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Institution

City University London

EducationLondon, United Kingdom
About: City University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 5735 authors who have published 17285 publications receiving 453290 citations.


Papers
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Journal ArticleDOI
TL;DR: The finding that activity in the human motor system is modulated dynamically when observing actions can explain why studies of action observation using functional magnetic resonance imaging have reported conflicting results, and is consistent with the hypothesis that the authors motorically simulate observed actions.
Abstract: Previous studies have demonstrated that when we observe somebody else executing an action many areas of our own motor systems are active. It has been argued that these motor activations are evidence that we motorically simulate observed actions; this motoric simulation may support various functions such as imitation and action understanding. However, whether motoric simulation is indeed the function of motor activations during action observation is controversial, due to inconsistency in findings. Previous studies have demonstrated dynamic modulations in motor activity when we execute actions. Therefore, if we do motorically simulate observed actions, our motor systems should also be modulated dynamically, and in a corresponding fashion, during action observation. Using magnetoencephalography, we recorded the cortical activity of human participants while they observed actions performed by another person. Here, we show that activity in the human motor system is indeed modulated dynamically during action observation. The finding that activity in the motor system is modulated dynamically when observing actions can explain why studies of action observation using functional magnetic resonance imaging have reported conflicting results, and is consistent with the hypothesis that we motorically simulate observed actions.

109 citations

Journal ArticleDOI
Yash Patel1, Nadine Parker1, Jean Shin1, Derek Howard1  +300 moreInstitutions (100)
TL;DR: In this article, the authors used T1-weighted magnetic resonance images to determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia.
Abstract: Importance Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood. Objective To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia. Design, Setting, and Participants Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244. Main Outcomes and Measures Interregional profiles of group difference in cortical thickness between cases and controls. Results A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders. Conclusions and Relevance In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.

108 citations

Journal ArticleDOI
TL;DR: In this article, the authors studied the effects of mobile money on entrepreneurship and economic development in a quantitative dynamic general equilibrium model and showed that entrepreneurs with higher productivity and access to trade credit are more likely to adopt mobile money as a payment instrument vis-a-vis suppliers.

108 citations

Journal ArticleDOI
TL;DR: It is demonstrated, by partial example, that the information provision mechanism fulfills the requirements of this approach, and that this approach appears able to provide a means for analysis and design of information provision mechanisms which retains the level of complexity necessary for the sorts of mecha nisms the authors' assumptions imply.
Abstract: We discuss the functional analysis and design of a general information provision mechanism. Our basic assumptions are that information provision mechanisms are best considered as a part of a problem management system which includes user, mechanism and knowledge resource, that such mechanisms must necessarily be multi-functional, and that they will include both human and machine components. By analyzing how such a mechanism must operate in order to help the user to treat her/his problem, we identify a number of discrete functions which interact in complex ways. This leads us to discuss a particular approach to the modelling and design of problem treatment situations, distributed problem treatment. This ap proach assumes that problem treatment can be broken down into a number of separate entitites, each of which makes hypotheses about its particular area of responsibility, and com municates these results to the other entities of the mechanism. We demonstrate, by partial example, that the information provisi...

108 citations

Journal ArticleDOI
TL;DR: In study samples, the Insulin Treatment Satisfaction Questionnaire appeared to be conceptually and psychometrically sound and applicable to a wide range of insulin therapies.

108 citations


Authors

Showing all 5822 results

NameH-indexPapersCitations
Andrew M. Jones10376437253
F. Rauscher10060536066
Thorsten Beck9937362708
Richard J. K. Taylor91154343893
Christopher N. Bowman9063938457
G. David Batty8845123826
Xin Zhang87171440102
Richard J. Cook8457128943
Hugh Willmott8231026758
Scott Reeves8244127470
Sarah-Jayne Blakemore8121129660
Mats Alvesson7826738248
W. John Edmunds7525224018
Sheng Chen7168827847
Christopher J. Taylor7141530948
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022188
20211,030
20201,011
2019939
2018879