Narrative identity in the psychosis spectrum: a systematic review and developmental model

HR Cowan, VA Mittal, DP McAdams - Clinical psychology review, 2021 - Elsevier
Individuals with schizophrenia-spectrum disorders face profound challenges as they attempt
to maintain identity through the course of illness. Narrative identity—the study of internalized …

Systematic review of functional MRI applications for psychiatric disease subtyping

L Miranda, R Paul, B Pütz, N Koutsouleris… - Frontiers in …, 2021 - frontiersin.org
Background: Psychiatric disorders have been historically classified using symptom
information alone. Recently, there has been a dramatic increase in research interest not only …

Subtyping schizophrenia patients based on patterns of structural brain alterations

Y Xiao, W Liao, Z Long, B Tao, Q Zhao… - Schizophrenia …, 2022 - academic.oup.com
Schizophrenia is a complex and heterogeneous syndrome. Whether quantitative imaging
biomarkers can identify discrete subgroups of patients as might be used to foster …

Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance

SC Page, SR Sripathy, F Farinelli… - Proceedings of the …, 2022 - National Acad Sciences
Neurons derived from human induced pluripotent stem cells (hiPSCs) have been used to
model basic cellular aspects of neuropsychiatric disorders, but the relationship between the …

[HTML][HTML] Neurobiological divergence of the positive and negative schizophrenia subtypes identified on a new factor structure of psychopathology using non-negative …

J Chen, KR Patil, S Weis, K Sim, T Nickl-Jockschat… - Biological …, 2020 - Elsevier
Background Disentangling psychopathological heterogeneity in schizophrenia is
challenging, and previous results remain inconclusive. We employed advanced machine …

Rationale for adjunctive treatment targeting multiple mechanisms in schizophrenia

BJ Kinon, S Leucht, C Tamminga, A Breier… - The Journal of …, 2024 - psychiatrist.com
Importance: Schizophrenia is a complex syndrome with taxing symptoms and for which
treatment challenges remain. Current dopamine D 2 receptor–blocking antipsychotics have …

Improving individual predictions: machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases)

HG Schnack - Schizophrenia research, 2019 - Elsevier
Psychiatric diseases are very heterogeneous both in clinical manifestation and etiology.
With the recent rise of using machine learning techniques to attempt to diagnose and …

An investigation of psychosis subgroups with prognostic validation and exploration of genetic underpinnings: the PsyCourse study

DB Dwyer, JL Kalman, M Budde, J Kambeitz… - JAMA …, 2020 - jamanetwork.com
Importance Identifying psychosis subgroups could improve clinical and research precision.
Research has focused on symptom subgroups, but there is a need to consider a broader …

Identification of transdiagnostic psychiatric disorder subtypes using unsupervised learning

H Pelin, M Ising, F Stein, S Meinert, T Meller… - …, 2021 - nature.com
Psychiatric disorders show heterogeneous symptoms and trajectories, with current nosology
not accurately reflecting their molecular etiology and the variability and symptomatic overlap …

Schizophrenia is associated with altered DNA methylation variance

DJ Kiltschewskij, WR Reay, MJ Cairns - Molecular Psychiatry, 2024 - nature.com
Varying combinations of genetic and environmental risk factors are thought to underpin
phenotypic heterogeneity between individuals in psychiatric conditions such as …