ArticleFrontiers in neuroinformatics2018
New Protocol for Quantitative Analysis of Brain Cortex Electroencephalographic Activity in Patients With Psychiatric Disorders.
Article in Frontiers in neuroinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Pooled it
- Investigating the Impact of Guided Imagery on Stress, Brain Functions, and Attention: A Randomized Trial.Sensors (Basel, Switzerland) · 2023Trial
- The evaluation of Hashimoto's thyroiditis with event-related potentials and magnetic resonance spectroscopy and its relation to cognitive function.Scientific reports · 2021Trial
- Investigating brain cortical activity in patients with post-COVID-19 brain fog.Frontiers in neuroscience · 2023Article
- Natural product-based pharmacological studies for neurological disorders.Frontiers in pharmacology · 2022Review
- Bottom-Up and Top-Down Attention Impairment Induced by Long-Term Exposure to Noise in the Absence of Threshold Shifts.Frontiers in neurology · 2022Article
- Modeling and Comparing Brain Processes in Message and Earned Source Credibility Evaluation.Frontiers in human neuroscience · 2022Article
- Summary of over Fifty Years with Brain-Computer Interfaces-A Review.Brain sciences · 2021Review
- What to Believe? Impact of Knowledge and Message Length on Neural Activity in Message Credibility Evaluation.Frontiers in human neuroscience · 2021Article
- A Review on P300 in Obsessive-Compulsive Disorder.Frontiers in psychiatry · 2021Review
- Comparison of Smoothing Filters in Analysis of EEG Data for the Medical Diagnostics Purposes.Sensors (Basel, Switzerland) · 2020Article
- Whom to Believe? Understanding and Modeling Brain Activity in Source Credibility Evaluation.Frontiers in neuroinformatics · 2020Article
- Analysis of Decision-Making Process Using Methods of Quantitative Electroencephalography and Machine Learning Tools.Frontiers in neuroinformatics · 2019Article
- Most Popular Signal Processing Methods in Motor-Imagery BCI: A Review and Meta-Analysis.Frontiers in neuroinformatics · 2018Article
- A perspective on translating genomic discoveries into targets for brain-machine interface and deep brain stimulation devices.WIREs mechanisms of diseaseArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interview is still the main and most important tool in psychiatrist's work. The neuroimaging methods such as CT or MRI are widely used in other fields of medicine, for instance neurology. However, psychiatry lacks effective quantitative methods to support of diagnosis. A novel neuroinformatic approach to help clinical patients by means of electroencephalographic technology in order to build foundations for finding neurophysiological biomarkers of psychiatric disorders is proposed. A cohort of 30 right-handed patients (21 males, 9 females) with psychiatric disorders (mainly with panic and anxiety disorder, Asperger syndrome as well as with phobic anxiety disorders, schizophrenia, bipolar affective disorder, obsessive-compulsive disorder, nonorganic hypersomnia, and moderate depressive episode) were examined using the dense array EEG amplifier in the P300 experiment. The results were compared with the control group of 30 healthy, right-handed male volunteers. The quantitative analysis of cortical activity was conducted using the sLORETA source localization algorithm. The most active Brodmann Areas were pointed out and a new quantitative observable of electrical charge flowing through the selected Brodmann Area is proposed. The precise methodology and research protocol for collecting EEG data as well as the roadmap of future investigations in this area are presented. The essential result of this study is the idea proven by the initial results of our experiments that it is possible to determine quantitatively biomarkers of particular psychiatric disorders in order to support the process of diagnosis and hopefully choose most appropriate medical treatment later.
Indexed as
Identifiers
What OpenQuestion holds
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.