Large‐scale Normative Modeling of Brain Microstructure over the Human Lifespan.

Julio E Villalon‐Reina, Alyssa H Zhu, Sebastian M Benavidez, Clara Moreau, Yixue Feng, Emily Laltoo, Tamoghna Chattopadhyay, Elnaz Nourollahimoghadam, Sophia I Thomopoulos, Leila Nabulsi, Katherine E Lawrence, Michael W Weiner, Clifford R. Jack, Talia M Nir, Neda Jahanshad, Paul M. Thompson

Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USAImaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, University of Southern California, Marina del Rey, CA, USA · pubmed

Paper

Abstract

Normative models (NM) of brain metrics based on large, diverse populations offer novel strategies to detect individual brain abnormalities. To create an age‐dependent statistical model of brain microstructure over the human lifespan, we built the largest multi‐site NM of white matter (WM) diffusion tensor imaging (DTI) metrics based on 54,591 subjects. We used state‐of‐the‐art tools to adjust for site‐dependent effects.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper is relevant to longevity research as it focuses on normative modeling of brain microstructure across the human lifespan, which can provide insights into age-related changes in brain health. However, while it presents a solid methodology and a large dataset, the findings primarily contribute to understanding brain metrics rather than addressing the root causes of aging or lifespan extension. Thus, it represents a solid research effort but with limited impact on the broader field of longevity.

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