Patients with mental disorders exhibit tremendous heterogeneity in terms of clinical manifestation, treatment response and neuroimaging representation. The heterogeneity hampers reaching validated neuroimaging findings for application to clinical diagnosis and treatment. Many attempts have been done to resolve the heterogeneity. In the clinic, patients with mental disorders are clustered into subtypes based on symptom manifestations. The identified subtypes are found to be associated with distinct neural systems and indicative of treatment outcomes. On the other hand, an increasing number of researchers have tried to handle the heterogeneity by identifying subtypes using objective neuroimaging data and even adopting individualized analysis to obtain subject-level neuroimaging aberrance in mental disorders.
In this research topic, we aim to investigate heterogeneity, by identifying potential subtypes with clinical manifestations or objective neuroimaging data, exploring factors affecting treatment response and depicting subject-level neuroimaging aberrance, in mental disorders. We hope this topic could deepen our understanding of heterogeneity and even find potential strategies to handle it in mental disorders. Original research articles, reviews, meta-analyses, protocols and commentaries on existing publications are welcomed.
Potential topics include, but are not limited to, the following:
- Investigating the manifestation of heterogeneity, such as clinical manifestation, illness course, treatment response and comorbidity in mental disorders
- Identifying potential subtypes with indicative of clinical treatment - Proposing promising and novel methods to reveal potential and validated subtypes using the objective index, such as neuroimaging data in mental disorders
- Dimensional analysis of neuroimaging phenotype in mental disorders
- Advanced methodology resolving the heterogeneity in mental disorders (e.g., individualized analysis with respect to traditional case-control designs designed to detect group effects)
Patients with mental disorders exhibit tremendous heterogeneity in terms of clinical manifestation, treatment response and neuroimaging representation. The heterogeneity hampers reaching validated neuroimaging findings for application to clinical diagnosis and treatment. Many attempts have been done to resolve the heterogeneity. In the clinic, patients with mental disorders are clustered into subtypes based on symptom manifestations. The identified subtypes are found to be associated with distinct neural systems and indicative of treatment outcomes. On the other hand, an increasing number of researchers have tried to handle the heterogeneity by identifying subtypes using objective neuroimaging data and even adopting individualized analysis to obtain subject-level neuroimaging aberrance in mental disorders.
In this research topic, we aim to investigate heterogeneity, by identifying potential subtypes with clinical manifestations or objective neuroimaging data, exploring factors affecting treatment response and depicting subject-level neuroimaging aberrance, in mental disorders. We hope this topic could deepen our understanding of heterogeneity and even find potential strategies to handle it in mental disorders. Original research articles, reviews, meta-analyses, protocols and commentaries on existing publications are welcomed.
Potential topics include, but are not limited to, the following:
- Investigating the manifestation of heterogeneity, such as clinical manifestation, illness course, treatment response and comorbidity in mental disorders
- Identifying potential subtypes with indicative of clinical treatment - Proposing promising and novel methods to reveal potential and validated subtypes using the objective index, such as neuroimaging data in mental disorders
- Dimensional analysis of neuroimaging phenotype in mental disorders
- Advanced methodology resolving the heterogeneity in mental disorders (e.g., individualized analysis with respect to traditional case-control designs designed to detect group effects)
