Connectomics modeling of regional networks of white-matter fractional anisotropy to predict the severity of young adult drinking DOI Open Access

Yashuang Li,

Guangfei Li, Lin Yang

и другие.

Quantitative Imaging in Medicine and Surgery, Год журнала: 2025, Номер 15(3), С. 2405 - 2419

Опубликована: Март 1, 2025

Alcohol use impacts brain structure, including white matter integrity, which can be quantified by fractional anisotropy (FA) in diffusion tensor imaging (DTI). This study explored the relationship between severity of alcohol consumption and FA changes, its sex differences, young adults, using data from Human Connectome Project. We analyzed DTI 949 participants (491 females) used principal component analysis (PCA) 15 drinking metrics to quantify severity. Connectome-based predictive modeling (CPM) was employed predict network values a matrix 116×116 regions. Mediation analyses were conducted explore interrelationships among networks identified CPM, severity, rule-breaking behavior. Significant correlations found values. Both men women showed significant negative connectivity (men: r=0.15, P=0.001; women: r=0.30, P<0.001). Sex differences observed regions contributing predictions. revealed inter-relationships features, The connectomics consumption, incorporating pathways, identify differences. approach provides new clues biological basis abuse evaluates how these interact broader for understanding misuse comorbidities.

Язык: Английский

Suicide Risk in Alcohol Use Disorders: Literature Review and Study Protocol with Preliminary Data for a Study in Treatment-Seeking Inpatients DOI Open Access

Marika Krystkiewicz,

Michael B. Soyka

Healthcare, Год журнала: 2025, Номер 13(5), С. 535 - 535

Опубликована: Фев. 28, 2025

Background/Objectives: Individuals with substance use disorders are at risk of displaying suicidal behavior suicide occurring more frequently compared to the general population. This article gives an overview existing literature on association disorders, especially alcohol disorder (AUD), behavior. Studies indicate that individuals AUD report a lifetime prevalence 40% for least one instance attempted suicide. They also have 10 14 times higher Methods: The protocol and preliminary data from ongoing study focused clinical correlations ideation attempts in treatment-seeking inpatients presented. objective this is address open questions regarding factors psychiatric comorbidities associated suicidality patients AUD. In pilot feasibility inpatient rehabilitation facility treatment 150 were examined. For assessment, Beck Depression Inventory (BDI-II), Symptom Check-list-90 (SCL-90), Scale Suicidal Experience Behavior (SSEV) used as standardized questionnaires. addition, psychosocial sociodemographic variables recorded. A total 257 items surveyed each respondent. statistical analysis was carried out using IBM SPSS. Results: initial evaluation indicates high number responders (90% response rate). Of participants surveyed, 50.7% (N = 76) 40.7% 61) had already made attempt. Even small sample size, significant, moderate-to-large correlation between could be demonstrated. Conclusions: confirms factor role comorbidity, consequences AUD, Gender outcome will studied larger 700 patients.

Язык: Английский

Процитировано

0

Connectomics modeling of regional networks of white-matter fractional anisotropy to predict the severity of young adult drinking DOI Open Access

Yashuang Li,

Guangfei Li, Lin Yang

и другие.

Quantitative Imaging in Medicine and Surgery, Год журнала: 2025, Номер 15(3), С. 2405 - 2419

Опубликована: Март 1, 2025

Alcohol use impacts brain structure, including white matter integrity, which can be quantified by fractional anisotropy (FA) in diffusion tensor imaging (DTI). This study explored the relationship between severity of alcohol consumption and FA changes, its sex differences, young adults, using data from Human Connectome Project. We analyzed DTI 949 participants (491 females) used principal component analysis (PCA) 15 drinking metrics to quantify severity. Connectome-based predictive modeling (CPM) was employed predict network values a matrix 116×116 regions. Mediation analyses were conducted explore interrelationships among networks identified CPM, severity, rule-breaking behavior. Significant correlations found values. Both men women showed significant negative connectivity (men: r=0.15, P=0.001; women: r=0.30, P<0.001). Sex differences observed regions contributing predictions. revealed inter-relationships features, The connectomics consumption, incorporating pathways, identify differences. approach provides new clues biological basis abuse evaluates how these interact broader for understanding misuse comorbidities.

Язык: Английский

Процитировано

0