From co-morbidity to transdiagnostic potential and novel immunotherapies for psychosis DOI Creative Commons
Rachel Upthegrove

Psychiatry Research, Год журнала: 2022, Номер 317, С. 114866 - 114866

Опубликована: Сен. 29, 2022

One of my first placements in psychiatry training was with the early intervention psychosis services Birmingham, late 1990's. It this context that I became aware frequency and importance affective co- modbidity lack diagnostic certianty stages develping severe mental illness. This challenged established dichotomy between non-affective illnesses, has driven work thinking ever since- including embracing presence symptoms schizophrenia may open door for new treatments. Understanding dysfunction as a potential intrisic component developing psychotic disorders also shown transdiagnostic shared underlying biological processess, immune dysfunction, related to remission functional outcomes. Currently focuses on targeting system improve recovery clinical trials, further mechanistic studies reach beyond traditional catagories.

Язык: Английский

Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis DOI Creative Commons
Cassandra Wannan, Barnaby Nelson, Jean Addington

и другие.

Schizophrenia Bulletin, Год журнала: 2024, Номер 50(3), С. 496 - 512

Опубликована: Март 7, 2024

Abstract This article describes the rationale, aims, and methodology of Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ). is largest international collaboration to date that will develop algorithms predict trajectories outcomes individuals at clinical high risk (CHR) for psychosis advance development use novel pharmacological interventions CHR individuals. We present a description participating research networks data processing analysis coordination center, their processes harmonization across 43 sites from 13 countries (recruitment North America, Australia, Europe, Asia, South America), flow quality assessment processes, analyses, transfer National Institute Mental Health (NIMH) Data Archive (NDA) by community. In an expected sample approximately 2000 640 matched healthy controls, AMP SCZ collect clinical, environmental, cognitive along with multimodal biomarkers, including neuroimaging, electrophysiology, fluid biospecimens, speech facial expression samples, measures derived digital health technologies smartphone-based daily surveys, passive sensing as well actigraphy. The study investigate range over 2-year period, transition psychosis, remission or persistence status, attenuated positive symptoms, persistent negative mood anxiety psychosocial functioning. global reach its harmonized innovative methods promise catalyze new treatments address critical unmet public needs in

Язык: Английский

Процитировано

22
Restoring the missing person to personalized medicine and precision psychiatry DOI Creative Commons
Ana Gómez-Carrillo, Vincent Paquin, Guillaume Dumas

и другие.

Frontiers in Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Фев. 9, 2023

Precision psychiatry has emerged as part of the shift to personalized medicine and builds on frameworks such U.S. National Institute Mental Health Research Domain Criteria (RDoC), multilevel biological “omics” data and, most recently, computational psychiatry. The is prompted by realization that a one-size-fits all approach inadequate guide clinical care because people differ in ways are not captured broad diagnostic categories. One first steps developing this treatment was use genetic markers pharmacotherapeutics based predictions pharmacological response or non-response, potential risk adverse drug reactions. Advances technology have made greater degree specificity precision potentially more attainable. To date, however, search for largely focused parameters. Psychiatric disorders involve multi-level dynamics require measures phenomenological, psychological, behavioral, social structural, cultural dimensions. This points need develop fine-grained analyses experience, self-construal, illness narratives, interpersonal interactional dynamics, contexts determinants health. In paper, we review limitations arguing it cannot reach its goal if does include core elements processes give rise psychopathological states, which agency experience person. Drawing from contemporary systems biology, epidemiology, developmental psychology, cognitive science, propose cultural-ecosocial integrating with person-centered care.

Язык: Английский

Процитировано

28
Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo DOI Creative Commons
Cynthia H.Y. Fu, Mathilde Antoniades, Güray Erus

и другие.

Nature Mental Health, Год журнала: 2024, Номер 2(2), С. 164 - 176

Опубликована: Янв. 12, 2024

Major depressive disorder (MDD) is a heterogeneous clinical syndrome with widespread subtle neuroanatomical correlates. Our objective was to identify the dimensions that characterize MDD and predict treatment response selective serotonin reuptake inhibitor (SSRI) antidepressants or placebo. In COORDINATE-MDD consortium, raw MRI data were shared from international samples (

Язык: Английский

Процитировано

11
Transcriptomic Similarity Informs Neuromorphic Deviations in Depression Biotypes DOI
Jiao Li, Zhiliang Long, Wei Sheng

и другие.

Biological Psychiatry, Год журнала: 2023, Номер 95(5), С. 414 - 425

Опубликована: Авг. 10, 2023

Язык: Английский

Процитировано

15
Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning DOI
Junhao Wen, Mathilde Antoniades, Zhijian Yang

и другие.

Biological Psychiatry, Год журнала: 2024, Номер 96(7), С. 564 - 584

Опубликована: Май 6, 2024

Язык: Английский

Процитировано

5
Heterogeneity in treatment outcomes and incomplete recovery in first episode psychosis: does one size fit all? DOI Creative Commons
Siân Lowri Griffiths, Paris Alexandros Lalousis, Stephen J. Wood

и другие.

Translational Psychiatry, Год журнала: 2022, Номер 12(1)

Опубликована: Ноя. 17, 2022

Abstract The heterogeneity in recovery outcomes for individuals with First Episode Psychosis (FEP) calls a strong evidence base to inform practice at an individual level. Between 19–89% of young people FEP have incomplete despite gold-standard evidence-based treatments, suggesting current service models, which adopt ‘one-size fits all’ approach, may not be addressing the needs many psychosis. lack consistent terminology define key concepts such as and treatment resistance, multidimensional nature these concepts, common comorbid symptoms are some challenges faced by field delineating outcomes. robust markers also results potential delay delivering prompt, effective treatments greatest risk. There is clear need stratified approach care where interventions targeted subgroups patients, ultimately Novel machine learning, using large, representative data from range modalities, aid parsing heterogeneity, provide greater precision sophistication identifying those on pathway recovery.

Язык: Английский

Процитировано

19
Transdiagnostic structural neuroimaging features in depression and psychosis: A systematic review DOI Creative Commons
Paris Alexandros Lalousis, Stephen J. Wood, Renate Reniers

и другие.

NeuroImage Clinical, Год журнала: 2023, Номер 38, С. 103388 - 103388

Опубликована: Янв. 1, 2023

Previous research suggests that there may be similarities in structural brain changes seen patients with depression and psychosis compared to healthy controls. However, is yet no systematic review collating studies comparing psychosis. Establishing shared specific neuroanatomical features could aid the investigation of underlying biological processes. To identify neuroimaging differences between We searched PubMed, PsychInfo, Embase, NICE Evidence, Medline Cochrane Library were from inception 30/06/2021 using relevant subject headings (controlled vocabularies) search syntax. Papers assessed for quality Newcastle-Ottawa Scale. Five-hundred twenty papers retrieved, seven met inclusion criteria. In narrative collation results, grey matter volume (GMV) reductions found medial frontal gyrus (MFG), hippocampus left-sided posterior subgenual prefrontal cortex both depression. GMV affected more regions psychosis, including insula thalamus. White (WMV) decline was Reduced fractional anisotropy (FA) commonly Our results suggest potential transdiagnostic patterns WMV areas MFG, hippocampus, cortex. These investigated as a future biomarker signature across mental illnesses. due limited number poor large samples harmonised imaging data first needed.

Язык: Английский

Процитировано

11
Advancing transdiagnostic data analytics using knowledge graphs DOI Creative Commons

Fiona Klaassen,

Emanuel Schwarz

Biomarkers in Neuropsychiatry, Год журнала: 2025, Номер 12, С. 100122 - 100122

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
The Psychosis MRIShared Data Resource (Psy‐ShareD) DOI Creative Commons
Paul Allen,

Mariana Zurita,

Rubaida Easmin

и другие.

Human Brain Mapping, Год журнала: 2025, Номер 46(3)

Опубликована: Фев. 15, 2025

ABSTRACT Neuroimaging research in the field of schizophrenia and other psychotic disorders has sought to investigate neuroanatomical markers, relative healthy control groups. In recent decades, a large number structural magnetic resonance imaging (MRI) studies have been funded undertaken, but their small sample sizes heterogeneous methods led inconsistencies across findings. To tackle this, efforts made combine datasets sites. While notable multicentre initiatives resulting meta‐ mega‐analytical outputs progressed field, generally restricted MRI scans one or two illness stages, often overlook patient heterogeneity, study populations rarely globally representative diversity patients who experience psychosis. Furthermore, access these is consortia members can contribute data, likely from institutions located high‐income countries. The Psychosis Shared Data Resource (Psy‐ShareD) new open data sharing partnership that will host pre‐existing T1‐weighted collected multiple sites worldwide, including Global South. T1 included Psy‐ShareD be available image feature‐level formats, having harmonised using state‐of‐the‐art approaches. All linked demographic illness‐related (diagnosis, symptoms, medication status) measures, datasets, IQ cognitive history also available, allowing subgroup dimensional analyses. free‐to‐access for all researchers. Importantly, comprehensive catalogues, scientific support training resources facilitate use by early career researchers build capacity field. We are actively seeking collaborators further data. Collaborators benefit terms authorships, as publications arising include contributors authors.

Язык: Английский

Процитировано

0
Major depressive disorder on a neuromorphic continuum DOI Creative Commons
Jiao Li, Zhiliang Long, Gong‐Jun Ji

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Март 11, 2025

The heterogeneity of major depressive disorder (MDD) has hindered clinical translation and neuromarker identification. Biotyping facilitates solving the problems heterogeneity, by dissecting MDD patients into discrete subgroups. However, interindividual variations suggest that depression may be conceptualized as a "continuum," rather than "category." We use Bayesian model to decompose structural MRI features from multisite cross-sectional cohort three latent disease factors (spatial pattern) continuum factor compositions (individual expression). are associated with distinct neurotransmitter receptors/transporters obtained open PET sources. Increases cortical thickness in sensory decreases orbitofrontal cortices (Factor 1) associate norepinephrine 5-HT2A density, cingulo-opercular network subcortex 2) 5-HTT increases social affective brain systems 3) relate density. Disease patterns can also used predict symptom improvement longitudinal cohort. Moreover, individual expressions stable over time cohort, differentially expressed controls transdiagnostic Collectively, our data-driven reveal organize along continuous dimensions affect sets regions. Li et al. identify abnormalities using an unsupervised machine learning technique, quantify their expression level for each patient.

Язык: Английский

Процитировано

0