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Dysregulation of mesolimbic dopamine transmission is implicated in a number of psychiatric illnesses characterised by disruption of reward processing and goal-directed behaviour, including schizophrenia, drug addiction and impulse control disorders associated with chronic use of dopamine agonists. Amphetamine sensitization (AS) has been proposed to model the development of this aberrant dopamine signalling and the subsequent dysregulation of incentive motivational processes. However, in humans the effects of AS on the dopamine-sensitive neural circuitry associated with reward processing remains unclear. Here we describe the effects of acute amphetamine administration, following a sensitising dosage regime, on blood oxygen level dependent (BOLD) signal in dopaminoceptive brain regions during a rewarded gambling task performed by healthy volunteers. Using a randomised, double-blind, parallel-groups design, we found clear evidence for sensitization to the subjective effects of the drug, while rewarded reaction times were unchanged. Repeated amphetamine exposure was associated with reduced dorsal striatal BOLD signal during decision making, but enhanced ventromedial caudate activity during reward anticipation. The amygdala BOLD response to reward outcomes was blunted following repeated amphetamine exposure. Positive correlations between subjective sensitization and changes in anticipation- and outcome-related BOLD signal were seen for the caudate nucleus and amygdala, respectively. These data show for the first time in humans that AS changes the functional impact of acute stimulant exposure on the processing of reward-related information within dopaminoceptive regions. Our findings accord with pathophysiological models which implicate aberrant dopaminergic modulation of striatal and amygdala activity in psychosis and drug-related compulsive disorders.

Introduction Traditionally, studies investigating the functional implications of age-related structural brain alterations have focused on higher cognitive processes; by increasing stimulus load, these studies assess behavioral and neurophysiological performance. In order to understand age-related changes in these higher cognitive processes, it is crucial to examine changes in visual and auditory processes that are the gateways to higher cognitive functions. This study provides evidence for age-related functional decline in visual and auditory processing, and regional alterations in functional brain processing, using non-invasive neuroimaging. Methods Using functional magnetic resonance imaging (fMRI), younger (n = 11; mean age = 31) and older (n = 10; mean age = 68) adults were imaged while observing flashing checkerboard images (passive visual stimuli) and hearing word lists (passive auditory stimuli) across varying stimuli presentation rates. Results Younger adults showed greater overall levels of temporal and occipital cortical activation than older adults for both auditory and visual stimuli. The relative change in activity as a function of stimulus presentation rate showed differences between young and older participants. In visual cortex, the older group showed a decrease in fMRI blood oxygen level dependent (BOLD) signal magnitude as stimulus frequency increased, whereas the younger group showed a linear increase. In auditory cortex, the younger group showed a relative increase as a function of word presentation rate, while older participants showed a relatively stable magnitude of fMRI BOLD response across all rates. When analyzing participants across all ages, only the auditory cortical activation showed a continuous, monotonically decreasing BOLD signal magnitude as a function of age. Conclusions Our preliminary findings show an age-related decline in demand-related, passive early sensory processing. As stimulus demand increases, visual and auditory cortex do not show increases in activity in older compared to younger people. This may negatively impact on the fidelity of information available to higher cognitive processing. Such evidence may inform future studies focused on cognitive decline in aging.

Psychosis is characterized by an elementary lack of trust in others. Trust is an inherently rewarding aspect of successful social interactions and can be examined using neuroeconomic paradigms. This study was aimed at investigating the underlying neural basis of diminished trust in psychosis. Functional magnetic resonance imaging data were acquired from 20 patients with psychosis and 20 healthy control subjects during two multiple-round trust games; one with a cooperative and the other with a deceptive counterpart. An a priori region of interest analysis of the right caudate nucleus, right temporo-parietal junction and medial prefrontal cortex was performed focusing on the repayment phase of the games. For regions with group differences, correlations were calculated between the haemodynamic signal change, behavioural outcomes and patients' symptoms. Patients demonstrated reduced levels of baseline trust, indicated by smaller initial investments. For the caudate nucleus, there was a significant game × group interaction, with controls showing stronger activation for the cooperative game than patients, and no differences for the deceptive game. The temporo-parietal junction was significantly more activated in control subjects than in patients during cooperative and deceptive repayments. There were no significant group differences for the medial prefrontal cortex. Patients' reduced activation within the caudate nucleus correlated negatively with paranoia scores. The temporo-parietal junction signal was positively correlated with positive symptom scores during deceptive repayments. Reduced sensitivity to social reward may explain the basic loss of trust in psychosis, mediated by aberrant activation of the caudate nucleus and the temporo-parietal junction. © 2013 The Author.

The development of drugs to improve cognition in patients with schizophrenia is a major unmet clinical need. A number of promising compounds failed in recent clinical trials, a pattern linked to poor translation between preclinical and clinical stages of drug development. Seeking proof of efficacy in early Phase 1 studies in surrogate patient populations (for example, high schizotypy individuals where subtle cognitive impairment is present) has been suggested as a strategy to reduce attrition in the later stages of drug development. However, there is little agreement regarding the pattern of distribution of schizotypal features in the general population, creating uncertainty regarding the optimal control group that should be included in prospective trials. We aimed to address this question by comparing the performance of groups derived from the general population with low, average and high schizotypy scores over a range of cognitive and oculomotor tasks. We found that tasks dependent on frontal inhibitory mechanisms (N-Back working memory and anti-saccade oculomotor tasks), as well as a smooth-pursuit oculomotor task were sensitive to differences in the schizotypy phenotype. In these tasks the cognitive performance of ‘low schizotypes’ was significantly different from ‘high schizotypes’ with ‘average schizotypes’ having an intermediate performance. These results indicate that for evaluating putative cognition enhancers for treating schizophrenia in early-drug development studies the maximum schizotypy effect would be achieved using a design that compares low and high schizotypes.

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder characterised by a persistent, pervasive pattern of inattention, impulsivity and hyperactivity. Stimulant medication such as methylphenidate has an established evidence base in the treatment of children and adolescents with ADHD. However, it is also associated with a risk of side effects which may include decreased appetite, increased blood pressure and possible reduced growth. Monitoring physical health in children and adolescents prescribed medication for ADHD is a key clinical responsibility and includes a number of parameters as outlined in the National Institute for Health and Care Excellence Guidelines. Ascertaining the centiles of physical observations is essential to put these into developmental context and accurately inform treatment decisions. This quality improvement project aimed to improve physical health monitoring in children and adolescents prescribed stimulant medication for ADHD within a large specialist urban inner-city Child and Adolescent Mental Health Service (CAMHS) in South London and Maudsley NHS Foundation Trust. Baseline data were obtained to establish the quality of physical monitoring including blood pressure, height, weight and centiles. Targeted interventions included the development of a novel web-based application designed to calculate and record centiles. We report an improvement in total proportion compliance with physical health monitoring from 24% to 75%. The frequency of recording baseline blood pressure centiles increased from 0% to 62%; recording baseline height centiles increased from 37% to 81% and recording baseline weight centiles increased from 37% to 81%. Improvement in the delivery of high-quality care was achieved and sustained through close collaboration with clinicians involved in the treatment pathway in order to elicit and respond effectively to feedback for improvement and codevelop interventions which were highly effective within the clinical system. We believe this model to be replicable in other CAMHS services and ADHD clinics to improve the delivery of high-quality clinical care.

Spatial language descriptions, such as The bottle is over the glass, direct the attention of the hearer to particular aspects of the visual world. This paper asks how they do so, and what brain mechanisms underlie this process. In two experiments employing behavioural and eye tracking methodologies we examined the effects of spatial language on people's judgements and parsing of a visual scene. The results underscore previous claims regarding the importance of object function in spatial language, but also show how spatial language differentially directs attention during examination of a visual scene. We discuss implications for existing models of spatial language, with associated brain mechanisms.

Background Auditory verbal hallucinations (AVH) are the most prevalent symptom in schizophrenia. They are associated with increased activation within the temporoparietal cortices and are refractory to pharmacological and psychological treatment in approximately 25% of patients. Low frequency repetitive transcranial magnetic stimulation (rTMS) over the temporoparietal cortex has been demonstrated to be effective in reducing AVH in some patients, although results have varied. The cortical mechanism by which rTMS exerts its effects remain unknown, although data from the motor system is suggestive of a local cortical inhibitory effect. We explored neuroimaging differences in healthy volunteers between application of a clinically utilized rTMS protocol and a sham rTMS equivalent when undertaking a prosodic auditory task. Method Single-blind placebo controlled fMRI study of 24 healthy volunteers undertaking an auditory temporoparietal activation task, who received either right temporoparietal rTMS or sham RTMS. Results The main effect of group was bilateral inferior parietal deactivation following real rTMS. An interaction of group and task type showed deactivation during real rTMS in the right superior temporal gyrus (STG), left thalamus, left postcentral gyrus and cerebellum. However, the left parietal lobe showed an increase in activation following right sided real rTMS, but this increase was specific to a non-linguistic, tone-sequence task. Conclusion rTMS does cause local inhibitory effects, not only in the underlying region of application, but also in functionally connected cortical regions. However, there is also a related, task dependent, increase in activation within selected cortical areas in the contralateral hemisphere; these are likely to reflect compensatory mechanisms, and such cortical activation may in some cases contribute to, or retard, some of the therapeutic effects seen with rTMS.

The prevalence of treatment-resistant schizophrenia points to a discrete illness subtype, but to date its pathophysiologic characteristics are undetermined. Information transfer from ventral to dorsal striatum depends on both striato-cortico-striatal and striato-nigro-striatal subcircuits, yet although the functional integrity of the former appears to track improvement of positive symptoms of schizophrenia, the latter have received little experimental attention in relation to the illness. Here, in a sample of individuals with schizophrenia stratified by treatment resistance and matched controls, functional pathways involving four foci along the striatal axis were assessed to test the hypothesis that treatment-resistant and non-refractory patients would exhibit contrasting patterns of resting striatal connectivity. Compared with non-refractory patients, treatment-resistant individuals exhibited reduced connectivity between ventral striatum and substantia nigra. Furthermore, disturbance to corticostriatal connectivity was more pervasive in treatment-resistant individuals. The occurrence of a more distributed pattern of abnormality may contribute to the failure of medication to treat symptoms in these individuals. This work strongly supports the notion of pathophysiologic divergence between individuals with schizophrenia classified by treatment-resistance criteria.

The use of clustering in various applications is key to its popularity in data analysis and data mining. Algorithms used for optimisation can be extended to perform clustering on a dataset. In this paper, a swarm intelligence technique — Stochastic Diffusion Search — is deployed for clustering purposes. This algorithm has been used in the past as a multi-agent global search and optimisation technique. In the context of this paper, the algorithm is applied to a clustering problem, tested on the classical Iris dataset and its performance is contrasted against nine other clustering techniques. The outcome of the comparison highlights the promising and competitive performance of the proposed method in terms of the quality of the solutions and its robustness in classification. This paper serves as a proof of principle of the novel applicability of this algorithm in the field of data clustering.

Background: Clozapine is the treatment of choice for medication refractory psychosis, but it does not benefit half of those put on it. There are numerous studies of potential post-clozapine strategies, but little data to guide the order of such treatment in this common clinical challenge. We describe a naturalistic observational study in 153 patients treated by a specialist psychosis service to identify optimal pharmacotherapy practice, based on outcomes. Methods: Medication and clinical data, based on the OPCRIT tool, were examined on admission and discharge from the national psychosis service. The primary outcome measure was the percentage change in mental state examination symptoms between admission and discharge and the association with medication on discharge. Exploratory analyses evaluated the specificity of individual medication effects on symptom clusters. Results: There were fewer drugs prescribed at discharge relative to admission, suggesting an optimisation of medication, and a doubling of the number of patients treated with clozapine. Treatment with clozapine on discharge was associated with maximal decrease in symptoms from admission. In the group of patients that did not respond to clozapine monotherapy, the most effective drug combinations were clozapine augmentation with 1) sodium valproate, 2) lithium, 3) amisulpride, and 4) quetiapine. There was no support for a dose-response relationship for any drug combination. Conclusions: Clozapine monotherapy is clearly the optimal medication in medication refractory schizophrenia and it is possible to maximise its use. In patients unresponsive to clozapine monotherapy, augmentation with sodium valproate, lithium, amisulpride and quetiapine, in that order, is a reasonable treatment algorithm. Reducing the number of ineffective drugs is possible without a detrimental effect on symptoms. Exploratory data indicated that clozapine was beneficial across a range of symptoms domains, whereas olanzapine was beneficial specifically for hallucinations and lamotrigine for comorbid affective symptoms.

It cannot have escaped our readers' notice that there has been a public increase in the awareness of the impact of dementia on people's lives: politicians have raised concerns about a dementia ‘time bomb’ as a greater number of people live to an older age; and even the 2013 G8 summit declared1 that there was a need for international initiatives to tackle this illness. The inevitable call for more research is underscored by the lack of any new licenced medications for Alzheimer's disease since 2002. There has been much interest in a putative role for statins – which inhibit the HMGCR enzyme, the rate-limiting step in cholesterol production – as retrospective epidemiological data have shown that they can reduce the risk of developing Alzheimer's disease by up to 70%; but, frustratingly, administration of these drugs to those with the illness appears to produce little benefit. Recent data have now shown that the gene encoding this HMGCR enzyme is a potent modifier for the age at onset and rate of conversion from mild cognitive impairment to Alzheimer's disease.2 Indeed, this work would indicate that its G-negative allele is second only to APOE2 as the most common and important protective genetic variant for spontaneous Alzheimer's disease.

Amphetamine sensitisation (AS) is an established animal model of the hypersensitivity to psychostimulants seen in patients with schizophrenia. AS also models the dysregulation of mesolimbic dopamine signalling which has been implicated in the development of psychotic symptoms. Recent data suggest that the enhanced excitability of mesolimbic dopamine neurons in AS is driven by a hyperactivity of hippocampal (subiculum) neurons, consistent with a strong association between hippocampal dysfunction and schizophrenia. While AS can be modelled in human volunteers, its functional consequences on dopaminoceptive brain regions (i.e. striatum and hippocampus) remains unclear. Here we describe the effects of a sensitising dosage pattern of dextroamphetamine on the neural correlates of motor sequence learning in healthy volunteers, within a randomised, double-blind, parallel-groups design. Behaviourally, sensitisation was characterised by enhanced subjective responses to amphetamine but did not change performance (i.e. learning rate) during an explicit sequence learning task. In contrast, functional magnetic resonance imaging (fMRI) measurements showed that repeated intermittent amphetamine exposure was associated with increased blood-oxygen-level dependent (BOLD) signal within the medial temporal lobe (MTL) (subiculum/entorhinal cortex) and midbrain, in the vicinity of the substantia nigra/ventral tegmental area (SN/VTA) during sequence encoding. Importantly, MTL hyperactivity correlated with the sensitisation of amphetamine-induced attentiveness. The MTL-midbrain hyperactivity reported here mirrors observations in sensitised rodents and is consistent with contemporary models of schizophrenia and behavioural sensitisation. These findings of meso-hippocampal hyperactivity during AS thus link pathophysiological concepts of dopamine dysregulation to cognitive models of psychosis.

Perceptions are inherently probabilistic; and can be potentially manipulated to induce illusory experience by the presentation of ambiguous or improbable evidence under selective (spatio-temporal) constraints. Accordingly, perception of the McGurk effect, by which individuals misperceive specific incongruent visual and auditory vocal cues, rests upon effective probabilistic inference. Here, we report findings from a behavioral investigation of illusory perception and related metacognitive evaluation during audiovisual integration, conducted in individuals with schizophrenia (n = 30) and control subjects (n = 24) matched in terms of age, sex, handedness and parental occupation. Controls additionally performed the task after an oral dose of amisulpride (400 mg). Individuals with schizophrenia were observed to exhibit illusory perception less frequently than controls, despite non-significant differences in perceptual performance during control conditions. Furthermore, older individuals with schizophrenia exhibited reduced rates of illusory perception. Subsequent analysis revealed a robust inverse relationship between illness chronicity and the illusory perception rate in this group. Controls demonstrated non-significant modulation of perception by amisulpride; amisulpride was, however, found to elicit increases in subjective confidence in perceptual performance. Overall, these findings are consistent with the idea that impairments in probabilistic inference are exhibited in schizophrenia and exacerbated by illness chronicity. The latter suggests that associated processes are a potentially worthwhile target for therapeutic intervention.

Importance Forward models predict the sensory consequences of planned actions and permit discrimination of self- and non–self-elicited sensation; their impairment in schizophrenia is implied by an abnormality in behavioral force-matching and the flawed agency judgments characteristic of positive symptoms, including auditory hallucinations and delusions of control. Objective To assess attenuation of sensory processing by self-action in individuals with schizophrenia and its relation to current symptom severity. Design, Setting, and Participants Functional magnetic resonance imaging data were acquired while medicated individuals with schizophrenia (n = 19) and matched controls (n = 19) performed a factorially designed sensorimotor task in which the occurrence and relative timing of action and sensation were manipulated. The study took place at the neuroimaging research unit at the Institute of Cognitive Neuroscience, University College London, and the Maudsley Hospital. Results In controls, a region of secondary somatosensory cortex exhibited attenuated activation when sensation and action were synchronous compared with when the former occurred after an unexpected delay or alone. By contrast, reduced attenuation was observed in the schizophrenia group, suggesting that these individuals were unable to predict the sensory consequences of their own actions. Furthermore, failure to attenuate secondary somatosensory cortex processing was predicted by current hallucinatory severity. Conclusions and Relevance Although comparably reduced attenuation has been reported in the verbal domain, this work implies that a more general physiologic deficit underlies positive symptoms of schizophrenia.

BackgroundPeople with psychoses often report fixed, delusional beliefs that are sustained even in the presence of unequivocal contrary evidence. Such delusional beliefs are the result of integrating new and old evidence inappropriately in forming a cognitive model. We propose and test a cognitive model of belief formation using experimental data from an interactive ‘Rock Paper Scissors’ (RPS) game.MethodParticipants (33 controls and 27 people with schizophrenia) played a competitive, time-pressured interactive two-player game (RPS). Participants' behavior was modeled by a generative computational model using leaky integrator and temporal difference methods. This model describes how new and old evidence is integrated to form a playing strategy to beat the opponent and to provide a mechanism for reporting confidence in one's playing strategy to win against the opponent.ResultsPeople with schizophrenia fail to appropriately model their opponent's play despite consistent (rather than random) patterns that can be exploited in the simulated opponent's play. This is manifest as a failure to weigh existing evidence appropriately against new evidence. Furthermore, participants with schizophrenia show a ‘jumping to conclusions’ (JTC) bias, reporting successful discovery of a winning strategy with insufficient evidence.ConclusionsThe model presented suggests two tentative mechanisms in delusional belief formation: (i) one for modeling patterns in other's behavior, where people with schizophrenia fail to use old evidence appropriately, and (ii) a metacognitive mechanism for ‘confidence’ in such beliefs, where people with schizophrenia overweight recent reward history in deciding on the value of beliefs about the opponent.

Psychotic illness is a disorder of social interaction unique to humans. However, up to now research has failed to pin down the exact determinants of the complex and interactive processes associated with the development of trust and reciprocity in psychosis. Utilizing a novel multi-round version of an interactive trust game experiment, we show that patients with psychosis and healthy relatives with a heightened risk for the illness exhibit lower baseline levels of trust compared with healthy controls. This effect partly overlapped with a reduced general intelligence. Furthermore, patients were unable to modify their trusting behaviour neither in response to information about the general trustworthiness of their interaction partner, nor in response to their partners' specific direct behavioural feedback. Relatives, in contrast, modified their trusting behaviour towards similar levels as healthy subjects in response to both. The results show that behavioural flexibility in response to socially relevant information is a critical determinant of success in the instantiation and maintenance of social relationships. A lack thereof may drive social dysfunction and the progression from subclinical symptoms to a full-blown psychosis. This offers a testable mechanistic hypothesis for progression from prodrome to psychotic illness, and may provide a therapeutic avenue to grapple the psychotic symptoms of social dysfunction. © The Author (2012).

There is surprisingly little literature on age-related effectsin passive visual and auditory processing in humans. Inthis study, we use parameterised visual and auditory stim-uli to investigate the relationship between a) visual fre-quency and graded visual cortical activations b) auditoryword presentation frequency and graded auditory corticalactivations in both young and elderly groups. Weattempted to model the relationship between visual /auditory stimuli frequency and differential effects on cor-tical activation in both groups.

Traditional hypermedia systems can be extended to allow content based matching to give more flexibility for user navigation, but this approach is still limited by the capabilities of multimedia matching technology. The addition of a multimedia thesaurus can overcome some of these limitations by allowing multimedia representations of concepts to act like synonyms in the query process. In addition, relationships between concepts allow navigation within the context of a semantic scope. The use of agents that independently examine the information in the system can also provide alternative methods for query evaluation. This paper presents a flexible architecture that supports such a system and describes initial work on implementation.

One of the most active areas of multimedia research is into content based retrieval (CBR) of multimedia information. Using tools from the disparate disciplines of image processing, audio processing, video processing and others, approaches to CBR for the different media are being produced and integrated into multimedia systems, quite frequently in an ad hoc way. Also, traditional hypertext systems allow textual information to be arbitrarily linked so that users can navigate between related parts of the information in a system. Many of these systems can use multimedia information such as images, sounds and video clips that can also be linked. In such hypermedia systems the links are usually created using specific locations in particular documents. Some systems, such as Microcosm, also allow links to be created by specifying the text that forms one anchor of the link. These links are created once and can be followed from any location where the text occurs. To achieve this, the system has to examine documents currently being viewed by the user and look for matches between text in the documents and text that forms anchors of links within the system. Where matches occur the system can highlight the text as a source anchor for a link. This is a form of content based navigation(CBN). Navigational links are dynamically created by matching the content of currently viewed documents with the content of previously created link anchors. For textual documents this is relatively easy to implement since comparing text strings is often straightforward. Content based navigation for multimedia documents also involves comparing and matching selections of images, video and sound with each other. Our MAVIS 1 project addressed the problem of integrated content based retrieval and navigation from non-text media but there are many limitations associated with such systems. This paper will describe some of the reasons for these limitations and present an overview of MAVIS 2, a new architecture for multimedia content based retrieval and navigation. The architecture not only presents a consistent cross media approach to CBR and CBN but also includes the integration of a multimedia thesaurus which can substantially improve the flexibility and versatility of the multimedia information system, enhancing the capabilities of both content based retrieval and content based navigation. MAVIS stands for Multimedia Architecture for Video, Image and Sound and the MAVIS 2 architecture also includes integration of intelligent agents which support navigation by utilising both the media content and semantic concepts in the multimedia thesaurus to develop rapid paths from media based features to semantic concepts or to generate pseudo thesaurus groupings by feature clustering when no semantic relations are available. MAVIS 2 is currently being implemented and the paper will not only present details of the architecture but also show examples of retrieval and navigation with the prototype system.

Recent work suggests that the amphetamine sensitization model of schizophrenia can safely be induced in healthy volunteers and is associated both with behavioral and dopaminergic hypersensitivity to amphetamine. However, the effects of a sensitization on brain function remain unclear.To assess the impact of a sensitizing dosage regimen of dextroamphetamine on human cortical functioning and cognition.Randomized, double-blind, parallel-groups design using pharmacological functional magnetic resonance imaging.The neuroimaging research unit at the Institute of Psychiatry, King's College London, London, England.Healthy male volunteers (n = 22).Dextroamphetamine (20 mg) or placebo administration at 4 testing sessions, using a dosage regimen shown to induce sensitization (ie, 3 doses administered with a 48-hour interdose interval and a final dose after a 2-week washout period).Sensitization was characterized by enhanced subjective response to the drug, changes in behavioral performance (reaction time and accuracy), and functional magnetic resonance imaging measurements of brain activity during an N-back working memory task.Sensitization was associated with more rapid responding during the performance of an intermediate-load working memory challenge. During a high-load cognitive challenge, sensitization did not produce performance deficits, but functional magnetic resonance imaging showed hyperactivity of the dorsolateral prefrontal cortex and aberrant recruitment of the superior temporal gyrus, caudate nucleus, and thalamus. Furthermore, the change in striatal activity was negatively correlated with the enhanced subjective effects of the drug, whereas prefrontal hyperactivity was positively correlated with sensitized measures of alertness.These transient load-dependent abnormalities of frontal and temporal activity induced by amphetamine sensitization support neuroimaging findings in schizophrenic patients, implying that amphetamine sensitization may help to bridge pathophysiological theories of schizophrenia that focus on pharmacological (dopaminergic) and cognitive mechanisms, respectively.

Psychophysical evidence suggests that sensations arising from our own movements are diminished when predicted by motor forward models and that these models may also encode the timing and intensity of movement. Here we report a functional magnetic resonance imaging study in which the effects on sensation of varying the occurrence, timing and force of movements were measured. We observed that tactile-related activity in a region of secondary somatosensory cortex is reduced when sensation is associated with movement and further that this reduction is maximal when movement and sensation occur synchronously. Motor force is not represented in the degree of attenuation but rather in the magnitude of this region's response. These findings provide neurophysiological correlates of previously-observed behavioural forward-model phenomena, and advocate the adopted approach for the study of clinical conditions in which forward-model deficits have been posited to play a crucial role.

This paper presents a new connectionist model of spatial language based on real psycholinguistic data. It puts together various constraints on object knowledge (“what”) and on object localisation (“where”) in order to influence the comprehension of a range of linguistic terms, mirroring what participants do in experiments. The computational model consists of a vision processing module for input scenes, an Elman network module for the representation of object dynamics, and a dual-route network for the production of object names and linguistic prepositions describing the scene. Preliminary simulations on the prediction of spatial term ratings are presented, and extensions of the model to vague quantifiers and other syntactic categories are considered.

Background: Stratified or personalised medicine targets treatments for groups of individuals with a disorder based on individual heterogeneity and shared factors that influence the likelihood of response. Psychiatry has traditionally defined diagnoses by constellations of co-occurring signs and symptoms that are assigned a categorical label (e.g. schizophrenia). Trial methodology in psychiatry has evaluated interventions targeted at these categorical entities, with diagnoses being equated to disorders. Recent insights into both the nosology and neurobiology of psychiatric disorder reveal that traditional categorical diagnoses cannot be equated with disorders. We argue that current quantitative methodology (1) inherits these categorical assumptions, (2) allows only for the discovery of average treatment response, (3) relies on composite outcome measures and (4) sacrifices valuable predictive information for stratified and personalised treatment in psychiatry. Methods and findings: To achieve a truly 'stratified psychiatry' we propose and then operationalise two necessary steps: first, a formal multi-dimensional representation of disorder definition and clinical state, and second, the similar redefinition of outcomes as multidimensional constructs that can expose within- and between-patient differences in response. We use the categorical diagnosis of schizophrenia-conceptualised as a label for heterogeneous disorders-as a means of introducing operational definitions of stratified psychiatry using principles from multivariate analysis. We demonstrate this framework by application to the Clinical Antipsychotic Trials of Intervention Effectiveness dataset, showing heterogeneity in both patient clinical states and their trajectories after treatment that are lost in the traditional categorical approach with composite outcomes. We then systematically review a decade of registered clinical trials for cognitive deficits in schizophrenia highlighting existing assumptions of categorical diagnoses and aggregate outcomes while identifying a small number of trials that could be reanalysed using our proposal. Conclusion: We describe quantitative methods for the development of a multi-dimensional model of clinical state, disorders and trajectories which practically realises stratified psychiatry. We highlight the potential for recovering existing trial data, the implications for stratified psychiatry in trial design and clinical treatment and finally, describe different kinds of probabilistic reasoning tools necessary to implement stratification.