Voxel‐based correlation of18 F‐THK5351 accumulation with gray matter structural networks in cognitively normal older adults

Abstract Background Although gray matter (GM) structural networks based on intracortical similarities have been proposed, no studies have yet examined the correlations between GM network measures and tau. Here, we investigated the voxel‐wise correlations of GM network measures and18 F‐THK5351 accumulation in cognitively normal (CN) older adults. Method We recruited 47 amyloid‐negative CN older adults (65.0 ± 7.9 y age, 26 female, 14.3 ± 2.4 y education, Mini‐Mental State Examination score 29.3 ± 1.1, Wechsler Memory Scale‐Revised Logical Memory II score 13.4 ± 2.9). All participants underwent 3D T1‐weighted MRI,11 C‐PiB and18 F‐THK5351 PET scans. Single‐subject GM networks extracted from T1‐weighted MRI data based on intracortical similarities were analyzed using the graph theoretical approach. Correlations between four local network measures (betweenness centrality, clustering coefficient, characteristic path length, and degree) and18 F‐THK5351 standardized uptake value ratio (SUVR) images were evaluated at a voxel level using biological parametric mapping (BPM) toolbox in SPM. The results with the following criteria were deemed significant: a height threshold of p< .05 (family‐wise error corrected) with an extent threshold of 100 voxels. Result Significant positive correlations between four local network measures and18 F‐THK5351 SUVR images were detected in the bilateral caudate. Conclusion Using voxel‐based analysis, we detected significant positive correlations between local network measures and18 F‐THK5351 accumulation in the bilateral caudate in CN older adults. Our findings suggest that tau and neuroinflammation in CN elderly may influence local GM network in the caudate..

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:17

Enthalten in:

Alzheimer's & Dementia - 17(2021)

Beteiligte Personen:

Shigemoto, Yoko [VerfasserIn]
Sone, Daichi [VerfasserIn]
Maikusa, Norihide [VerfasserIn]
Kimura, Yukio [VerfasserIn]
Suzuki, Fumio [VerfasserIn]
Fujii, Hiroyuki [VerfasserIn]
Sato, Noriko [VerfasserIn]
Matsuda, Hiroshi [VerfasserIn]

BKL:

44.68

Anmerkungen:

© 2021 the Alzheimer's Association

Umfang:

1

doi:

10.1002/alz.049909

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

WLY001616609