ArticleScientific reports2019
Abnormalities in hubs location and nodes centrality predict cognitive slowing and increased performance variability in first-episode schizophrenia patients.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Altered Brain-Behavior Association During Resting State is a Potential Psychosis Risk Marker.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Minimum spanning tree analysis of EEG resting-state functional networks in schizophrenia.Scientific reports · 2024Article
- Alterations in the hub structure of whole-brain functional networks in patients with drug-naïve schizophrenia: Insights from electroencephalography-based research.PCN reports : psychiatry and clinical neurosciences · 2024Article
- Niacin Skin Flush Backs-From the Roots of the Test to Nowadays Hope.Journal of clinical medicine · 2023Review
- Macroscale EEG characteristics in antipsychotic-naïve patients with first-episode psychosis and healthy controls.Schizophrenia (Heidelberg, Germany) · 2023Article
- How Functional Connectivity Measures Affect the Outcomes of Global Neuronal Network Characteristics in Patients with Schizophrenia Compared to Healthy Controls.Brain sciences · 2023Article
- The impact of temporal lobe epilepsy surgery on picture naming and its relationship to network metric change.NeuroImage. Clinical · 2023Article
- Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity.Network neuroscience (Cambridge, Mass.) · 2022Article
- Automated Classification of Cognitive Workload Levels Based on Psychophysiological and Behavioural Variables of Ex-Gaussian Distributional Features.Brain sciences · 2022Article
- Disentangling age- and disease-related alterations in schizophrenia brain network using structural equation modeling: A graph theoretical study based on minimum spanning tree.Human brain mapping · 2021Article
- Manipulations of the Response-Stimulus Intervals as a Factor Inducing Controlled Amount of Reaction Time Intra-Individual Variability.Brain sciences · 2021Article
- Novel dynamic residue network analysis approaches to study allosteric modulation: SARS-CoV-2 MComputational and structural biotechnology journal · 2021Article
- Widespread Reductions of Spontaneous Neurophysiological Activity in Leber's Disease-An Application of EEG Source Current Density Reconstruction.Brain sciences · 2020Article
- The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline.Translational neurodegeneration · 2020Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Introducing the Minimum Spanning Tree (MST) algorithms to neural networks science eliminated the problem of arbitrary setting of the threshold for connectivity strength. Despite these advantages, MST has been rarely used to study network abnormalities in schizophrenia. An MST graph mapping a network structure is its simplification, therefore, it is important to verify whether the reconfigured network is significantly related to the behavioural dimensions of the clinical picture of schizophrenia. 35 first-episode schizophrenia patients and 35 matched healthy controls underwent an assessment of information processing speed, cognitive inter-trial variability modelled with ex-Gaussian distributional analysis of reaction times and resting-state EEG recordings to obtain frequency-specific functional connectivity matrices from which MST graphs were computed. The patients' network had a more random structure and star-like arrangement with overloaded hubs positioned more posteriorly than it was in the case of the control group. Deficient processing speed in the group of patients was predicted by increased maximal betweenness centrality in beta and gamma bands, while decreased consistency in cognitive processing was predicted by the betweenness centrality of posterior nodes in the gamma band, together with duration of illness. The betweenness centrality of posterior nodes in the gamma band was also significantly correlated with positive psychotic symptoms in the clinical group.
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