-03795-x

Top 22%

0.924DataRank

Top 22%16 citations

Elizabeth Vance, Matthew Cloward, Ed Ringger, Louisa Dayton, Mark Ebbert +94 more

Papers

Driven by 169 papers — median percentile 64. Top paper: “The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores”.

The Polygenic Risk Score Knowledge Base offers a centralized online repository for calculating and contextualizing polygenic risk scores

Communications Biology(2022)10.1038/s42003-022-03795-x

Top 22%

0.924DataRank

Top 22%16 citations

Elizabeth Vance, Matthew Cloward, Ed Ringger, Louisa Dayton, Mark Ebbert +94 more

NOMIS: Quantifying morphometric deviations from normality over the lifetime of the adult human brain

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.25.428063

Top 25%

0.802DataRank

Top 25%18 citations

Louis Dieumegarde, Simon Duchesne, the Alzheimer’s Disease Neuroimaging Initiative, the CIMA-Q, the CCNA groups +1 more

Virtual connectomic datasets in Alzheimer’s Disease and aging using whole-brain network dynamics modelling

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.18.911248

Top 27%

0.754DataRank

Top 27%13 citations

Kelly Shen, Zheng Wang, Martin Hofmann-Apitius, Petra Ritter, the Alzheimer’s Disease Neuroimaging Initiative +4 more

Pairwise Correlation Analysis of the Alzheimer’s Disease Neuroimaging Initiative (ADNI) Dataset Reveals Significant Feature Correlation

Genes(2021)10.3390/genes12111661

Top 27%

0.751DataRank

Top 27%13 citations

Matthew Hodgman, Brianna B. Greenwood, Devorah O. Stucki, Katrisa M. Ward, Mark Ebbert +4 more

An Integrated Molecular Atlas of Alzheimer’s Disease

medRxiv(2021)10.1101/2021.09.14.21263565

Top 28%

0.727DataRank

Top 28%17 citations

Jan Krumsiek, Serge Nataf, Kwangsik Nho, Anna K. Greenwood, Jesse C. Wiley +20 more

Association of white matter hyperintensities with cognitive decline and neurodegeneration

Frontiers in Aging Neuroscience(2024)10.3389/fnagi.2024.1412735

Top 29%

0.694DataRank

Top 29%23 citations

Bai-Le Li, Xinran Xu, Jin Zhong, Taishan Wang, Fengqi Liu +2 more

An ontology-based approach for harmonization and cross-cohort query of Alzheimer’s disease data resources

BMC Medical Informatics and Decision Making(2023)10.1186/s12911-023-02250-z

Top 35%

0.562DataRank

Top 35%12 citations

Xiaojin Li, Guo‐Qiang Zhang, Cui Tao, Paul E. Schulz, the Alzheimer’s Disease Neuroimaging Initiative +2 more

Individual bioenergetic capacity as a potential source of resilience to Alzheimer’s disease

Nature Communications(2025)10.1038/s41467-025-57032-0

N/A

0.557DataRank · unranked

19 citations

Mustafa Büyüközkan, P. Murali Doraiswamy, Kwangsik Nho, Tong Wu, Vilmundur Guðnason +14 more

Linking self-perceived cognitive functioning questionnaires using item response theory: The subjective cognitive decline initiative.

Neuropsychology(2023)10.1037/neu0000888

Top 36%

0.546DataRank

Top 36%18 citations

the Alzheimer’s Disease Neuroimaging Initiative, Sietske A.M. Sikkes, Douglas Tommet, Richard N. Jones, Paul K. Crane +41 more

Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.15.553412

Top 51%

0.342DataRank

Top 51%6 citations

Tom Earnest, Braden Yang, Deydeep Kothapalli, Andrew J. Aschenbrenner, Jason Hassenstab +9 more

Mapping of Alzheimer’s disease related data elements and the NIH Common Data Elements

BMC Medical Informatics and Decision Making(2024)10.1186/s12911-024-02500-8

Top 52%

0.330DataRank

Top 52%7 citations

Rashmie Abeysinghe, Fengbo Zheng, Paul E. Schulz, the Alzheimer’s Disease Neuroimaging Initiative, Licong Cui +1 more

A genetically informed brain atlas for enhancing brain imaging genomics

Nature Communications(2025)10.1038/s41467-025-57636-6

Top 59%

0.266DataRank

Top 59%4 citations

Junhao Wen, Changgee Chang, Shizhuo Mu, Jiong Chen, Manu Shivakumar +95 more

Proteome profiling of cerebrospinal fluid using machine learning shows a unique protein signature associated with APOE4 genotype

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.18.590160

Top 65%

0.208DataRank

Top 65%3 citations

Shannon Thomson, Ann‐Na Cho, Heather Wilkins, Joanne H. Reed, Russell H. Swerdlow +4 more

A snapshot of brain and cognition in healthy mid-life and older adults

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.20.476706

Top 70%

0.165DataRank

Top 70%2 citations

Michelle K. Lupton, Christine C. Guo, Philip Mosley, Robert Adam, Amelia Ceslis +12 more

Generate Synthetic Data in R for a Hypothetical Alzheimer’s Disease Trial

medRxiv(2024)10.1101/2024.02.05.24302140

Top 78%

0.104DataRank

Top 78%1 citations

Linus Jönsson, Lars Lau Rakêt, the Alzheimer’s Disease Neuroimaging Initiative, Ron Handels

Quantitative assessment on the severity degree of Alzheimer dementia by algebraic analysis on cortical thickness profiles of human brains

medRxiv(2020)10.1101/2020.10.13.20212324

N/A

0DataRank · unranked

0 citations

Seongjun Park, Iksoo Chang, the Alzheimer’s Disease Neuroimaging Initiative, Sang‐Yeol Kim

Reduced coupling between cerebrospinal fluid flow and global brain activity is linked to Alzheimer disease–related pathology

PLoS Biology(2021)10.1371/journal.pbio.3001233

N/A

0DataRank · unranked

152 citations

Jing Chen, Aaron Belkin-Rosen, Yameng Gu, Liying Luo, Orfeu M. Buxton +3 more

Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer’s Disease

Frontiers in Neuroscience(2021)10.3389/fnins.2021.646013

N/A

0DataRank · unranked

119 citations

Wei-Ming Lin, Gang Chen, Hejun Zhang, Qinquan Gao, Yechong Huang +4 more

Meta-analysis of genome-wide DNA methylation identifies shared associations across neurodegenerative disorders

Genome biology(2021)10.1186/s13059-021-02275-5

N/A

0DataRank · unranked

108 citations

Marta F. Nabais, the Alzheimer’s Disease Neuroimaging Initiative, Simon M. Laws, Tian Lin, Costanza L. Vallerga +67 more

Brain Structural Network Compensation Is Associated With Cognitive Impairment and Alzheimer’s Disease Pathology

Frontiers in Neuroscience(2021)10.3389/fnins.2021.630278

N/A

0DataRank · unranked

32 citations

Haifeng Chen, Pengfei Shao, Ruomeng Qin, Hui Zhao, Yun Xu +3 more

THAN: task-driven hierarchical attention network for the diagnosis of mild cognitive impairment and Alzheimer’s disease

Quantitative Imaging in Medicine and Surgery(2021)10.21037/qims-21-91

N/A

0DataRank · unranked

31 citations

Zhehao Zhang, Linlin Gao, Guang Jin, Lijun Guo, Yudong Yao +3 more

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

Scientific Reports(2021)10.1038/s41598-021-94048-0

N/A

0DataRank · unranked

31 citations

Hyunju Lee, the Alzheimer’s Disease Neuroimaging Initiative, Michael W. Weiner, Paul Aisen, Ronald Petersen +95 more

Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol

Sensors(2021)10.3390/s21072427

N/A

0DataRank · unranked

22 citations

Morgan J. Schaeffer, Nils D. Forkert, Sean M. Nestor, Sandra E. Black, Philip A. Barber +2 more

Cognitive Decline in Alzheimer’s Disease Is Not Associated with APOE

Journal of Alzheimer s Disease(2021)10.3233/jad-210685

N/A

0DataRank · unranked

9 citations

the Alzheimer’s Disease Neuroimaging Initiative, Ganna Leonenko, Dobril Ivanov, Alun Meggy, Iain Marshall +5 more

Early diagnosis of Alzheimer’s disease on ADNI data using novel longitudinal score based on functional principal component analysis

Journal of Medical Imaging(2021)10.1117/1.jmi.8.2.024502

N/A

0DataRank · unranked

7 citations

Da Ma, Yunlong Nie, Mirza Faisal Beg, Jian Pei, Jiguo Cao +2 more

Multi-method investigation of factors influencing amyloid onset and impairment in three cohorts

medRxiv(2021)10.1101/2021.12.02.21266523

N/A

0DataRank · unranked

8 citations

Murat Bilgel, Rebecca L. Koscik, Bruno Jedynak, Yang An, Kristina A. Kellett +12 more

Causal links among amyloid, tau, and neurodegeneration

medRxiv(2021)10.1101/2021.07.01.21259866

N/A

0DataRank · unranked

2 citations

Dean F. Wong, Abhay Moghekar, Luigi Ferrucci, Susan M. Resnick, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Adaptive data-driven selection of sequences of biological and cognitive markers in pre-clinical diagnosis of dementia

medRxiv(2021)10.1101/2021.10.26.21265515

N/A

0DataRank · unranked

0 citations

David Ginsbourger, Haochang Shou, Christos Davatzikos, Stefan Klöppel, Ahmed Abdulkadir +4 more

Issues and recommendations for the residual approach to quantifying cognitive resilience and reserve

Alzheimer s Research & Therapy(2022)10.1186/s13195-022-01049-w

N/A

0DataRank · unranked

51 citations

Jacob W. Vogel, Diana I. Bocancea, Rik Ossenkoppele, Anna C. van Loenhoud, Xin Tu +3 more

Causal links among amyloid, tau, and neurodegeneration

Brain Communications(2022)10.1093/braincomms/fcac193

N/A

0DataRank · unranked

35 citations

Dean F. Wong, Abhay Moghekar, Luigi Ferrucci, Susan M. Resnick, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks

Frontiers in Computational Neuroscience(2022)10.3389/fncom.2021.769982

N/A

0DataRank · unranked

26 citations

Abbas Babajani‐Feremi, the Alzheimer’s Disease Neuroimaging Initiative, Seyed Hani Hojjati

Enhanced Fuzzy Elephant Herding Optimization-Based OTSU Segmentation and Deep Learning for Alzheimer’s Disease Diagnosis

Mathematics(2022)10.3390/math10081259

N/A

0DataRank · unranked

20 citations

the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of ageing, Afnan M. Alhassan

Mapping cerebral atrophic trajectory from amnestic mild cognitive impairment to Alzheimer’s disease

Cerebral Cortex(2022)10.1093/cercor/bhac137

N/A

0DataRank · unranked

20 citations

Xiaotong Du, Yingying Xie, Xinjun Suo, Xiaoxi He, Hao Ding +9 more

Toward a Multimodal Computer-Aided Diagnostic Tool for Alzheimer’s Disease Conversion

Frontiers in Neuroscience(2022)10.3389/fnins.2021.744190

N/A

0DataRank · unranked

11 citations

Jessika Suescun, Mya Schiess, Timothy M. Ellmore, Luca Giancardo, the Alzheimer’s Disease Neuroimaging Initiative +1 more

A Novel Coupling Model of Physiological Degradation and Emotional State for Prediction of Alzheimer’s Disease Progression

Brain Sciences(2022)10.3390/brainsci12091132

N/A

0DataRank · unranked

3 citations

Shaoping Wang, the Alzheimer’s Disease Neuroimaging Initiative, Jiawei Yang

AD Resemblance Atrophy Index of Brain Magnetic Resonance Imaging in Predicting the Progression of Mild Cognitive Impairment Carrying Apolipoprotein E-ε4 Allele

Frontiers in Aging Neuroscience(2022)10.3389/fnagi.2022.859492

N/A

0DataRank · unranked

4 citations

Zhiyu Cao, Jiaxin Xu, Qun Yu, Shaoqing Yang, Jingyi Tang +10 more

Does Loss of Integrity of the Cingulum Bundle Link Amyloid-β Accumulation and Neurodegeneration in Alzheimer’s Disease?

Journal of Alzheimer s Disease(2022)10.3233/jad-220024

N/A

0DataRank · unranked

3 citations

Rik Ossenkoppele, Wiesje M. van der Flier, Huiberdina L. Koek, Yaël D. Reijmer, Laura E.M. Wisse +3 more

Style Transfer Generative Adversarial Networks to Harmonize Multi-Site MRI to a Single Reference Image to Avoid Over-Correction

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.09.12.506445

N/A

0DataRank · unranked

7 citations

Alyssa H. Zhu, Piyush Maiti, Sophia I. Thomopoulos, Shruti P. Gadewar, Yaqiong Chai +4 more

ComBat Harmonization: Empirical Bayes versus Fully Bayes Approaches

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.13.499561

N/A

0DataRank · unranked

5 citations

Tigmanshu Chaudhary, Mahbaneh Eshaghzadeh Torbati, Dana Tudorascu, Kayhan Batmanghelich, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer’s Disease

medRxiv(2022)10.1101/2022.06.30.22277053

N/A

0DataRank · unranked

4 citations

Seyed Mostafa Kia, Keir Yong, Duygu Tosun, Jonathan M. Schott, André F. Marquand +3 more

Early β-amyloid accumulation and hypoconnectivity in the default mode network are related to its disengagement from global brain activity

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.24.501309

N/A

0DataRank · unranked

4 citations

Xufu Liu, Richard B. Mailman, Xuemei Huang, Xiao Liu, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Brain-age prediction: a systematic comparison of machine learning workflows

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.16.515405

N/A

0DataRank · unranked

4 citations

Georgios Antonopoulos, Felix Hoffstaedter, Julian Caspers, Simon B. Eickhoff, Kaustubh R. Patil +2 more

A DATA-DRIVEN EXAMINATION OF APATHY AND DEPRESSIVE SYMPTOMS IN DEMENTIA WITH INDEPENDENT REPLICATION

medRxiv(2022)10.1101/2022.09.30.22280551

N/A

0DataRank · unranked

2 citations

G. J. Meléndez‐Torres, Zahinoor Ismail, Ingelin Testad, Clive Ballard, Byron Creese +2 more

Whole-brain modeling of the differential influences of Amyloid-Beta and Tau in Alzheimer’s Disease

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.30.514365

N/A

0DataRank · unranked

2 citations

Leon Stefanovski, Petra Ritter, Gustavo Deco, Xenia Kobeleva, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Alzheimer’s Disease Heterogeneity Explained by Polygenic Risk Scores Derived from Brain Transcriptomic Profiles

medRxiv(2022)10.1101/2022.12.20.22283737

N/A

0DataRank · unranked

2 citations

Nathan Sahelijo, Toru Maruyama, Junming Hu, Rebecca Panitch, Weiming Xia +10 more

Transfer Learning for Cognitive Reserve Quantification

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.03.479059

N/A

0DataRank · unranked

1 citations

Yi Liu, Christian Habeck, Yaakov Stern, Seonjoo Lee, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Polygenic coronary artery disease association with brain atrophy in the cognitively impaired

medRxiv(2022)10.1101/2022.02.11.22270852

N/A

0DataRank · unranked

1 citations

Carole H. Sudre, Josephine Barnes, Marzia A. Scelsi, André Altmann, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Stage dependent differential influence of metabolic and structural networks on memory across Alzheimer’s disease continuum

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.28.482280

N/A

0DataRank · unranked

1 citations

Xing Qian, Kwun Kei Ng, Fang Ji, Pedro Rosa‐Neto, Serge Gauthier +4 more

Multiple Cost Optimisation for Alzheimer’s Disease Diagnosis

medRxiv(2022)10.1101/2022.04.10.22273666

N/A

0DataRank · unranked

1 citations

Xuemei Ding, Girijesh Prasad, David P. Finn, Stephen Todd, Paula L. McClean +3 more

Neuropathology-based APOE genetic risk score better quantifies Alzheimer’s risk

medRxiv(2022)10.1101/2022.10.12.22280874

N/A

0DataRank · unranked

1 citations

Eva Vasiljevic, Autumn Morrow, Jiacheng Miao, Carol Van Hulle, Erin M. Jonaitis +16 more

Identifying the regional substrates predictive of Alzheimer’s disease progression through a convolutional neural network model and occlusion

medRxiv(2022)10.1101/2022.01.27.22269954

N/A

0DataRank · unranked

0 citations

William Stanford, Eran Dayan, the Alzheimer’s Disease Neuroimaging Initiative, Kichang Kwak

Assessing the transportability of clinical prediction models for cognitive impairment using causal models

medRxiv(2022)10.1101/2022.03.01.22271617

N/A

0DataRank · unranked

0 citations

Marco Piccininni, Tobias Kurth, Stefan Konigorski, the Alzheimer’s Disease Neuroimaging Initiative, Jana Fehr

DeepParcellation: a novel deep learning method for robust brain magnetic resonance imaging parcellation in older East Asians

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.06.487283

N/A

0DataRank · unranked

0 citations

Uk-Su Choi, Kyu Yeong Choi, Jang Jae Lee, Yul‐Wan Sung, Seiji Ogawa +5 more

A multi-omics approach identifies a blood-based miRNA signature of cognitive decline in two large observational trials

medRxiv(2022)10.1101/2022.06.17.22276532

N/A

0DataRank · unranked

0 citations

Petros Takousis, Evangelos Evangelou, Inga Prokopenko, Panagiotis Alexopoulos, Chinedu Udeh‐Momoh +5 more

Functional Redundancy of the Posterior Hippocampi, but not Anterior Hippocampi or Left Frontal Cortex, is Disrupted in Pathological Brain Aging

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.18.496543

N/A

0DataRank · unranked

0 citations

Michael W. Cole, Elena K. Festa, Stephen L. Buka, Stephen Salloway, William C. Heindel +3 more

Denoising Approach Affects Diagnostic Differences in Brain Connectivity across the Alzheimer’s Disease Continuum

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.16.496466

N/A

0DataRank · unranked

0 citations

Hwamee Oh, the Alzheimer’s Disease Neuroimaging Initiative, Jenna K Blujus

Predicting Dementia Severity by Merging Anatomical and Diffusion MRI with Deep 3D Convolutional Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.22.504801

N/A

0DataRank · unranked

0 citations

Amit Singh, Neha Ann Joshy, Sophia I. Thomopoulos, Talia M. Nir, Hong Zheng +7 more

Serine/threonine kinase activity associates with brain glucose metabolism changes in Alzheimer’s Disease

medRxiv(2022)10.1101/2022.10.31.22281751

N/A

0DataRank · unranked

0 citations

Marco Antônio De Bastiani, Bruna Bellaver, Pâmela C.L. Ferreira, João Pedro Ferrari‐Souza, Firoza Z Lussier +7 more

inMTSCCA: An Integrated Multi-task Sparse Canonical Correlation Analysis for Multi-omics Brain Imaging Genetics

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.30.514398

N/A

0DataRank · unranked

0 citations

Jin Zhang, Ying Zhao, Muheng Shang, Lei Guo, Junwei Han +2 more

Towards the integrative theory of Alzheimer’s disease: linking molecular mechanisms of neurotoxicity, beta-amyloid biomarkers, and the diagnosis

medRxiv(2022)10.1101/2022.12.07.22283236

N/A

0DataRank · unranked

0 citations

Maria V. Zaretskaia, Dmitry V. Zaretsky, the Alzheimer’s Disease Neuroimaging Initiative, Yaroslav I. Molkov

Exploring the intricacies and pitfalls of the ATN framework: An assessment across cohorts and thresholding methodologies

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.06.519269

N/A

0DataRank · unranked

0 citations

Daniel Domingo-Fernández, Martin Hofmann‐Apitius, Colin Birkenbihl, the Alzheimer’s Disease Neuroimaging Initiative, the Japanese Alzheimer’s Disease Neuroimaging Initiative +2 more

Anatomically interpretable deep learning of brain age captures domain-specific cognitive impairment

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2214634120

N/A

0DataRank · unranked

122 citations

Phoebe Imms, Mingxi Cheng, Anar Amgalan, Nahian F. Chowdhury, Roy J Massett +83 more

Atrophy of hippocampal subfields relates to memory decline during the pathological progression of Alzheimer’s disease

Frontiers in Aging Neuroscience(2023)10.3389/fnagi.2023.1287122

N/A

0DataRank · unranked

38 citations

Yubin Hu, Kaiyu Huang, the Alzheimer’s Disease Neuroimaging Initiative, Yaqiong Xiao

In vivo cortical diffusion imaging relates to Alzheimer’s disease neuropathology

Alzheimer s Research & Therapy(2023)10.1186/s13195-023-01309-3

N/A

0DataRank · unranked

16 citations

Gerard R. Ridgway, Michele Valotti, Ian Hardingham, Steven A. Chance, James B. Brewer +39 more

Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank

Communications Medicine(2023)10.1038/s43856-023-00313-w

N/A

0DataRank · unranked

15 citations

Richard A. I. Bethlehem, David J. Whiteside, Nol Swaddiwudhipong, James B. Rowe, Píetro Lió +95 more

Accelerated hypometabolism with disease progression associated with faster cognitive decline among amyloid positive patients

Frontiers in Neuroscience(2023)10.3389/fnins.2023.1151820

N/A

0DataRank · unranked

14 citations

Jeffrey L. Cummings, Jefferson W. Kinney, Dietmar Cordes, the Alzheimer’s Disease Neuroimaging Initiative, Zhengshi Yang

Prognostic relevance of gait-related cognitive functions for dementia conversion in amnestic mild cognitive impairment

BMC Geriatrics(2023)10.1186/s12877-023-04175-8

N/A

0DataRank · unranked

13 citations

Sara Maestri, Silvia Serino, Elisa Pedroli, Marco Stramba‐Badiale, Giuseppe Riva +95 more

Using artificial intelligence to learn optimal regimen plan for Alzheimer’s disease

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad135

N/A

0DataRank · unranked

12 citations

Sivaraman Rajaganapathy, Trisha Das, Yejin Kim, Yongbin Chen, the Alzheimer’s Disease Neuroimaging Initiative +6 more

Visit-to-Visit Blood Pressure Variability and Cognitive Decline in Apolipoprotein ɛ4 Carriers versus Apolipoprotein ɛ3 Homozygotes

Journal of Alzheimer s Disease(2023)10.3233/jad-221103

N/A

0DataRank · unranked

7 citations

Daniel A. Nation, the Alzheimer’s Disease Neuroimaging Initiative, Isabel J. Sible

Tau accumulation and its spatial progression across the Alzheimer’s disease spectrum

medRxiv(2023)10.1101/2023.06.02.23290880

N/A

0DataRank · unranked

12 citations

Marianne Chapleau, John C.S. Breitner, Sylvia Villeneuve, Alexa Pichet Binette, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Predicting Brain Amyloid Positivity from T1 weighted brain MRI and MRI-derived Gray Matter, White Matter and CSF maps using Transfer Learning on 3D CNNs*

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.15.528705

N/A

0DataRank · unranked

11 citations

Saket S. Ozarkar, Ketaki Buwa, Sophia I. Thomopoulos, Paul M. Thompson, the Alzheimer’s Disease Neuroimaging Initiative +1 more

NODDI-derived measures of microstructural integrity in medial temporal lobe white matter pathways are associated with Alzheimer’s disease pathology and cognitive outcomes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.11.561946

N/A

0DataRank · unranked

8 citations

Jenna N. Adams, Soyun Kim, Liv McMillan, Michael A. Yassa, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Heterogeneity in Preclinical Alzheimer’s Disease Trial Cohort Identified by Image-based Data-Driven Disease Progression Modelling

medRxiv(2023)10.1101/2023.02.07.23285572

N/A

0DataRank · unranked

6 citations

Paweł Markiewicz, David M. Cash, Daniel C. Alexander, Michael Donohue, Frederik Barkhof +3 more

DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.24.537396

N/A

0DataRank · unranked

6 citations

Alfredo Lucas, Andrew A. Chen, Kyle Coleman, Hannah Horng, Raymond W.S. Ng +7 more

The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.28.538724

N/A

0DataRank · unranked

6 citations

Ravi R. Bhatt, Sophia I. Thomopoulos, Shruti P. Gadewar, Iyad Ba Gari, Tamoghna Chattopadhyay +4 more

Epistatic Features and Machine Learning Improve Alzheimer’s Risk Prediction Over Polygenic Risk Scores

medRxiv(2023)10.1101/2023.02.10.23285766

N/A

0DataRank · unranked

3 citations

Janet Cady, Steven Armentrout, James P.B. O’Connor, Sarah E. Carlson, Carlos Cruchaga +4 more

Sex differences in risk factors, burden, and outcomes of cerebrovascular disease in Alzheimer’s disease populations

medRxiv(2023)10.1101/2023.02.13.23285819

N/A

0DataRank · unranked

3 citations

Mahsa Dadar, D. Louis Collins, the Alzheimer’s Disease Neuroimaging Initiative, Cassandra Morrison

Deep learning-based patient stratification for prognostic enrichment of clinical dementia trials

medRxiv(2023)10.1101/2023.11.25.23299015

N/A

0DataRank · unranked

3 citations

Johann de Jong, Ilya Yalchyk, Holger Fröhlich, the Alzheimer’s Disease Neuroimaging Initiative, Colin Birkenbihl

Multivariate Residualization in Medical Imaging Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.15.528657

N/A

0DataRank · unranked

2 citations

Nicholas J. Tustison, Kristin A. Linn, Russell T. Shinohara, the Alzheimer’s Disease Neuroimaging Initiative, Kevin Donovan

Exploratory Correlation of The Human Structural Connectome with Non-MRI Variables in Alzheimer’s Disease

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.30.547308

N/A

0DataRank · unranked

2 citations

Jocelyn Mora, Aina Frau‐Pascual, Bruce Fischl, the Alzheimer’s Disease Neuroimaging Initiative, Iman Aganj

Global brain activity and its coupling with cerebrospinal fluid flow is related to tau pathology

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.12.557492

N/A

0DataRank · unranked

2 citations

JiaQie Lee, Xi Chen, Jacob Ziontz, Tyler J. Ward, Susan Landau +5 more

A Weighted Prognostic Covariate Adjustment Method for Efficient and Powerful Treatment Effect Inferences in Randomized Controlled Trials

arXiv (Cornell University)(2023)10.48550/arxiv.2309.14256

N/A

0DataRank · unranked

2 citations

Anna A. Vidovszky, Jessica L. Ross, Arman Sabbaghi, Jonathan R. Walsh, Charles K. Fisher +6 more

Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform

medRxiv(2023)10.1101/2023.10.04.23296569

N/A

0DataRank · unranked

2 citations

Letitia M.F. Sng, Piotr Szul, Robert Dunne, Arash Bayat, Samantha C. Burnham +4 more

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bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.26.563793

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0DataRank · unranked

2 citations

Susanne Gerber, Oliver Tüscher, the Alzheimer’s Disease Neuroimaging Initiative, Florian U. Fischer

BrainAGE Estimation: Influence of Field Strength, Voxel Size, Race, and Ethnicity

medRxiv(2023)10.1101/2023.12.05.23299222

N/A

0DataRank · unranked

2 citations

Rachael Deardorff, Yu‐Chien Wu, Meichen Yu, Liana G. Apostolova, Jared R. Brosch +8 more

Automatic analysis of skull thickness, scalp-to-cortex distance and association with age and sex in cognitively normal elderly

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.19.524484

N/A

0DataRank · unranked

1 citations

Valérie Treyer, Junfeng Sun, Chencheng Zhang, Anton Gietl, Christoph Höck +5 more

Applying joint graph embedding to study Alzheimer’s neurodegeneration patterns in volumetric data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.11.523671

N/A

0DataRank · unranked

0 citations

Daniel J. Tward, the Alzheimer’s Disease Neuroimaging Initiative, Rosemary He

Testing a polygenic risk score for morphological microglial activation in Alzheimer’s disease and aging

medRxiv(2023)10.1101/2023.03.10.23287119

N/A

0DataRank · unranked

0 citations

Timothy J. Hohman, Milos Milic, David A. Bennett, Daniel Felsky, the Alzheimer’s Disease Neuroimaging Initiative +1 more

The spatial distribution of coupling between tau and neurodegeneration in amyloid-β positive mild cognitive impairment

medRxiv(2023)10.1101/2023.04.13.23288533

N/A

0DataRank · unranked

0 citations

Shankar Bhamidi, Eran Dayan, the Alzheimer’s Disease Neuroimaging Initiative, Belfin Robinson

Exploring the genetic heterogeneity of Alzheimer’s disease: Evidence for genetic subtypes

medRxiv(2023)10.1101/2023.05.02.23289347

N/A

0DataRank · unranked

0 citations

Nicholas J. Schork, Aaditya V. Rangan, the Alzheimer’s Disease Neuroimaging Initiative, Jeremy A. Elman

ArcheD, a residual neural network for prediction of cerebrospinal fluid amyloid-beta from amyloid PET images

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.20.545686

N/A

0DataRank · unranked

0 citations

Claudia Schwarz, Catharina Lange, Esa Pitkänen, Eero Vuoksimaa, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Multimodal Imaging Investigation of Rich Club Alterations in Alzheimer’s Disease and Mild Cognitive Impairment: Amyloid Deposition, Structural Atrophy, and Functional Activation Differences

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.21.554083

N/A

0DataRank · unranked

0 citations

Ole Jonas Boeken, Olga A. Wudarczyk, the Alzheimer’s Disease Neuroimaging Initiative, Sebastian Markett

Characterizing patterns of diffusion tensor imaging variance in aging brains

medRxiv(2023)10.1101/2023.08.22.23294381

N/A

0DataRank · unranked

0 citations

Qi Yang, Michael E. Kim, Nazirah Mohd Khairi, Leon Y. Cai, Nancy R. Newlin +14 more

A functional perspective on the conditional covariance comparison problem in dementia analysis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.19.572366

N/A

0DataRank · unranked

0 citations

Ashis Gangopadhyay, the Alzheimer’s Disease Neuroimaging Initiative, Calvin Guan

CAT: a computational anatomy toolbox for the analysis of structural MRI data

GigaScience(2024)10.1093/gigascience/giae049

N/A

0DataRank · unranked

844 citations

Robert Dahnke, Paul M. Thompson, Florian Kurth, Eileen Luders, the Alzheimer’s Disease Neuroimaging Initiative +1 more

Convergent Neuroimaging and Molecular Signatures in Mild Cognitive Impairment and Alzheimer’s Disease: A Data-Driven Meta-Analysis with N = 3,118

Neuroscience Bulletin(2024)10.1007/s12264-024-01218-x

N/A

0DataRank · unranked

14 citations

Dawei Wang, Jiaji Lin, Hongxiang Yao, Kun Zhao, Chengyuan Song +21 more

Uptake of 18F-AV45 in the Putamen Provides Additional Insights into Alzheimer’s Disease beyond the Cortex

Biomolecules(2024)10.3390/biom14020157

N/A

0DataRank · unranked

7 citations

Jefferson W. Kinney, Dietmar Cordes, the Alzheimer’s Disease Neuroimaging Initiative, Zhengshi Yang

Plasma Biomarkers as Predictors of Progression to Dementia in Individuals with Mild Cognitive Impairment

Journal of Alzheimer s Disease(2024)10.3233/jad-230620

N/A

0DataRank · unranked

10 citations

the Alzheimer’s Disease Neuroimaging Initiative, Kellen K. Petersen, Richard B. Lipton, Christos Davatzikos, Ali Ezzati +1 more

Disrupted single-subject gray matter networks are associated with cognitive decline and cortical atrophy in Alzheimer’s disease

Frontiers in Neuroscience(2024)10.3389/fnins.2024.1366761

N/A

0DataRank · unranked

9 citations

Lei Gao, Yubin Hu, the Alzheimer’s Disease Neuroimaging Initiative, Yaqiong Xiao

Epistatic Features and Machine Learning Improve Alzheimer’s Disease Risk Prediction Over Polygenic Risk Scores

Journal of Alzheimer s Disease(2024)10.3233/jad-230236

N/A

0DataRank · unranked

8 citations

Janet Cady, Steven Armentrout, James P.B. O’Connor, Sarah Carlson Holdaway, Carlos Cruchaga +4 more

Deep Learning-based Hierarchical Brain Segmentation with Preliminary Analysis of the Repeatability and Reproducibility

Magnetic Resonance in Medical Sciences(2024)10.2463/mrms.mp.2023-0124

N/A

0DataRank · unranked

5 citations

Koji Kamagata, Christina Andica, Kaito Takabayashi, Wataru Uchida, Tsubasa Goto +11 more

Individual bioenergetic capacity as a potential source of resilience to Alzheimer’s disease

medRxiv(2024)10.1101/2024.01.23.23297820

N/A

0DataRank · unranked

6 citations

Mustafa Büyüközkan, P. Murali Doraiswamy, Kwangsik Nho, Tong Wu, Vilmundur Guðnason +14 more

APOE4 Increases Susceptibility to Amyloid, Accelerating Episodic Memory Decline

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.23.630203

N/A

0DataRank · unranked

5 citations

Craig E.L. Stark, the Alzheimer’s Disease Neuroimaging Initiative, Casey R. Vanderlip

Off-Equilibrium Fluctuation-Dissipation Theorem Paves the Way in Alzheimer’s Disease Research

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.15.613131

N/A

0DataRank · unranked

3 citations

J M Monti, Irene Acero-Pous, Sebastián Idesis, Anira Escrichs, Yonatan Sanz Perl +5 more

Psychotic symptoms are associated with elevated tau PET signal in the amygdala independent of Alzheimer’s disease clinical severity and amyloid burden

medRxiv(2024)10.1101/2024.01.12.24301221

N/A

0DataRank · unranked

2 citations

Galen Ziaggi, Anna C. Smith, Hannah M. Houlihan, Lauren Heuer, Diana S. Guzmán +8 more

Cascaded Multimodal Deep Learning in the Differential Diagnosis, Progression Prediction, and Staging of Alzheimer’s and Frontotemporal Dementia

medRxiv(2024)10.1101/2024.09.23.24314186

N/A

0DataRank · unranked

2 citations

Janis Reinelt, Eóin N. Molloy, Paul Glad Mihai, Pegah Einaliyan, Sofie L. Valk +14 more

The Role of Genomic-Informed Risk Assessments in Predicting Dementia Outcomes

medRxiv(2024)10.1101/2024.04.27.24306488

N/A

0DataRank · unranked

1 citations

Paulina Tolosa-Tort, Mary B. Makarious, Brian Fulton‐Howard, Alan E. Renton, Jennifer S. Yokoyama +3 more

An estimate of the longitudinal pace of aging from a single brain scan predicts dementia conversion, morbidity, and mortality

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.08.19.608305

N/A

0DataRank · unranked

1 citations

Maxwell L. Elliott, Annchen R. Knodt, Wickliffe C. Abraham, Tim Anderson, Nick Cutfield +12 more

Elevated blood glucose levels are associated with the progression of brain hypometabolism, and HDL-C and APOE4 add to this association

medRxiv(2024)10.1101/2024.09.20.24314082

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0DataRank · unranked

1 citations

Svetlana Ukraintseva, Olivia Bagley, Matt Duan, Anatoliy I. Yashin, Konstantin G. Arbeev +2 more

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medRxiv(2024)10.1101/2024.11.25.24317943

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0DataRank · unranked

1 citations

Braden Yang, Deydeep Kothapalli, Aristeidis Sotiras, the Alzheimer’s Disease Neuroimaging Initiative, Tom Earnest

Beyond Hypertension: Examining Variable Blood Pressure’s Role in Cognition and Brain Structure

medRxiv(2024)10.1101/2024.01.15.24301335

N/A

0DataRank · unranked

0 citations

Michael Oliver, Farooq Kamal, Mahsa Dadar, the Alzheimer’s Disease Neuroimaging Initiative, Cassandra Morrison

The long distance relationship of regional amyloid burden and tau pathology spread

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.15.575698

N/A

0DataRank · unranked

0 citations

Elena Doering, Gérard N. Bischof, Alexander Drzezga, Thilo van Eimeren, the Alzheimer’s Disease Neuroimaging Initiative +1 more

The interplay between insomnia and Alzheimer’s Disease across three main brain networks

medRxiv(2024)10.1101/2024.01.18.24301427

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0 citations

Amin Saberi, Reihaneh Ahmadi, Monir Changizi, Hanwen Bi, Felix Hoffstaedter +5 more

Explainable artificial intelligence identifies an AQP4 polymorphism-based risk score associated with brain amyloid burden

medRxiv(2024)10.1101/2024.02.05.24302223

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0DataRank · unranked

0 citations

David Elmenhorst, Gérard N. Bischof, Alfredo Ramı́rez, Andreas Bauer, Alexander Drzezga +2 more

Associations of Serum Isoleucine with Mild Cognitive Impairment and Alzheimer’s Disease

Annals of Geriatric Medicine and Research(2024)10.4235/agmr.23.0216

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0DataRank · unranked

0 citations

Zhi-yuan Zan, Xin Zhou, Yong-lan Xiong, Shu-jiang Ren, Hua Zhang +2 more

Dementia Risk Scores, APOE, and risk of Alzheimer disease: one size does not fit all

medRxiv(2024)10.1101/2024.04.27.24306486

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0 citations

Ana I Boeriu, Michaël E. Belloy, Alan E. Renton, Brian Fulton‐Howard, Willa D. Brenowitz +3 more

High serum Cholesterol and Triglyceride levels in older adults: associations with sleep and nighttime behavior disorders at baseline and a prediction analysis of incidental cases at 12 months follow-up

medRxiv(2024)10.1101/2024.06.05.24308529

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0DataRank · unranked

0 citations

the Alzheimer’s Disease Neuroimaging Initiative, Asma Hallab

Hierarchical High-Order Functional Connectivity Networks and Selective Feature Fusion for MCI Classification

UNC Libraries(2024)10.17615/f2tr-s991

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0DataRank · unranked

0 citations

Dinggang Shen, the Alzheimer’s Disease Neuroimaging Initiative, Xiaobo Chen, Seong-Whan Lee, Han Zhang

Deep-diffeomorphic networks for conditional brain templates

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.07.05.602288

N/A

0DataRank · unranked

0 citations

Stephan Lau, Lyle J. Palmer, Mark Jenkinson, the Alzheimer’s Disease Neuroimaging Initiative, Luke Whitbread

Candidate Molecular Subtypes of Cognitive Resilience in Alzheimer’s Disease: A Multi-Cohort Machine Learning and Neuroimaging Study

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.08.25.609610

N/A

0DataRank · unranked

0 citations

Yusuke Matsui, the Alzheimer’s Disease Neuroimaging Initiative, Akihiro Kitani

Astrocyte Reactivity Polygenic Risk Score May Predict Cognitive Decline in Alzheimer’s Disease

PubMed(2024)10.1142/9789819807024_0035

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0DataRank · unranked

0 citations

Julie A. Schneider, Rajesh K. Soni, Paul K. Crane, Shannon L. Risacher, Andrew J. Saykin +4 more

Subregional Biomarkers in FDG PET for Alzheimer’s Diagnosis and Staging: An Interpretable and Explainable model

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.27.630495

Top 100%

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Top 100%0 citations

Albert Güveniş, the Alzheimer’s Disease Neuroimaging Initiative, Ramin Rasi

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2413442122

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0DataRank · unranked

13 citations

Phoebe Imms, Nahian F. Chowdhury, Nikhil N. Chaudhari, Heng Ping, Haoqing Wang +86 more

Hemispheric asymmetry of tau pathology is related to asymmetric amyloid deposition in Alzheimer’s Disease

Nature Communications(2025)10.1038/s41467-025-63564-2

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0DataRank · unranked

10 citations

Rik Ossenkoppele, Ruben Smith, Alexa Pichet Binette, Lyduine E. Collij, Hamid Behjat +31 more

Dysfunction in the hierarchy of morphometric similarity network in Alzheimer’s disease and its correlation with cognitive performance and gene expression profiles

Psychological Medicine(2025)10.1017/s0033291725000091

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0DataRank · unranked

4 citations

Wei Zhao, Zeyu Yang, Shipeng Guo, the Alzheimer’s Disease Neuroimaging Initiative, Chuchu Zheng

Clinical Implications of an Integrated Clinical and Biological Staging Scheme for Alzheimer’s Disease

Journal of Clinical Neurology(2025)10.3988/jcn.2025.0218

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0DataRank · unranked

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Sung Woo Kang, Sangwon Lee, Seun Jeon, Byoung Seok Ye, Mijin Yun +2 more

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Alzheimer s Research & Therapy(2025)10.1186/s13195-025-01703-z

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5 citations

Diederick Martijn de Leeuw, Jori Tomassen, Johan Gobom, Isabelle Bos, Stephanie J. B. Vos +21 more

Analysis of whole genome sequence data shows association of Alzheimer’s disease with rare coding variants in ABCA7 , PSEN1 , SORL1 and TREM2

Journal of Neurogenetics(2025)10.1080/01677063.2025.2561589

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0DataRank · unranked

1 citations

Shujaani Joseph, the Alzheimer’s Disease Neuroimaging Initiative, David Curtis

Investigating Alzheimer’s Disease Progression Using a Radiomics Approach: The Hippocampal-Amygdala Border in FDG-Positron Emission Tomography Scans

Neurodegenerative Diseases(2025)10.1159/000550231

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1 citations

Albert Güveniş, the Alzheimer’s Disease Neuroimaging Initiative, Ramin Rasi

Harmonized Protocol for Subfield Segmentation in the Hippocampal Body on High-Resolution in vivo MRI from the Hippocampal Subfields Group (HSG)

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.29.651039

N/A

0DataRank · unranked

7 citations

Valerie A. Carr, Kelsey L. Canada, Gustaf Rådman, Thackery I. Brown, Jean C. Augustinack +36 more

Explainable artificial intelligence for neuroimaging-based dementia diagnosis and prognosis

medRxiv(2025)10.1101/2025.01.13.25320382

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0DataRank · unranked

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An Zhao, Jiongqi Qu, Phoebe Imms, Andrei Irimia, Frederik Barkhof +3 more

Neuro-Metabolic and Vascular Dysfunction as an Early Diagnostic for Alzheimer’s Disease and Related Dementias

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.12.653558

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0DataRank · unranked

2 citations

Scott A. Persohn, Ravi S. Pandey, Olivia R. Simcox, Paul Salama, Paul R. Territo +2 more

Gray matter microstructure from in-vivo diffusion MRI reflects post-mortem neuropathology severity and clinical progression of Alzheimer’s disease

medRxiv(2025)10.1101/2025.05.30.25328630

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0DataRank · unranked

2 citations

Cécilia Tremblay, Roqaie Moqadam, Geidy E. Serrano, Thomas G. Beach, Alireza Atri +5 more

Analysis of whole genome sequence data shows association of Alzheimer’s disease with rare coding variants in ABCA7, PSEN1, SORL1 and TREM2

medRxiv(2025)10.1101/2025.07.27.25332260

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0DataRank · unranked

2 citations

Shujaani Joseph, the Alzheimer’s Disease Neuroimaging Initiative, David Curtis

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medRxiv(2025)10.1101/2024.12.31.24319830

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0DataRank · unranked

1 citations

Robert Dahnke, Vandad Imani, Christian Gaser, Alina Solomon, Jussi Tohka +2 more

BrainVAE: Exploring the role of white matter BOLD in preclinical Alzheimer’s disease classification

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.07.652697

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1 citations

Lyuan Xu, Lianrui Zuo, Yukie Chang, Zhaohua Ding, Adam W. Anderson +5 more

Identifiability-Guided Assessment of Digital Twins in Alzheimer’s Disease Clinical Research and Care

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.17.670697

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0DataRank · unranked

1 citations

Jeffrey R. Petrella, Wenrui Hao, the Alzheimer’s Disease Neuroimaging Initiative, J. J. Jiang

Structural Compression and Entorhinal Vulnerability: Linking Tentorial Adjacency to Tau Burden and Dementia Progression

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.02.670249

N/A

0DataRank · unranked

1 citations

Ana M. Franceschi, John F. Crary, Frank A. Provenzano, the Alzheimer’s Disease Neuroimaging Initiative, Luyue Zhang

Temporal Modeling of Amyloid and Tau Trajectories in Alzheimer’s Disease using PET and Plasma Biomarkers

medRxiv(2025)10.1101/2025.09.04.25334935

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0DataRank · unranked

1 citations

Katheryn A Q Cousins, Magdalena Korecka, Emily McGrew, Alice S. Chen-Plotkin, John A. Detre +10 more

Harmonized Protocol for Segmentation of the Hippocampal Tail on High-Resolution in vivo MRI from the Hippocampal Subfields Group (HSG)

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.20.689476

N/A

0DataRank · unranked

1 citations

Kelsey L. Canada, Thackery I. Brown, Nicole Gervais, Anne Maaß, Gustaf Rådman +24 more

Aging as an active player in Alzheimer’s Disease Classification: Insights from feature selection in BrainAge Models

medRxiv(2025)10.1101/2025.04.16.25325953

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Ines Verdugo Recuero, Iñigo Tellaetxe Elorriaga, Colin Birkhenbil, Maria Carrigan, Ibai Díez +5 more

Uncovering abnormal gray and white matter connectivity patterns in Alzheimer’s disease spectrum: a dynamic graph theory analysis for early detection

Frontiers in Aging Neuroscience(2025)10.3389/fnagi.2025.1589018

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Tao Kang, Ronghua Ling, Yingqian Liu, Jiuai Sun, Yiming Li +5 more

Integrative effects of Telomere Length, Epigenetic Age, and Mitochondrial DNA abundance in Alzheimer’s Disease

medRxiv(2025)10.1101/2025.07.16.25331683

N/A

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0 citations

Rakshya U Sharma, Brendan A. Mitchell, Tong Tong, Luke W. Bonham, Alan E. Renton +6 more

White Matter Tract Vulnerability to Amyloid Pathology on the Alzheimer’s Disease Continuum

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.18.670970

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0 citations

Talia M. Nir, Julio E. Villalón‐Reina, Sophia I. Thomopoulos, Yixue Feng, Robert I. Reid +10 more

Axonal Degeneration Across the Alzheimer’s Disease Spectrum: A Longitudinal MRI and Fluid Biomarker Study

medRxiv(2025)10.1101/2025.08.13.25333630

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0 citations

John P Laporte, Alexander Y. Guo, Jonghyun Bae, Noam Fox, Alexandre Rouen +8 more

Lower Hippocampal Volume Partly Mediates the Association Between rs6859 in the NECTIN2 Gene and Alzheimer’s Disease: New Findings from Causal Mediation Analysis of ADNI Data

medRxiv(2025)10.1101/2025.09.02.25334930

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Konstantin G. Arbeev, Olivia Bagley, Anatoliy I. Yashin, Svetlana Ukraintseva, the Alzheimer’s Disease Neuroimaging Initiative +1 more

An explorative analysis of plasma biomarkers associated with cerebral amyloid angiopathy

medRxiv(2025)10.1101/2025.09.03.25334994

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0 citations

François Meyer, Lukas Preis, Orkan Arslan, Daria Gref, Louise von Droste +3 more

Normative Modelling of Brain Volume in Multiple Sclerosis

medRxiv(2025)10.1101/2025.09.14.25335702

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0DataRank · unranked

0 citations

Ingrid Anne Lie, Kristin Wesnes, Eric Westman, Thomas Espeseth, Ole A. Andreassen +9 more

Predicting future cognitive impairment in preclinical Alzheimer’s disease using amyloid PET and MRI: a multisite machine learning study

medRxiv(2025)10.1101/2025.10.15.25337507

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0DataRank · unranked

0 citations

Tom Earnest, Murat Bilgel, Marilyn Albert, Sterling C. Johnson, Christos Davatzikos +11 more

Substituting Blood-Based Biomarkers for Imaging Measures in Alzheimer’s Disease Studies: Implications for Sample Size and Bias

medRxiv(2025)10.1101/2025.11.06.25339696

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0 citations

Renaud La Joie, Michelle R. Caunca, Shubhabrata Mukherjee, Seo‐Eun Choi, Emily H. Trittschuh +4 more

The Impact of Insulin Resistance on Grey Matter Changes Along the Alzheimer’s Disease Continuum Insulin Resistance and Grey Matter in AD

medRxiv(2025)10.1101/2025.11.17.25339566

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0 citations

Alice Galli, Elena Bazzoli, Chiara Tolassi, Salvatore Caratozzolo, Bianca Gumina +7 more

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medRxiv(2025)10.1101/2025.11.19.25340533

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0 citations

Audrey Airaud, Varuna Jasodanand, Sahana S Kowshik, Matteo Bellitti, Vijaya B. Kolachalama +9 more

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medRxiv(2025)10.64898/2025.12.11.25341830

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0 citations

Adrián Medina, Cole Korponay, Christian F. Beckmann, David Harper, Lisa Nickerson +2 more

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Scientific Reports(2020)10.1038/s41598-020-59669-x

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136 citations

Sisi Ma, Prashanthi Vemuri, György Simon, the Alzheimer’s Disease Neuroimaging Initiative, Michael W. Weiner +95 more

TMS–EEG Reveals Distinct Cortical Signatures in Non-Fluent PPA

medRxiv(2025)10.64898/2025.12.15.25342283

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0DataRank · unranked

0 citations

Sofia Santicioli, Silvia Casarotto, Ali Jafarov, Gabriel Hassan, Alessandro Giannotta +16 more

The dynamics of biomarkers across the clinical spectrum of Alzheimer’s disease

Alzheimer s Research & Therapy(2020)10.1186/s13195-020-00636-z

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90 citations

Stephanie Evans, Sumali Bajaj, Loizos Siakallis, Kevin McRae‐McKee, Frank de Wolf +3 more

Disrupted Patterns of Rich-Club and Diverse-Club Organizations in Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment

Frontiers in Neuroscience(2020)10.3389/fnins.2020.575652

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59 citations

Haiting Sun, Guanjie Hu, Wenzhang Qi, Yingying Yue, Jiang Rao +5 more

Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants

Bioinformatics(2020)10.1093/bioinformatics/btaa650

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12 citations

Hailong Ba, Wenliang Pan, Meiyan Huang, the Alzheimer’s Disease Neuroimaging Initiative, Canhong Wen

Creation of an anthropomorphic CT head phantom for verification of image segmentation

Medical Physics(2020)10.1002/mp.14127

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22 citations

Ian S. Negus, Sophie J. Wiltshire, Gareth C. Thorne, P. Edward Young, the Alzheimer’s Disease Neuroimaging Initiative +1 more

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

Scientific Reports(2020)10.1038/s41598-020-67699-8

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20 citations

Giulia Abate, Federico Tomasi, Veronica Tozzo, Annalisa Barla, Daniela Uberti +95 more

Functional Evolving Patterns of Cortical Networks in Progression of Alzheimer’s Disease: A Graph-Based Resting-State fMRI Study

Neural Plasticity(2020)10.1155/2020/7839536

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Wen Wen, Xi Chen, Bing‐Jie Ni, Xuefeng Lin, Wenliang Fan +2 more

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Quantitative Imaging in Medicine and Surgery(2020)10.21037/qims-20-110

N/A

0DataRank · unranked

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Annals of Clinical and Translational Neurology(2020)10.1002/acn3.51253

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0DataRank · unranked

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Annals of Clinical and Translational Neurology(2020)10.1002/acn3.51109

N/A

0DataRank · unranked

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Frontiers in Aging Neuroscience(2020)10.3389/fnagi.2020.577685

N/A

0DataRank · unranked

5 citations

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bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.18.256594

N/A

0DataRank · unranked

24 citations

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bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.10.931824

N/A

0DataRank · unranked

11 citations

Cristina Scarpazza, Rafael Garcia‐Dias, Sandra Vieira, Lea Baecker, Pedro F. da Costa +9 more

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bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.22.056382

N/A

0DataRank · unranked

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bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.05.136838

N/A

0DataRank · unranked

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