Tissue- and compartment-resolved brain age reveals vascular-metabolic and neurodegenerative aging.

Hosung Kim¹, Cong Zang¹, Jinsan Lee², Elizabeth Haddad¹, Gilsoon Park¹, Jianwei Zhang¹, Jahae Kim³, Kangho Choi⁴, Yaqiong Chai¹, Andrei Irimia⁵, Priya Rajagopalan⁶, Won-Jin Moon⁷, Yonggang Shi¹, Hyung-Jeong Yang⁸, Arthur Toga⁹, Neda Jahanshad¹

¹USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California.

²Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine.

³Department of Nuclear Medicine, Chonnam National University Hospital.

⁴Department of Neurology, Chonnam National University Hospital.

⁵Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology.

⁶Los Angeles Medical Center.

⁷Department of Radiology, Konkuk University Medical Center.

⁸Department of Artificial Intelligence Convergence, Chonnam National University.

⁹Laboratory of NeuroImaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California.

PubMed PMC DOI PDF

Abstract

Brain aging reflects heterogeneous vascular-metabolic and neurodegenerative processes, yet brain age is often reduced to a gray matter (GM)-dominant estimate. Emerging evidence suggests that subtle "dirty-appearing" T2-FLAIR abnormalities may mark diffuse white matter (WM) vulnerability that precedes or extends beyond overt WM hyperintensities (WMH). Here we developed a compartment-resolved framew…

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