The Core Deficit of “Classical” Schizophrenia Cuts Across the Psychosis Spectrum

Keshavan, Matcheri S.; Kelly, Sinéad; Hall, Mei‐Hua

doi:10.1177/0706743719898911

Cited by 5 publications

(6 citation statements)

References 36 publications

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“…The results of the studies analyzed in this systematic review illustrate the importance of understanding neurocognitive deficits and neurobiological markers across the spectrum of psychotic disorders. The final outcome of the study conducted by researchers [60], as detailed in the document, emphasizes the importance of understanding cognitive impairments and neurobiological markers within psychotic disorders. The study highlights the diagnostic and prognostic significance of mismatch negativity (MMN) as a neurophysiological marker, which correlates with cognitive impairments and functional outcomes in psychosis.…”

Section: Resultsmentioning

confidence: 99%

Aspects of Clinical Neuropsychology Related to the Psychotic Spectrum. A Comprehensive Systematic Review

Gkintoni,

Skokou,

Gourzis

2024

Preprint

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This systematic review provides a comprehensive neuropsychological analysis of psychotic spectrum disorders, including schizophrenia, bipolar disorder, and depression. It explores cognitive impairments in memory, attention, and executive function, and the relation between brain abnormalities and these deficits. The paper emphasizes the use of neuropsychological tests in diagnosis and early psychosis management, while also discussing interventions, the impact of dementia on psychosis, and the neurobiological patterns associated with these conditions. Additionally, it underlines the importance of childhood trauma in the development of psychosis and examines the effects of substance abuse and brain injury. Neuropsychological evaluations and targeted therapies are highlighted as crucial for the understanding, diagnosis, and treatment of psychotic disorders. The research further includes evidence of neurocognitive dysfunction in individuals with a high risk of psychosis and emphasizes the advanced brain aging in schizophrenia and bipolar disorder. The necessity of comprehensive clinical evaluations and targeted therapies for cognitive impairments is underscored throughout the research. The potential effects of dementia on individuals with psychosis, neurobiological patterns, the role of childhood trauma, the impact of psychosis in dementia patients, and proposed treatments are also explored in depth. Overall, the paper underscores the integral role neuropsychological knowledge plays in understanding, diagnosing, managing, and treating psychotic spectrum disorders.

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Section: Resultsmentioning

confidence: 99%

Aspects of Clinical Neuropsychology Related to the Psychotic Spectrum. A Comprehensive Systematic Review

Gkintoni,

Skokou,

Gourzis

2024

Preprint

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“…Studies [32,60,62,[64][65][66][67][68]72,74,78,80,81,90,[94][95][96][98][99][100][101][102] delve into cognitive impairments, brain structure changes, and neurobiological markers. Key findings include the diagnostic and prognostic significance of mismatch negativity (MMN), neuroprogressive trajectories, cortical thinning in familial high-risk individuals, and distinct illness trajectories within psychosis subgroups.…”

Section: Rq1: Cognitive Impairments and Brain Abnormalitiesmentioning

confidence: 99%

“…Studies [60,62,[64][65][66][67][68]72,74,78,80,81,90,[94][95][96][98][99][100][101][102] evaluate intervention strategies, emphasizing early detection, monitoring of at-risk youth, and the potential for individualized treatments based on neuroprogressive patterns.…”

Section: Rq3: Effectiveness Of Intervention Strategiesmentioning

confidence: 99%

Integrating Clinical Neuropsychology and Psychotic Spectrum Disorders: A Systematic Analysis of Cognitive Dynamics, Interventions, and Underlying Mechanisms

Gkintoni,

Skokou,

Gourzis

2024

Medicina

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Background and Objectives: The study aims to provide a comprehensive neuropsychological analysis of psychotic spectrum disorders, including schizophrenia, bipolar disorder, and depression. It focuses on the critical aspects of cognitive impairments, diagnostic tools, intervention efficacy, and the roles of genetic and environmental factors in these disorders. The paper emphasizes the diagnostic significance of neuropsychological tests in identifying cognitive deficiencies and their predictive value in the early management of psychosis. Materials and Methods: The study involved a systematic literature review following the PRISMA guidelines. The search was conducted in significant databases like Scopus, PsycINFO, PubMed, and Web of Science using keywords relevant to clinical neuropsychology and psychotic spectrum disorders. The inclusion criteria required articles to be in English, published between 2018 and 2023, and pertinent to clinical neuropsychology’s application in these disorders. A total of 153 articles were identified, with 44 ultimately included for detailed analysis based on relevance and publication status after screening. Results: The review highlights several key findings, including the diagnostic and prognostic significance of mismatch negativity, neuroprogressive trajectories, cortical thinning in familial high-risk individuals, and distinct illness trajectories within psychosis subgroups. The studies evaluated underline the role of neuropsychological tests in diagnosing psychiatric disorders and emphasize early detection and the effectiveness of intervention strategies based on cognitive and neurobiological markers. Conclusions: The systematic review underscores the importance of investigating the neuropsychological components of psychotic spectrum disorders. It identifies significant cognitive impairments in attention, memory, and executive function, correlating with structural and functional brain abnormalities. The paper stresses the need for precise diagnoses and personalized treatment modalities, highlighting the complex interplay between genetic, environmental, and psychosocial factors. It calls for a deeper understanding of these neuropsychological processes to enhance diagnostic accuracy and therapeutic outcomes.

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“…Cognition-related biomarkers also generated the most promising endophenotypes, primarily for Biotype-1 (about a quarter of the B-SNIP sample [3]). Deviation in cognitive functions are traditionally linked to SZ-like psychoses, but they clearly extend to other psychosis syndromes [63][64][65][66][67] as well as to syndromes with genetic and phenotypic overlap with the psychoses [68][69][70]. In addition, cognitive ability, when left untreated, maybe the best predictor of course and functional outcomes across the psychoses [71,72].…”

Section: Basic Neuro-cognitive Continuum (Bancc)mentioning

confidence: 99%

“…McTeague et al [68,73] draw the reasonable conclusion that there is a transdiagnostic latent feature accounting for a broad vulnerability to serious psychiatric syndromes, and this latent feature is indexed by common and broad neurobiological measures of cognition, brain structure, and neural function. Understanding the ubiquitous nature of these inter-related neurobiological features may offer an opportunity for appreciating a dimensional vulnerability for serious psychopathology that does not respect conventional clinical diagnostic boundaries [67,68,74,75].…”

Section: Basic Neuro-cognitive Continuum (Bancc)mentioning

confidence: 99%

Biotyping in psychosis: using multiple computational approaches with one data set

Tamminga

Clementz

Pearlson

et al. 2020

Neuropsychopharmacol.

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Focusing on biomarker identification and using biomarkers individually or in clusters to define biological subgroups in psychiatry requires a re-orientation from behavioral phenomenology to quantifying brain features, requiring big data approaches for data integration. Much still needs to be accomplished, not only to refine but also to build support for the application and customization of such an analytical phenotypic approach. In this review, we present some of what Bipolar-Schizophrenia Network for Intermediate Phenotypes (B-SNIP) has learned so far to guide future applications of multivariate phenotyping and their analyses to understanding psychosis. This paper describes several B-SNIP projects that use phenotype data and big data computations to generate novel outcomes and glimpse what phenotypes contribute to disease understanding and, with aspiration, to treatment. The source of the phenotypes varies from genetic data, structural neuroanatomic localization, immune markers, brain physiology, and cognition. We aim to see guiding principles emerge and areas of commonality revealed. And, we will need to demonstrate not only data stability but also the usefulness of biomarker information for subgroup identification enhancing target identification and treatment development.

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The Core Deficit of “Classical” Schizophrenia Cuts Across the Psychosis Spectrum

Cited by 5 publications

References 36 publications

Aspects of Clinical Neuropsychology Related to the Psychotic Spectrum. A Comprehensive Systematic Review

Aspects of Clinical Neuropsychology Related to the Psychotic Spectrum. A Comprehensive Systematic Review

Integrating Clinical Neuropsychology and Psychotic Spectrum Disorders: A Systematic Analysis of Cognitive Dynamics, Interventions, and Underlying Mechanisms

Biotyping in psychosis: using multiple computational approaches with one data set

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