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The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.
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Purpose@#The objective of the study was to explore how urology-related news, one of the medical specialties profoundly linked to human health and life, is communicated to the public through media outlets that serves as primary sources of medical information for the public. @*Methods@#In this study, articles were retrieved using the keyword ‘Urology’ from the Bigkinds spanning from January 1, 1990 to August 17, 2023. The Beautifulsoup library in Python was utilized for parsing the text to collect both titles and bodies of the articles. The gathered data was then analyzed using the latent Dirichlet allocation (LDA) algorithm from the scikit-learn library. Additionally, tools such as Wordcloud and Networkx were employed to visualize the relationships and patterns within the data. @*Results@#The keyword analysis led to the identification of various themes in the articles, with a clear distinction between those providing medical information and those promoting healthcare services, technologies, and products. Notably, the content frequently intertwined informational aspects with promotional ones. Articles on men’s health and pet diseases, for example, often combined educational material with product or procedure promotions. This overlap highlights the complexity of categorizing media content into distinct themes. Furthermore, the coverage of health insurance and treatment methods including recent advancements like robotic surgery reflected the evolving nature of healthcare discussions to emphasize the interplay between policy changes, medical advancements, and media portrayal. @*Conclusions@#By identifying 10 distinct topics mentioned in the news, the analysis determined which topics are common in urology-related news coverage. The findings revealed a substantial volume of medical information on urology in the media with a wide range of topics including treatment and prevention of urologic conditions, insurance information, new treatments, and news stories promoting new products or hospitals.
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Fear conditioning and extinction, which are adaptive processes to learn and avoid potential threats, have essential roles in the pathophysiology of anxiety disorders. Experimental fear conditioning and extinction have been used to identify the mechanism of fear and anxiety in humans. However, the brain-based mechanisms of fear conditioning and extinction are yet to be established. In the current review, we summarized the results of neuroimaging studies that examined the brain changes—functional activity and structures—regarding fear conditioning or extinction in healthy individuals. The functional activity of the amygdala, insula, anterior cingulate gyrus, ventromedial prefrontal cortex, and hippocampus changed dynamically with both fear conditioning and extinction. This review may provide an up-to-date summary that may broaden our understanding of pathophysiological mechanisms of anxiety disorder. In addition, the brain regions that are involved in the fear conditioning and extinction may be considered as potential treatment targets in the future studies.
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Sleep is essential to brain function and mental health. Insomnia and obstructive sleep apnea (OSA) are the two most common sleep disorders, and are major public health concerns. Proton magnetic resonance spectroscopy (1H-MRS) is a non-invasive method of quantifying neurometabolite concentrations. Therefore, 1H-MRS studies on individuals with sleep disorders may enhance our understanding of the pathophysiology of these disorders. In this article, we reviewed 1H-MRS studies in insomnia and OSA that reported changes in neurometabolite concentrations. Previous studies have consistently reported insomnia-related reductions in γ-aminobutyric acid (GABA) levels in the frontal and occipital regions, which suggest that changes in GABA are important to the etiology of insomnia. These results may support the hyperarousal theory that insomnia is associated with increased cognitive and physiological arousal. In addition, the severity of insomnia was associated with low glutamate and glutamine levels. Previous studies of OSA have consistently reported reduced N-acetylaspartate (NAA) levels in the frontal, parietooccipital, and temporal regions. In addition, OSA was associated with increased myo-inositol levels. These results may provide evidence that intermittent hypoxia induced by OSA may result in neuronal damage in the brain, which can be related to neurocognitive dysfunction in patients with OSA. The current review summarizes findings related to neurochemical changes in insomnia and OSA. Future well-designed studies using 1H-MRS have the potential to enhance our understanding of the pathophysiology of sleep disorders including insomnia and OSA.
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It is well known that sex hormones are potential modulators of brain functions and women experience dynamic hormonal changes during the menstrual cycle. Previous animal studies have reported that the variations in sex hormones over the menstrual cycle may affect cognitive function, emotion, and behavior by altering structures and functional connectivity of the brain. Considering the prevalence of certain neuropsychiatric disorders such as mood and anxiety disorders is relatively high in women, as compared with men, fluctuations of sex hormones over the menstrual cycle may influence the human brain and potentially underlie sex differences in clinical features of several neuropsychiatric disorders. There is, however, little evidence regarding the exact mechanisms underlying the effects of sex hormones on the human brain. In this review, we focused on studies to examine structural and functional changes over the menstrual cycles in women and aimed to provide an up-to-date overview of neuroimaging studies regarding the effects of sex hormonal fluctuations on the brain and behaviors.
ABSTRACT
Sleep is essential to brain function and mental health. Insomnia and obstructive sleep apnea (OSA) are the two most common sleep disorders, and are major public health concerns. Proton magnetic resonance spectroscopy (1H-MRS) is a non-invasive method of quantifying neurometabolite concentrations. Therefore, 1H-MRS studies on individuals with sleep disorders may enhance our understanding of the pathophysiology of these disorders. In this article, we reviewed 1H-MRS studies in insomnia and OSA that reported changes in neurometabolite concentrations. Previous studies have consistently reported insomnia-related reductions in γ-aminobutyric acid (GABA) levels in the frontal and occipital regions, which suggest that changes in GABA are important to the etiology of insomnia. These results may support the hyperarousal theory that insomnia is associated with increased cognitive and physiological arousal. In addition, the severity of insomnia was associated with low glutamate and glutamine levels. Previous studies of OSA have consistently reported reduced N-acetylaspartate (NAA) levels in the frontal, parietooccipital, and temporal regions. In addition, OSA was associated with increased myo-inositol levels. These results may provide evidence that intermittent hypoxia induced by OSA may result in neuronal damage in the brain, which can be related to neurocognitive dysfunction in patients with OSA. The current review summarizes findings related to neurochemical changes in insomnia and OSA. Future well-designed studies using 1H-MRS have the potential to enhance our understanding of the pathophysiology of sleep disorders including insomnia and OSA.
ABSTRACT
It is well known that sex hormones are potential modulators of brain functions and women experience dynamic hormonal changes during the menstrual cycle. Previous animal studies have reported that the variations in sex hormones over the menstrual cycle may affect cognitive function, emotion, and behavior by altering structures and functional connectivity of the brain. Considering the prevalence of certain neuropsychiatric disorders such as mood and anxiety disorders is relatively high in women, as compared with men, fluctuations of sex hormones over the menstrual cycle may influence the human brain and potentially underlie sex differences in clinical features of several neuropsychiatric disorders. There is, however, little evidence regarding the exact mechanisms underlying the effects of sex hormones on the human brain. In this review, we focused on studies to examine structural and functional changes over the menstrual cycles in women and aimed to provide an up-to-date overview of neuroimaging studies regarding the effects of sex hormonal fluctuations on the brain and behaviors.
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Hyperbaric oxygen therapy (HBOT) is a noninvasive method that supplies pure oxygen under a pressure greater than normal atmospheric pressure to increase the partial pressure of oxygen in the plasma and tissue. Based on the potential mechanisms of HBOT, including neuroprotection and neurological recovery, HBOT has been suggested as a promising therapeutic option for neurological and psychiatric disorders. This review specifically focused on the clinical trials applying HBOT for psychiatric disorders published during the recent decade. We critically reviewed the efficacy and safety of HBOT in psychiatric disorders, and cautiously suggested the future directions for further research.
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Repetitive transcranial magnetic stimulation (rTMS) is widely recognized as an effective and noninvasive neuromodulation for treating depression, and has been applied in a wide range of clinical settings. However, previous studies often reported inconsistent antidepressant effects that may be due to differences in the rTMS protocols such as coil placement. The typical simulation site for rTMS depression protocol is the left dorsolateral prefrontal cortex (DLPFC). Targeting the exact site of the left DLPFC while considering individual brain structure has been challenging due to the non-invasive nature of rTMS. Several researchers have applied various targeting methods to overcome the abovementioned issue. Most of the previous studies have applied the “5-cm rule” or the “international 10-20 system,” which is easily applicable. Recently, researchers started to apply a neuronavigation system that targets the stimulation site based on neuroimaging of each individual. Pros and cons of targeting methods have been discussed in terms of validity and reliability of targeting stimulation sites, differences in treatment responses, as well as considerations of individual characteristics. Therefore, the current review focuses on the targeting methods of stimulation site and the treatment effects of depression in previous studies. For discussion, we divided neuronavigation methods into using fixed coordinates and using individualized targets. Furthermore, the limitations of each targeting method are discussed that may potentially contribute to the development of the optimal rTMS protocol for depression treatment.
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Transcranial direct current stimulation (tDCS) is a non-invasive and effective neuromodulatory technique to modulate cortical activities by applying 1 to 2 milliamps electric current. The use of tDCS to enhance cognitive function such as executive function and memory has attracted much attention in recent years, and a lot of studies have been carried out to identify neural mechanisms underlying cognitive enhancement effects of tDCS. In this review, we discussed the previous neuroimaging studies on applications of tDCS for cognitive enhancement using functional magnetic resonance imaging (fMRI). Previous tDCS studies for neurological or psychiatric conditions and elderly individuals suggested that cognitive enhancement effects of tDCS were associated with normalizing aberrant brain networks and activities related to pathophysiology. Moreover, tDCS-induced cognitive enhancement in healthy individuals was associated with functional changes in brain activations and network connectivity. Furthermore, cognitive enhancement effects of tDCS were varied depending on the neurological structure and functional characteristics between individuals. The current review may provide critical insights into functional activity and connectivity of the brain regarding cognitive enhancement effects of tDCS, which could give direction for further studies on identifying the specific neural mechanisms and clinical strategies of tDCS.
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Cognitive enhancement refers to the improvement of cognitive function related to deficits that occurred as part of a certain illness. However, the term cognitive enhancement does not yet have a definitive meaning, and its connotations often vary depending on the research of interest. Recently, research interests are growing towards enhancing human cognition beyond what has traditionally been considered necessary using various brain devices. The phenomenon of exceeding the cognitive abilities of individuals who are already functional has also introduced new terminologies as means to classify between cognitive enhancing procedures that are part of treatment versus simply supplementary. Of the many devices used to attain cognitive enhancement, transcranial magnetic stimulation (TMS) is a unique neurostimulatory device that has demonstrated significant improvements in various cognitive domains including memory and cognitive processing skills. While many studies have supported the safety and efficacy of TMS in treatment, there has yet to be an optimization in parameter for TMS that is catered to a certain target group. The current paper aims to review with perspective the many studies that have used TMS for the purpose of cognitive enhancement and provide further insight on the development of an optimal stimulation parameter. The paper reviews 41 peer-reviewed articles that used TMS for cognitive enhancement, summarizes the findings that were apparent for each distinct parameter, and discusses future directions regarding TMS as an elective tool for healthy individuals while considering some of the ethical perspectives that may be warranted.
Subject(s)
Humans , Brain , Cognition , Memory , Neuropsychological Tests , Transcranial Magnetic StimulationABSTRACT
Since non-cardiac chest discomfort (NCCD) can result in substantial healthcare burden and lower quality of life, interventions such as cognitive behavioral therapy (CBT) have been investigated for the relief of NCCD. In this review, we aimed to summarize the evidence on the efficacy of the CBT for the treatment of NCCD while introducing a newly-developed computerized CBT program for NCCD. Studies applying CBT to individuals with NCCD were searched for from both English and Korean electronic databases. Among 37 studies, 11 randomized controlled trials, 4 case-control studies, 1 case series, and 2 review articles were eligible for this review. Efficacy of conventional CBT for NCCD was shown in a series of studies as most of them reported improved symptom severity of NCCD or NCCD-related anxiety. However, a substantial variability existed among these studies in participants, treatment procedures and durations. High attrition rates were also reported in these studies on conventional CBT. Computerized CBT could be an alternative to the conventional CBT as it can be standardized and more easily accessible, but it was only reported in one previous study. In addition to the literature review, we presented a newly-developed computerized CBT program for NCCD which may overcome some of the limitations of conventional CBT. A computerized CBT could be an alternative treatment of NCCD, however, need further studies on its usefulness.
Subject(s)
Anxiety , Case-Control Studies , Chest Pain , Cognitive Behavioral Therapy , Delivery of Health Care , Quality of Life , Therapy, Computer-Assisted , ThoraxABSTRACT
OBJECTIVE: To develop a simplified functional scale and classification system to evaluate the functional abilities of patients with Duchenne muscular dystrophy (DMD). METHODS: A Comprehensive Functional Scale for DMD (CFSD) was developed using the modified Delphi method. The accompanying Ambulatory Functional Classification System for DMD (AFCSD) was developed based on previously published classification systems. RESULTS: The CFSD consists of 21 items and 78 sub-items, assessing body structure and function, activities, and participation. Inter-rater intraclass correlation coefficient values were above 0.7 for 17 items. The overall limits of agreement between the two examiners ranged from -6.21 to 3.11. The Spearman correlation coefficient between the total score on the AFCSD and the Vignos Functional Scale was 0.833, and 0.714 between the total score of the AFCSD and the Brooke scale. Significant negative correlations existed between the total score for each functional level of the AFCSD and each functional grade of the Vignos and Brooke scales. The total scores of the CFSD varied significantly between the functional grades of the Vignos scale, and specific grades of the Brooke scale. For the AFCSD, total scores of the CFSD varied significantly between the functional levels. CONCLUSION: We have developed a new scale and the associated classification system, to assess the functional ability of children diagnosed with DMD. Preliminary evaluation of the psychometric properties of the functional scale and classification systems indicate sufficient reliability and concurrent validity.
Subject(s)
Child , Humans , Classification , Methods , Muscular Dystrophy, Duchenne , Psychometrics , Reproducibility of Results , Weights and MeasuresABSTRACT
Insomnia is a common sleep-related symptom which occurs in many populations, however, the neural mechanism underlying insomnia is not yet known. The hyperarousal model explains the neural mechanism of insomnia to some extent, and the frontal cortex dysfunction has been known to be related to primary insomnia. In this review, we discuss studies that applied resting state and/or task-related functional magnetic resonance imaging to demonstrate the deficits/dysfunctions of functional activation and network in primary insomnia. Empirical evidence of the hyperarousal model and proposed relation between the frontal cortex and other brain regions in primary insomnia are examined. Reviewing these studies could provide critical insights regarding the pathophysiology, brain network and cerebral activation in insomnia and the development of novel methodologies for the diagnosis and treatment of insomnia.
Subject(s)
Brain , Diagnosis , Frontal Lobe , Magnetic Resonance Imaging , Sleep Initiation and Maintenance DisordersABSTRACT
Shift workers experience a disruption in the circadian sleep-wake rhythm, which brings upon adverse health effects such as fatigue, insomnia and decreased sleep quality. Moreover, shift work has deleterious effects on both work productivity and safety. In this review, we present a brief overview of the current literature on the consequences of shift work, especially focusing on attention-associated cognitive decline and related behavioral changes. We searched two electronic databases, PubMed and RISS, using key search terms related to cognitive domains, deleterious effects, and shift work. Twenty studies were eligible for the final review. The consequences of shift work can be classified into the following three categories extracted from the literature review : 1) work accidents ; 2) commuting accidents such as car accidents that occur on the way to and from work ; and 3) attendance management at work (i.e., absenteeism, tardiness, and unscheduled early departure). These cognitive and behavioral consequences of shift work were also found to be associated with sleep disorders in shift workers. Thus, improvements in the shift work system are necessary in order to enhance workers' health conditions, work productivity, and safety.
Subject(s)
Absenteeism , Cognition , Efficiency , Fatigue , Sleep Initiation and Maintenance Disorders , Sleep Wake Disorders , TransportationABSTRACT
The proton magnetic resonance spectroscopy (¹H-MRS) is a tool used to detect concentrations of brain metabolites such as N-acetyl aspartate, choline, creatine, glutamate, and gamma-amino butyric acid (GABA). It has been widely used because it does not require additional devices other than the conventional magnetic resonance scanner and coils. Demyelination, or the neuronal damage due to loss of myelin sheath, is one of the common pathologic processes in many diseases including multiple sclerosis, leukodystrophy, encephalomyelitis, and other forms of autoimmune diseases. Rodent models mimicking human demyelinating diseases have been induced by using virus (e.g., Theiler's murine encephalomyelitis virus) or toxins (e.g., cuprizon or lysophosphatidyl choline). This review is an overview of the MRS findings on brain metabolites in demyelination with a specific focus on rodent models.
Subject(s)
Animals , Humans , Aspartic Acid , Autoimmune Diseases , Brain , Butyric Acid , Choline , Creatine , Demyelinating Diseases , Encephalomyelitis , Glutamic Acid , Models, Animal , Multiple Sclerosis , Myelin Sheath , Neurons , Pathologic Processes , Proton Magnetic Resonance Spectroscopy , Rodentia , Spectrum AnalysisABSTRACT
Alcohol dependence is a serious disorder that can be related with a number of potential health-related and social consequences. Cortical thickness measurements would provide important information on the cortical structural alterations in patients with alcohol dependence. Twenty-one patients with alcohol dependence and 22 healthy comparison subjects have been recruited and underwent high-resolution brain magnetic resonance (MR) imaging and clinical assessments. T1-weighted MR images were analyzed using the cortical thickness analysis program. Significantly thinner cortical thickness in patients with alcohol dependence than healthy comparison subjects was noted in the left superior frontal cortical region, correcting for multiple comparisons and adjusting with age and hemispheric average cortical thickness. There was a significant association between thickness in the cluster of the left superior frontal cortex and the duration of alcohol use. The prefrontal cortical region may particularly be vulnerable to chronic alcohol exposure. It is also possible that the pre-existing deficit in this region may have rendered individuals more susceptible to alcohol dependence.