Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity

Schizophrenia, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 4, 2025

Abstract To explore the neurobiological heterogeneity within Clinical High-Risk (CHR) for psychosis population, this study aimed to identify and characterize distinct biotypes CHR using features from resting-state functional networks. A total of 239 participants Shanghai At Risk Psychosis (SHARP) program were enrolled, consisting 151 individuals 88 matched healthy controls (HCs). Functional connectivity (FC) that correlated with symptom severity subjected single-cell interpretation through multikernel learning (SIMLR) algorithm in order latent homogeneous subgroups. The cognitive function, clinical symptoms, FC patterns, correlation neurotransmitter systems biotype profiles compared. Three identified based on 646 significant ROI-ROI features, comprising 29.8%, 19.2%, 51.0% sample, respectively. Despite absence overall differences between HC groups, each demonstrated unique abnormalities. Biotype 1 displayed augmented somatomotor connection, 2 shown compromised working memory heightened subcortical network-specific connectivity, 3, characterized by negative revealed extensive reductions along increased limbic-subcortical connectivity. correlates differed across biotypes. an inverse trend as concentrations improved but reduced it 3. identification provides compelling evidence early manifestation spectrum, suggesting pathophysiological mechanisms may underlie these

Language: Английский

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Dysfunctional Striatal-temporal Connectivity is Associated with A Higher Risk for Violence in Patients with Schizophrenia

Psychiatry Research, Journal Year: 2025, Volume and Issue: 348, P. 116488 - 116488

Published: April 6, 2025

Language: Английский

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Addressing inconsistency in functional neuroimaging: A replicable data-driven multi-scale functional atlas for canonical brain networks

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 10, 2024

The advent of various neuroimaging methodologies has greatly aided in the conceptualization large-scale brain networks field cognitive neuroscience. However, there is inconsistency across studies both nomenclature and functional entities being described. There a need for unifying framework which standardizes terminology while also bringing analyses results into same reference space. Here we present whole-brain atlas canonical derived from more than 100k resting-state fMRI datasets. These data-driven are highly replicable datasets as well multiple spatial scales. We have organized, labeled, described them with terms familiar to fields affective neuroscience order optimize their utility future enhance accessibility new findings. benefits this not limited template-based or reference-guided analyses, but extend other approaches modalities, such those using blind independent component analysis (ICA). Future utilizing will contribute greater harmonization standardization research.

Language: Английский

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Identifying Neurobiological Psychosis Biotypes Using Multi-Scale Functional Network Connectivity and its Latent Independent Subspace

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 12, 2025

This study aims to identify Psychosis Imaging Neurosubtypes (PINs)— homogeneous subgroups of individuals with psychosis characterized by distinct neurobiology derived from imaging features. Specifically, we utilized resting-state fMRI data 2103 B-SNIP 1&2 participants (1127 psychosis, 350 relatives, 626 controls) compute subject-specific multiscale functional network connectivity (msFNC). We then a low-dimensional neurobiological subspace, termed Latent Network Connectivity (LNC), which captured system-wide interconnected information across three components (cognitive-related, typical, psychosis-related). Projections participants' msFNC onto this subspace revealed PINs through unsupervised learning, each cognitive, clinical, and profiles, spanning all DSM diagnoses (Schizophrenia, Bipolar, Schizoaffective). PIN-1, the most cognitively impaired, showed Cerebellar-Subcortical Visual-Sensorimotor hypoconnectivity, alongside Visual-Subcortical hyperconnectivity. Most preserved PIN-2 Visual-Subcortical, Subcortical-Sensorimotor, Subcortical-Higher Cognition hypoconnectivity. PIN-3 exhibited intermediate cognitive function, showing hypoconnectivity Cerebellar-Sensorimotor Subcortical-Sensorimotor Notably, 55% relatives aligned same neurosubtype as their affected family members—a significantly higher rate than random chance (p-value Relatives-to-PIN-1 < 0.001, p-value Relatives-to-PIN-2 0.05, Relatives-to-PIN-3 0.001) compared non-significant 37% DSM-based classification, supporting biological basis these neurosubtypes. Cognitive performance reliably aligns brain patterns, are also evident in construct validity. Our differed original Biotypes, were determined electrophysiological, oculomotor data. These findings underscore limitations classifications capturing complexity psychotic disorders highlight potential imaging-based neurosubtypes enhance our understanding spectrum.

Language: Английский

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Transdiagnostic markers across the psychosis continuum: a systematic review and meta-analysis of resting state fMRI studies

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: June 4, 2024

Psychotic symptoms are among the most debilitating and challenging presentations of severe psychiatric diseases, such as schizophrenia, schizoaffective, bipolar disorder. A pathophysiological understanding intrinsic brain activity underlying psychosis is crucial to improve diagnosis treatment. While a potential continuum along psychotic spectrum has been recently described in neuroimaging studies, especially for what concerns absolute relative amplitude low-frequency fluctuations (ALFF fALFF), these efforts have given heterogeneous results. transdiagnostic meta-analysis ALFF/fALFF patients with compared healthy controls currently lacking. Therefore, this pre-registered systematic review PubMed, Scopus, Embase were searched articles comparing between controls. quantitative synthesis differences (f)ALFF was performed Seed-based d Mapping, adjusting age, sex, duration illness, clinical severity. All results corrected multiple comparisons by Family-Wise Error rates. lower ALFF fALFF detected comparison controls, no specific finding survived correction comparisons. Lack might explain discordant findings highlighted previous literature. Other explanations include methodological issues, lack standardization pre-processing or analytical procedures studies. Future research on should prioritize replicability individual Systematic registration https://osf.io/ , identifier (ycqpz).

Language: Английский

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Born Connected: Do Infants Already Have Adult-Like Multi-Scale Connectivity Networks?

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

Abstract The human brain undergoes remarkable development with the first six postnatal months witnessing most dramatic structural and functional changes, making this period critical for in-depth research. rsfMRI studies have identified intrinsic connectivity networks (ICNs), including default mode network, in infants. Although early formation of these has been suggested, specific identification number ICNs reported infants vary widely, leading to inconclusive findings. In adults, provided valuable insights into function, spanning various mental states disorders. A recent study analyzed data from over 100,000 subjects generated a template 105 multi-scale enhancing replicability generalizability across studies. Yet, presence not investigated. This addresses significant gap by evaluating infants, offering insight stages establishing baseline longitudinal To accomplish goal, we employ two sets analyses. First, fully data-driven approach investigate infant itself. Towards aim, also introduce burst independent component analysis (bICA), which provides reliable unbiased network identification. results reveal showing high correlation (rho > 0.5), highlighting potential continuity such We next demonstrate that reference-informed ICA-based techniques can reliably estimate feasibility leveraging NeuroMark framework robust extraction. only enhances cross-study comparisons lifespans but facilitates changes different age ranges. summary, our highlights novel discovery already possesses are widely observed older cohorts.

Language: Английский

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Dissecting Heterogeneity in Functional Network Connectivity Aberrations in Antipsychotic Medication-Naïve First Episode Psychosis Patients -- A Normative Modeling Study

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

While there is a general consensus that functional connectome pathology key mechanism underlying psychosis spectrum disorders, the literature plagued with inconsistencies and translation into clinical practice non-existent. This perhaps because group-level findings may not be accurate reflections of at individual patient level.

Language: Английский

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Longitudinal evaluation of the early auditory gamma-band response and its modulation by attention in first-episode psychosis

Psychological Medicine, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 9

Published: Dec. 2, 2024

Abstract Background Executive control over low-level information processing is impaired proximal to psychosis onset with evidence of recovery the first year illness. However, previous studies demonstrating diminished perceptual modulation via attention are complicated by simultaneously responses. The present study examined early auditory gamma-band response (EAGBR), a marker cortical that appears preserved in first-episode (FEP), and its longitudinal FEP sample. Methods Magnetoencephalography was recorded from 25 32 healthy controls (HC) during active passive listening conditions an oddball task at baseline follow-up (4–12 months) sessions. EAGBR inter-trial phase coherence (ITPC) evoked power were measured responses standard tones. Symptoms assessed using Positive Negative Syndrome Scale (PANSS). Results There no group difference or ITPC. While ITPC increased HC, this among FEP. Diminished persisted follow-up. FEP, associated reduced PANSS negative scores. Conclusion exhibit executive flow earliest stages sensory within cortex. In contrast work, deficit observed despite intact measure processing, mitigating potential confounds. Recovery gain time reductions symptoms, highlighting source resiliency against some most debilitating treatment refractory symptoms psychosis.

Language: Английский

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