ArticleScientific reports2023
EEG-based spatio-temporal relation signatures for the diagnosis of depression and schizophrenia.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Research on depression diagnosis method based on multi-scale analysis of frontal lead EEG.BMC medical informatics and decision making · 2026Article
- Correlation of frontal lobe electroencephalogram asymmetry and cognitive prognosis in schizophrenia.World journal of psychiatry · 2026Article
- Characteristics of resting-state EEG after deep brain stimulation in nucleus accumbens and anterior limb of internal capsule: a pilot study.BMC psychiatry · 2026Article
- PRISMA Systematic Review of Electroencephalographic (EEG) Microstates as Biomarkers: Secondary Findings in Memory Functions.Neurology international · 2025Review
- Enhancing Diagnostic Accuracy of Neurological Disorders Through Feature-Driven Multi-Class Classification with Machine Learning.Diagnostics (Basel, Switzerland) · 2025Article
- EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.Schizophrenia bulletin · 2025Article
- Relational information framework, causality, unification of quantum interpretations and return to realism through non-ergodicity.Scientific reports · 2025Article
- Diagnosis of Cognitive and Mental Disorders: A New Approach Based on Spectral-Spatiotemporal Analysis and Local Graph Structures of Electroencephalogram Signals.Brain sciences · 2025Article
- Next-generation wearable sensors for biopsychosocial care in mental health: a narrative review.BMJ digital health & AI · 2025Review
- Quantum-like representation of neuronal networks' activity: modeling "mental entanglement".Frontiers in human neuroscience · 2025Article
- Article
- Biological Methods for Diagnosing Depressive Symptoms in Patients with Schizophrenia: A Narrative Review.Consortium psychiatricum · 2024Review
- Neurosteroids: mechanistic considerations and clinical prospects.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Rao-Fisher information geometry and dynamics of the event-universe views distributions.Heliyon · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis of psychiatric disorders is currently based on a clinical and psychiatric examination (intake). Ancillary tests are used minimally or only to exclude other disorders. Here, we demonstrate a novel mathematical approach based on the field of p-adic numbers and using electroencephalograms (EEGs) to identify and differentiate patients with schizophrenia and depression from healthy controls. This novel approach examines spatio-temporal relations of single EEG electrode signals and characterizes the topological structure of these relations in the individual patient. Our results indicate that the relational topological structures, characterized by either the personal universal dendrographic hologram (DH) signature (PUDHS) or personal block DH signature (PBDHS), form a unique range for each group of patients, with impressive correspondence to the clinical condition. This newly developed approach results in an individual patient signature calculated from the spatio-temporal relations of EEG electrodes signals and might help the clinician with a new objective tool for the diagnosis of a multitude of psychiatric disorders.
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