A Trifecta of Deep Learning Models: Assessing Brain Health by Integrating Assessment and Neuroimaging Data DOI Creative Commons
Meenu Ajith, Dawn M. Aycock, Erin B. Tone

et al.

Aperture Neuro, Journal Year: 2024, Volume and Issue: 4

Published: June 13, 2024

The investigation of brain health development is paramount, as a healthy underpins cognitive and physical well-being, mitigates decline, neurodegenerative diseases, mental disorders. This study leverages the UK Biobank dataset containing static functional network connectivity (sFNC) data derived from resting-state magnetic resonance imaging (rs-fMRI) assessment data. We introduce novel approach to forecasting index (BHI) by deploying three distinct models, each capitalizing on different modalities for training testing. first model exclusively employs psychological measures, while second harnesses both neuroimaging but relies solely during third encompasses holistic strategy, utilizing testing phases. proposed models employ two-step calculating BHI. In step, input subjected dimensionality reduction using principal component analysis (PCA) identify critical patterns extract relevant features. resultant concatenated feature vector then utilized variational autoencoders (VAE). generates low-dimensional representation used BHI in new subjects without requiring results suggest that incorporating into model, even when predicting assessments alone, enhances its ability accurately evaluate health. VAE exemplifies this improvement reconstructing sFNC matrix more than Moreover, these also enable us behavioral neural patterns. Hence, lays foundation larger-scale efforts monitor enhance health, aiming build resilient systems.

Language: Английский

Sleep duration and quality are associated with health-related quality of life in adults aged 60 years and older DOI
Mitra Hariri,

Seyed Morteza Shamshirgaran,

Asieh Amini

et al.

Irish Journal of Medical Science (1971 -), Journal Year: 2024, Volume and Issue: 193(4), P. 1929 - 1937

Published: March 15, 2024

Language: Английский

Citations

0
Insomnia and aggression in stable schizophrenic patients: The mediating role of quality of life DOI Creative Commons

Ruochen Zhou,

Mengting Ye,

Xu Ouyang

et al.

Schizophrenia Research, Journal Year: 2024, Volume and Issue: 267, P. 122 - 129

Published: March 25, 2024

Aggression in schizophrenia patients is an issue of concern. Previous studies have shown that aggression may be related to insomnia and quality life different extents. This study aimed explore the potential mediating role relationship between among patients. Demographic factors affecting were also explored.

Language: Английский

Citations

0
Qualidade de vida de idosos que frequentam centros de convivência no pós-pandemia em um cidade do estado do Maranhão DOI Open Access

J. B. P. Costa,

Christianne Silva Barreto, Irene Sousa da Silva

et al.

Brazilian Journal of Health Review, Journal Year: 2024, Volume and Issue: 7(3), P. e69895 - e69895

Published: May 23, 2024

O ano de 2020 foi marcado pela pandemia COVID-19 e no Brasil o primeiro caso confirmado em fevereiro desse ano. Inicialmente tratamento ainda estava incerto a imunização sem previsão iniciar. Sendo assim, prevenção baseou-se isolamento social, qual afetou diretamente cotidiano da população. Trata-se um estudo analítico, corte transversal com abordagem quantiqualitativa, desenvolvido os idosos que frequentavam sete Centros Convivência Idosos período pré-pandemia município Caxias-MA, objetivo principal identificar principais impactos na qualidade vida dos CCIs. Apesar do cenário pós-pandemia afetar psicológica socialmente idosos, assim como próprio processo envelhecimento trazer prejuízos inerentes essa fase vida, afetam contentamento sua condição, frequentam esses centros apresentam, média, boa percepção vida.

Citations

0
Sleep Quality mediates the association between Tea Consumption and Duration of COVID-19-related Symptoms in the Elderly DOI Creative Commons

Yuxing Fan,

Yunyu Wang,

Jun Jiang

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 7, 2024

Abstract The association between tea consumption and the duration of COVID-19-related symptoms remains inconclusive. This cross-sectional study aims to investigate potential mediating role sleep quality in this association. Methods We conducted a using data from elderly individuals aged 50 above Weitang Town 2023. Detailed information on consumption, symptoms, was collected pre-designed questionnaires. Sleep assessed Pittsburgh Quality Index (PSQI). Spearman correlation analysis employed examine relationships variables. Mediation effect utilized mediation model with multi-category independent Results revealed negative associations drinking frequency, type, years, concentration, quality. Additionally, significantly positively associated whereas various variables were negatively symptoms. confirmed that partially mediated relationship daily Moreover, fully green tea, consuming for less than 15 years or more 30 concentration Conclusions Tea indirectly influences through its impact These findings highlight importance considering effects COVID-19 infection, as well reduce by improving

Language: Английский

Citations

0
A Trifecta of Deep Learning Models: Assessing Brain Health by Integrating Assessment and Neuroimaging Data DOI Creative Commons
Meenu Ajith, Dawn M. Aycock, Erin B. Tone

et al.

Aperture Neuro, Journal Year: 2024, Volume and Issue: 4

Published: June 13, 2024

The investigation of brain health development is paramount, as a healthy underpins cognitive and physical well-being, mitigates decline, neurodegenerative diseases, mental disorders. This study leverages the UK Biobank dataset containing static functional network connectivity (sFNC) data derived from resting-state magnetic resonance imaging (rs-fMRI) assessment data. We introduce novel approach to forecasting index (BHI) by deploying three distinct models, each capitalizing on different modalities for training testing. first model exclusively employs psychological measures, while second harnesses both neuroimaging but relies solely during third encompasses holistic strategy, utilizing testing phases. proposed models employ two-step calculating BHI. In step, input subjected dimensionality reduction using principal component analysis (PCA) identify critical patterns extract relevant features. resultant concatenated feature vector then utilized variational autoencoders (VAE). generates low-dimensional representation used BHI in new subjects without requiring results suggest that incorporating into model, even when predicting assessments alone, enhances its ability accurately evaluate health. VAE exemplifies this improvement reconstructing sFNC matrix more than Moreover, these also enable us behavioral neural patterns. Hence, lays foundation larger-scale efforts monitor enhance health, aiming build resilient systems.

Language: Английский

Citations

0