Association of Accelerometer-Measured Light-Intensity Physical Activity With Brain Volume

Spartano, Nicole L.; Davis‐Plourde, Kendra; Himali, Jayandra J.; Andersson, Charlotte; Pase, Matthew P.; Maillard, Pauline; DeCarli, Charles; Murabito, Joanne M.; Beiser, Alexa S.; Vasan, Ramachandran S.; Seshadri, Sudha

doi:10.1001/jamanetworkopen.2019.2745

Cited by 100 publications

(117 citation statements)

References 56 publications

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“…The tendency for more sensory motor activity in PE might reflect more attention to the body during exercise and is also consistent with previous findings using relaxation training (Tang et al, 2009;Tang, 2017). These results are consistent with recent findings that continuous light-intensity physical activity contributes to brain plasticity (Spartano et al, 2019).…”

Section: Central Nervous Systemsupporting

confidence: 94%

Long-Term Physical Exercise and Mindfulness Practice in an Aging Population

Tang

Fan

et al. 2020

Front. Psychol.

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Section: Central Nervous Systemsupporting

confidence: 94%

Long-Term Physical Exercise and Mindfulness Practice in an Aging Population

Tang

Fan

et al. 2020

Front. Psychol.

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“…In addition to ECG, wearable devices are also useful to monitor the level of activity of people. A study that analyzed data from 2354 prospective cohorts in the United States confirmed the relationship between activity and brain volume, indicating that mild exercise is associated with larger brain volume [28]. An additional one hour of mild exercise in a day can reduce the age of the brain by 1.1 years.…”

Section: Recent Cases Of Application Of Ai To Biosignals In Medicinementioning

confidence: 93%

Discovering hidden information in biosignals from patients using artificial intelligence

Yoon

Jang

Choi

et al. 2020

Korean J Anesthesiol

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Biosignals such as electrocardiogram or photoplethysmogram are widely used for determining and monitoring the medical condition of patients. It was recently discovered that more information could be gathered from biosignals by applying artificial intelligence (AI). At present, one of the most impactful advancements in AI is deep learning. Deep learning-based models can extract important features from raw data without feature engineering by humans, provided the amount of data is sufficient. This AI-enabled feature presents opportunities to obtain latent information that may be used as a digital biomarker for detecting or predicting a clinical outcome or event without further invasive evaluation. However, the black box model of deep learning is difficult to understand for clinicians familiar with a conventional method of analysis of biosignals. A basic knowledge of AI and machine learning is required for the clinicians to properly interpret the extracted information and to adopt it in clinical practice. This review covers the basics of AI and machine learning, and the feasibility of their application to real-life situations by clinicians in the near future.

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“…78,79 Individuals who exercise the most may have a larger total brain volume, with the incremental physical activity having different effects on multiple brain regions. 80 As previously mentioned, the amelioration of hemodynamic responses may be at the basis of brain modifications upon physical exercise, extraordinarily mirroring cardiovascular improvements and the acquisition of a general physical and psychological health.…”

Section: The Reciprocal Relationship Between Physical Fitness and Neumentioning

confidence: 94%

<p>Healthy Eating, Physical Activity, and Sleep Hygiene (HEPAS) as the Winning Triad for Sustaining Physical and Mental Health in Patients at Risk for or with Neuropsychiatric Disorders: Considerations for Clinical Practice</p>

Briguglio¹,

Vitale²,

Galentino³

et al. 2020

NDT

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Neuropsychiatric disorders stem from gene-environment interaction and their development can be, at least in some cases, prevented by the adoption of healthy and protective lifestyles. Once full blown, neuropsychiatric disorders are prevalent conditions that patients live with a great burden of disability. Indeed, the determinants that increase the affliction of neuropsychiatric disorders are various, with unhealthy lifestyles providing a significant contribution in the interplay between genetic, epigenetic, and environmental factors that ultimately represent the pathophysiological basis of these impairing conditions. On one hand, the adoption of Healthy Eating education, Physical Activity programs, and Sleep hygiene promotion (HEPAS) has the potential to become one of the most suitable interventions to reduce the risk to develop neuropsychiatric disorders, while, on the other hand, its integration with pharmacological and psychological therapies seems to be essential in the overall management of neuropsychiatric disorders in order to reduce the disability and improve the quality of life of affected patients. We present an overview of the current evidence in relation to HEPAS components in the prevention and management of neuropsychiatric disorders and provide suggestions for clinical practice.

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Association of Accelerometer-Measured Light-Intensity Physical Activity With Brain Volume

Cited by 100 publications

References 56 publications

Long-Term Physical Exercise and Mindfulness Practice in an Aging Population

Long-Term Physical Exercise and Mindfulness Practice in an Aging Population

Discovering hidden information in biosignals from patients using artificial intelligence

<p>Healthy Eating, Physical Activity, and Sleep Hygiene (HEPAS) as the Winning Triad for Sustaining Physical and Mental Health in Patients at Risk for or with Neuropsychiatric Disorders: Considerations for Clinical Practice</p>

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