Loading...

4,068 posters, 219 videos, 101 topics, 69 sessions, 14,365 authors, 6,128 institutions

ePostersLive by SciGen Technologies S.A. All rights reserved.

Alzheimer's Association International Conference 2026

July 12-15, 2026 | London, United Kingdom, and Online

Alzheimer's Association International Conference 2026 banner

13800

Dissociable Patterns Of ATL And IFG Degeneration Distinguish TDP-C From Pick’s Disease

Part of Topic

Biomarkers -> Neuroimaging -> Differential diagnosis

INTRODUCTION

  • Anterior temporal lobe (ATL) degeneration is a hallmark of several primary progressive aphasia syndromes.
  • In particular, ATL atrophy is characteristic of frontotemporal lobar degeneration due to TDP-43, type C (FTLD-TDP type C, or TDP-C).
  • However, Pick’s disease (PiD), a subtype of FTLD-tau, can also affect the ATL early, along with the inferior frontal gyrus (IFG).
  • We examined differences in ATL atrophy between TDP-C and PiD and tested whether combined ATL and IFG thinning could distinguish TDP-C from PiD pathology.

 

METHODS

  • Twenty-eight right-handed PPA cases (PiD, N = 11; TDP-C, N = 17) and 35 age-matched controls underwent structural MRI at their initial visit to the Northwestern PPA Program.
  • T1-weighted images were acquired on a Siemens 3T scanner and processed with FreeSurfer to extract cortical thickness.
  • Two global regions of interest (ROIs) were defined using the Human Connectome Project (HCP) atlas:
    • Left anterior temporal lobe (ATL; 9 parcels)
    • Inferior frontal gyrus (IFG; 6 parcels)
  • Cortical thickness values were converted to z-scores relative to the control mean for each ROI.
  • Logistic regression models evaluated whether mean ATL and IFG thickness predicted pathology, first at the global ROI level and then at the sub-ROI (parcel) level.
  • A composite measure of ATL and IFG thinning was compared with models including each ROI separately using Akaike Information Criterion (AIC).

 

RESULTS

  • ROI-wise analyses revealed a dissociation in regional vulnerability (Figure 2).
  • ATL cortical thickness patterns were similar between TDP-C and PiD, with TGd and TGv as the most atrophied regions.
  • IFG cortical thickness patterns differed between TDP-C and PiD, with mean values for TDP-C regions almost all above −1.5 SD except for area 47s.
  • Logistic regressions showed ATL thinning predicted TDP-C (β = −1.95, p = 0.006), and IFG thinning predicted PiD (β = 1.59, p = 0.018).
  • Individual ROI analyses showed:
    • ATL thinning in TGd, STSda, STGa, TGv, PeEC, TE2a, STSva, and TE1a predicted TDP-C.
    • IFG thinning in FOP4, FOP5, and area 44 predicted PiD (FDR-corrected p < 0.05).
  • A model including ATL and IFG as independent predictors provided the best fit and resulted in near-complete separation of the pathology groups.

 

CONCLUSION

  • TDP-C and PiD exhibit distinct regional atrophy patterns, with TDP-C showing predominant ATL thinning and PiD greater IFG involvement.
  • Despite early ATL degeneration, IFG atrophy alone remained the best predictor of underlying PiD.
  • Future studies will assess additional imaging modalities (e.g., white matter tracts) to further characterize ATL vulnerability across these pathologies.

Comments

Email is required but is not shown publicly.

Loading comments...

aaic2026 banner
Copyright © 2015-2026, ePostersLive® SciGen is a registered trademark of SciGen Technologies S.A. Patent pending.

This website and third-party tools we use rely on cookies for the best user experience. By selecting "I agree", you agree to cookie usage as described in our Privacy Policy.