Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 20 de 40
Filter
Add more filters

Country/Region as subject
Publication year range
1.
Br J Psychiatry ; : 1-10, 2024 Aug 05.
Article in English | MEDLINE | ID: mdl-39101211

ABSTRACT

BACKGROUND: A clinical tool to estimate the risk of treatment-resistant schizophrenia (TRS) in people with first-episode psychosis (FEP) would inform early detection of TRS and overcome the delay of up to 5 years in starting TRS medication. AIMS: To develop and evaluate a model that could predict the risk of TRS in routine clinical practice. METHOD: We used data from two UK-based FEP cohorts (GAP and AESOP-10) to develop and internally validate a prognostic model that supports identification of patients at high-risk of TRS soon after FEP diagnosis. Using sociodemographic and clinical predictors, a model for predicting risk of TRS was developed based on penalised logistic regression, with missing data handled using multiple imputation. Internal validation was undertaken via bootstrapping, obtaining optimism-adjusted estimates of the model's performance. Interviews and focus groups with clinicians were conducted to establish clinically relevant risk thresholds and understand the acceptability and perceived utility of the model. RESULTS: We included seven factors in the prediction model that are predominantly assessed in clinical practice in patients with FEP. The model predicted treatment resistance among the 1081 patients with reasonable accuracy; the model's C-statistic was 0.727 (95% CI 0.723-0.732) prior to shrinkage and 0.687 after adjustment for optimism. Calibration was good (expected/observed ratio: 0.999; calibration-in-the-large: 0.000584) after adjustment for optimism. CONCLUSIONS: We developed and internally validated a prediction model with reasonably good predictive metrics. Clinicians, patients and carers were involved in the development process. External validation of the tool is needed followed by co-design methodology to support implementation in early intervention services.

2.
Mol Psychiatry ; 28(5): 2039-2048, 2023 05.
Article in English | MEDLINE | ID: mdl-36806762

ABSTRACT

Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on 8256 patients and 7532 controls were included. Compared with controls, patients demonstrated greater variability in glutamatergic metabolites in the medial frontal cortex (MFC, glutamate: CVR = 0.15, p < 0.001; glutamine: CVR = 0.15, p = 0.003; Glx: CVR = 0.11, p = 0.002), dorsolateral prefrontal cortex (glutamine: CVR = 0.14, p = 0.05; Glx: CVR = 0.25, p < 0.001) and thalamus (glutamate: CVR = 0.16, p = 0.008; Glx: CVR = 0.19, p = 0.008). Studies in younger, more symptomatic patients were associated with greater variability in the basal ganglia (BG glutamate with age: z = -0.03, p = 0.003, symptoms: z = 0.007, p = 0.02) and temporal lobe (glutamate with age: z = -0.03, p = 0.02), while studies with older, more symptomatic patients associated with greater variability in MFC (glutamate with age: z = 0.01, p = 0.02, glutamine with symptoms: z = 0.01, p = 0.02). For individual patient data, most studies showed a unimodal distribution of glutamatergic metabolites. Meta-analysis of mean differences found lower MFC glutamate (g = -0.15, p = 0.03), higher thalamic glutamine (g = 0.53, p < 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p < 0.001). Proportion of males was negatively associated with MFC glutamate (z = -0.02, p < 0.001) and frontal white matter Glx (z = -0.03, p = 0.02) in patients relative to controls. Patient PANSS total score was positively associated with glutamate SMD in BG (z = 0.01, p = 0.01) and temporal lobe (z = 0.05, p = 0.008). Further research into the mechanisms underlying greater glutamatergic metabolite variability in schizophrenia and their clinical consequences may inform the identification of patient subgroups for future treatment strategies.


Subject(s)
Glutamic Acid , Schizophrenia , Male , Humans , Glutamic Acid/metabolism , Schizophrenia/metabolism , Glutamine/metabolism , Brain/metabolism , Proton Magnetic Resonance Spectroscopy
3.
Psychol Med ; 53(8): 3471-3479, 2023 Jun.
Article in English | MEDLINE | ID: mdl-35197142

ABSTRACT

BACKGROUND: Negative symptoms are one of the most incapacitating features of Schizophrenia but their pathophysiology remains unclear. They have been linked to alterations in grey matter in several brain regions, but findings have been inconsistent. This may reflect the investigation of relatively small patient samples, and the confounding effects of chronic illness and exposure to antipsychotic medication. We sought to address these issues by investigating concurrently grey matter volumes (GMV) and cortical thickness (CTh) in a large sample of antipsychotic-naïve or minimally treated patients with First-Episode Schizophrenia (FES). METHODS: T1-weighted structural MRI brain scans were acquired from 180 antipsychotic-naïve or minimally treated patients recruited as part of the OPTiMiSE study. The sample was stratified into subgroups with (N = 88) or without (N = 92) Prominent Negative Symptoms (PMN), based on PANSS ratings at presentation. Regional GMV and CTh in the two groups were compared using Voxel-Based Morphometry (VBM) and FreeSurfer (FS). Between-group differences were corrected for multiple comparisons via Family-Wise Error (FWE) and Monte Carlo z-field simulation respectively at p < 0.05 (2-tailed). RESULTS: The presence of PMN symptoms was associated with larger left inferior orbitofrontal volume (p = 0.03) and greater CTh in the left lateral orbitofrontal gyrus (p = 0.007), but reduced CTh in the left superior temporal gyrus (p = 0.009). CONCLUSIONS: The findings highlight the role of orbitofrontal and temporal cortices in the pathogenesis of negative symptoms of Schizophrenia. As they were evident in generally untreated FEP patients, the results are unlikely to be related to effects of previous treatment or illness chronicity.


Subject(s)
Antipsychotic Agents , Schizophrenia , Humans , Schizophrenia/drug therapy , Antipsychotic Agents/therapeutic use , Antipsychotic Agents/pharmacology , Magnetic Resonance Imaging/methods , Brain , Gray Matter/pathology , Temporal Lobe/diagnostic imaging , Temporal Lobe/pathology
4.
Acta Psychiatr Scand ; 146(1): 21-35, 2022 07.
Article in English | MEDLINE | ID: mdl-35417039

ABSTRACT

OBJECTIVE: Historically, assessment of the psychometric properties of the Positive and Negative Syndrome Scale (PANSS) has had several foci: (1) calculation of reliability indexes, (2) extraction of subdimensions from the scale, and (3) assessment of the validity of the total score. In this study, we aimed to examine the scalability and to assess the clinical performance of the 30-item PANSS total score as well as the scalability of a shorter version (PANSS-6) of the scale. METHODS: A composite data set of 1073 patients with first-episode schizophrenia or schizophrenia spectrum disorder was subjected to Rasch analysis of PANSS data from baseline and 4-6 weeks follow-up. RESULTS: The central tests of fit of the Rasch model failed to satisfy the statistical requirements behind item homogeneity for the PANSS-30 as well as the PANSS-6 total score. For the PANSS-30, Differential Item Functioning was pronounced both for the 7-point Likert scale rating categories and when dichotomizing the rating categories. Subsequently, the Rasch structure analysis in the context of dichotomized items was used to isolate and estimate a systematic error because of item inhomogeneity, as well as a random error. The size of the combined sources of error for the PANSS-30 total score approximated 20% which is often regarded as clinical cut-off between response versus no-response. CONCLUSION: The results demonstrate the operational consequences of a lack of statistical fit of the Rasch model and suggest that the calculated measure of uncertainty needs to be considered when using the PANSS-30 total score.


Subject(s)
Schizophrenia , Humans , Psychometrics/methods , Reproducibility of Results , Schizophrenia/diagnosis
5.
Psychol Med ; 49(12): 2100-2110, 2019 09.
Article in English | MEDLINE | ID: mdl-30348234

ABSTRACT

BACKGROUND: Neuropsychological investigations can help untangle the aetiological and phenomenological heterogeneity of schizophrenia but have scarcely been employed in the context of treatment-resistant (TR) schizophrenia. No population-based study has examined neuropsychological function in the first-episode of TR psychosis. METHODS: We report baseline neuropsychological findings from a longitudinal, population-based study of first-episode psychosis, which followed up cases from index admission to 10 years. At the 10-year follow up patients were classified as treatment responsive or TR after reconstructing their entire case histories. Of 145 cases with neuropsychological data at baseline, 113 were classified as treatment responsive, and 32 as TR at the 10-year follow-up. RESULTS: Compared with 257 community controls, both case groups showed baseline deficits in three composite neuropsychological scores, derived from principal component analysis: verbal intelligence and fluency, visuospatial ability and executive function, and verbal memory and learning (p values⩽0.001). Compared with treatment responders, TR cases showed deficits in verbal intelligence and fluency, both in the extended psychosis sample (t = -2.32; p = 0.022) and in the schizophrenia diagnostic subgroup (t = -2.49; p = 0.017). Similar relative deficits in the TR cases emerged in sub-/sensitivity analyses excluding patients with delayed-onset treatment resistance (p values<0.01-0.001) and those born outside the UK (p values<0.05). CONCLUSIONS: Verbal intelligence and fluency are impaired in patients with TR psychosis compared with those who respond to treatment. This differential is already detectable - at a group level - at the first illness episode, supporting the conceptualisation of TR psychosis as a severe, pathogenically distinct variant, embedded in aberrant neurodevelopmental processes.


Subject(s)
Drug Resistance , Psychotic Disorders/psychology , Schizophrenia/physiopathology , Adolescent , Adult , Cross-Sectional Studies , Executive Function , Female , Follow-Up Studies , Humans , Intelligence , Linear Models , Male , Middle Aged , Neuropsychological Tests , Psychotic Disorders/drug therapy , Schizophrenia/drug therapy , Spatial Memory , United Kingdom , Young Adult
6.
Aust N Z J Psychiatry ; 50(11): 1055-1063, 2016 Nov.
Article in English | MEDLINE | ID: mdl-27756771

ABSTRACT

OBJECTIVE: To compare baseline demographics and 10-year outcomes of a first-episode psychosis patient incidence cohort in order to establish whether current youth-focussed age-based criteria for early intervention services are justified by patient needs. The patients in this cohort were treated prior to the establishment of early intervention services. The study aimed to test the hypothesis that those who develop psychosis at a younger age have worse outcomes than those who develop psychosis at an older age. METHODS: Data on first-episode psychosis patients from the ÆSOP-10 longitudinal follow-up study were used to compare baseline characteristics, and 10-year clinical, functional and service use outcomes between those patients who would and would not have met age-based criteria for early intervention services, in Australia or in the United Kingdom. RESULTS: In total, 58% men and 71% women with first-episode psychosis were too old to meet current Australian-early intervention age-entry criteria (χ2 = 9.1, p = 0.003), while 21% men and 34% women were too old for UK-early intervention age-entry criteria (χ2 = 11.1, p = 0.001). The 10-year clinical and functional outcomes did not differ significantly between groups by either Australian- or UK-early intervention age-entry criteria. Service use was significantly greater among the patients young enough to meet early intervention age-criteria (Australia: incidence rate ratio = 1.35 [1.19, 1.52], p < 0.001; United Kingdom: incidence rate ratio = 1.65 [1.41, 1.93], p < 0.001). CONCLUSION: Current early intervention services are gender- and age-inequitable. Large numbers of patients with first-episode psychosis will not receive early intervention care under current service provision. Illness outcomes at 10-years were no worse in first-episode psychosis patients who presented within the age range for whom early intervention has been prioritised, though these patients had greater service use. These data provide a rationale to consider extension of early intervention to all, rather than just to youth.


Subject(s)
Early Medical Intervention/statistics & numerical data , Mental Health Services/statistics & numerical data , Outcome Assessment, Health Care/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Psychotic Disorders/therapy , Adult , Age of Onset , Female , Follow-Up Studies , Humans , Male , United Kingdom , Young Adult
7.
J Cereb Blood Flow Metab ; 43(8): 1285-1300, 2023 08.
Article in English | MEDLINE | ID: mdl-37026455

ABSTRACT

In this study we evaluate the performance of a fully automated analytical framework for FDOPA PET neuroimaging data, and its sensitivity to demographic and experimental variables and processing parameters. An instance of XNAT imaging platform was used to store the King's College London institutional brain FDOPA PET imaging archive, alongside individual demographics and clinical information. By re-engineering the historical Matlab-based scripts for FDOPA PET analysis, a fully automated analysis pipeline for imaging processing and data quantification was implemented in Python and integrated in XNAT. The final data repository includes 892 FDOPA PET scans organized from 23 different studies. We found good reproducibility of the data analysis by the automated pipeline (in the striatum for the Kicer: for the controls ICC = 0.71, for the psychotic patients ICC = 0.88). From the demographic and experimental variables assessed, gender was found to most influence striatal dopamine synthesis capacity (F = 10.7, p < 0.001), with women showing greater dopamine synthesis capacity than men. Our automated analysis pipeline represents a valid resourse for standardised and robust quantification of dopamine synthesis capacity using FDOPA PET data. Combining information from different neuroimaging studies has allowed us to test it comprehensively and to validate its replicability and reproducibility performances on a large sample size.


Subject(s)
Dihydroxyphenylalanine , Dopamine , Male , Humans , Female , Dopamine/metabolism , Reproducibility of Results , Positron-Emission Tomography/methods , Neuroimaging
8.
Schizophr Res ; 255: 173-181, 2023 05.
Article in English | MEDLINE | ID: mdl-37001392

ABSTRACT

BACKGROUND: Antipsychotic treatment resistance affects up to a third of individuals with schizophrenia, with recent research finding systematic biological differences between antipsychotic resistant and responsive patients. Our aim was to determine whether cognitive impairment at first episode significantly differs between future antipsychotic responders and resistant cases. METHODS: Analysis of data from seven international cohorts of first-episode psychosis (FEP) with cognitive data at baseline (N = 683) and follow-up data on antipsychotic treatment response: 605 treatment responsive and 78 treatment resistant cases. Cognitive measures were grouped into seven cognitive domains based on the pre-existing literature. We ran multiple imputation for missing data and used logistic regression to test for associations between cognitive performance at FEP and treatment resistant status at follow-up. RESULTS: On average patients who were future classified as treatment resistant reported poorer performance across most cognitive domains at baseline. Univariate logistic regressions showed that antipsychotic treatment resistance cases had significantly poorer IQ/general cognitive functioning at FEP (OR = 0.70, p = .003). These findings remained significant after adjusting for additional variables in multivariable analyses (OR = 0.76, p = .049). CONCLUSIONS: Although replication in larger studies is required, it appears that deficits in IQ/general cognitive functioning at first episode are associated with future treatment resistance. Cognitive variables may be able to provide further insight into neurodevelopmental factors associated with treatment resistance or act as early predictors of treatment resistance, which could allow prompt identification of refractory illness and timely interventions.


Subject(s)
Antipsychotic Agents , Psychotic Disorders , Schizophrenia , Humans , Prospective Studies , Antipsychotic Agents/therapeutic use , Psychotic Disorders/complications , Psychotic Disorders/drug therapy , Psychotic Disorders/psychology , Schizophrenia/complications , Schizophrenia/drug therapy , Cognition
9.
BJPsych Open ; 8(3): e88, 2022 Apr 28.
Article in English | MEDLINE | ID: mdl-35481438

ABSTRACT

Negative psychotic symptoms are among the most disabling features of schizophrenia, and are strongly associated with relatively poor clinical and functional outcomes. However, there are no effective treatments for negative symptoms, and this represents a major unmet clinical need. Recent research has shown that negative symptoms are already present in many patients at illness onset. There is evidence that cariprazine may improve negative symptoms in patients with chronic schizophrenia. However, its utility in treating negative symptoms in the early stage of the disorder is unclear. Here, we report six cases of patients with first-episode psychosis who were treated with cariprazine.

10.
JAMA Psychiatry ; 79(3): 260-269, 2022 Mar 01.
Article in English | MEDLINE | ID: mdl-35019943

ABSTRACT

IMPORTANCE: About 20% to 30% of people with schizophrenia have psychotic symptoms that do not respond adequately to first-line antipsychotic treatment. This clinical presentation, chronic and highly disabling, is known as treatment-resistant schizophrenia (TRS). The causes of treatment resistance and their relationships with causes underlying schizophrenia are largely unknown. Adequately powered genetic studies of TRS are scarce because of the difficulty in collecting data from well-characterized TRS cohorts. OBJECTIVE: To examine the genetic architecture of TRS through the reassessment of genetic data from schizophrenia studies and its validation in carefully ascertained clinical samples. DESIGN, SETTING, AND PARTICIPANTS: Two case-control genome-wide association studies (GWASs) of schizophrenia were performed in which the case samples were defined as individuals with TRS (n = 10 501) and individuals with non-TRS (n = 20 325). The differences in effect sizes for allelic associations were then determined between both studies, the reasoning being such differences reflect treatment resistance instead of schizophrenia. Genotype data were retrieved from the CLOZUK and Psychiatric Genomics Consortium (PGC) schizophrenia studies. The output was validated using polygenic risk score (PRS) profiling of 2 independent schizophrenia cohorts with TRS and non-TRS: a prevalence sample with 817 individuals (Cardiff Cognition in Schizophrenia [CardiffCOGS]) and an incidence sample with 563 individuals (Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances [STRATA-G]). MAIN OUTCOMES AND MEASURES: GWAS of treatment resistance in schizophrenia. The results of the GWAS were compared with complex polygenic traits through a genetic correlation approach and were used for PRS analysis on the independent validation cohorts using the same TRS definition. RESULTS: The study included a total of 85 490 participants (48 635 [56.9%] male) in its GWAS stage and 1380 participants (859 [62.2%] male) in its PRS validation stage. Treatment resistance in schizophrenia emerged as a polygenic trait with detectable heritability (1% to 4%), and several traits related to intelligence and cognition were found to be genetically correlated with it (genetic correlation, 0.41-0.69). PRS analysis in the CardiffCOGS prevalence sample showed a positive association between TRS and a history of taking clozapine (r2 = 2.03%; P = .001), which was replicated in the STRATA-G incidence sample (r2 = 1.09%; P = .04). CONCLUSIONS AND RELEVANCE: In this GWAS, common genetic variants were differentially associated with TRS, and these associations may have been obscured through the amalgamation of large GWAS samples in previous studies of broadly defined schizophrenia. Findings of this study suggest the validity of meta-analytic approaches for studies on patient outcomes, including treatment resistance.


Subject(s)
Psychotic Disorders , Schizophrenia , Female , Genetic Predisposition to Disease/genetics , Genome-Wide Association Study , Humans , Male , Multifactorial Inheritance/genetics , Psychotic Disorders/drug therapy , Schizophrenia/diagnosis , Schizophrenia/drug therapy , Schizophrenia/genetics
11.
Schizophr Res ; 250: 1-9, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36242784

ABSTRACT

INTRODUCTION: Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. METHODS: We combined data from ten prospective, first-episode psychosis cohorts from across Europe and categorised patients as TR or non-treatment resistant (NTR) after a mean follow up of 4.18 years (s.d. = 3.20) for secondary data analysis. We identified a list of potential predictors from clinical and demographic data recorded at first-episode. These potential predictors were entered in two models: a multivariable logistic regression to identify which were independently associated with TR and a penalised logistic regression, which performed variable selection, to produce a parsimonious prediction model. This model was internally validated using a 5-fold, 50-repeat cross-validation optimism-correction. RESULTS: Our sample consisted of N = 2216 participants of which 385 (17 %) developed TR. Younger age of psychosis onset and fewer years in education were independently associated with increased odds of developing TR. The prediction model selected 7 out of 17 variables that, when combined, could quantify the risk of being TR better than chance. These included age of onset, years in education, gender, BMI, relationship status, alcohol use, and positive symptoms. The optimism-corrected area under the curve was 0.59 (accuracy = 64 %, sensitivity = 48 %, and specificity = 76 %). IMPLICATIONS: Our findings show that treatment resistance can be predicted, at first-episode of psychosis. Pending a model update and external validation, we demonstrate the potential value of prediction models for TR.


Subject(s)
Antipsychotic Agents , Psychotic Disorders , Humans , Antipsychotic Agents/therapeutic use , Prognosis , Prospective Studies , Psychotic Disorders/diagnosis , Educational Status
12.
J Nerv Ment Dis ; 199(11): 896-8, 2011 Nov.
Article in English | MEDLINE | ID: mdl-22048144

ABSTRACT

Posttraumatic stress disorder is common among patients with psychotic disorders. The present study examined the internal reliability and comparability of the Impact of Event Scale (IES) in a sample of 38 patients with first-episode psychosis and 47 controls exposed to severe physical and/or sexual abuse. The IES total score and both subscales showed high internal consistency in both groups (Cronbach's alpha coefficients of approximately 0.9 or higher). Given their equivalent trauma reporting, the lack of differences in IES scores between patients and controls seems to indicate that patients are likely to report accurately and neither exaggerate nor minimize their posttraumatic symptoms. Overall, the findings suggest that the IES can be used to assess symptoms of posttraumatic stress in patients with psychotic disorders as in other populations.


Subject(s)
Psychotic Disorders/psychology , Stress Disorders, Post-Traumatic/diagnosis , Adult , Case-Control Studies , Female , Humans , Male , Psychiatric Status Rating Scales , Psychotic Disorders/diagnosis , Statistics, Nonparametric , Stress Disorders, Post-Traumatic/psychology
13.
Neuropsychopharmacology ; 46(6): 1122-1132, 2021 05.
Article in English | MEDLINE | ID: mdl-32961543

ABSTRACT

[18F]FDOPA PET imaging has shown dopaminergic function indexed as Kicer differs between antipsychotic treatment responders and non-responders. However, the theragnostic potential of this biomarker to identify non-responders has yet to be evaluated. In view of this, we aimed to evaluate this as a theragnostic test using linear and non-linear machine-learning (i.e., Bernoulli, support vector, random forest and Gaussian processes) analyses and to develop and evaluate a simplified approach, standardised uptake value ratio (SUVRc). Both [18F]FDOPA PET approaches had good test-rest reproducibility across striatal regions (Kicer ICC: 0.68-0.94, SUVRc ICC: 0.76-0.91). Both our linear and non-linear classification models showed good predictive power to distinguish responders from non-responders (receiver operating curve area under the curve for region-of-interest approach: Kicer = 0.80, SUVRc = 0.79; for voxel-wise approach using a linear support vector machine: 0.88) and similar sensitivity for identifying treatment non-responders with 100% specificity (Kicer: ~50%, SUVRc: 40-60%). Although the findings were replicated in two independent datasets, given the total sample size (n = 84) and single setting, they warrant testing in other samples and settings. Preliminary economic analysis of [18F]FDOPA PET to fast-track treatment-resistant patients with schizophrenia to clozapine indicated a potential healthcare cost saving of ~£3400 (equivalent to $4232 USD) per patient. These findings indicate [18F]FDOPA PET dopamine imaging has potential as biomarker to guide treatment choice.


Subject(s)
Dihydroxyphenylalanine , Psychotic Disorders , Biomarkers , Humans , Positron-Emission Tomography , Psychotic Disorders/diagnostic imaging , Psychotic Disorders/drug therapy , Radiopharmaceuticals , Reproducibility of Results
14.
Transl Psychiatry ; 11(1): 630, 2021 12 13.
Article in English | MEDLINE | ID: mdl-34903724

ABSTRACT

Recent work has suggested that disorganised speech might be a powerful predictor of later psychotic illness in clinical high risk subjects. To that end, several automated measures to quantify disorganisation of transcribed speech have been proposed. However, it remains unclear which measures are most strongly associated with psychosis, how different measures are related to each other and what the best strategies are to collect speech data from participants. Here, we assessed whether twelve automated Natural Language Processing markers could differentiate transcribed speech excerpts from subjects at clinical high risk for psychosis, first episode psychosis patients and healthy control subjects (total N = 54). In-line with previous work, several measures showed significant differences between groups, including semantic coherence, speech graph connectivity and a measure of whether speech was on-topic, the latter of which outperformed the related measure of tangentiality. Most NLP measures examined were only weakly related to each other, suggesting they provide complementary information. Finally, we compared the ability of transcribed speech generated using different tasks to differentiate the groups. Speech generated from picture descriptions of the Thematic Apperception Test and a story re-telling task outperformed free speech, suggesting that choice of speech generation method may be an important consideration. Overall, quantitative speech markers represent a promising direction for future clinical applications.


Subject(s)
Natural Language Processing , Psychotic Disorders , Biomarkers , Cognition , Humans , Psychotic Disorders/diagnosis , Speech
15.
Schizophr Res ; 228: 493-501, 2021 02.
Article in English | MEDLINE | ID: mdl-32951966

ABSTRACT

BACKGROUND: Formal thought disorder is a cardinal feature of psychotic disorders, and is also evident in subtle forms before psychosis onset in individuals at clinical high-risk for psychosis (CHR-P). Assessing speech output or assessing expressive language with speech as the medium at this stage may be particularly useful in predicting later transition to psychosis. METHOD: Speech samples were acquired through administration of the Thought and Language Index (TLI) in 24 CHR-P participants, 16 people with first-episode psychosis (FEP) and 13 healthy controls. The CHR-P individuals were then followed clinically for a mean of 7 years (s.d. = 1.5) to determine if they transitioned to psychosis. Non-semantic speech graph analysis was used to assess the connectedness of transcribed speech in all groups. RESULTS: Speech was significantly more disconnected in the FEP group than in both healthy controls (p < .01) and the CHR-P group (p < .05). Results remained significant when IQ was included as a covariate. Significant correlations were found between speech connectedness measures and scores on the TLI, a manual assessment of formal thought disorder. In the CHR-P group, lower scores on two measures of speech connectedness were associated with subsequent transition to psychosis (8 transitions, 16 non-transitions; p < .05). CONCLUSION: These findings support the utility and validity of speech graph analysis methods in characterizing speech connectedness in the early phases of psychosis. This approach has the potential to be developed into an automated, objective and time-efficient way of stratifying individuals at CHR-P according to level of psychosis risk.


Subject(s)
Psychotic Disorders , Speech , Humans , Incidence , Language , Psychotic Disorders/epidemiology
16.
Schizophr Bull ; 47(2): 444-455, 2021 03 16.
Article in English | MEDLINE | ID: mdl-33057670

ABSTRACT

Individuals with psychoses have brain alterations, particularly in frontal and temporal cortices, that may be particularly prominent, already at illness onset, in those more likely to have poorer symptom remission following treatment with the first antipsychotic. The identification of strong neuroanatomical markers of symptom remission could thus facilitate stratification and individualized treatment of patients with schizophrenia. We used magnetic resonance imaging at baseline to examine brain regional and network correlates of subsequent symptomatic remission in 167 medication-naïve or minimally treated patients with first-episode schizophrenia, schizophreniform disorder, or schizoaffective disorder entering a three-phase trial, at seven sites. Patients in remission at the end of each phase were randomized to treatment as usual, with or without an adjunctive psycho-social intervention for medication adherence. The final follow-up visit was at 74 weeks. A total of 108 patients (70%) were in remission at Week 4, 85 (55%) at Week 22, and 97 (63%) at Week 74. We found no baseline regional differences in volumes, cortical thickness, surface area, or local gyrification between patients who did or did not achieved remission at any time point. However, patients not in remission at Week 74, at baseline showed reduced structural connectivity across frontal, anterior cingulate, and insular cortices. A similar pattern was evident in patients not in remission at Week 4 and Week 22, although not significantly. Lack of symptom remission in first-episode psychosis is not associated with regional brain alterations at illness onset. Instead, when the illness becomes a stable entity, its association with the altered organization of cortical gyrification becomes more defined.


Subject(s)
Antipsychotic Agents/pharmacology , Cerebral Cortex/pathology , Nerve Net/pathology , Outcome Assessment, Health Care , Psychotic Disorders , Schizophrenia , Adolescent , Adult , Antipsychotic Agents/administration & dosage , Cerebral Cortex/diagnostic imaging , Female , Follow-Up Studies , Humans , Magnetic Resonance Imaging , Male , Nerve Net/diagnostic imaging , Psychotic Disorders/drug therapy , Psychotic Disorders/pathology , Psychotic Disorders/physiopathology , Remission Induction , Schizophrenia/drug therapy , Schizophrenia/pathology , Schizophrenia/physiopathology , Time Factors , Young Adult
17.
JAMA Psychiatry ; 78(6): 667-681, 2021 06 01.
Article in English | MEDLINE | ID: mdl-33881460

ABSTRACT

Importance: Proton magnetic resonance spectroscopy (1H-MRS) studies indicate that altered brain glutamatergic function may be associated with the pathophysiology of schizophrenia and the response to antipsychotic treatment. However, the association of altered glutamatergic function with clinical and demographic factors is unclear. Objective: To assess the associations of age, symptom severity, level of functioning, and antipsychotic treatment with brain glutamatergic metabolites. Data Sources: The MEDLINE database was searched to identify journal articles published between January 1, 1980, and June 3, 2020, using the following search terms: MRS or magnetic resonance spectroscopy and (1) schizophrenia or (2) psychosis or (3) UHR or (4) ARMS or (5) ultra-high risk or (6) clinical high risk or (7) genetic high risk or (8) prodrome* or (9) schizoaffective. Authors of 114 1H-MRS studies measuring glutamate (Glu) levels in patients with schizophrenia were contacted between January 2014 and June 2020 and asked to provide individual participant data. Study Selection: In total, 45 1H-MRS studies contributed data. Data Extraction and Synthesis: Associations of Glu, Glu plus glutamine (Glx), or total creatine plus phosphocreatine levels with age, antipsychotic medication dose, symptom severity, and functioning were assessed using linear mixed models, with study as a random factor. Main Outcomes and Measures: Glu, Glx, and Cr values in the medial frontal cortex (MFC) and medial temporal lobe (MTL). Results: In total, 42 studies were included, with data for 1251 patients with schizophrenia (mean [SD] age, 30.3 [10.4] years) and 1197 healthy volunteers (mean [SD] age, 27.5 [8.8] years). The MFC Glu (F1,1211.9 = 4.311, P = .04) and Glx (F1,1079.2 = 5.287, P = .02) levels were lower in patients than in healthy volunteers, and although creatine levels appeared lower in patients, the difference was not significant (F1,1395.9 = 3.622, P = .06). In both patients and volunteers, the MFC Glu level was negatively associated with age (Glu to Cr ratio, F1,1522.4 = 47.533, P < .001; cerebrospinal fluid-corrected Glu, F1,1216.7 = 5.610, P = .02), showing a 0.2-unit reduction per decade. In patients, antipsychotic dose (in chlorpromazine equivalents) was negatively associated with MFC Glu (estimate, 0.10 reduction per 100 mg; SE, 0.03) and MFC Glx (estimate, -0.11; SE, 0.04) levels. The MFC Glu to Cr ratio was positively associated with total symptom severity (estimate, 0.01 per 10 points; SE, 0.005) and positive symptom severity (estimate, 0.04; SE, 0.02) and was negatively associated with level of global functioning (estimate, 0.04; SE, 0.01). In the MTL, the Glx to Cr ratio was positively associated with total symptom severity (estimate, 0.06; SE, 0.03), negative symptoms (estimate, 0.2; SE, 0.07), and worse Clinical Global Impression score (estimate, 0.2 per point; SE, 0.06). The MFC creatine level increased with age (estimate, 0.2; SE, 0.05) but was not associated with either symptom severity or antipsychotic medication dose. Conclusions and Relevance: Findings from this mega-analysis suggest that lower brain Glu levels in patients with schizophrenia may be associated with antipsychotic medication exposure rather than with greater age-related decline. Higher brain Glu levels may act as a biomarker of illness severity in schizophrenia.


Subject(s)
Antipsychotic Agents/pharmacology , Brain/metabolism , Glutamic Acid/metabolism , Schizophrenia/drug therapy , Schizophrenia/metabolism , Schizophrenia/physiopathology , Adult , Age Factors , Biomarkers/metabolism , Brain/diagnostic imaging , Brain/drug effects , Female , Glutamic Acid/drug effects , Glutamine/drug effects , Glutamine/metabolism , Humans , Male , Patient Acuity , Proton Magnetic Resonance Spectroscopy , Young Adult
18.
Neuroimage ; 50(2): 524-531, 2010 Apr 01.
Article in English | MEDLINE | ID: mdl-20034580

ABSTRACT

Brain presynaptic dopaminergic function can be assessed using 18F-DOPA positron emission tomography (PET). Regional 18F-DOPA utilization may be used to index dopaminergic abnormalities over time or dopaminergic response to treatment in clinical populations. Such studies require prior knowledge of the stability of the 18F-DOPA signal in the brain regions of interest. Test-retest reliability was examined in eight healthy volunteers who each received two 18F-DOPA PET scans, approximately 2 years apart. 18F-DOPA utilization (k(i)(cer)) was determined using graphical analysis relative to a reference tissue input (Patlak and Blasberg, 1985). Reproducibility (measured as the within-subjects variation) and reliability (measured as intraclass correlation coefficients, ICCs) of 18F-DOPA k(i)(cer) were assessed in the structural and functional subdivisions of the striatum and select extrastriatal brain regions. Voxel-based median ICC maps were used to visualize the distribution of 18F-DOPA k(i)(cer) reliability across the brain. The caudate and putamen, and associative and sensorimotor, striatal subdivisions showed good reliability across the two scan sessions with bilateral ICCs ranging from 0.681 to 0.944. Reliability was generally lower in extrastriatal regions, with bilateral ICCs ranging from 0.235 in the amygdala to 0.894 in the thalamus. These data confirm the utility of 18F-DOPA PET in assessing dopaminergic function in the striatum and select extrastriatal areas but highlight the limitations in using this approach to measure dopaminergic function in low uptake extrastriatal brain areas. This information can be used to optimize the experimental design of future studies investigating changes in brain dopaminergic function with 18F-DOPA.


Subject(s)
Brain/diagnostic imaging , Dihydroxyphenylalanine , Dopamine/metabolism , Fluorodeoxyglucose F18 , Positron-Emission Tomography , Radiopharmaceuticals , Adult , Female , Humans , Image Processing, Computer-Assisted , Male , Presynaptic Terminals/diagnostic imaging , Reproducibility of Results , Young Adult
19.
J Psychopharmacol ; 34(8): 839-847, 2020 08.
Article in English | MEDLINE | ID: mdl-32436761

ABSTRACT

BACKGROUND: There is a pressing need for new classes of treatment for psychosis. A key therapeutic target for novel compounds is the NMDA receptor, which may be modulated by nitric oxide donors such as sodium nitroprusside (SNP). Recent studies of SNP in patients with psychosis have mixed results, and the drug has to be administered intravenously. Glyceryl trinitrate (GTN) is a well-established cardiovascular medicine that is also a nitric oxide donor, and can be given orally. AIMS: We explored the safety and potential effects of GTN in unmedicated patients with a first episode of psychosis. METHODS: This was a single-centre, randomised, double-blind, placebo-controlled trial from December 2016 to April 2019 (ClinicalTrials.gov identifier: NCT02906553). Patients received 3 × sprays of GTN or placebo for three consecutive days, and were re-assessed on Days 1, 2, 3 and 7. The primary outcome was cognition (Jumping to Conclusions task), secondary outcomes were symptoms (Positive and Negative Syndrome Scale (PANSS)), verbal memory (Hopkins Verbal Learning task), and mood (Bond-Lader Visual Analogue Scales). RESULTS: Nineteen patients were randomised, and 13 participants were included in the analyses. Compared with placebo, GTN was well tolerated, but was not associated with significant effects on cognition, symptoms, or mood. Bayesian statistics indicate that our results were 2× more likely under the null hypothesis than the alternative hypothesis, providing anecdotal evidence that GTN does not improve psychotic symptoms. CONCLUSIONS: We found no indication of an effect of GTN on symptoms of psychosis or cognition.


Subject(s)
Cognitive Dysfunction/drug therapy , Nitric Oxide Donors/pharmacology , Nitroglycerin/pharmacology , Outcome Assessment, Health Care , Psychotic Disorders/drug therapy , Adolescent , Adult , Cognitive Dysfunction/etiology , Cognitive Dysfunction/physiopathology , Double-Blind Method , Feasibility Studies , Female , Humans , Male , Nitric Oxide Donors/administration & dosage , Nitric Oxide Donors/adverse effects , Nitroglycerin/administration & dosage , Nitroglycerin/adverse effects , Oral Sprays , Pilot Projects , Psychotic Disorders/complications , Psychotic Disorders/physiopathology , Young Adult
20.
Psychiatry Res ; 289: 112970, 2020 07.
Article in English | MEDLINE | ID: mdl-32438207

ABSTRACT

The observed heterogeneity in negative symptom treatment response may be partly attributable to inadequate measurement tools or limitations in methods of analysis. Previous Item Response Theory models of the Positive and Negative Syndrome Scale (PANSS) have only examined samples of chronic patients and with mixed results. We examined the scalability of the negative subscale embedded in the PANSS and subsequently explored negative symptom trajectories across four weeks of amisulpride treatment. Data were derived from the OPTiMiSE trial comprising 446 patients with first-episode schizophrenia or schizophreniform disorder. Using the Rasch Model to examine psychometric properties of the PANSS negative subscale, we found that the composite score across items was not an adequate measure of negative symptom severity. Consequently, we chose an exploratory statistical approach involving Principal Component Analysis which yielded one significant component clustering into two significant symptom trajectories: 1) Subtle but constant decrease in negative symptom severity (N = 323; 72%), and 2) symptom instability across visits (N = 19; 4%). Explorative analytic methods as presented here may pave the way for more efficient and sensitive methods of analyzing negative symptom response in research and in clinical practice.


Subject(s)
Behavioral Symptoms/diagnosis , Psychiatric Status Rating Scales/standards , Psychometrics/statistics & numerical data , Schizophrenia/diagnosis , Adult , Amisulpride/therapeutic use , Antipsychotic Agents/therapeutic use , Behavioral Symptoms/drug therapy , Behavioral Symptoms/etiology , Female , Humans , Male , Middle Aged , Psychotic Disorders/diagnosis , Schizophrenic Psychology , Treatment Outcome
SELECTION OF CITATIONS
SEARCH DETAIL