ArticlePloS one2017
Graph-based analysis of brain connectivity in schizophrenia.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it, 250 citations in OpenAlex.
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning.Frontiers in human neuroscience · 2024Pooled it
- Atieh Schizophrenia EEG, a novel high-quality dataset designed to advance biomarker and machine learning research.Scientific data · 2026Article
- Diminished variability of alpha and beta band-limited power as a neural signature in schizophrenia.Translational psychiatry · 2026Article
- Configurable Modular EEG Classification Framework with Multiscale Features and Ensemble Learning: A Reproducible Evaluation for Schizophrenia Detection.Bioengineering (Basel, Switzerland) · 2026Article
- MDEFusion: A Multi-Domain EEG Feature Fusion Network With Bidirectional Attention LSTM and Half-Split Crossover SAE for Schizophrenia Recognition.Brain and behavior · 2026Article
- Fusing EEG Features Extracted by Microstate Analysis and Empirical Mode Decomposition for Diagnosis of Schizophrenia.Sensors (Basel, Switzerland) · 2026Article
- Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.PloS one · 2026Article
- Dyadic Neural Synchronization: Differences between Offline and Computer-assisted Online Verbal Interaction.Human brain mapping · 2025Article
- AI-driven early diagnosis of specific mental disorders: a comprehensive study.Cognitive neurodynamics · 2025Article
- Classifying schizophrenia subtypes via resting-state EEG complexity networks.Scientific reports · 2025Article
- An open-access EEG dataset from indigenous African populations for schizophrenia research.Data in brief · 2025Article
- Exploring brain lobe-specific insights in an explainable framework for EEG-based schizophrenia detection.bioRxiv : the preprint server for biology · 2025Article
- Aberrant Functional Connectivity and Brain Network Organization in High-Schizotypy Individuals: An Electroencephalography Study.Schizophrenia bulletin · 2025Article
- infomeasure: a comprehensive Python package for information theory measures and estimators.Scientific reports · 2025Article
- Transfer learning and self-distillation for automated detection of schizophrenia using single-channel EEG and scalogram images.Physical and engineering sciences in medicine · 2025Article
- Reduced temporal variability of cortical excitation/inhibition ratio in schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Efficient Neural Network Classification of Parkinson's Disease and Schizophrenia Using Resting-State EEG Data.Brain topography · 2025Article
- EEG-based functional and effective connectivity patterns during emotional episodes using graph theoretical analysis.Scientific reports · 2025Article
- Enhanced visibility graph for EEG classification.Frontiers in neuroscience · 2025Article
- Graph Neural Networks in Brain Connectivity Studies: Methods, Challenges, and Future Directions.Brain sciences · 2024Review
11 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study evaluated brain connectivity using electroencephalography (EEG) data from 14 patients with schizophrenia and 14 healthy controls. Phase-Locking Value (PLV), Phase-Lag Index (PLI) and Directed Transfer Function (DTF) were calculated for the original EEG data and following current source density (CSD) transformation, re-referencing using the average reference electrode (AVERAGE) and reference electrode standardization techniques (REST). The statistical analysis of adjacency matrices was carried out using indices based on graph theory. Both CSD and REST reduced the influence of volume conducted currents. The largest group differences in connectivity were observed for the alpha band. Schizophrenic patients showed reduced connectivity strength, as well as a lower clustering coefficient and shorter characteristic path length for both measures of phase synchronization following CSD transformation or REST re-referencing. Reduced synchronization was accompanied by increased directional flow from the occipital region for the alpha band. Following the REST re-referencing, the sources of alpha activity were located at parietal rather than occipital derivations. The results of PLV and DTF demonstrated group differences in fronto-posterior asymmetry following CSD transformation, while for PLI the differences were significant only using REST. The only analysis that identified group differences in inter-hemispheric asymmetry was DTF calculated for REST. Our results suggest that a comparison of different connectivity measures using graph-based indices for each frequency band, separately, may be a useful tool in the study of disconnectivity disorders such as schizophrenia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.