Neural Network for Enhancing Robot-Assisted Rehabilitation: A Systematic Review by Nafizul Alam, Sk Hasan, Gazi Abdullah Mashud, Subodh Bhujel

“…Surface electromyography (sEMG), electromyography (EMG), electroencephalography (EEG), and other physiological signals enable communication between the human body and robotic systems. …”
Get full text

EEG as a neural measure of hypoxia-related impairment by Stephanie R. Otto, Stephanie R. Otto, Cammi K. Borden, Cammi K. Borden, Daniel G. McHail, Kara J. Blacker

“…Recent advances in neuroscience have permitted non-invasive observation of neural activity under controlled hypoxia exposures and have begun to uncover how the brain responds to hypoxia. Electroencephalography (EEG) in particular has been used to explore how electrical activity produced by networks of cortical neurons changes under hypoxia. …”
Get full text

Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…In recent years, the utilization of motor imagery (MI) signals derived from electroencephalography (EEG) has shown promising applications in controlling various devices such as wheelchairs, assistive technologies, and driverless vehicles. …”
Get full text

Integrating fMRI spatial network dynamics and EEG spectral power: insights into resting state connectivity by Souvik Phadikar, Krishna Pusuluri, Armin Iraji, Vince D. Calhoun

“…IntroductionThe Integration of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) has allowed for a novel exploration of the brain’s spatial–temporal resolution. …”
Get full text

Brain state forecasting for precise brain stimulation: Current approaches and future perspectives by Matteo De Matola, Carlo Miniussi

“…We focus on the problem of online functional targeting, which requires collecting electroencephalography (EEG) data, extracting brain states, and using them to trigger TMS in real time. …”
Get full text

Mechanism of Transcranial Magnetic Stimulation in the Treatment of Neuropathic Pain by SUN Yu-jia, ZHANG Jun-feng, YAN Long, FAN Shi-yu, QIAN Yu-lin, CONG Shan, YU Tao

“…Future research should address these gaps through multicenter，large-scale studies，employing advanced technologies such as electroencephalography （EEG） to better understand the intrinsic mechanisms by which TMS modulates neural networks. …”
Get full text

Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy by Jungho Suh, Sungbok Chang, Hyunjun Park

“…An EMDR field test with electroencephalography (EEG) was conducted to assess the optimized video stimuli’s efficacy. …”
Get full text

EEG-Based ADHD Classification Using Autoencoder Feature Extraction and ResNet with Double Augmented Attention Mechanism by Jayoti Bansal, Gaurav Gangwar, Mohammad Aljaidi, Ali Alkoradees, Gagandeep Singh

“…Method: This research endeavor sought to establish an objective diagnostic modality for ADHD through the utilization of electroencephalography (EEG) signal analysis. With the use of innovative deep learning techniques, this research seeks to improve the diagnosis of ADHD using EEG data. …”
Get full text

ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network by Xiao Feng, Xiao Feng, Zhongyuan Guo, Zhongyuan Guo, Sam Kwong

“…Accurate monitoring of drowsy driving through electroencephalography (EEG) can effectively reduce traffic accidents. …”
Get full text

A safety and feasibility randomized placebo controlled trial exploring electroencephalographic effective connectivity neurofeedback treatment for fibromyalgia by Lucy Anderson, Dirk De Ridder, Paul Glue, Ramakrishnan Mani, Cindy van Sleeuwen, Mark Smith, Divya Bharatkumar Adhia

“…This study evaluates the safety, feasibility, and acceptability of a novel electroencephalography-based neurofeedback training, targeting effective alpha-band connectivity from the pgACC to S1 and exploring its effect on pain and function. …”
Get full text

Exploring the role of electrode density in capturing spatiotemporal dynamics of resting-state networks with EEG by Matheus Mangini Bertuzzo, Rodrigo P Rocha, Ricardo Spyrídes Boabaid Pimentel Gonçalves, Adair Roberto Soares Dos Santos, Odival Cezar Gasparotto

“…This study investigates the role of electrode density in capturing resting-state brain activity, an area of significant clinical relevance, where electroencephalography (EEG) is favored for its cost-efficiency. …”
Get full text

Seizure aggravation by ampicillin/sulbactam in an elderly patient with status epilepticus by Kaoru Obata, Masako Kinoshita, Akiyo Shinde, Toshihiko Suenaga

“…Here, we investigated whether ABPC/SBT aggravates seizures using electroencephalography (EEG) monitoring. Case presentation An 84-year-old male with status epilepticus who presented with a new onset of clonic seizures mainly of his left side and underwent continuous video EEG was analyzed. …”
Get full text

The Longitudinal Neurophysiological Adaptation of a Division I Female Lacrosse Player Following Anterior Cruciate Rupture and Repair: A Case Report by Robert Mangine, Jim Tersak, Thomas Palmer, Audrey Hill-Lindsay, Bolton Patton, Marsha Eifert-Mangine, Bradley Jacobs, Angelo J Colosimo

“… # Purpose To investigate the innovative use of quantitative electroencephalography (qEEG) to monitor the longitudinal change in brain and central nervous systems activity while measuring musculoskeletal function during an anterior cruciate ligament repair rehabilitation…”
Get full text

Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments by Zhihong Cui, Xiangwei Zheng, Xuexiao Shao, Lizhen Cui

“…In addition, the rapid fluctuations between sleep stages often result in blurry feature extraction, which might lead to an inaccurate assessment of electroencephalography (EEG) sleep stages. Hence, we propose an automatic sleep stage classification method based on a convolutional neural network (CNN) combined with the fine-grained segment in multiscale entropy. …”
Get full text

Real-time classification of EEG signals using Machine Learning deployment by Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA

“…By monitoring the students' electroencephalography (EEG) signals and employing machine learning algorithms, this study proposes a comprehensive solution for addressing this challenge. …”
Get full text

Hyperexcitability of Cortical Oscillations in Patients with Somatoform Pain Disorder: A Resting-State EEG Study by Qian Ye, Dong Yan, Manlin Yao, Wutao Lou, Weiwei Peng

“…The present study is aimed at identifying the abnormalities of spontaneous cortical oscillations among patients with SPD, thus for a better understanding of the ongoing brain states in these patients. Spontaneous electroencephalography data during a resting state with eyes open were recorded from SPD patients and healthy controls, and their cortical oscillations as well as functional connectivity were compared using both electrode-level and source-level analysis. …”
Get full text

XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…To explore the impact of stereograms with varied motions on brain activities, we collected Electroencephalography (EEG) signals evoked by Dynamic Random Dot Stereograms (DRDS). …”
Get full text

Assessing brain-muscle networks during motor imagery to detect covert command-following by Emilia Fló, Daniel Fraiman, Jacobo Diego Sitt

“…Abstract Background In this study, we evaluated the potential of a network approach to electromyography and electroencephalography recordings to detect covert command-following in healthy participants. …”
Get full text

Modulated Alpha Power as a Predictor of Tinnitus Alleviation by Tae-Soo Noh, Moo Kyun Park, Seung-Ha Oh, Jun Ho Lee, Myung-Whan Suh

“…An age-matched control group was also included (n = 12). Electroencephalography (EEG) was recorded and patient data were analyzed before and after treatment. …”
Get full text

Sensation seeking and risk adjustment: the role of reward sensitivity in dynamic risky decisions by Yin Qianlan, Chen Shou, Hou Tianya, Dong Wei, Taosheng Liu

“…We enlisted 80 young adults to perform this task, and of these, 40 were subjected to electroencephalography (EEG) to assess neural correlates of RS. …”
Get full text