Publications by authors named "Marston H"

The PRISM project, funded by the EU's Innovative Medicines Initiative, has identified a transdiagnostic, pathophysiological relationship between the integrity of the default mode network (DMN) and social dysfunction. To explore the causal link between DMN integrity and social behaviour, we employed a preclinical back-translation approach, using focal demyelination of the forceps minor to disrupt DMN connectivity in mice. By applying advanced techniques such as functional ultrasound imaging and automated analysis of social behaviour, we demonstrated that reduced DMN connectivity leads to impaired social interactions and increased anxiety in mice.

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Background And Objectives: "Successful aging" concerns the process of growing older while maintaining physical, cognitive, and social well-being, emphasizing independence for overall satisfaction and quality of life. We investigate the impact of eHealth literacy on reducing loneliness and sustaining well-being during the pandemic, comparing middle- and high-income countries.

Research Design And Methods: Online surveys were conducted between April 4, 2020, and September 30, 2021, collecting responses (N = 2,091) from medium- and high-income countries in Europe, Asia, and North America.

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Efficient evidence generation to assess the clinical and economic impact of medical therapies is critical amid rising healthcare costs and aging populations. However, drug development and clinical trials remain far too expensive and inefficient for all stakeholders. On October 25-26, 2023, the Duke Clinical Research Institute brought together leaders from academia, industry, government agencies, patient advocacy, and nonprofit organizations to explore how different entities and influencers in drug development and healthcare can realign incentive structures to efficiently accelerate evidence generation that addresses the highest public health needs.

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Article Synopsis
  • Current mental disorder classifications are based on convention and symptom clusters rather than biological mechanisms, leading to significant overlap and variability in diagnoses.
  • There is a need for a new diagnostic framework that incorporates neurobiology to enhance treatment options and help patients better understand their illnesses.
  • The ECNP New Frontiers Meeting 2024 aims to establish a roadmap for improved precision diagnostics by focusing on innovative technologies, the biology of mental illness, and translating this knowledge into effective treatment strategies.*
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Recently the 1/f signal of human electroencephalography has attracted attention, as it could potentially reveal a quantitative measure of neural excitation and inhibition in the brain, that may be relevant in a clinical setting. The purpose of this short article is to show that the 1/f signal depends on the vigilance state of the brain in both humans and mice. Therefore, proper labelling of the EEG signal is important as improper labelling may obscure disease-related changes in the 1/f signal.

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Article Synopsis
  • Social dysfunction is a common feature of neuropsychiatric disorders like Schizophrenia and Alzheimer's disease, impacting socioaffective neural processing.
  • A study analyzed how social dysfunction correlates with brain system activity in SZ and AD patients through fMRI tasks, revealing patterns related to emotional responses.
  • The research found that severe behavioral social dysfunction linked to hyperactivity and hypoactivity in specific brain regions, highlighting the potential for tailored care based on individual social behavior.
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The current neuropsychiatric nosological categories underlie pragmatic treatment choice, regulation and clinical research but does not encompass biological rationale. However, subgroups of patients suffering from schizophrenia or Alzheimer's disease have more in common than the neuropsychiatric nature of their condition, such as the expression of social dysfunction. The PRISM project presents here initial quantitative biological insights allowing the first steps toward a novel trans-diagnostic classification of psychiatric and neurological symptomatology intended to reinvigorate drug discovery in this area.

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The Innovative Medicines Initiative (IMI), was a European public-private partnership (PPP) undertaking intended to improve the drug development process, facilitate biomarker development, accelerate clinical trial timelines, improve success rates, and generally increase the competitiveness of European pharmaceutical sector research. Through the IMI, pharmaceutical research interests and the research agenda of the EU are supported by academic partnership and financed by both the pharmaceutical companies and public funds. Since its inception, the IMI has funded dozens of research partnerships focused on solving the core problems that have consistently obstructed the translation of research into clinical success.

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Article Synopsis
  • The study focuses on how older adults (ages 40-54) used dating apps during the UK lockdown (Dec 2020 - May 2021) amid the COVID-19 pandemic, an area less explored in existing research.
  • Key themes identified include the moral complexities around dating during a pandemic, the role of self-surveillance and moral signaling, and the impact of loneliness and social isolation.
  • Findings suggest that dating apps served as a means to alleviate loneliness, with some users rationalizing risky behaviors in pursuit of intimacy.
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Rationale: Dopamine (DA) signaling through the D1 receptor has been shown to be integral to multiple aspects of cognition, including the core process of working memory. The discovery of positive allosteric modulators (PAMs) of the D1 receptor has enabled treatment modalities that may have alternative benefits to orthosteric D1 agonists arising from a synergism of action with functional D1 receptor signaling.

Objectives: To investigate this potential, we have studied the effects of the novel D1 PAM DPTQ on a spatial delayed response working memory task in the rhesus monkey.

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Background: The COVID-19 pandemic brought digital practices and engagement to the forefront of society, which were based on behavioral changes associated with adhering to different government mandates. Further behavioral changes included transitioning from working in the office to working from home, with the use of various social media and communication platforms to maintain a level of social connectedness, especially given that many people who were living in different types of communities, such as rural, urban, and city spaces, were socially isolated from friends, family members, and community groups. Although there is a growing body of research exploring how technology is being used by people, there is limited information and insight about the digital practices employed across different age cohorts living in different physical spaces and residing in different countries.

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Few studies have examined social media and technology use during the COVID-19 pandemic in Canada. Therefore, the main research question and objective of this study was to examine similarities and differences in the influences of mobile technology and social media use on Canadians among different age groups and across gender during the COVID-19 pandemic. From June through October 2021, 204 persons completed a 72-item online survey.

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This article explores the experiences of young adults with a life-shortening condition in the first wave of the Coronavirus (COVID-19) pandemic in the UK. It presents the findings from an inclusive qualitative research study using constructivist grounded theory which aimed to examine the unintended consequences of pandemic control measures (lockdown and 'shielding') on this population. Purposive and theoretical sampling methods were used to recruit young adults with a life-shortening condition, employing a range of recruitment methods such as social media, advertising in newsletters and snowballing.

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Article Synopsis
  • Young people with 22q11.2 Deletion Syndrome (22q11.2DS) are at a higher risk for various mental health conditions, including schizophrenia and ADHD, and also experience sleep problems, prompting this study to explore how sleep might reflect neural disruptions linked to these conditions.
  • The research involved analyzing sleep patterns and brain activity through high-density EEG in 28 individuals with 22q11.2DS and 17 unaffected siblings, revealing significant differences in sleep architecture and EEG characteristics between the two groups.
  • Findings indicated that altered sleep EEG in 22q11.2DS was associated with psychiatric symptoms and may indicate disrupted neurodevelopment, suggesting that these sleep patterns could serve as indicators for understanding underlying neurobiological
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The COVID-19 pandemic produced unprecedented adoption and deployment of technology in rural and northern areas; however, this expansion widened the digital divide for many. Evidence shows that older adults' use of technology has increased. Coupled with an increasing number of available technologies to enhance healthcare delivery, social engagement, meaningful activities, and support to carers, we are at a crossroads for change.

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Background: Emotion recognition constitutes a pivotal process of social cognition. It involves decoding social cues (e.g.

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The Department of Veterans Affairs has invested significant time and resources into the treatment of posttraumatic stress disorder (PTSD). Despite concerted efforts, a significant portion of patients do not respond optimally to trauma-focused treatment. One of the factors that has been hypothesized to be associated with treatment response is participation in the Veterans Benefits Administration service-connected disability process.

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The Aging and Technology special issue showcases twelve papers spanning a range and diversity of international scholarly research within the field of ageing and technology. The collection of papers demonstrates the positive impact technology can have on the lives of older people including improving cognitive performance, physical and mental health and people's daily activities and practices. There are still barriers to use, including psychological issues of motivation, attitudes, privacy and trust and social issues involving learning to use the technology.

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Article Synopsis
  • The study investigates the link between social dysfunction and the Default Mode Network (DMN), which is important in neuropsychiatric disorders, focusing on patients with schizophrenia and Alzheimer’s alongside healthy controls.
  • Using fMRI data, the research found that measures of social dysfunction (via specific scales) were associated with reduced DMN connectivity, particularly in certain brain regions.
  • The results suggest that changes in DMN connectivity could serve as potential biomarkers for social dysfunction across various mental health disorders, which may help in developing personalized treatment strategies.
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The rs1344706 polymorphism in ZNF804A is robustly associated with schizophrenia and schizophrenia is, in turn, associated with abnormal non-rapid eye movement (NREM) sleep neurophysiology. To examine whether rs1344706 is associated with intermediate neurophysiological traits in the absence of disease, we assessed the relationship between genotype, sleep neurophysiology, and sleep-dependent memory consolidation in healthy participants. We recruited healthy adult males with no history of psychiatric disorder from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort.

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The NIH Virtual SARS-CoV-2 Antiviral Summit, held on 6 November 2020, was organized to provide an overview on the status and challenges in developing antiviral therapeutics for coronavirus disease 2019 (COVID-19), including combinations of antivirals. Scientific experts from the public and private sectors convened virtually during a live videocast to discuss severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) targets for drug discovery as well as the preclinical tools needed to develop and evaluate effective small-molecule antivirals. The goals of the Summit were to review the current state of the science, identify unmet research needs, share insights and lessons learned from treating other infectious diseases, identify opportunities for public-private partnerships, and assist the research community in designing and developing antiviral therapeutics.

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