Dialogues in Clinical Neuroscience最新文献

The endocannabinoid (eCB) system encompasses the eCBs anandamide and 2-arachidonoylglycerol, their anabolic/catabolic enzymes, and the cannabinoid CB₁ and CB₂ receptors. Its expansion to include several eCB-like lipid mediators, their metabolic enzymes, and their molecular targets, forms the endocannabinoidome (eCBome). This complex signaling system is deeply involved in the onset, progress, and symptoms of major neuropsychiatric disorders and provides a substrate for future therapeutic drugs against these diseases. Such drugs may include not only THC, the major psychotropic component of cannabis, but also other, noneuphoric plant cannabinoids. These compounds, unlike THC, possess a wide therapeutic window, possibly due to their capability of hitting several eCBome and non-eCBome receptors. This is particularly true for cannabidiol, which is one of the most studied cannabinoids and shows promise for the treatment of a wide range of mental and mood disorders. The eCBome plays a role also in the microbiota-gut-brain axis, which is emerging as an important actor in the control of affective and cognitive functions and in their pathological alterations.
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Chemsex is an escalating public health issue among men who have sex with men, with potentially severe somatic and psychiatric consequences. Given the limited knowledge and lack of treatment recommendations available in this area, we proposed the use of noninvasive brain stimulation in order to reduce problematic chemsex behavior. This is the first open-label case report of a positive effect of transcranial direct current stimulation (tDCS) in a patient who was complaining of severe chemsex addiction. Total disappearance of chemsex behavior occurred after 5 days of daily sessions of right prefrontal cortex stimulation and did not return after 8 months of follow-up. The strengthening of dorsolateral prefrontal cortex activity may have modulated limbic pathways and reduced incentive salience and craving of both sexual addiction and concomitant illicit drug use.
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Adolescents are constantly connected to their devices, and concerns have been raised that this connectivity is damaging their development more generally, and their mental health in particular. Recent narrative reviews and meta-analyses do not support a strong linkage between the quantity of adolescents' digital technology engagement and mental health problems. Instead, it appears that offline vulnerabilities tend to mirror and shape online risks in ways that may further amplify mental health inequalities among youth. New approaches for supporting youth mental health, especially for vulnerable youth and those typically excluded from traditional services, are now both possible and required.
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The growing amount of screen time among adolescents has raised concerns about the effects it may have on their physical and psychological health. Although the literature is divided on whether the effects are mostly positive, neutral, or mostly negative, it is likely that the impacts will be highly individualized with a mixture of good and bad consequences for each person. Understanding behavioral and neurobiological phenomena of adolescence may help to guide research and interventions to optimize the benefits and minimize the risks. Particular aspects of adolescent development relevant to the issue include: (i) hunger for human connectedness; (ii) appetite for adventure; and (iii) desire for data.
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This overview will outline the current results of neuroscience research on the possible effects of digital media use on the human brain, cognition, and behavior. This is of importance due to the significant amount of time that individuals spend using digital media. Despite several positive aspects of digital media, which include the capability to effortlessly communicate with peers, even over a long distance, and their being used as training tools for students and the elderly, detrimental effects on our brains and minds have also been suggested. Neurological consequences have been observed related to internet/gaming addiction, language development, and processing of emotional signals. However, given that much of the neuroscientific research conducted up to now relies solely on self-reported parameters to assess social media usage, it is argued that neuroscientists need to include datasets with higher precision in terms of what is done on screens, for how long, and at what age.
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The digital revolution has changed, and continues to change, our world and our lives. Currently, major aspects of our lives have moved online due to the coronavirus pandemic, and social distancing has necessitated virtual togetherness. In a synopsis of 10 articles we present ample evidence that the use of digital technology may influence human brains and behavior in both negative and positive ways. For instance, brain imaging techniques show concrete morphological alterations in early childhood and during adolescence that are associated with intensive digital media use. Technology use apparently affects brain functions, for example visual perception, language, and cognition. Extensive studies could not confirm common concerns that excessive screen time is linked to mental health problems, or the deterioration of well-being. Nevertheless, it is important to use digital technology consciously, creatively, and sensibly to improve personal and professional relationships. Digital technology has great potential for mental health assessment and treatment, and the improvement of personal mental performance.
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Virtual reality (VR) is a potentially powerful technology for enhancing assessment in mental health. At any time or place, individuals can be transported into immersive and interactive virtual worlds that are fully controlled by the researcher or clinician. This capability is central to recent interest in how VR might be harnessed in both treatment and assessment of mental health conditions. The current review provides a summary of the advantages of using VR for assessment in mental health, focusing on increasing ecological validity of highly controlled environments, enhancing personalization and engagement, and capturing real-time, automated data in real-world contexts. Considerations for the implementation of VR in research and clinical settings are discussed, including current issues with cost and access, developing evidence base, technical challenges, and ethical implications. The opportunities and challenges of VR are important to understand as researchers and clinicians look to harness this technology to improve mental health outcomes.
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This review summarizes studies on the neurobiological correlates of internet gaming disorder (IGD), presently the most direct approach to analyzing the impact of digital technology and the internet on brain mechanisms. Brain imaging studies have shown that IGD shares, to a large extent, neurobiological alterations that are typical for other addictions, such as: (i) activation in brain regions associated with reward, as evident from cue exposure and craving studies and neurotransmitter systems studies that indicate an involvement of dopamine-mediated reward mechanisms; (ii) reduced activity in impulse control areas and impaired decision making; and (iii) reduced functional connectivity in brain networks that are involved in cognitive control, executive function, motivation, and reward. Moreover, there are structural changes, mainly reduction in gray-matter volume and white-matter density. Comorbidity studies indicate that executive control networks in attention deficit-hyperactivity disorder (ADHD) may increase the susceptibility to develop IGD. Most importantly, this review also outlines findings that show the effects of excessive use of screens, here referring to the playing of computer games, which activate many brain regions associated with cognitive, motor, and sensory function and not directly involved in other forms of addiction. This review describes and summarizes comprehensively the neurobiological correlates of addictive internet use in adolescents and young adults.
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Emerging scientific evidence indicates that frequent digital technology use has a significant impact-both negative and positive-on brain function and behavior. Potential harmful effects of extensive screen time and technology use include heightened attention-deficit symptoms, impaired emotional and social intelligence, technology addiction, social isolation, impaired brain development, and disrupted sleep. However, various apps, videogames, and other online tools may benefit brain health. Functional imaging scans show that internet-naive older adults who learn to search online show significant increases in brain neural activity during simulated internet searches. Certain computer programs and videogames may improve memory, multitasking skills, fluid intelligence, and other cognitive abilities. Some apps and digital tools offer mental health interventions providing self-management, monitoring, skills training, and other interventions that may improve mood and behavior. Additional research on the positive and negative brain health effects of technology is needed to elucidate mechanisms and underlying causal relationships.
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Digital technology, including its omnipresent connectedness and its powerful artificial intelligence, is the most recent long wave of humanity's socioeconomic evolution. The first technological revolutions go all the way back to the Stone, Bronze, and Iron Ages, when the transformation of material was the driving force in the Schumpeterian process of creative destruction. A second metaparadigm of societal modernization was dedicated to the transformation of energy (aka the "industrial revolutions"), including water, steam, electric, and combustion power. The current metaparadigm focuses on the transformation of information. Less than 1% of the world's technologically stored information was in digital format in the late 1980s, surpassing more than 99% by 2012. Every 2.5 to 3 years, humanity is able to store more information than since the beginning of civilization. The current age focuses on algorithms that automate the conversion of data into actionable knowledge. This article reviews the underlying theoretical framework and some accompanying data from the perspective of innovation theory.
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