Banks of the Superior Temporal Sulcus in Alzheimer’s Disease: A Pilot Quantitative Susceptibility Mapping Study

Author:

Sacchi Luca1,Contarino Valeria Elisa2,Siggillino Silvia2,Carandini Tiziana3,Fumagalli Giorgio Giulio4,Pietroboni Anna Margherita3,Arcaro Marina3,Fenoglio Chiara5,Orunesu Eva6,Castellani Massimo6,Casale Silvia2,Conte Giorgio2,Liu Chunlei7,Triulzi Fabio25,Galimberti Daniela13,Scarpini Elio35,Arighi Andrea3

Affiliation:

1. Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy

2. Department of Neuroradiology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy

3. Neurodegenerative Diseases Unit, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy

4. Center For Mind/Brain Sciences-CIMeC, University of Trento, Rovereto, Italy

5. Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy

6. Nuclear Medicine Unit, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy

7. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, USA

Abstract

Background: Brain iron homeostasis is disrupted in neurodegeneration and areas of iron overload partially overlap with regions of amyloid and tau burden in Alzheimer’s disease (AD). Previous studies demonstrated alterations in brain iron accumulation in AD using quantitative susceptibility mapping (QSM). Objective: Here, we investigate brain alterations of QSM values in AD and non-AD patients as compared to healthy controls (HC) in the superior temporal sulcus and its banks (BANKSSTS), one of the top AD-affected regions. Methods: Thirty-four patients who underwent brain MRI including a multi-echo gradient-echo sequence were subdivided into AD (n = 19) and non-AD (n = 15) groups according to their clinical profile, CSF (Aβ42/40) and/or amyloid-PET status. Ten HC were also included. QSM values were extracted from left and right BANKSSTS and compared among groups. Correlation and binomial regression analyses between QSM values and CSF-AD biomarkers were conducted. Results: QSM in left BANKSSTS was significantly different among groups (p = 0.003, H = 11.40), being higher in AD. QSM values in left BANKSSTS were correlated with Aβ42 (rho –0.55, p = 0.005), Aβ42/40 (rho –0.66, p < 0.001), pTau (rho 0.63, p < 0.001), tTau (rho 0.56, p = 0.005), tTau/Aβ42 (rho 0.68, p < 0.001) and pTau/Aβ42 (rho 0.71, p < 0.001). No correlations between QSM values and amyloid-PET SUVR in the left BANKSSTS were found. QSM values in left BANKSSTS showed good accuracy in discriminating AD (AUC = 0.80, CI95 % [0.66–0.93]). Higher QSM values were independent predictors of Aβ42 (B = 0.63, p = 0.032), Aβ42/40 (B = 0.81, p = 0.028), pTau (B = 0.96, p = 0.046), tTau (B = 0.55, p = 0.027), and tTau/Aβ42 (B = 1.13, p = 0.042) positivity. Conclusion: Our preliminary data support the potential role of increased QSM values in the left BANKSSTS as an auxiliary imaging biomarker in AD diagnosis.

Publisher

IOS Press

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Clinical Psychology,General Medicine,General Neuroscience

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