The schizophrenia syndrome, circa 2024: What we know and how that informs its nature
R Tandon, H Nasrallah, S Akbarian… - Schizophrenia …, 2024 - Elsevier
With new data about different aspects of schizophrenia being continually generated, it
becomes necessary to periodically revisit exactly what we know. Along with a need to review …
becomes necessary to periodically revisit exactly what we know. Along with a need to review …
Language as a biomarker for psychosis: a natural language processing approach
Human ratings of conceptual disorganization, poverty of content, referential cohesion and
illogical thinking have been shown to predict psychosis onset in prospective clinical high risk …
illogical thinking have been shown to predict psychosis onset in prospective clinical high risk …
Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction
F Guan, T Ni, W Zhu, LK Williams, LB Cui, M Li… - Molecular …, 2022 - nature.com
Schizophrenia (SCZ) is a debilitating neuropsychiatric disorder with high heritability and
complex inheritance. In the past decade, successful identification of numerous susceptibility …
complex inheritance. In the past decade, successful identification of numerous susceptibility …
Neuroimaging in schizophrenia
Psychotic disorders are mental illnesses characterized by difficulties in reality testing1.
Schizophrenia is a severe and chronic psychotic disorder with a life time prevalence of …
Schizophrenia is a severe and chronic psychotic disorder with a life time prevalence of …
Neurodegenerative model of schizophrenia: Growing evidence to support a revisit
WS Stone, MR Phillips, LH Yang, LS Kegeles… - Schizophrenia …, 2022 - Elsevier
Multidimensional progressive declines in the absence of standard biomarkers for
neurodegeneration are observed commonly in the development of schizophrenia, and are …
neurodegeneration are observed commonly in the development of schizophrenia, and are …
[HTML][HTML] Updating and characterizing neuroanatomical markers in high-risk subjects, recently diagnosed and chronic patients with schizophrenia: A revised coordinate …
Characterizing neuroanatomical markers of different stages of schizophrenia (SZ) to assess
pathophysiological models of how the disorder develops is an important target for the …
pathophysiological models of how the disorder develops is an important target for the …
Subty** schizophrenia patients based on patterns of structural brain alterations
Schizophrenia is a complex and heterogeneous syndrome. Whether quantitative imaging
biomarkers can identify discrete subgroups of patients as might be used to foster …
biomarkers can identify discrete subgroups of patients as might be used to foster …
The temporal dynamics of transition to psychosis in individuals at clinical high-risk (CHR-P) shows negative prognostic effects of baseline antipsychotic exposure: a …
Meta-analytic evidence indicates that baseline exposure to antipsychotics (AP) in individuals
at clinical high-risk for psychosis (CHR-P) is associated with an even higher risk of transition …
at clinical high-risk for psychosis (CHR-P) is associated with an even higher risk of transition …
How machine learning is powering neuroimaging to improve brain health
This report presents an overview of how machine learning is rapidly advancing clinical
translational imaging in ways that will aid in the early detection, prediction, and treatment of …
translational imaging in ways that will aid in the early detection, prediction, and treatment of …
Schizophrenia: a narrative review of etiopathogenetic, diagnostic and treatment aspects
L Orsolini, S Pompili, U Volpe - Journal of Clinical Medicine, 2022 - mdpi.com
Although schizophrenia is currently conceptualized as being characterized as a syndrome
that includes a collection of signs and symptoms, there is strong evidence of heterogeneous …
that includes a collection of signs and symptoms, there is strong evidence of heterogeneous …