ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2020
Non-negative Matrix Factorization Reveals Resting-State Cortical Alpha Network Abnormalities in the First-Episode Schizophrenia Spectrum.
Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 29 citations in OpenAlex.
- What Static Connectivity Misses: Dynamic Alpha-Band Brain Network States in First-Episode Psychosis.Brain topography · 2026Article
- Neural transmission in the wired brain, new insights into an encoding-decoding-based neuronal communication model.Translational psychiatry · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- The genetics of spatiotemporal variation in cortical thickness in youth.Communications biology · 2024Article
- Power spectral density-based resting-state EEG classification of first-episode psychosis.Scientific reports · 2024Article
- Changes in oscillatory patterns of microstate sequence in patients with first-episode psychosis.Scientific data · 2024Article
- Atypical cortical networks in children at high-genetic risk of psychiatric and neurodevelopmental disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Functional connectivity and gray matter deficits within the auditory attention circuit in first-episode psychosis.Frontiers in psychiatry · 2023Article
- The Role of Alpha Oscillations among the Main Neuropsychiatric Disorders in the Adult and Developing Human Brain: Evidence from the Last 10 Years of Research.Biomedicines · 2022Review
- Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment.Current psychiatry reports · 2022Review
- Respiration modulates oscillatory neural network activity at rest.PLoS biology · 2021Article
- Use of cognitive event-related potentials in the management of psychiatric disorders: Towards an individual follow-up and multi-component clinical approach.World journal of psychiatry · 2021Review
- Distinct alterations in resting-state electroencephalogram during eyes closed and eyes open and between morning and evening are present in first-episode psychosis patients.Schizophrenia research · 2021Article
- Special Report on the Impact of the COVID-19 Pandemic on Clinical EEG and Research and Consensus Recommendations for the Safe Use of EEG.Clinical EEG and neuroscience · 2021Article
- Predicting MEG resting-state functional connectivity from microstructural information.Network neuroscience (Cambridge, Mass.) · 2021Article
- Electrophysiological network alterations in adults with copy number variants associated with high neurodevelopmental risk.Translational psychiatry · 2020Article
- Patient, interrupted: MEG oscillation dynamics reveal temporal dysconnectivity in schizophrenia.NeuroImage. Clinical · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundLittle is known about neural oscillatory dynamics in first-episode psychosis. Pathophysiology of functional connectivity can be measured through network activity of alpha oscillations, reflecting long-range communication between distal brain regions.
methodsResting magnetoencephalographic activity was collected from 31 individuals with first-episode schizophrenia spectrum psychosis and 22 healthy control individuals. Activity was projected to the realistic cortical surface, based on structural magnetic resonance imaging. The first principal component of activity in 40 Brodmann areas per hemisphere was Hilbert transformed within the alpha range. Non-negative matrix factorization was applied to single-trial alpha phase-locking values from all subjects to determine alpha networks. Within networks, energy and entropy were compared.
resultsFour cortical alpha networks were pathological in individuals with first-episode schizophrenia spectrum psychosis. The networks involved the bilateral anterior and posterior cingulate; left auditory, medial temporal, and cingulate cortex; right inferior frontal gyrus and widespread areas; and right posterior parietal cortex and widespread areas. Energy and entropy were associated with the Positive and Negative Syndrome Scale total and thought disorder factors for the first three networks. In addition, the left posterior temporal network was associated with positive and negative factors, and the right inferior frontal network was associated with the positive factor.
conclusionsMachine learning network analysis of resting alpha-band neural activity identified several aberrant networks in individuals with first-episode schizophrenia spectrum psychosis, including the left temporal, right inferior frontal, right posterior parietal, and bilateral cingulate cortices. Abnormal long-range alpha communication is evident at the first presentation for psychosis and may provide clues about mechanisms of dysconnectivity in psychosis and novel targets for noninvasive brain stimulation.
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