Automated Measurements of Brain Morphometry Derived from T1-weighted Magnetic Resonance Imaging Fluctuate from Morning to Afternoon
Aaron Trefler1, Neda Sadeghi2, Adam Thomas1, Carlo Pierpaoli2, Chris Baker1, and Cibu Thomas3
1National Institute of Mental Health, Bethesda, MD, United States, 2National Institute of Child Health and Human Development, Bethesda, MD, United States, 3Center for Neuroscience and Regenerative Medicine, Bethesda, MD, United States
Automated measures of brain morphometry
derived from T1-weighted (T1W) images are typically used as
proxy measures to investigate the relation between brain structure and behavior.
However, the computation of T1W morphometric measures can be influenced
by subject-related factors such as head motion1 and level of hydration2. Here, we provide a comprehensive
assessment of the impact of time-of-day (TOD) on widely used measures of brain
morphometry in healthy young adults. Our results show that the apparent volume
of all major tissue compartments as well as measures of brain morphometry such
as cortical thickness and gray matter density are significantly influenced by
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