The interplay between sexual desire and relationship functioning
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Pelvic physical therapy for male sexual disorders: a narrative review
Pelvic physical therapy is an evidence-based, first-line treatment for many pelvic floor disorders and sexual dysfunction. Studies have shown that pelvic physical therapy programs can both improve pelvic floor dysfunctions and sexual function. This article aims to provide an overview of the current state of the art regarding pelvic physical therapy for male sexual dysfunction to inform healthcare providers who treat men with sexual dysfunction better. A literature review was performed in Google Scholar, PubMed, and Science Direct to find review articles, research articles, and case studies about the effect of pelvic physical therapy treatments for male sexual dysfunction. Twenty-six articles were found about various pelvic physical therapy interventions. Besides this overview of the literature, an overview of interventions used in clinical practice is also provided. This narrative review supports the potential efficacy of pelvic physical therapy in addressing male sexual dysfunction. Pelvic physical therapy approaches that comprise exercise modalities, electrotherapy approaches, manipulative techniques, lifestyle changes, behavioral suggestions, and pain management strategies, should be suggested for potential benefits in improving erectile function, premature ejaculation, and sexual dysfunction-associated chronic pelvic pain. More research is needed to examine the effect of pelvic physical therapy on hypoactive sexual desire and delayed ejaculation.
Genetic architectures of childhood maltreatment and causal influence of childhood maltreatment on health outcomes in adulthood
Childhood maltreatment is increasingly recognized as a pivotal risk factor for adverse health outcomes. However, comprehensive analyses of its long-term impact are scarce. This study aims to fill this gap by examining the genetic architectures of childhood maltreatment and its influence on adult health and socioeconomic outcomes. Utilizing data from the UK Biobank (N = 129,017), we conducted sex-combined and sex-stratified genome-wide association studies to identify genomic loci associated with five childhood maltreatment subtypes. We then performed genetic correlation and Mendelian randomization (MR) analyses to assess the effects of childhood maltreatment on high-burden diseases, healthcare costs, lifespan, and educational attainment. We identified several novel loci for childhood maltreatment, including one locus for sexual abuse in sex-combined analysis, one novel locus for sexual abuse in males, one locus for emotional neglect in females, and one locus for sexual abuse in females. The pairwise genetic correlations between subtypes of childhood maltreatment were moderate to high, and similar patterns of genetic correlations between childhood maltreatment subtypes were observed in males and females. Childhood maltreatment was genetically correlated with ten out of 16 high-burden diseases significantly after multiple testing correction. Moreover, MR analyses suggest childhood maltreatment may increase the risk of age-related and other hearing loss, low back pain, major depressive disorder, and migraine in adulthood, and reduce the lifespan. Our study elucidates the genetic architecture of specific childhood maltreatment subtypes and the influence of childhood maltreatment on health outcomes in adulthood, highlighting the enduring influence of childhood maltreatment on lifelong health consequences. It is important to develop prevention strategies to lower the incidence of childhood maltreatment and provide support and care for victims of childhood maltreatment for better long-term health outcomes in the population.
The dual role of motivation on goals and well-being in higher vocational education students: a self-determination theory perspective
Students’ well-being has received increasing international attention. However, research on well-being among higher vocational education (HVE) students, particularly in non-WEIRD contexts, remains limited. This study addresses this gap by investigating the relationships between goals, motivation, and well-being for HVE students in China through the lens of self-determination theory. A survey was administered to 1106 HVE students at a vocational college in China to collect data on their goal content, motivation, and well-being. Quantitative analyses revealed that motivation plays a dual role, acting as both a mediator and a moderator in the relationship between goals and well-being. This dual role is crucial for understanding not only how goals influence well-being but also under what conditions different types of goals promote or hinder well-being. Specifically, intrinsic goals, when paired with autonomous motivation, were found to significantly predict increased well-being. While extrinsic goals combined with controlled motivation also reliably predicted well-being, this relationship should be interpreted cautiously within the specific cultural context of the study. Furthermore, positive relationships between extrinsic goals and well-being, as well as between amotivation and well-being, were observed, contrasting findings from ‘WEIRD’ contexts. This study provides novel insights into how motivation functions as both a moderator and mediator in the goal-well-being relationship within a ‘non-WEIRD,’ specifically Chinese, HVE context. These findings underscore the importance of supporting students in pursuing goals to enhance their well-being. Further research is needed to explore these relationships in diverse cultural settings.
A multimodal neural signature of face processing in autism within the fusiform gyrus
Atypical face processing is commonly reported in autism. Its neural correlates have been explored extensively across single neuroimaging modalities within key regions of the face processing network, such as the fusiform gyrus (FFG). Nonetheless, it is poorly understood how variation in brain anatomy and function jointly impacts face processing and social functioning. Here we leveraged a large multimodal sample to study the cross-modal signature of face processing within the FFG across four imaging modalities (structural magnetic resonance imaging (MRI), resting-state functional magnetic resonance imaging, task-functional magnetic resonance imaging and electroencephalography) in 204 autistic and nonautistic individuals aged 7–30 years (case–control design). We combined two methodological innovations—normative modeling and linked independent component analysis—to integrate individual-level deviations across modalities and assessed how multimodal components differentiated groups and informed social functioning in autism. Groups differed significantly in a multimodal component driven by bilateral resting-state functional MRI, bilateral structure, right task-functional MRI and left electroencephalography loadings in face-selective and retinotopic FFG. Multimodal components outperformed unimodal ones in differentiating groups. In autistic individuals, multimodal components were associated with cognitive and clinical features linked to social, but not nonsocial, functioning. These findings underscore the importance of elucidating multimodal neural associations of social functioning in autism, offering potential for the identification of mechanistic and prognostic biomarkers.
Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson’s disease
Parkinson’s disease (PD) is primarily diagnosed through its characteristic motor deficits, yet it also encompasses progressive cognitive impairments that profoundly affect quality of life. While dopaminergic medications are routinely prescribed to manage motor symptoms in PD, their influence extends to cognitive functions as well. Here we investigate how dopaminergic medication influences aberrant brain circuit dynamics associated with encoding, maintenance and retrieval working memory (WM) task-phases processes. PD participants, both on and off dopaminergic medication, and healthy controls, performed a Sternberg WM task during fMRI scanning. We employ a Bayesian state-space computational model to delineate brain state dynamics related to different task phases. Importantly, a within-subject design allows us to examine individual differences in the effects of dopaminergic medication on brain circuit dynamics and task performance. We find that dopaminergic medication alters connectivity within prefrontal-basal ganglia-thalamic circuits, with changes correlating with enhanced task performance. Dopaminergic medication also restores engagement of task-phase-specific brain states, enhancing task performance. Critically, we identify an “inverted-U-shaped” relationship between medication dosage, brain state dynamics, and task performance. Our study provides valuable insights into the dynamic neural mechanisms underlying individual differences in dopamine treatment response in PD, paving the way for more personalized therapeutic strategies.
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