Trial reportSensors (Basel, Switzerland)2021
Quantifying Physiological Biomarkers of a Microwave Brain Stimulation Device.
Trial report in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed, 34 citations in OpenAlex.
- Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study.JMIR medical informatics · 2026Review
- Identification and validation of an interpretable EEG-based machine learning model for the diagnosis of post-stroke cognitive impairment.Frontiers in aging neuroscience · 2025Article
- An Explainable EEG-Based Human Activity Recognition Model Using Machine-Learning Approach and LIME.Sensors (Basel, Switzerland) · 2023Article
- Effectiveness of Anodal otDCS Following with Anodal tDCS Rather than tDCS Alone for Increasing of Relative Power of Intrinsic Matched EEG Bands in Rat Brains.Brain sciences · 2022Article
- Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal.Sensors (Basel, Switzerland) · 2022Article
- Phase Lag Index of Resting-State EEG for Identification of Mild Cognitive Impairment Patients with Type 2 Diabetes.Brain sciences · 2022Article
- A Review of Recent Advances in Vital Signals Monitoring of Sports and Health via Flexible Wearable Sensors.Sensors (Basel, Switzerland) · 2022Review
- EEG/fNIRS Based Workload Classification Using Functional Brain Connectivity and Machine Learning.Sensors (Basel, Switzerland) · 2022Article
- EEG-Based Person Identification during Escalating Cognitive Load.Sensors (Basel, Switzerland) · 2022Article
- Severe Acquired Brain Injury: Prognostic Factors of Discharge Outcome in Older Adults.Brain sciences · 2022Article
- Article
- EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network.Brain sciences · 2022Article
- Quantitative Evaluation of EEG-Biomarkers for Prediction of Sleep Stages.Sensors (Basel, Switzerland) · 2022Article
- Effect of Standardized Yelling on Subjective Perception and Autonomic Nervous System Activity in Motion Sickness.International journal of environmental research and public health · 2021Article
- Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System.Sensors (Basel, Switzerland) · 2021Article
- Prediction of Myoelectric Biomarkers in Post-Stroke Gait.Sensors (Basel, Switzerland) · 2021Article
- Quantitative Evaluation of Task-Induced Neurological Outcome after Stroke.Brain sciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Physiological signals are immediate and sensitive to neural and cardiovascular change resulting from brain stimulation, and are considered as a quantifying tool with which to evaluate the association between brain stimulation and cognitive performance. Brain stimulation outside a highly equipped, clinical setting requires the use of a low-cost, ambulatory miniature system. The purpose of this double-blind, randomized, sham-controlled study is to quantify the physiological biomarkers of the neural and cardiovascular systems induced by a microwave brain stimulation (MBS) device. We investigated the effect of an active MBS and a sham device on the cardiovascular and neurological responses of ten volunteers (mean age 26.33 years, 70% male). Electroencephalography (EEG) and electrocardiography (ECG) were recorded in the initial resting-state, intermediate state, and the final state at half-hour intervals using a portable sensing device. During the experiment, the participants were engaged in a cognitive workload. In the active MBS group, the power of high-alpha, high-beta, and low-beta bands in the EEG increased, and the power of low-alpha and theta waves decreased, relative to the sham group. RR Interval and QRS interval showed a significant association with MBS stimulation. Heart rate variability features showed no significant difference between the two groups. A wearable MBS modality may be feasible for use in biomedical research; the MBS can modulate the neurological and cardiovascular responses to cognitive workload.
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.