Distinct spatial patterns of perivascular spaces enlargement for multiple and Co-existing pathologies of cognitive impairment - 02/07/26

Doi : 10.1016/j.tjpad.2026.100631 
Woosik Kim a, b, 1, Yejin Hwang c, 1, Yelim Yang c, 1, Min Gyeong Kim b, Hyemin Jang d, Seung Hong Choi c, e, Joon-Kyung Seong a, b, f, Roh-Eul Yoo c, e, , Wha Jin Lee b,
a School of Biomedical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, South Korea 
b AI Imaging Research Center, NeuroXT, Inc., 48, Achasan-ro 17-gil, Seongdong-gu, Seoul, South Korea 
c Department of Radiology, Seoul National University College of Medicine, 101, Daehangno, Jongno-gu, Seoul, South Korea 
d Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, South Korea 
e Department of Radiology, Seoul National University Hospital, 101, Daehangno, Jongno-gu, Seoul, South Korea 
f Department of Artificial Intelligence, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, South Korea 

Corresponding author at: Department of Radiology, Seoul National University Hospital, Seoul National University College of Medicine, 101, Daehangno, Jongno-gu, Seoul, 03080, South Korea. Department of Radiology Seoul National University Hospital, Seoul National University College of Medicine 101, Daehangno, Jongno-gu Seoul 03080 South Korea ⁎⁎ Corresponding author.

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Highlights

Quantified regional PVS from thick-slice 2D T2 MRI using automated segmentation.
Basal Ganglia PVS linked predominantly to vascular pathology.
Lobar WM PVS associated with amyloid-β and vascular pathology.
Amyloid-vascular effects on PVS burden were less-than-additive.
Spatial PVS patterns disentangle mixed pathways of cognitive impairment.

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Abstract

Background

This study examines how amyloid-β and vascular pathology independently and jointly relate to regional perivascular space (PVS) burden on T2-weighted MRI.

Methods

In 307 cognitively impaired participants retrospectively identified from the Seoul National University dementia cohort, PVS were automatically quantified in the basal ganglia (BG) and lobar white matter regions from 2D T2-weighted MRI. Amyloid-β and vascular pathology positivity were defined by [18F]Florbetaben PET and small vessel disease markers. Group differences among pathology-negative ( n =36), vascular-only ( n =106), amyloid-only ( n =48), and mixed ( n =117) subgroups, as well as amyloid–vascular interactions, were assessed using analysis of covariance and multivariable linear regression.

Results

BG PVS were greater in participants with vascular burden than in pathology-negative participants ( F =26.97, p < 0.001; Cohen's d =1.28), independent of amyloid-β. Lobar PVS were higher in single-pathology than pathology-negative participants across the parietal, temporal, and occipital regions ( F =8.25–18.04, Cohen's d =0.66–0.98, all p ≤0.014), with no additional increase in the mixed group. Greater amyloid-β retention was associated with parietal, temporal, and occipital PVS in VB− participants ( β [95% CI]=0.55 [0.19, 0.92], 0.69 [0.35, 1.02], 0.40 [0.16, 0.64], respectively). Among AB− participants, vascular burden was associated with BG PVS ( β [95% CI]=0.65 [0.40, 0.89]). Multivariable regression demonstrated less-than-additive AB×VB interactions in parietal, temporal, and occipital PVS ( β [95% CI]=−0.65 [−1.08, −0.23], −0.74 [−1.13, −0.35], −0.42 [−0.70, −0.14], respectively).

Conclusions

Distinct regional PVS patterns reflect spatially selective and severity-dependent glymphatic-related structural alterations associated with amyloid-β and vascular pathologies, supporting PVS as a quantitative imaging biomarker for disentangling mixed pathways of cognitive impairment.

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Keywords : Alzheimer’s disease, Cerebral small vessel disease, Glymphatic dysfunction, MRI segmentation, Perivascular spaces


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Vol 13 - N° 8

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