Defining negative symptoms remission in schizophrenia using the Brief Negative Symptom Scale

Rekhi, Gurpreet; Ang, Mei San; Chan, Yiong Huak; Fernández-Egea, Emilio; Kirkpatrick, Brian; Lee, Jimmy

doi:10.1016/j.rpsm.2021.05.003

Revista de Psiquiatría y Salud Mental

2022

DOI: 10.1016/j.rpsm.2021.05.003

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Defining negative symptoms remission in schizophrenia using the Brief Negative Symptom Scale

Gurpreet Rekhi

Mei San Ang

Yiong Huak Chan

et al.

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Cited by 5 publications

(2 citation statements)

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“…3 This is important, because negative symptoms have been shown to better predict psychosocial functioning. 4 A few studies have explored potential trajectories of negative symptoms in people with FEP by combining data covering extensive follow-up periods with statistical approaches capable of coping with unobserved trajectories, such as the latent growth mixture modelling (LGMM). LGMM has been a progress in trajectory analysis since this approach allows identification of classes of individuals characterised by different multivariate normal distribution.…”

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Longitudinal trajectories in negative symptoms and changes in brain cortical thickness: 10-year follow-up study

et al. 2023

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Background Understanding the evolution of negative symptoms in first-episode psychosis (FEP) requires long-term longitudinal study designs that capture the progression of this condition and the associated brain changes. Aims To explore the factors underlying negative symptoms and their association with long-term abnormal brain trajectories. Method We followed up 357 people with FEP over a 10-year period. Factor analyses were conducted to explore negative symptom dimensionality. Latent growth mixture modelling (LGMM) was used to identify the latent classes. Analysis of variance (ANOVA) was conducted to investigate developmental trajectories of cortical thickness. Finally, the resulting ANOVA maps were correlated with a wide set of regional molecular profiles derived from public databases. Results Three trajectories (stable, decreasing and increasing) were found in each of the three factors (expressivity, experiential and attention) identified by the factor analyses. Patients with an increasing trajectory in the expressivity factor showed cortical thinning in caudal middle frontal, pars triangularis, rostral middle frontal and superior frontal regions from the third to the tenth year after the onset of the psychotic disorder. The F-statistic map of cortical thickness expressivity differences was associated with a receptor density map derived from positron emission tomography data. Conclusions Stable and decreasing were the most common trajectories. Additionally, cortical thickness abnormalities found at relatively late stages of FEP onset could be exploited as a biomarker of poor symptom outcome in the expressivity dimension. Finally, the brain areas with less density of receptors spatially overlap areas that discriminate the trajectories of the expressivity dimension.

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“… 3 This is important, because negative symptoms have been shown to better predict psychosocial functioning. 4 …”

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confidence: 99%

Longitudinal trajectories in negative symptoms and changes in brain cortical thickness: 10-year follow-up study

et al. 2023

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Social functioning mediated the relationship between childhood emotional neglect and cognitive deficits in patients with schizophrenia

Zhong,

Cheng,

Liu

et al. 2025

Child Abuse & Neglect

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Fundamental Frequency of the Voice in Schizophrenia and Its Value as a Biomarker of the Disease

Martínez-Cano,

de la Sacristana,

Martín-Conty

et al. 2024

Journal of Voice

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Defining negative symptoms remission in schizophrenia using the Brief Negative Symptom Scale

Cited by 5 publications

References 65 publications

Longitudinal trajectories in negative symptoms and changes in brain cortical thickness: 10-year follow-up study

Longitudinal trajectories in negative symptoms and changes in brain cortical thickness: 10-year follow-up study

Social functioning mediated the relationship between childhood emotional neglect and cognitive deficits in patients with schizophrenia

Fundamental Frequency of the Voice in Schizophrenia and Its Value as a Biomarker of the Disease

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