Integrating individualized connectome with amyloid pathology improves predictive modeling of future cognitive decline

These findings advance our understanding of the spatial patterns of Aβ pathology and its relationship to brain networks, highlighting the potential of connectome-informed network-based metrics for Aβ-PET imaging in identifying individuals at higher risk of cognitive decline.

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Journal
Communications Medicine
Published
2025-12-05
DOI
https://doi.org/10.1038/s43856-025-01170-5
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43

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Integrating individualized connectome with amyloid pathology improves predictive modeling of future cognitive decline

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article

Integrating individualized connectome with amyloid pathology improves predictive modeling of future cognitive decline

Konstantinos Chiotis, Emily A. Largent, Winnie Kwang, Charles DeCarli, Clifford R. Jack, Carole Ho, Payam Mahboubi, Magdalena Korecka, Li Shen, Alexander Knaack, Robert I. Reid, Juliet Fockler, Duygu Tosun, Elizabeth Shaffer, Richard J. Perrin, Jason Karlawish, Nina Silverberg, Arthur W. Toga, Danielle Harvey, Renaud La Joie, Sophia I. Thomopoulos, Julien Lagarde, Shannon L. Risacher, Nick C. Fox, Neda Jahanshad, Karen Crawford, Miriam T. Ashford, Andrea Fidell, Mónica Rivera Mindt, Andrew J. Saykin, Michael S. Rafii, Lisa L. Barnes, María C. Carrillo, Erin Franklin, Marie Bernard, Hengda He, Robert C. Green, Joe Strong, Cecily Jenkins, Arvin Forghanian-Arani, Michael Donohue, Tom Montine, Yaakov Stern, Yuliana Cabrera, Kristin Harkins, Caitie Hedberg, Perminder Singh Sachdev, Jeremy Pizzola, Zhiyun Lin, Prashanthi Vemuri, John K. Hsiao, Sheila Ogwang, Sarah Walter, Diana Truran Sacrey, Joel P. Felmlee, Zoë Potter, Sandhitsu R. Das, Kaci Lacy, Magdalena Brylska, Tatiana Foroud, Mark Choe, Christian Habeck, Taeho Jo, Matthew L. Senjem, Haley Bernhardt, Caileigh Zimmerman, Gil Dan Rabinovici, Taylor Clanton, Bret Borowski, Derek Flenniken, Zaven Kachaturian, Victor L. Villemagne, Laurel Beckett, Joshua D. Grill, Paul A. Yushkevich, Christopher G. Schwarz, Chengshi Jin, Olusegun Adegoke, William J. Jagust, David N. Soleimani‐Meigooni, Virginia M.‐Y. Lee, Rema Raman, Brian J. Lopresti, Maison Abu Raya, Kelly Nudelman, Neil Buckholtz, Nigel J. Cairns, Ian B. Malone, Héctor Alfredo Baptista González, Eliezer Masliah, Talia M. Nir, Agathe Vrillon, Charles Windon, Cat Conti, Kejal Kantarci, Denise Reyes, Yunglin Gazes, Vanessa Guzmán, Melanie J. Miller, Lindsey Hergesheimer, Rachel L. Nosheny, Sandra Talavera, Erin Drake, Robert A. Koeppe, Adrienne Kormos, Susan Landau, Peter J. Snyder, Donna Masterman, Kwangsik Nho, John N. Morris, Calvin Reyes, Stephanie Rossi Chen, Qolamreza Razlighi, Hannah Craft, Hannatu Amaza, Paul M. Thompson, Yang Wan, Claire M. Erickson, Stephanie Smith, Justin Robison, Naomi Saito, Michael Weiner, Jonathan Jackson, Laurie Ryan, Kelley Faber, Virginia Boatwright, Joseph Di Benedetto, Omobolanle Ayo, Trinity Weisensel, John Moore-Weiss, Leonard Matoush, Shaniya Parkins, Matt Glittenberg, Kaori Kubo Germano, John Q. Trojanowski, William Z. Potter, Ronald C. Petersen, Paul Aisen, Evan Fletcher, Adam Diaz, Scott Neu, Susan Molchan, Fabiola Magana, Alice Hills, Leon J. Thal, Edward B. Lee, Liana G. Apostolova, R.T. Frank, Rima Kaddurah-Daouk, Isabella Hoang, Adeyinka Ajayi, Mai Seng Thao, Jennifer Salazar, Lisa Thomas, Lisa Taylor‐Reinwald, Chad Ward, Jeff Gunter, Caitlin Webb, Kedir Adem Hussen, Gustavo Jiménez, Leslie M. Shaw
article en
1 citations

Abstract

These findings advance our understanding of the spatial patterns of Aβ pathology and its relationship to brain networks, highlighting the potential of connectome-informed network-based metrics for Aβ-PET imaging in identifying individuals at higher risk of cognitive decline.

Communications MedicineVol. 5(1)
University of Southern California (US), Nathan Kline Institute for Psychiatric Research (US), Alzheimer's Association (US), Biogen (United States) (US), National Institutes of Health (US), Mount Sinai Hospital (US), General Electric (United States) (US), University of Wisconsin–Madison (US), University of Connecticut (US), University of California, Los Angeles (US), Fordham University (US), University of Pittsburgh (US), Duke University (US), University of California, San Francisco (US), University of Washington (US), University of California, Irvine (US), Washington University in St. Louis (US), Cornell University (US), University of Michigan (US), Columbia University Irving Medical Center (US), Harvard University Press (US), University of California San Diego (US), Massachusetts General Hospital (US), Denali Therapeutics (United States) (US), PC Krause & Associates (United States) (US), Indiana University Bloomington (US), Mayo Clinic in Arizona (US), National Institute on Aging (US), Eisai (United States) (US), National Institute of Mental Health (US), Northern California Institute for Research and Education (US), Weill Cornell Medicine (US), Indiana University School of Medicine, University College London (GB), Rush University (US), Columbia University (US), University of Pennsylvania (US), University of California, Davis (US), Philadelphia University (US), University of California, Berkeley (US)
U.S. Department of Defense, Alzheimer's Association, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, Biogen, University of Southern California, Meso Scale Diagnostics, Alzheimer's Disease Neuroimaging Initiative, BioClinica, Novartis Pharmaceuticals Corporation, Northern California Institute for Research and Education, Eisai, Servier, H. Lundbeck A/S, IXICO, National Institutes of Health, Genentech, Canadian Institutes of Health Research, National Institute on Aging
Openalex Percentile: Top 13%
Functional Brain Connectivity Studies
1.43
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