Symptom-based depression subtypes: brain dynamic specificity and its association with gene expression profiles

Translational Psychiatry, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 28, 2025

At least 227 combinations of symptoms meet the criteria for Major Depressive Disorder (MDD). However, in clinical practice, patients consistently present a regular rather than random manner, and neural basis underlying MDD subtypes remains unclear. To help clarify basis, with were clustered by symptom to investigate underpinning each subtype using functional resonance imaging (fMRI). Four symptom-based identified latent profile analysis according scales. Subsequently, brain dynamics evaluated fMRI, dysregulations attention limbic network observed among subtypes. Correlation between was then assessed via canonical correlation (CCA). The brain-symptom higher when (r = 0.77 0.92) compared entire group 0.5). loading weight CCA showed that transmodal networks contributed most characterized typical depression symptoms, whereas unimodal anxiety insomnia. Finally, gene expression model, along its biological encoding process, performed postmortem atlas revealed distinct enrichments different These findings highlight clusters have specific correlates, providing insights into depression's heterogeneous diagnosis precision medicine opportunities.

Язык: Английский

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Study of dynamic brain function in irritable bowel syndrome via Hidden Markov Modeling

Frontiers in Neuroscience, Год журнала: 2025, Номер 18

Опубликована: Янв. 13, 2025

Background and purpose Irritable bowel syndrome (IBS) is a common bowel-brain interaction disorder whose pathogenesis unclear. Many studies have investigated abnormal changes in brain function IBS patients. In this study, we analyzed the dynamic patients using Hidden Markov Model (HMM). Methods Resting-state functional magnetic resonance imaging (rs-fMRI) data clinical characteristics of 35 with 31 healthy controls (HCs) were collected. The rs-fMRI all participants HMM to identify recurrent activity states that evolve over time during resting state. Additionally, temporal properties these their correlations scale scores examined. Result This study utilized (HMM) method six distinct states. Significant differences fractional occupancy (FO) lifetime (LT) observed 5 6 between HCs. state transition probabilities differed HCs, an increased probability transitioning from 2 reconfiguration scales was associated default mode network (DMN), sensorimotor (SMN), cingulo-opercular (CON). Conclusion offers novel insights into reorganization patterns elucidates potential links IBS-related emotional regulation symptom experience, thereby contributing deeper understanding neural mechanisms underlying IBS.

Язык: Английский

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Astrocytic pleiotrophin deficiency in the prefrontal cortex contributes to stress-induced depressive-like responses in male mice

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

Опубликована: Март 14, 2025

Astrocytes are closely linked to depression, and the prefrontal cortex (PFC) is an important brain region involved in major depressive disorder (MDD). However, underlying mechanism by which astrocytes within PFC contribute MDD remains unclear. Using single-nucleus RNA sequencing analyses, we show a significant reduction attenuated pleiotrophin-protein tyrosine phosphatase receptor type Z1 (PTN-PTPRZ1) signaling astrocyte-to-excitatory neuron communication of male patients. We find reduced PTN dorsomedial mice with depression induced chronic restraint social defeat stress. Knockdown astrocytic induces depression-related responses, reversed exogenous supplementation or overexpression PTN. The antidepressant effects exerted require interaction PTPRZ1 excitatory neurons, PTN-PTPRZ1 activates AKT pathway regulate responses. Our findings indicate PTN-PTPRZ1-AKT may be potential therapeutic target for MDD. but mechanisms remain Here, authors that pleiotrophin contributes depression-like phenotype mice.

Язык: Английский

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Investigating brain network dynamics in state-dependent stimulation: a concurrent Electroencephalography and Transcranial Magnetic Stimulation study using Hidden Markov Models

Brain stimulation, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Systems neuroscience studies have shown that baseline brain activity can be categorized into large-scale networks (resting-state-networks, RNSs), with influence on cognitive abilities and clinical symptoms. These insights guided millimeter-precise selection of stimulation targets based RSNs. Concurrently, Transcranial Magnetic Stimulation (TMS) revealed states, measured by EEG signal power or phase, affect outcomes. However, dynamics in these are mostly limited to single regions channels, lacking the spatial resolution needed for accurate network-level characterization. We aim at mapping high temporal precision assess whether occurrence specific network-level-states impact TMS outcome. To this end, we will identify explore how their relates corticospinal excitability. This study leverages Hidden Markov Models states from pre-stimulus source space high-density-EEG data collected during targeting left primary motor cortex twenty healthy subjects. The association between fMRI-defined RSNs was explored using Yeo atlas, trial-by-trial relation excitability examined. extracted fast-dynamic unique spatiotemporal spectral features resembling major engagement different significantly influences excitability, larger evoked potentials when dominated sensorimotor network. findings represent a step forward towards characterizing network EEG-TMS both underscore importance incorporating experiments.

Язык: Английский

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Mapping Electroconvulsive Therapy Induced Neuroplasticity: Towards a Multilevel Understanding of the Available Clinical Literature – A Scoping Review

Neuroscience & Biobehavioral Reviews, Год журнала: 2025, Номер unknown, С. 106143 - 106143

Опубликована: Апрель 1, 2025

Язык: Английский

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Inflammation-related abnormal dynamic brain activity correlates with cognitive impairment in first-episode, drug-naïve major depressive disorder

Journal of Affective Disorders, Год журнала: 2024, Номер 366, С. 217 - 225

Опубликована: Авг. 27, 2024

Язык: Английский

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Multilayer Network Instability Underlying Persistent Auditory Verbal Hallucinations in Schizophrenia

Psychiatry Research, Год журнала: 2024, Номер 344, С. 116351 - 116351

Опубликована: Дек. 31, 2024

Язык: Английский

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Revolutionizing Depression Diagnosis: The Synergy of EEG-based Cognitive Biomarkers and Machine Learning

Behavioural Brain Research, Год журнала: 2024, Номер 478, С. 115325 - 115325

Опубликована: Ноя. 6, 2024

Язык: Английский

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