![]() Despite these substantial implications, few neuroscientific studies have focused on how we can measure and maintain brain health. However, as described in the constitution of the WHO, “health is a state of complete physical, mental and social well-being and not merely the absence of disease or infirmity.” Maintaining a healthy state is preferable and important, in terms of both improvement of the quality of life (QOL) and reduction of medical expenses for individuals and society. Here, “healthy” simply refers to the state of participants who do not have such mental illnesses. Most of these studies have compared the brain structures or functions of patients with specific diagnoses with “healthy” participants. The brain-behavior relationship has thus been gradually delineated for a wide range of mental illnesses, including neurological disorders (e.g., Alzheimer's disease and Parkinson's disease ), psychiatric disorders (e.g., depressive disorder and schizophrenia ) and developmental disorders (e.g., autism spectrum disorder ). , Europe, and other countries, where structural and functional neuroimaging techniques are widely used to reveal physiological functions of the central nervous system. Huge neuroscientific projects are therefore being conducted in the U.S. Various mental illnesses currently affect millions of people, and enormous social and economic resources are spent to treat them. We believe that our BHQ is a simple yet highly sensitive, valid measure for brain health research that will bridge the needs of the scientific community and society and help us lead better lives in which we stay healthy, active, and sharp. Further analysis revealed that the BHQ was critically affected by both physical and social factors. We confirmed that the BHQ was sensitive to an age-related decline in GM volume and WM integrity. We recruited 144 healthy adults to acquire structural neuroimaging data, including T1-weighted images and diffusion tensor images, and data associated with both physical (BMI, blood pressure, and daily time use) and social (subjective socioeconomic status, subjective well-being, post-materialism and Epicureanism) factors. We propose a magnetic resonance imaging (MRI)-based quotient for monitoring brain health, the Brain Healthcare Quotient (BHQ), which is based on the volume of gray matter (GM) and the fractional anisotropy (FA) of white matter (WM). While the physiological functions of the brain are well studied, few studies have focused on keeping the brain healthy from a neuroscientific viewpoint. ![]() Therefore, maintaining brain health and preventing these disorders are important. Neurological and psychiatric disorders are a burden on social and economic resources.
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