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Latent inhibition and its potential as a biomarker for schizophrenia

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Postoperative cognitive dysfunction: an acute approach for the development of novel treatments for neuroinflammation

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Pre-surgical memory impairment is associated with risk of postoperative cognitive dysfunction in a large geriatric cohort

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The impact of digital biomarkers and clinical research

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A new era for schizophrenia drug development – Lessons for the future

Here we discuss challenges and opportunities highlighted by recent successes in drug development in schizophrenia, particularly the benefits of patient stratification to define patient subgroups most likely to respond to treatment.

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Post-Covid-19 cognitive impairment: a new target for drug development?

Dr Paula Moran, Dr Kiri Granger, Dr J Mark Treherne, and Dr Jenny Barnett explore the effects of long Covid-19 symptoms and what the opportunities are for drug developers working to treat post-Covid-19 cognitive impairment.

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Measuring functional outcomes in schizophrenia in an increasingly digital world

This review aims to give an overview of the different types of functional assessments commonly used in clinical trials and research involving patients with schizophrenia and highlight pertinent challenges surrounding the use of these as reliable, sensitive, and specific assessments in intervention trials.

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Latent inhibition, aberrant salience, and schizotypy traits in cannabis users

Here we investigate the relative effects of cannabis use, schizotypy status, and self-reported aberrant salience experiences on salience processing, measured using a latent inhibition (LI) task (Granger et al., 2016), in a non-clinical population.

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Disruption of overshadowing and latent inhibition in high schizotypy individuals

Here we investigated the relationship between selective attention and schizotypy, by comparing participants’ performance in two models: overshadowing and latent inhibition.

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Enhanced latent inhibition in high schizotypy individuals

Here two within-participant experiments are reported that explore the relationship between schizotypy and latent inhibition without the confound of alternative learning phenomena.

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Emotional bias training as a treatment for anxiety and depression: evidence from experimental medicine studies in healthy and medicated samples

Anxiety and depression are leading causes of disability worldwide, yet individuals are often unable to access appropriate treatment. There is a need to develop effective interventions that can be delivered remotely. Previous research has suggested that emotional processing biases are a potential target for intervention, and these may be altered through brief training programs.

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Social cognitive dysfunction as a clinical marker: A systematic review of meta-analyses across 30 clinical conditions

We identified 31 meta-analyses that examined performance across relevant tasks among 30 different clinical populations. The results suggest that social cognitive deficits appear to be a core cognitive phenotype of many clinical conditions.

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Using Affective Cognition to Enhance Precision Psychiatry

Major depressive disorder affects hundreds of millions of people, is among the leading causes of disability worldwide. While a range of effective drugs are available, the majority of patients do not achieve symptomatic remission. Precision psychiatry offers a range of exciting possibilities for optimizing effective prevention, diagnosis, and treatment of psychiatric disorders.

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The Paired Associates Learning (PAL) Test: 30 Years of CANTAB Translational Neuroscience from Laboratory to Bedside in Dementia Research

The origins and rationale of the Cambridge Neuropsychological Test Automated Battery (CANTAB) as a cross-species translational instrument suitable for use in human neuropsychopharmacological studies are reviewed.

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Assessing cognitive function in clinical trials of schizophrenia

Cognitive dysfunction in schizophrenia is an important target for novel therapies. Computerised cognitive assessment may optimise the statistical power of cognitive trials by reducing measurement error and between-site variability and decreasing patient attrition through increased tolerability.

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The Use of Cognitive Screening in Pharmacotherapy Trials for Cognitive Impairment Associated With Schizophrenia

The Use of Cognitive Screening in Pharmacotherapy Trials for Cognitive Impairment Associated With Schizophrenia

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Effects of 7.5% Carbon Dioxide and Nicotine Administration on Latent Inhibition

Here, two complementary experimental studies suggest latent inhibition is modified by manipulations that are relevant to the detection and treatment of schizophrenia. These results suggest that this latent inhibition task merits further investigation in the context of neurobiological sub-groups suitable for novel treatment strategies.

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Postoperative cognitive dysfunction: an acute approach for the development of novel treatments for neuroinflammation

Here we discuss the use of postoperative cognitive decline (POCD), which is hypothesised to have a neuroinflammatory basis, as an acute indication to demonstrate the efficacy of novel neuroinflammatory drugs.

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Latent inhibition and its potential as a biomarker for schizophrenia

Here we provide a brief review of the history behind latent inhibition and the limitations of existing human paradigms, before discussing a more recent latent inhibition task modification and its potential as a biomarker for schizophrenia.

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The rise of digital biomarkers in neuroscience drug development

Will an expansion in the use of effective digital biomarkers help improve the productivity of drug development in neuroscience? Ask Dr J. Mark Treherne, Dr Jenny Barnett and Dr Paula Moran.

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Pre-surgical memory impairment is associated with risk of postoperative cognitive dysfunction in a large geriatric cohort

Read more

The impact of digital biomarkers and clinical research

Read more

A new era for schizophrenia drug development – Lessons for the future

Here we discuss challenges and opportunities highlighted by recent successes in drug development in schizophrenia, particularly the benefits of patient stratification to define patient subgroups most likely to respond to treatment.

Read more
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