| Título : |
Connectome-based predictive modeling of brain pathology and cognition in autosomal dominant Alzheimer's disease |
| Tipo de documento : |
texto impreso |
| Autores : |
Sergio Álvarez Vallejo, Autor ; Tripathi, Vaibhav, Autor ; Fox Fuller, Joshua, Autor ; Malotaux, Vincent, Autor ; Baena, Ana Y, Autor ; Bonillas Felix, Nikole, Autor ; Aguillon, David Fernando, Autor ; Lopera, Francisco, Autor ; Somers, David C., Autor |
| Fecha de publicación : |
2025 |
| Títulos uniformes : |
Alzheimer's & Dementia
|
| Idioma : |
Inglés (eng) |
| Palabras clave : |
ADAD CPM rsfMRI predictive modeling |
| Resumen : |
INTRODUCTION: Autosomal dominant Alzheimer's disease (ADAD) through genetic mutations can result in near complete expression of the disease. Tracking AD pathology development in an ADAD cohort of Presenilin-1 (PSEN1) E280A carriers’ mutation has allowed us to observe incipient tau tangles accumulation as early as 6 years prior to symptom onset. METHODS: Resting-state functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) scans were acquired in a group of PSEN1 carriers (n = 32) and non-carrier family members (n = 35). We applied connectome-based predictive modeling (CPM) to examine the relationship between the participant's functional connectome and their respective tau/amyloid-? levels and cognitive scores (word list recall). RESULTS: CPM models strongly predicted tau concentrations and cognitive scores within the carrier group. The connectivity patterns between the temporal cortex, default mode network, and other memory networks were the most informative of tau burden. DISCUSSION: These results indicate that resting-state functional magnetic resonance imaging (fMRI) methods can complement PET methods in early detection and monitoring of disease progression in ADAD. Highlights: Connectivity-based predictive modeling of tau and amyloid-? in ADAD carriers. Strong predictions for tau deposition; weaker predictions for amyloid-?. Cognitive scores for memory and mental state are predicted strongly. Connectivity between IPL, DAN, DMN, temporal cortex most predictive. © 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. |
| Mención de responsabilidad : |
Vaibhav Tripathi, Joshua Fox-Fuller, Vincent Malotaux, Ana Baena, Nikole Bonillas Felix, Sergio Alvarez, David Aguillon, Francisco Lopera, David C. Somers, Yakeel T. Quiroz |
| Referencia : |
Alzheimer’s Dement. 2025;21:e70061. |
| DOI (Digital Object Identifier) : |
10.1002/alz.70061 |
| Derechos de uso : |
CC BY-NC-ND |
| En línea : |
https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.70061 |
| Enlace permanente : |
https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis |
Connectome-based predictive modeling of brain pathology and cognition in autosomal dominant Alzheimer's disease [texto impreso] / Sergio Álvarez Vallejo, Autor ; Tripathi, Vaibhav, Autor ; Fox Fuller, Joshua, Autor ; Malotaux, Vincent, Autor ; Baena, Ana Y, Autor ; Bonillas Felix, Nikole, Autor ; Aguillon, David Fernando, Autor ; Lopera, Francisco, Autor ; Somers, David C., Autor . - 2025. Obra : Alzheimer's & DementiaIdioma : Inglés ( eng)
| Palabras clave : |
ADAD CPM rsfMRI predictive modeling |
| Resumen : |
INTRODUCTION: Autosomal dominant Alzheimer's disease (ADAD) through genetic mutations can result in near complete expression of the disease. Tracking AD pathology development in an ADAD cohort of Presenilin-1 (PSEN1) E280A carriers’ mutation has allowed us to observe incipient tau tangles accumulation as early as 6 years prior to symptom onset. METHODS: Resting-state functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) scans were acquired in a group of PSEN1 carriers (n = 32) and non-carrier family members (n = 35). We applied connectome-based predictive modeling (CPM) to examine the relationship between the participant's functional connectome and their respective tau/amyloid-? levels and cognitive scores (word list recall). RESULTS: CPM models strongly predicted tau concentrations and cognitive scores within the carrier group. The connectivity patterns between the temporal cortex, default mode network, and other memory networks were the most informative of tau burden. DISCUSSION: These results indicate that resting-state functional magnetic resonance imaging (fMRI) methods can complement PET methods in early detection and monitoring of disease progression in ADAD. Highlights: Connectivity-based predictive modeling of tau and amyloid-? in ADAD carriers. Strong predictions for tau deposition; weaker predictions for amyloid-?. Cognitive scores for memory and mental state are predicted strongly. Connectivity between IPL, DAN, DMN, temporal cortex most predictive. © 2025 The Author(s). Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. |
| Mención de responsabilidad : |
Vaibhav Tripathi, Joshua Fox-Fuller, Vincent Malotaux, Ana Baena, Nikole Bonillas Felix, Sergio Alvarez, David Aguillon, Francisco Lopera, David C. Somers, Yakeel T. Quiroz |
| Referencia : |
Alzheimer’s Dement. 2025;21:e70061. |
| DOI (Digital Object Identifier) : |
10.1002/alz.70061 |
| Derechos de uso : |
CC BY-NC-ND |
| En línea : |
https://alz-journals.onlinelibrary.wiley.com/doi/epdf/10.1002/alz.70061 |
| Enlace permanente : |
https://hospitalpablotobon.cloudbiteca.com/pmb/opac_css/index.php?lvl=notice_dis |
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Clasificado(s) por (Año de edición descendente) Refinar búsquedaConnectome-based predictive modeling of brain pathology and cognition in autosomal dominant Alzheimer's disease / Sergio Álvarez Vallejo ; Tripathi, Vaibhav ; Fox Fuller, Joshua ; Malotaux, Vincent ; Baena, Ana Y ; Bonillas Felix, Nikole ; Aguillon, David Fernando ; Lopera, Francisco ; Somers, David C.
