Why is "Electroencephalography" trending?
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- Ranking position: #
- Date: 2026-03-11 17:51:11
This topic has appeared in the trending rankings 1 time(s) in the past year. While it does not trend frequently, its appearance suggests a renewed or concentrated surge of public interest.
Based on Wikipedia pageviews and search interest, this topic gained significant attention on the selected date.
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Wikipedia Overview
Electroencephalography (EEG)
is a method to record an electrogram of the spontaneous electrical activity of the brain. The bio signals detected by EEG have been shown to represent the postsynaptic potentials of pyramidal neurons in the neocortex and allocortex. It is typically non-invasive, with the EEG electrodes placed along the scalp using the International 10–20 system, or variations of it. Electrocorticography, involving surgical placement of electrodes, is sometimes called "intracranial EEG". EEG is widely used both as a clinical diagnostic tool, particularly in epilepsy, and as a research tool in neuroscience. Clinical interpretation of EEG recordings is performed by visual inspection of the tracing, which is the standard method. Quantitative EEG analysis may be used as an adjunct in specific clinical settings. Visual interpretation of EEG is subject to inter-rater and intra-rater variability.
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Trending Topic Today
Search Interest Perspective
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Oscillatory brain state-dependent stimulation with transcranial magnetic stimulation combined with electroencephalography - Nature
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Global EEG Amplifiers Market Set for Strong Growth at 7.1% CAGR - openPR.com
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An exploratory analysis of ACNS electroencephalography patterns in 34 comatose patients after in-hospital cardiopulmonary resuscitation - Frontiers
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Seronegative Autoimmune Encephalitis: A Case Report and Literature Review - Cureus
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Advancing Dry Electroencephalography With Scalable, Soft, and Transcranial Magnetic Stimulation-Compatible Ti - Wiley
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Reliable and efficient transcranial magnetic stimulation–electroencephalography (TMS–EEG) using ultra-thin active electrodes | Communications Engineering - Nature
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Prognostic value of quantitative and visual electroencephalography in disorders of consciousness: a retrospective study - Frontiers
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Optimal channel selection of electroencephalography based on functional network via global graph measurements: application for epilepsy - Nature
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A machine learning approach for detection of claustrophobic brain activity in electroencephalography - Nature
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Decoding brain age predictions from sleep electroencephalography across infancy to adolescence - Nature
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Validation of an electroencephalography data assimilation-based computational approach for estimating cortical excitation-inhibition balance - Nature
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Benchmarking the utility of dry-electrode electroencephalography for clinical trials - Nature
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Harnessing electroencephalography connectomes for cognitive and clinical neuroscience - Nature
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Investigating neural impairments in psychotic disorders using electroencephalography and cortical spheroids - Nature
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Effects of electroencephalography-based art therapy on emotion regulation difficulties, psychological well-being, relaxation and attention levels among college students - Nature
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Beyond homogeneity: charting the landscape of heterogeneity in neurodevelopmental and psychiatric electroencephalography | Translational Psychiatry - Nature
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Decoding covert visual attention of electroencephalography signals using continuous wavelet transform and deep learning approach - Nature
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Electroencephalography-based evaluation of the impact of night-time nursing care on sleep during intensive care unit administration after cardiac surgery - Nature
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Detecting unacceptable behavior of an autonomous vehicle using electroencephalography - Nature
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Electroencephalography and optical neuromonitoring predict short-term outcomes in neonates undergoing therapeutic hypothermia for hypoxic-ischemic encephalopathy - Nature
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Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography | Scientific Reports - Nature
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Open multi-center intracranial electroencephalography dataset with task probing conscious visual perception - Nature
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Numerical format integration in primary school children examined with frequency-tagged electroencephalography - Nature
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Electroencephalography signatures of motor error and stimulus-driven attention in electrical muscle stimulation-induced wrist movements under motor imagery - Frontiers
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Electroencephalography-based psychological and physiological effects of winter virtual forest trail landscapes on youth - Nature
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Scalp electrode placement accuracy for the canine electroencephalography array - Frontiers
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The electroencephalography protocol for the Accelerating Medicines Partnership® Schizophrenia Program: Reliability and stability of measures - Nature
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Electroencephalogram Test (EEG): Procedure and Results - GoodRx
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Prognostic Value of Electroencephalography in Critically Ill Adult Patients with Traumatic Brain Injury: A Systematic Review - Mary Ann Liebert, Inc.
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A multi-modal dataset of electroencephalography and functional near-infrared spectroscopy recordings for motor imagery of multi-types of joints from unilateral upper limb - Nature
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Injectable eutectogel for high-quality scalp electroencephalogram monitoring - Nature
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Linear predictive coding electroencephalography algorithms predict Parkinson’s disease mortality using out-of-sample tests - medRxiv
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Mapping Postictal Aphasia through Signal Complexity: A Stereo-Electroencephalography Study - Wiley Online Library
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Electroencephalographic and clinical predictors of favorable neurologic outcomes in pediatric cardiac arrest survivors - Nature
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Research on healing-oriented street design based on quantitative emotional electroencephalography and eye-tracking technology - Frontiers
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Classification of internet addiction using machine learning on electroencephalography synchronization and functional connectivity - Cambridge University Press & Assessment
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Functional connectivity study on visually evoked auditory response based on high-density electroencephalography - Frontiers
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Epileptic seizure detection from electroencephalogram signals based on 1D CNN-LSTM deep learning model using discrete wavelet transform - Nature
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Dementia classification using two-channel electroencephalography features - Nature
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Independent Component Analysis (ICA) With Covariates Strengthens Behavioral Links in Electroencephalography (EEG) Connectivity - Cureus
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Modeling of whole brain sleep electroencephalogram using deep oscillatory neural network - Frontiers
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The correlation between muscle strength, inhibitory function, and cognitive function in older adults with cognitive impairment: evidence from resting-state electroencephalography - Frontiers
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Mentis Care and Emory launch AI to detect and predict seizures - CHOSUNBIZ - Chosunbiz
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Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders - Frontiers
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach - Nature
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Electroencephalography: electrode arrays in dogs - Frontiers
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What Is an EEG & Why Do You Need One? - Cleveland Clinic
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Videoconference fatigue from a neurophysiological perspective: experimental evidence based on electroencephalography (EEG) and electrocardiography (ECG) | Scientific Reports - Nature
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Electroencephalography in Assessment of Autism Spectrum Disorders: A Review - Frontiers
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Electroencephalography-based endogenous phenotype of diagnostic transition from major depressive disorder to bipolar disorder - Nature
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Resting-state frontal electroencephalography (EEG) biomarkers for detecting the severity of chronic neuropathic pain - Nature
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Utility of complexity analysis in electroencephalography and electromyography for automated classification of sleep-wake states in mice - Nature
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Electroencephalography in consumer behaviour and marketing: a science mapping approach - Nature
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Intracranial electroencephalography reveals effector-independent evidence accumulation dynamics in multiple human brain regions - Nature
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Technical and clinical considerations for electroencephalography-based biomarkers for major depressive disorder - Nature
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Dataset of Speech Production in intracranial Electroencephalography - Nature
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Machine learning polysomnographically-derived electroencephalography biomarkers predictive of epworth sleepiness scale - Nature
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EEG-BIDS, an extension to the brain imaging data structure for electroencephalography - Nature
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Exploring the neural underpinnings of chord prediction uncertainty: an electroencephalography (EEG) study - Nature
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Predicting creative behavior using resting-state electroencephalography - Nature
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Flower electrodes for comfortable dry electroencephalography - Nature
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Electroencephalography-based classification of Alzheimer’s disease spectrum during computer-based cognitive testing - Nature
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Like/Dislike Prediction for Sport Shoes With Electroencephalography: An Application of Neuromarketing - Frontiers
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Pupillometry and electroencephalography in the digit span task - Nature
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Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition - Nature
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Reusable Multielectrode Array Technique for Electroencephalography in Awake Freely Moving Mice - Frontiers
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The impact of background music on film audience’s attentional processes: Electroencephalography alpha-rhythm and event-related potential analyses - Frontiers
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Decoding personalized motor cortical excitability states from human electroencephalography - Nature
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SignEEG v1.0: Multimodal Dataset with Electroencephalography and Hand-written Signature for Biometric Systems - Nature
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Resting-state electroencephalography (EEG) microstates of healthy individuals following mild sleep deprivation - Nature
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Alteration of cortical functional networks in mood disorders with resting-state electroencephalography - Nature
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Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system - Frontiers
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Optimising the classification of feature-based attention in frequency-tagged electroencephalography data - Nature
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BEAPP: The Batch Electroencephalography Automated Processing Platform - Frontiers
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An Electroencephalography-based Database for studying the Effects of Acoustic Therapies for Tinnitus Treatment - Nature
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Promises and limitations of human intracranial electroencephalography - Nature
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Change in Mean Frequency of Resting-State Electroencephalography after Transcranial Direct Current Stimulation - Frontiers
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Effectiveness of caffeine and blue-enriched light on cognitive performance and electroencephalography correlates of alertness in a spaceflight robotics simulation | npj Microgravity - Nature
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A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks - Nature
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Validation of sleep-staging accuracy for an in-home sleep electroencephalography device compared with simultaneous polysomnography in patients with obstructive sleep apnea - Nature
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Exploring electroencephalography with a model inspired by quantum mechanics | Scientific Reports - Nature
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Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification - Nature
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Strong correlation of novel sleep electroencephalography coherence markers with diagnosis and severity of posttraumatic stress disorder - Nature
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The Harvard Automated Processing Pipeline for Electroencephalography (HAPPE): Standardized Processing Software for Developmental and High-Artifact Data - Frontiers
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Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System - Frontiers
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Quantitative electroencephalography predicts postoperative delirium in adult cardiac surgical patients from a prospective observational study - Nature
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Using electroencephalography to analyse drivers’ different cognitive workload characteristics based on on-road experiment - Frontiers
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An Electroencephalography Bioassay for Preclinical Testing of Analgesic Efficacy | Scientific Reports - Nature
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Intracerebral Electroencephalography Provides Insight About How Transcranial Magnetic Stimulation Affects Brain Activity - Journal of Neuroscience
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Exploring consumers’ perceptions of online purchase decision factors: electroencephalography and eye-tracking evidence - Frontiers
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Exploring Electroencephalography-Based Affective Analysis and Detection of Parkinson’s Disease - Science Partner Journals
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Temporal and electroencephalography dynamics of surreal marketing - Frontiers
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Multimodal diagnosis of Alzheimer’s disease based on resting-state electroencephalography and structural magnetic resonance imaging - Frontiers
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Affection of facial artifacts caused by micro-expressions on electroencephalography signals - Frontiers
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Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study - Nature
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Electroencephalography characteristics related to risk of sudden unexpected death in epilepsy in patients with Dravet syndrome - Frontiers
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Understanding creativity process through electroencephalography measurement on creativity-related cognitive factors - Frontiers
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Objective characterization of hip pain levels during walking by combining quantitative electroencephalography with machine learning - Nature
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Periodic discharges in veterinary electroencephalography—A visual review - Frontiers
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Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals - Frontiers
Why This Topic Is Trending
This topic has recently gained attention due to increased public interest. Search activity and Wikipedia pageviews suggest growing global engagement.
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Search interest data over the past 12 months indicates that this topic periodically attracts global attention. Sudden spikes often correlate with major news events, public statements, or geopolitical developments.