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  1. Article ; Online: More must be done to reduce cardiovascular risk for patients on antipsychotic medications.

    Osimo, Emanuele F / Perry, Benjamin I / Murray, Graham K

    International clinical psychopharmacology

    2023  Volume 38, Issue 3, Page(s) 179–181

    MeSH term(s) Humans ; Antipsychotic Agents/adverse effects ; Cardiovascular Diseases/prevention & control ; Cardiovascular Diseases/drug therapy ; Risk Factors ; Heart Disease Risk Factors ; Patients
    Chemical Substances Antipsychotic Agents
    Language English
    Publishing date 2023-03-06
    Publishing country England
    Document type Journal Article ; Comment
    ZDB-ID 632837-4
    ISSN 1473-5857 ; 0268-1315
    ISSN (online) 1473-5857
    ISSN 0268-1315
    DOI 10.1097/YIC.0000000000000464
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Epidermoid Metaplasia of the Esophagus.

    Kamboj, Amrit K / Graham, Rondell P / Murray, Joseph A

    Mayo Clinic proceedings

    2020  Volume 95, Issue 8, Page(s) 1796

    MeSH term(s) Aged ; Biopsy ; Esophagoscopy ; Esophagus/pathology ; Humans ; Male ; Metaplasia ; Radiofrequency Ablation
    Language English
    Publishing date 2020-08-04
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 124027-4
    ISSN 1942-5546 ; 0025-6196
    ISSN (online) 1942-5546
    ISSN 0025-6196
    DOI 10.1016/j.mayocp.2020.04.041
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Efficacy of dual intracerebroventricular and intravitreal

    Murray, Samantha J / Wellby, Martin P / Barrell, Graham K / Russell, Katharina N / Deane, Ashley R / Wynyard, John R / Gray, Steven J / Palmer, David N / Mitchell, Nadia L

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1212235

    Abstract: Mutations in ... ...

    Abstract Mutations in the
    Language English
    Publishing date 2023-10-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1212235
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Corrigendum: The effect of antipsychotics on glutamate levels in the anterior cingulate cortex and clinical response: a

    Zahid, Uzma / McCutcheon, Robert A / Borgan, Faith / Jauhar, Sameer / Pepper, Fiona / Nour, Matthew M / Rogdaki, Maria / Osugo, Martin / Murray, Graham K / Hathway, Pamela / Murray, Robin M / Egerton, Alice / Howes, Oliver D

    Frontiers in psychiatry

    2024  Volume 15, Page(s) 1292075

    Abstract: This corrects the article DOI: 10.3389/fpsyt.2022.967941.]. ...

    Abstract [This corrects the article DOI: 10.3389/fpsyt.2022.967941.].
    Language English
    Publishing date 2024-03-01
    Publishing country Switzerland
    Document type Published Erratum
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2024.1292075
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Corrigendum to: Systemic sclerosis-related digital ulcers; a pilot study of cutaneous oxygenation and perfusion.

    Marjanovic, Elizabeth / Moore, Tonia L / Manning, Joanne B / Dinsdale, Graham / Wilkinson, Sarah / Dickinson, Mark R / Herrick, Ariane L / Murray, Andrea K

    Rheumatology (Oxford, England)

    2023  Volume 60, Issue 5, Page(s) 2490

    Language English
    Publishing date 2023-04-11
    Publishing country England
    Document type Published Erratum
    ZDB-ID 1464822-2
    ISSN 1462-0332 ; 1462-0324
    ISSN (online) 1462-0332
    ISSN 1462-0324
    DOI 10.1093/rheumatology/keaa681
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis.

    Jimenez-Mesa, Carmen / Ramirez, Javier / Yi, Zhenghui / Yan, Chao / Chan, Raymond / Murray, Graham K / Gorriz, Juan Manuel / Suckling, John

    Human brain mapping

    2024  Volume 45, Issue 5, Page(s) e26555

    Abstract: Novel features derived from imaging and artificial intelligence systems are commonly coupled to construct computer-aided diagnosis (CAD) systems that are intended as clinical support tools or for investigation of complex biological patterns. This study ... ...

    Abstract Novel features derived from imaging and artificial intelligence systems are commonly coupled to construct computer-aided diagnosis (CAD) systems that are intended as clinical support tools or for investigation of complex biological patterns. This study used sulcal patterns from structural images of the brain as the basis for classifying patients with schizophrenia from unaffected controls. Statistical, machine learning and deep learning techniques were sequentially applied as a demonstration of how a CAD system might be comprehensively evaluated in the absence of prior empirical work or extant literature to guide development, and the availability of only small sample datasets. Sulcal features of the entire cerebral cortex were derived from 58 schizophrenia patients and 56 healthy controls. No similar CAD systems has been reported that uses sulcal features from the entire cortex. We considered all the stages in a CAD system workflow: preprocessing, feature selection and extraction, and classification. The explainable AI techniques Local Interpretable Model-agnostic Explanations and SHapley Additive exPlanations were applied to detect the relevance of features to classification. At each stage, alternatives were compared in terms of their performance in the context of a small sample. Differentiating sulcal patterns were located in temporal and precentral areas, as well as the collateral fissure. We also verified the benefits of applying dimensionality reduction techniques and validation methods, such as resubstitution with upper bound correction, to optimize performance.
    MeSH term(s) Humans ; Artificial Intelligence ; Schizophrenia/diagnostic imaging ; Neuroimaging ; Machine Learning ; Diagnosis, Computer-Assisted
    Language English
    Publishing date 2024-03-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1197207-5
    ISSN 1097-0193 ; 1065-9471
    ISSN (online) 1097-0193
    ISSN 1065-9471
    DOI 10.1002/hbm.26555
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Neural Circuitry of Salience and Reward Processing in Psychosis.

    Kesby, James P / Murray, Graham K / Knolle, Franziska

    Biological psychiatry global open science

    2021  Volume 3, Issue 1, Page(s) 33–46

    Abstract: The processing of salient and rewarding stimuli is integral to engaging our attention, stimulating anticipation for future events, and driving goal-directed behaviors. Widespread impairments in these processes are observed in psychosis, which may be ... ...

    Abstract The processing of salient and rewarding stimuli is integral to engaging our attention, stimulating anticipation for future events, and driving goal-directed behaviors. Widespread impairments in these processes are observed in psychosis, which may be associated with worse functional outcomes or mechanistically linked to the development of symptoms. Here, we summarize the current knowledge of behavioral and functional neuroimaging in salience, prediction error, and reward. Although each is a specific process, they are situated in multiple feedback and feedforward systems integral to decision making and cognition more generally. We argue that the origin of salience and reward processing dysfunctions may be centered in the subcortex during the earliest stages of psychosis, with cortical abnormalities being initially more spared but becoming more prominent in established psychotic illness/schizophrenia. The neural circuits underpinning salience and reward processing may provide targets for delaying or preventing progressive behavioral and neurobiological decline.
    Language English
    Publishing date 2021-12-11
    Publishing country United States
    Document type Journal Article ; Review
    ISSN 2667-1743
    ISSN (online) 2667-1743
    DOI 10.1016/j.bpsgos.2021.12.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Long-term safety and dose escalation of intracerebroventricular CLN5 gene therapy in sheep supports clinical translation for CLN5 Batten disease.

    Mitchell, Nadia L / Murray, Samantha J / Wellby, Martin P / Barrell, Graham K / Russell, Katharina N / Deane, Ashley R / Wynyard, John R / Palmer, Madeleine J / Pulickan, Anila / Prendergast, Phillipa M / Casy, Widler / Gray, Steven J / Palmer, David N

    Frontiers in genetics

    2023  Volume 14, Page(s) 1212228

    Abstract: CLN5 neuronal ceroid lipofuscinosis (NCL, Batten disease) is a rare, inherited fatal neurodegenerative disorder caused by mutations in ... ...

    Abstract CLN5 neuronal ceroid lipofuscinosis (NCL, Batten disease) is a rare, inherited fatal neurodegenerative disorder caused by mutations in the
    Language English
    Publishing date 2023-08-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1212228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The impact of the COVID-19 pandemic on mental health in the general population: a comparison between Germany and the UK.

    Knolle, Franziska / Ronan, Lisa / Murray, Graham K

    BMC psychology

    2021  Volume 9, Issue 1, Page(s) 60

    Abstract: Background: The COVID-19 pandemic has led to dramatic social and economic changes in daily life. First studies report an impact on mental health of the general population showing increased levels of anxiety, stress and depression. In this study, we ... ...

    Abstract Background: The COVID-19 pandemic has led to dramatic social and economic changes in daily life. First studies report an impact on mental health of the general population showing increased levels of anxiety, stress and depression. In this study, we compared the impact of the pandemic on two culturally and economically similar European countries: the UK and Germany.
    Methods: Participants (UK = 241, German = 541) completed an online-survey assessing COVID-19 exposure, impact on financial situation and work, substance and media consumption, mental health using the Symptom-Check-List-27 (SCL-27) and the Schizotypal Personality Questionnaire.
    Results: We found distinct differences between the two countries. UK responders reported a stronger direct impact on health, financial situation and families. UK responders had higher clinical scores on the SCL-27, and higher prevalence. Interestingly, German responders were less hopeful for an end of the pandemic and more concerned about their life-stability.
    Conclusion: As 25% of both German and UK responders reported a subjective worsening of the general psychological symptoms and 20-50% of German and UK responders reached the clinical cut-off for depressive and dysthymic symptoms as well as anxieties, it specifically shows the need for tailored intervention systems to support large proportions of the general public.
    MeSH term(s) Anxiety/epidemiology ; COVID-19 ; Depression/epidemiology ; Germany/epidemiology ; Humans ; Mental Health ; Pandemics ; SARS-CoV-2 ; United Kingdom/epidemiology
    Language English
    Publishing date 2021-04-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 2705921-2
    ISSN 2050-7283 ; 2050-7283
    ISSN (online) 2050-7283
    ISSN 2050-7283
    DOI 10.1186/s40359-021-00565-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Reversal learning in those with early psychosis features contingency-dependent changes in loss response and learning.

    Baker, Andrea / Suetani, Shuichi / Cosgrove, Peter / Siskind, Dan / Murray, Graham K / Scott, James G / Kesby, James P

    Cognitive neuropsychiatry

    2023  Volume 28, Issue 5, Page(s) 342–360

    Abstract: Introduction: People with psychotic disorders commonly feature broad decision-making impairments that impact their functional outcomes. Specific associative/reinforcement learning problems have been demonstrated in persistent psychosis. But these ... ...

    Abstract Introduction: People with psychotic disorders commonly feature broad decision-making impairments that impact their functional outcomes. Specific associative/reinforcement learning problems have been demonstrated in persistent psychosis. But these phenotypes may differ in early psychosis, suggesting that aspects of cognition decline over time.
    Methods: The present proof-of-concept study examined goal-directed action and reversal learning in controls and those with early psychosis.
    Results: Equivalent performance was observed between groups during outcome-specific devaluation, and reversal learning at an 80:20 contingency (reward probability for high:low targets). But when the low target reward probability was increased (80:40) those with early psychosis altered their response to loss, whereas controls did not. Computational modelling confirmed that in early psychosis there was a change in punishment learning that increased the chance of staying with the same stimulus after a loss, multiple trials into the future. In early psychosis, the magnitude of this response was greatest in those with higher IQ and lower clinical severity scores.
    Conclusions: We show preliminary evidence that those with early psychosis present with a phenotype that includes altered responding to loss and hyper-adaptability in response to outcome changes. This may reflect a compensatory response to overcome the milieu of corticostriatal changes associated with psychotic disorders.
    MeSH term(s) Humans ; Reversal Learning/physiology ; Psychotic Disorders ; Reinforcement, Psychology ; Reward ; Motivation
    Language English
    Publishing date 2023-11-05
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1324282-9
    ISSN 1464-0619 ; 1354-6805
    ISSN (online) 1464-0619
    ISSN 1354-6805
    DOI 10.1080/13546805.2023.2259019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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