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Related papers: Reliability and validity of TMS-EEG biomarkers

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Concurrent transcranial magnetic stimulation (TMS) and electroencephalography (EEG), or TMS-EEG, holds the potential to broaden the clinical applications of TMS beyond its traditional role in evaluating the cortico-spinal tract and motor…

Neurons and Cognition · Quantitative Biology 2025-02-04 Giacomo Bertazzoli , Carlo Miniussi , Petro Julkunen , Marta Bortoletto

Transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) is widely used to study the reactivity and connectivity of brain regions for clinical or research purposes. The electromagnetic pulse of the TMS device…

Quantitative Methods · Quantitative Biology 2019-10-30 Panteleimon Vafeidis , Vasilios K. Kimiskidis , Dimitris Kugiumtzis

Concurrency of transcranial magnetic stimulation with electroencephalography (TMS-EEG) technique is a powerful and challenging methodology for basic research and clinical applications. Aspects considered in experiments for effective TMS-EEG…

Neurons and Cognition · Quantitative Biology 2024-03-18 Hua Cheng

Transcranial magnetic stimulation (TMS) is a technique for noninvasively stimulating a brain area for therapeutic, rehabilitation treatments and neuroscience research. Despite our understanding of the physical principles and experimental…

Neurons and Cognition · Quantitative Biology 2020-12-30 Jose Gomez-Tames , Ilkka Laakso , Akimasa Hirata

Regeneration of the nervous system after injury remains an important therapeutic objective, especially in the central nervous system (CNS), in which regeneration is restricted by both neuronal limitations as well as adverse extracellular…

Neurons and Cognition · Quantitative Biology 2026-05-05 Maryam Kheyrollah , Reza Khanbabaie , Chris Ullrich , Mohammad Moulaeifard

A major shortcoming of medical practice is the lack of an objective measure of conscious level. Impairment of consciousness is common, e.g. following brain injury and seizures, which can also interfere with sensory processing and volitional…

Neurons and Cognition · Quantitative Biology 2025-12-24 Alexis Pomares Pastor , Ines Ribeiro Violante , Gregory Scott

Tinnitus is a prevalent auditory condition lacking objective biomarkers, motivating the search for reliable neural signatures. EEG, being a noninvasive method of brain imaging with a high temporal resolution provides a way to investigate…

Neurons and Cognition · Quantitative Biology 2026-04-27 Adyant Balaji , Abhinav Uppal , Min Suk Lee , Yuchen Xu , Akihiro Matsuoka , Gert Cauwenberghs

Objective: We present magnetomyograms (MMG) of TMS-evoked movement in a human hand, together with a simultaneous surface electromyograph (EMG) and electroencephalograph (EEG) data. Approach: We combined TMS with non-contact magnetic…

Brain connectivity can be estimated through a wide number of analyses applied to electroencephalographic (EEG) data. However, substantial heterogeneity in the implementation of connectivity methods exist. Heterogeneity in conceptualization…

Neurons and Cognition · Quantitative Biology 2021-09-01 Aleksandra Miljevic , Neil W. Bailey , Fidel Vila-Rodriguez , Sally E. Herring , Paul B. Fitzgerald

Background: Transcranial magnetic stimulation (TMS) is a powerful tool to investigate neurophysiology of the human brain and treat brain disorders. Traditionally, therapeutic TMS has been applied in a one-size-fits-all approach,…

The use of EEG as a biometrics modality has been investigated for about a decade, however its feasibility in real-world applications is not yet conclusively established, mainly due to the issues with collectability and reproducibility. To…

Cryptography and Security · Computer Science 2017-09-14 Takashi Nakamura , Valentin Goverdovsky , Danilo P. Mandic

In the quest for optimal EEG-based biometric authentication, this study investigates the pivotal balance for accurate identification without sacrificing performance or adding unnecessary computational complexity. Through a methodical…

Cryptography and Security · Computer Science 2024-03-20 Nibras Abo Alzahab , Lorenzo Scalise , Marco Baldi

In this article we present the results of our research related to the study of correlations between specific visual stimulation and the elicited brain's electro-physiological response collected by EEG sensors from a group of participants.…

Machine Learning · Computer Science 2017-08-04 Iaroslav Omelianenko

Transcranial Magnetic Stimulation (TMS) combined with EEG recordings (TMS-EEG) has shown great potential in the study of the brain and in particular of Alzheimer's Disease (AD). In this study, we propose an automatic method of determining…

This research addresses a validated TMS EEG cleaning pipeline and a corresponding benchmark dataset. It evaluates two widely used artifact removal pipelines. A reference dataset of carefully preprocessed EEG signals was established to…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Zhen Tang , Ameer Hamoodi , Stevie Foglia , Aimee Nelson , Zhen Gao

The brain's biological age has been considered as a promising candidate for a neurologically significant biomarker. However, recent results based on longitudinal magnetic resonance imaging data have raised questions on its interpretation. A…

Neurons and Cognition · Quantitative Biology 2023-10-12 Lukas AW Gemein , Robin T Schirrmeister , Joschka Boedecker , Tonio Ball

Electroencephalography (EEG) underpins neuroscience, clinical neurophysiology, and brain-computer interfaces (BCIs), yet pronounced inter- and intra-subject variability limits reliability, reproducibility, and translation. This systematic…

Neurons and Cognition · Quantitative Biology 2026-02-03 Xuan-The Tran , Thien-Nhan Vo , Son-Tung Vu , Thoa-Thi Tran , Manh-Dat Nguyen , Thomas Do , Chin-Teng Lin

Assigning accurate conductivity values in human head models is an essential factor for performing precise electroencephalographic (EEG) source localization and targeting of transcranial electrical stimulation (TES). Unfortunately, the…

Neurons and Cognition · Quantitative Biology 2022-03-11 Hamza Altakroury , Laurent Koessler , Radu Ranta , Janis Hofmanis , Sophie Colnat Coulbois , Louis Maillard , Valérie Louis Dorr

The Electro-Encephalo-Graphy (EEG) technique consists of estimating the cortical distribution of signals over time of electrical activity and also of locating the zones of primary sensory projection. Moreover, it is able to record…

Signal Processing · Electrical Eng. & Systems 2021-12-02 Ridha jarray , Abir Hadriche , Cokri ben Amar , Nawel Jmail

Recent years has witnessed an increase in technologies that use speech for the sensing of the health of the talker. This survey paper proposes a general taxonomy of the technologies and a broad overview of current progress and challenges.…

Neurons and Cognition · Quantitative Biology 2024-08-12 Aki Härmä , Bert den Brinker , Ulf Grossekathofer , Okke Ouweltjes , Srikanth Nallanthighal , Sidharth Abrol , Vibhu Sharma
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