Publications by authors named "Spaniel F"

Schizophrenia, a severe psychiatric, neurodevelopmental disorder affecting about 0.29-1 % of the global population, is characterized by hallucinations, delusions, cognitive impairments, disorganized thoughts and speech, leading to significant social withdrawal and emotional blunting. During the 1980s, considerations about diseases that result from complex interactions of genetic background and environmental factors started to appear.

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Individuals recovering from COVID-19 may experience persistent impairment in verbal memory performance, potentially due to illness-related hippocampal injury. Although verbal memory dysfunction is central to schizophrenia, the interactions between this vulnerability and COVID-19 remain unclear, with no imaging studies addressing the issue to-date. To explore this gap and generate hypotheses for future research, we adopted a multiple case study approach.

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Enlarged perivascular spaces (EPVS) are increasingly recognized as an MRI detectable feature of neuroinflammatory processes and age-related neurodegenerative changes. Understanding perivascular characteristics in healthy individuals is crucial for their applicability as a reference for pathological changes. Limited data exists on the EPVS load and interhemispheric asymmetry in distribution among young healthy subjects.

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Background: We need to better understand the risk factors and predictors of medication-related weight gain to improve metabolic health of individuals with schizophrenia. This study explores how trajectories of antipsychotic medication (AP) use impact body weight early in the course of schizophrenia.

Methods: We recruited 92 participants with first-episode psychosis (FEP,  = 92) during their first psychiatric hospitalization.

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Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15-90. The effects of dementia, mild cognitive impairment, Parkinson's disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals.

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Article Synopsis
  • This study used machine learning to classify subtypes of schizophrenia by analyzing brain images from over 4,000 patients and healthy individuals through international collaboration.* -
  • Researchers identified two neurostructural subgroups: one with predominant cortical loss and enlarged striatum, and another with significant subcortical loss in areas like the hippocampus and striatum.* -
  • The findings suggest this new imaging-based classification could redefine schizophrenia based on biological similarities, enhancing our understanding and treatment of the disorder.*
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Background: Lateral ventricular enlargement represents a canonical morphometric finding in chronic patients with schizophrenia; however, longitudinal studies elucidating complex dynamic trajectories of ventricular volume change during critical early disease stages are sparse.

Methods: We measured lateral ventricular volumes in 113 first-episode schizophrenia patients (FES) at baseline visit (11.7 months after illness onset, SD = 12.

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  • * This large-scale study analyzed MRI scans from over 2,000 schizophrenia patients and 2,800 healthy controls to assess brain volume and microstructural integrity, using advanced modeling techniques.
  • * Results showed that aggressive behavior was significantly associated with reduced cortical and white matter volumes, particularly in key brain areas, suggesting a direct neurological link to aggression in schizophrenia patients.
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  • Schizophrenia is characterized by significant changes in brain structure, but it's not clear if these changes relate to the brain's network organization.
  • Researchers analyzed MRI scans from nearly 2,500 people with schizophrenia alongside healthy controls to see how structural changes connect to brain networks.
  • The study found that certain regions in the brain that are crucial for connectivity are more affected in schizophrenia, indicating a link between brain network vulnerability and the disease's impact, with some similarities to bipolar disorder but not major depressive disorder.
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  • Negative symptoms in schizophrenia negatively impact social and occupational outcomes, and this study aimed to identify baseline predictors of these symptoms measured four years later in first-episode patients.* -
  • The analysis of 77 patients found that the duration of untreated psychosis (DUP) and severity of negative symptoms at the initial visit were significant predictors of later severity, with longer DUP correlating strongly with increased negative symptoms.* -
  • The findings emphasize the importance of early intervention in schizophrenia, as prolonged DUP is linked to worsening negative symptoms, highlighting the need for preventive measures in clinical practice.*
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  • The study explores the structural brain differences in individuals with schizophrenia compared to healthy controls, focusing on various brain metrics like cortical thickness and subcortical volume using a large international dataset.
  • Results show that people with schizophrenia have greater variability in brain structure, particularly in the frontotemporal regions, suggesting distinct subtypes of the disorder may exist.
  • The findings highlight the significance of understanding brain structure variability to improve knowledge of schizophrenia and help identify potential biomarkers for the illness.
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Machine learning can be used to define subtypes of psychiatric conditions based on shared clinical and biological foundations, presenting a crucial step toward establishing biologically based subtypes of mental disorders. With the goal of identifying subtypes of disease progression in schizophrenia, here we analyzed cross-sectional brain structural magnetic resonance imaging (MRI) data from 4,291 individuals with schizophrenia (1,709 females, age=32.5 years±11.

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Background: The main aim of the present study is to determine the role of metabolites observed using proton magnetic resonance spectroscopy (1H-MRS) in obsessive-compulsive disorder (OCD). As the literature describing biochemical changes in OCD yields conflicting results, we focused on accurate metabolite quantification of total N-acetyl aspartate (tNAA), total creatine (tCr), total choline-containing compounds (tCh), and myo-inositol (mI) in the anterior cingulate cortex (ACC) to capture the small metabolic changes between OCD patients and controls and between OCD patients with and without medication.

Methods: In total 46 patients with OCD and 46 healthy controls (HC) matched for age and sex were included in the study.

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In this study, we aimed to determine whether childhood trauma moderated the relationship between inflammation and cognitive functioning in persons with first-episode schizophrenia spectrum disorders (SSDs). We included data from 92 individuals who participated in the nationwide Early-Stage Schizophrenia Outcome study. These individuals completed the Childhood Trauma Questionnaire, provided a fasting blood sample for high-sensitivity C-reactive protein analysis, and underwent extensive neuropsychological testing.

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Converging evidence suggests that schizophrenia (SZ) with primary, enduring negative symptoms (i.e., Deficit SZ (DSZ)) represents a distinct entity within the SZ spectrum while the neurobiological underpinnings remain undetermined.

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Background: The most common causes of death in schizophrenia are cardiovascular disorders, which are closely related to metabolic syndrome/obesity. To better understand the development of metabolic alterations early in the course of illness, we quantified daily medication exposure in the first days of the first hospitalization for psychosis and related it to changes in weight and metabolic markers.

Study Design: We recruited participants with first episode psychosis (FEP, N = 173) during their first psychiatric hospitalization and compared them to controls (N = 204).

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Article Synopsis
  • The study looked at how the brain's left and right sides might differ in people with schizophrenia compared to those without it, using brain scans from over 5,000 patients and 6,000 control subjects.
  • Researchers found that people with schizophrenia had slightly thinner areas in the left side of their brains, especially in certain regions, compared to those without the disorder.
  • The differences in brain structure might be linked to how schizophrenia affects brain functions, like language, but more research is needed to understand why they happen.
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  • Researchers in neuroscience are using Big Data to improve the reliability and replication of cognitive studies, focusing on memory testing.
  • They conducted a mega-analysis with data from 53 studies, involving over 10,500 individuals, employing methods to harmonize data and reduce variability across different sites.
  • Their findings show that large-scale data sharing can enhance the reproducibility of research in behavioral sciences, and they offer a free conversion tool for this purpose.
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Cortical folding of the anterior cingulate cortex (ACC), particularly the cingulate (CS) and the paracingulate (PCS) sulci, represents a neurodevelopmental marker. Deviations in in utero development in schizophrenia can be traced using CS and PCS morphometry. In the present study, we measured the length of CS, PCS, and their segments on T1 MRI scans in 93 patients with first- episode schizophrenia and 42 healthy controls.

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  • Schizophrenia can make the brain age faster, leading to more cognitive problems and health issues.
  • A study looked at brain scans of 2,803 people with schizophrenia and 2,598 healthy people to see how much older their brains looked compared to their actual ages.
  • The results showed that people with schizophrenia had brains that looked about 3.55 years older than they should be, but this wasn’t linked to how long they had the illness or how severe their symptoms were.
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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.

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The human brain represents a complex computational system, the function and structure of which may be measured using various neuroimaging techniques focusing on separate properties of the brain tissue and activity. We capture the organization of white matter fibers acquired by diffusion-weighted imaging using probabilistic diffusion tractography. By segmenting the results of tractography into larger anatomical units, it is possible to draw inferences about the structural relationships between these parts of the system.

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Schizophrenia is frequently associated with obesity, which is linked with neurostructural alterations. Yet, we do not understand how the brain correlates of obesity map onto the brain changes in schizophrenia. We obtained MRI-derived brain cortical and subcortical measures and body mass index (BMI) from 1260 individuals with schizophrenia and 1761 controls from 12 independent research sites within the ENIGMA-Schizophrenia Working Group.

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