Dataset Information

Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis.

ABSTRACT:

Background

Neuroanatomical abnormalities in first-episode psychosis (FEP) tend to be subtle and widespread. The vast majority of previous studies have used small samples, and therefore may have been underpowered. In addition, most studies have examined participants at a single research site, and therefore the results may be specific to the local sample investigated. Consequently, the findings reported in the existing literature are highly heterogeneous. This study aimed to overcome these issues by testing for neuroanatomical abnormalities in individuals with FEP that are expressed consistently across several independent samples.

Methods

Structural Magnetic Resonance Imaging data were acquired from a total of 572 FEP and 502 age and gender comparable healthy controls at five sites. Voxel-based morphometry was used to investigate differences in grey matter volume (GMV) between the two groups. Statistical inferences were made at p < 0.05 after family-wise error correction for multiple comparisons.

Results

FEP showed a widespread pattern of decreased GMV in fronto-temporal, insular and occipital regions bilaterally; these decreases were not dependent on anti-psychotic medication. The region with the most pronounced decrease - gyrus rectus - was negatively correlated with the severity of positive and negative symptoms.

Conclusions

This study identified a consistent pattern of fronto-temporal, insular and occipital abnormalities in five independent FEP samples; furthermore, the extent of these alterations is dependent on the severity of symptoms and duration of illness. This provides evidence for reliable neuroanatomical alternations in FEP, expressed above and beyond site-related differences in anti-psychotic medication, scanning parameters and recruitment criteria.

SUBMITTER: Vieira S

PROVIDER: S-EPMC7116792 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis.

Vieira Sandra S Gong Qiyong Q Scarpazza Cristina C Lui Su S Huang Xiaoqi X Crespo-Facorro Benedicto B Tordesillas-Gutierrez Diana D de la Foz Víctor Ortiz-García VO Setien-Suero Esther E Scheepers Floor F van Haren Neeltje E M NEM Kahn René R Reis Marques Tiago T Ciufolini Simone S Di Forti Marta M Murray Robin M RM David Anthony A Dazzan Paola P McGuire Philip P Mechelli Andrea A

Psychological medicine 20191220 2

<h4>Background</h4>Neuroanatomical abnormalities in first-episode psychosis (FEP) tend to be subtle and widespread. The vast majority of previous studies have used small samples, and therefore may have been underpowered. In addition, most studies have examined participants at a single research site, and therefore the results may be specific to the local sample investigated. Consequently, the findings reported in the existing literature are highly heterogeneous. This study aimed to overcome these ...[more]

PMID: 31858920

Similar Datasets

Project description:ImportanceIndividuals presenting with first-episode psychosis (FEP) may have a secondary ("organic") etiology to their symptoms that can be identified using neuroimaging. Because failure to detect such cases at an early stage can have serious clinical consequences, it has been suggested that brain magnetic resonance imaging (MRI) should be mandatory for all patients presenting with FEP. However, this remains a controversial issue, partly because the prevalence of clinically relevant MRI abnormalities in this group is unclear.ObjectiveTo derive a meta-analytic estimate of the prevalence of clinically relevant neuroradiological abnormalities in FEP.Data sourcesElectronic databases Ovid, MEDLINE, PubMed, Embase, PsychINFO, and Global Health were searched up to July 2021. References and citations of included articles and review articles were also searched.Study selectionMagnetic resonance imaging studies of patients with FEP were included if they reported the frequency of intracranial radiological abnormalities.Data extraction and synthesisIndependent extraction was undertaken by 3 researchers and a random-effects meta-analysis of pooled proportions was calculated. Moderators were tested using subgroup and meta-regression analyses. Heterogeneity was evaluated using the I2 index. The robustness of results was evaluated using sensitivity analyses. Publication bias was assessed using funnel plots and Egger tests.Main outcomes and measuresProportion of patients with a clinically relevant radiological abnormality (defined as a change in clinical management or diagnosis); number of patients needed to scan to detect 1 such abnormality (number needed to assess [NNA]).ResultsTwelve independent studies (13 samples) comprising 1613 patients with FEP were included. Of these patients, 26.4% (95% CI, 16.3%-37.9%; NNA of 4) had an intracranial radiological abnormality, and 5.9% (95% CI, 3.2%-9.0%) had a clinically relevant abnormality, yielding an NNA of 18. There were high degrees of heterogeneity among the studies for these outcomes, 95% to 73%, respectively. The most common type of clinically relevant finding was white matter abnormalities, with a prevalence of 0.9% (95% CI, 0%-2.8%), followed by cysts, with a prevalence of 0.5% (95% CI, 0%-1.4%).Conclusions and relevanceThis systematic review and meta-analysis found that 5.9% of patients presenting with a first episode of psychosis had a clinically relevant finding on MRI. Because the consequences of not detecting these abnormalities can be serious, these findings support the use of MRI as part of the initial clinical assessment of all patients with FEP.

Dataset Information

Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis.

Background

Methods

Results

Conclusions

Publications

Neuroanatomical abnormalities in first-episode psychosis across independent samples: a multi-centre mega-analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets