Association of Hippocampal Glutamate Levels With Adverse Outcomes in Individuals at Clinical High Risk for Psychosis

Importance: Preclinical and human data suggest that hippocampal dysfunction plays a critical role in the onset of psychosis. Neural hyperactivity in the hippocampus is thought to drive an increase in subcortical dopamine function through glutamatergic projections to the striatum. Objective: To examine the association between hippocampal glutamate levels in individuals at clinical high risk for psychosis and their subsequent clinical outcomes. Design, Setting, and Participants: This cross-sectional study of 86 individuals at clinical high risk for psychosis and 30 healthy control individuals, with a mean follow-up of 18.5 months, was conducted between November 1, 2011, and November 1, 2017, at early detection services in London and Cambridge, United Kingdom. Main Outcomes and Measures: Concentrations of glutamate and other metabolites were measured in the left hippocampus using 3-T proton magnetic resonance spectroscopy at the first clinical presentation. At follow-up, clinical outcomes were assessed in terms of transition or nontransition to psychosis using the Comprehensive Assessment of the At-Risk Mental State criteria and the level of overall functioning using the Global Assessment of Function scale. Results: Of 116 total participants, 86 were at clinical high risk for psychosis (50 [58%] male; mean [SD] age, 22.4 [3.5] years) and 30 were healthy controls (14 [47%] male; mean [SD] age, 24.7 [3.8] years). At follow-up, 12 clinical high-risk individuals developed a first episode of psychosis whereas 74 clinical high-risk individuals did not; 19 clinical high-risk individuals showed good overall functioning (Global Assessment of Function ≥65), whereas 38 clinical high-risk individuals had a poor functional outcome (Global Assessment of Function <65). Compared with clinical high-risk individuals who did not become psychotic, clinical high-risk individuals who developed psychosis showed higher hippocampal glutamate levels (mean [SD], 8.33 [1.48] vs 9.16 [1.28] glutamate levels; P = .048). The clinical high-risk individuals who developed psychosis also had higher myo-inositol levels (mean [SD], 7.60 [1.23] vs 6.24 [1.36] myo-inositol levels; P = .002) and higher creatine levels (mean [SD], 8.18 [0.74] vs 7.32 [1.09] creatine levels; P = .01) compared with clinical high-risk individuals who did not become psychotic, and higher myo-inositol levels compared with healthy controls (mean [SD], 7.60 [1.23] vs 6.19 [1.51] myo-inositol levels; P = .005). Higher hippocampal glutamate levels in clinical high-risk individuals were also associated with a poor functional outcome (mean [SD], 8.83 [1.43] vs 7.76 [1.40] glutamate levels; P = .02). In the logistic regression analyses, hippocampal glutamate levels were significantly associated with clinical outcome in terms of transition and nontransition to psychosis (β = 0.48; odds ratio = 1.61; 95% CI, 1.00-2.59; P = .05) and overall functioning (β = 0.53; odds ratio = 1.71; 95% CI, 1.10-2.66; P = .02). Conclusions and Relevance: The findings indicate that adverse clinical outcomes in individuals at clinical high risk for psychosis may be associated with an increase in baseline hippocampal glutamate levels, as well as an increase in myo-inositol and creatine levels. This conclusion suggests that these measures could contribute to the stratification of clinical high-risk individuals according to future clinical outcomes

Integrated metastate functional connectivity networks predict change in symptom severity in clinical high risk for psychosis

The ability to identify biomarkers of psychosis risk is essential in defining effective preventive measures to potentially circumvent the transition to psychosis. Using samples of people at clinical high risk for psychosis (CHR) and Healthy controls (HC) who were administered a task fMRI paradigm, we used a framework for labelling time windows of fMRI scans as ‘integrated’ FC networks to provide a granular representation of functional connectivity (FC). Periods of integration were defined using the ‘cartographic profile’ of time windows and k‐means clustering, and sub‐network discovery was carried out using Network Based Statistics (NBS). There were no network differences between CHR and HC groups. Within the CHR group, using integrated FC networks, we identified a sub‐network negatively associated with longitudinal changes in the severity of psychotic symptoms. This sub‐network comprised brain areas implicated in bottom‐up sensory processing and in integration with motor control, suggesting it may be related to the demands of the fMRI task. These data suggest that extracting integrated FC networks may be useful in the investigation of biomarkers of psychosis risk

Basic Self-Disturbances Related to Reduced Anterior Cingulate Volume in Subjects at Ultra-High Risk for Psychosis

Introduction: Alterations of the “pre-reflective” sense of first-person perspective (e.g., of the “basic self”) are characteristic features of schizophrenic spectrum disorders and are significantly present in the prodromal phase of psychosis and in subjects at ultra-high risk for psychosis (UHR). Studies in healthy controls suggest that neurobiological substrate of the basic self involves cortical midline structures, such as the anterior and posterior cingulate cortices. Neuroimaging studies have identified neuroanatomical cortical midline structure abnormalities in schizophrenic spectrum disorders.Objectives: i) To compare basic self-disturbances levels in UHR subjects and controls and ii) to assess the relationship between basic self-disturbances and alterations in cortical midline structures volume in UHR subjects.Methods: Thirty-one UHR subjects (27 antipsychotic-naïve) and 16 healthy controls were assessed using the 57-item semistructured Examination of Anomalous Self-Experiences (EASE) interview. All subjects were scanned using magnetic resonance imaging (MRI) at 3 T, and gray matter volume was measured in a priori defined regions of interest (ROIs) in the cortical midline structures.Results: EASE scores were much higher in UHR subjects than controls (p &lt; 0.001). The UHR group had smaller anterior cingulate volume than controls (p = 0.037). There were no structural brain imaging alterations between UHR individuals with or without self-disturbances. Within the UHR sample, the subgroup with higher EASE scores had smaller anterior cingulate volumes than UHR subjects with lower EASE scores and controls (p = 0.018). In the total sample, anterior cingulate volume was inversely correlated with the EASE score (R = 0.52, p &lt; 0.016).Conclusions: Basic self-disturbances in UHR subjects appear to be related to reductions in anterior cingulate volume

Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis

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 &lt; 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 &lt; 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 &lt; 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p &lt; 0.001). Proportion of males was negatively associated with MFC glutamate (z = −0.02, p &lt; 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

ENIGMA and global neuroscience: A decade of large-scale studies of the brain in health and disease across more than 40 countries

This review summarizes the last decade of work by the ENIGMA (Enhancing NeuroImaging Genetics through Meta Analysis) Consortium, a global alliance of over 1400 scientists across 43 countries, studying the human brain in health and disease. Building on large-scale genetic studies that discovered the first robustly replicated genetic loci associated with brain metrics, ENIGMA has diversified into over 50 working groups (WGs), pooling worldwide data and expertise to answer fundamental questions in neuroscience, psychiatry, neurology, and genetics. Most ENIGMA WGs focus on specific psychiatric and neurological conditions, other WGs study normal variation due to sex and gender differences, or development and aging; still other WGs develop methodological pipelines and tools to facilitate harmonized analyses of "big data" (i.e., genetic and epigenetic data, multimodal MRI, and electroencephalography data). These international efforts have yielded the largest neuroimaging studies to date in schizophrenia, bipolar disorder, major depressive disorder, post-traumatic stress disorder, substance use disorders, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, autism spectrum disorders, epilepsy, and 22q11.2 deletion syndrome. More recent ENIGMA WGs have formed to study anxiety disorders, suicidal thoughts and behavior, sleep and insomnia, eating disorders, irritability, brain injury, antisocial personality and conduct disorder, and dissociative identity disorder. Here, we summarize the first decade of ENIGMA's activities and ongoing projects, and describe the successes and challenges encountered along the way. We highlight the advantages of collaborative large-scale coordinated data analyses for testing reproducibility and robustness of findings, offering the opportunity to identify brain systems involved in clinical syndromes across diverse samples and associated genetic, environmental, demographic, cognitive, and psychosocial factors

Neuroanatomy of auditory verbal hallucinations in schizophrenia:A quantitative meta-analysis of voxel-based morphometry studies

<p>Introduction: Voxel-based morphometry (VBM) studies demonstrate grey matter volume (GMV) deficits in schizophrenia. This method is also applied for detecting associations between specific psychotic symptoms and brain structure, such as auditory verbal hallucinations (AVHs). However, due to differing methodological approaches, the available findings are inconsistent and difficult to integrate.</p><p>Methods: We used a novel voxel-based meta-analytical method to provide a robust quantitative review of neuroanatomical abnormalities specifically associated with the hallucinatory phenomenon in the schizophrenic brain. We reviewed all VBM studies of AVHs in schizophrenia published until July 2011 (n = 9). A total of 438 patients with a diagnosis of schizophrenia were included (307 with AVHs). Using a random-effects parametric voxel-based meta-analysis, coordinates of 83 foci reported as significant in the source studies were extracted and computed to estimate the brain locations most consistently associated with AVHs.</p><p>Results: Severity of AVHs was significantly associated with GMV reductions in the left (p = .022) and marginally with the right (p = .062) superior temporal gyri (STGs, including Heschl's gyri) across studies examining correlations with AVHs severity in patients (n = 8). Analysis of studies categorically comparing patients with and without AVHs did not reveal any significant findings, possibly due to the small number of studies using this approach (n = 3).</p><p>Conclusions: This meta-analysis implicates bilateral STG (including Heschl's gyri) as key areas of structural pathology in AVHs in schizophrenia. These findings support a model postulating that aberrations within neural systems involved at different levels of language processing are critical to AVHs in schizophrenia. (C) 2012 Elsevier Ltd. All rights reserved.</p>

Detection of visuoperceptual deficits in preclinical and mild Alzheimer's disease

Exhaustive neuropsychological assessment of mild cognitive impairment (MCI) subjects frequently identifies cognitive deficits other than memory. However, visuoperception has rarely been investigated in MCI. The 15-Objects Test (15-OT), a visual discrimination task based on the Poppelreuter Test, consists of 15 overlapping objects. Poppelreuter-type tests are frequently used to detect visual agnosia. However, more complex tests, such as the 15-OT, are required to detect visuoperceptual signs in those patients who perform correctly on simple tests. The aim of the present study was to investigate visuoperceptual deficits in MCI patients and to assess the usefulness of the 15-OT to discriminate Alzheimer’s disease (AD) and MCI patients from controls. The 15-OT, and a neuropsychological battery included in the diagnostic assessment, was administered to 44 healthy controls, 44 MCI patients, and 44 mild AD patients. Performance on the 15-OT was significantly different between groups. MCI scored between AD and controls. When MCI and AD patients had relatively normal performance on simple tests (Poppelreuter), increased significant abnormalities were found by a more difficult visuoperceptual test (15-OT). Regression analyses showed that the 15-OT was a significant predictor of group membership, but the Poppelreuter Test did not significantly contribute to the models. Visuoperceptual processing is impaired early in the clinical course of AD. The 15-OT allows detection of visuoperceptual deficits in the preclinical and mild AD stages, when classical tests are still unable to detect subtle deficits. So, its inclusion in neuropsychological batteries that are nowadays used in the clinical practice would allow increasing their diagnostic potential