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Updated: Jan 11, 2026

3D Modeling of the Lateral Ventricles and Histological Characterization of Periventricular Tissue in Humans and Mouse
Published on: May 19, 2015
Brain aging and cognitive decline accelerate beyond a threshold of periventricular white matter hyperintensity
Niraj Kumar Gupta1, Neha Yadav1, Vivek Tiwari1
1Department of Biological Sciences, Indian Institute of Science Education and Research (IISER) Berhampur, Berhampur, Ganjam, Odisha, 760003, India.
None:
A substantial subset of cognitively normal (CN) older adults accumulates high burdens of Periventricular (PVWMH) and Deep White Matter Hyperintensities (DWMH), surrogate neuroimaging-markers of cerebral small-vessel disease, while others have minimal or no white matter hyperintensity (WMH). Using multi-modal Magnetic Resonance Imaging (MRI) from National Alzheimer's Coordinating Centre (NACC) (n = 986) and Alzheimer's Disease Neuroimaging Initiative (ADNI) (n = 382) cohorts spanning CN, cognitively impaired (CI), and CI with Alzheimer's etiology (CI-AD) aged 50-94 years, we investigated whether total WMH burden or specifically PVWMH and DWMH, surpassing a threshold disrupts neuroanatomy and cognition. PVWMH and DWMH volume increased exponentially with age, but PVWMH rose twice as fast, with inflection at 61 years. PVWMH > 2.3 mL, independent of age, was associated with structural atrophy (rostralmiddlefrontal, pre/postcentral gyri, lingual-gyrus, nucleus-accumbens), global fiber disintegration, and impairments in executive, attentional, semantic domains. DWMH effects were negligible. Longitudinal mixed-models in NACC and ADNI confirmed that PVWMH progression, not DWMH, predicted accelerated atrophy. PVWMH-related neuroanatomic loss mediates cognitive decline. The 2.3 mL threshold was validated in ADNI3. While both are visible on routine MRI, only PVWMH demonstrated threshold-dependent effects. Progression to ≥2.3 mL marks a threshold, demanding clinical surveillance, vascular-risk management, and recognition of accelerated brain-aging. Neuroimaging-based quantification of PVWMH, combined with domain-specific cognitive testing provides robust measures of clinical surveillance, definitive of brain health.
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