PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 17, 2025Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition0 citations

Adiabatic T1ρ and MB-SWIFT resting-state fMRI for Monitoring Alzheimer’s Disease Progression in TGF344 Rats

View Full Paper
LWLin WuSPSara PonticorvoDKDee M. Koski

Key Points

  • Significant group differences in T1ρ were noted in specific brain regions at 6-months, signaling early alterations.
  • Resting-state fMRI indicated varying evolutions in connectivity over time between AD-affected rats and wild-type rats.
  • Adiabatic T1ρ and resting-state fMRI may serve as promising tools for assessing Alzheimer's disease progression.
  • Findings suggest potential pathways for early diagnosis and intervention strategies in Alzheimer's disease research.

Abstract

Motivation: Alzheimer's disease (AD) poses challenges in early diagnosis and intervention. Goal(s): To explore novel MRI techniques for detecting early progression of AD. Approach: Standard T1, adiabatic T1ρ and functional connectivity were measured in TGF344 rats and wild-type rats at 6-months and 12-months to evaluate brain microstructural and functional metrics over time. Results: Significant group differences in T1ρ were observed in medial entorhinal and postrhinal cortices at 6-months, indicating early microstructural alterations. No group-differences were seen in T1 or at 12-months. Resting-state fMRI revealed different evolutions in connectivity over time across groups, suggesting functional reorganization associated with the disease. Impact: These findings highlight the potential of adiabatic T1ρ and resting-state fMRI as valuable tools in evaluating Alzheimer's disease progression, paving the way for future research focused on early diagnosis and intervention strategies.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/68d45b0b31b076d99fa5d33ahttps://doi.org/10.58530/2025/4209
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Functional and Structural Connectivity in a Non-Transgenic Model of Alzheimer’s Disease2026
  2. 2Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease2024 · 5 citations
  3. 3Resting-state functional dynamics alterations relate to plasma amyloid markers and statistically explain memory impairments in the TgF344-AD model of Alzheimer’s disease2026
  4. 4Functional and Structural Connectivity in the TgF344-AD Transgenic Rat Model of Alzheimer's Disease using rs-fMRI & DTI at 21.1 T2024
  5. 5Regional-based static and dynamic alterations in Alzheimer disease: a longitudinal study2024