Littoral Environnement et Sociétés (LIENSs), UMR 7266, CNRS-Université de La Rochelle, 2 Rue Olympe de Gouges, 17042, La Rochelle Cedex 01, France. tamas.malkocs@gmail.com.
Pál Juhász-Nagy Doctoral School of Biology and Environmental Sciences, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Biology and Ecology, University of Debrecen, Egyetem tér 1, 4032, Debrecen, Hungary. tamas.malkocs@gmail.com.
Institute of Aquatic Ecology, Centre for Ecological Research, 4026, Debrecen, Hungary. tamas.malkocs@gmail.com.
Ctedra Diversidad Animal I and Laboratorio de Virologa y Gentica Molecular; Facultad de Ciencias Naturales y Ciencias de la Salud; Universidad Nacional de la Patagonia San Juan Bosco; 9 de Julio y Belgrano s/n; 9100 Trelew; Chubut; ARGENTINA. jgloreley@gmail.com.
Museo Argentino de Ciencias Naturales Bernardino Rivadavia; Av. ngel Gallardo 470; C1405DJR Ciudad Autnoma de Buenos Aires; ARGENTINA. gpastorino@macn.gov.ar.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: gsmedley@iastate.edu.
Department of Zoology, University of São Paulo, Rua do Matão, Travessa 14, n. 101, 05508-090 São Paulo, SP, Brazil. Electronic address: jorgeaudino@ib.usp.br.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: courtney.grula@ndsu.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aporathk@umn.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: apairett@iastate.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: aalejand@whittier.edu.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: felicity.masters@research.usc.edu.au.
Faculty of Science, Health, Education, and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia. Electronic address: pduncan@usc.edu.au.
Department of Invertebrate Zoology, National Museum of National History, Smithsonian Institution, 10th and Constitution Ave NW, Washington, DC 20560, USA. Electronic address: StrongE@si.edu.
Department of Evolution, Ecology, and Organismal Biology, Iowa State University, 2200 Osborn Dr, 251 Bessey Hall, Ames, IA 50011, USA. Electronic address: serb@iastate.edu.
Electroencephalography (EEG) is a crucial tool in cognitive neuroscience, enabling the study of neurophysiological function by measuring the brain's electrical activity. Its applications include perce...
Young onset dementia (YOD) is a major diagnostic and management problem....
We set out to explore if electroencephalography (EEG) might be useful in the diagnosis of young onset Alzheimer's disease (YOAD) and young onset frontotemporal dementia (YOFTD). The ARTEMIS project is...
80.9% of patients with YOD had abnormal EEGs (P < 0.00001). Slow wave changes were more frequent in YOAD that YOFTD (P < 0.00001), but no difference in the frequency of epileptiform activity (P = 0.32...
The EEG is highly specific for the diagnosis of YOD with the absence of slow wave changes and epileptiform phenomena making the diagnosis unlikely, with 100% negative predictive value and with low pro...
Dry electroencephalography (EEG) electrodes provide rapid, gel-free, and easy EEG preparation, but with limited wearing comfort. We propose a novel dry electrode comprising multiple tilted pins in a f...
The c-grid (ear-electroencephalography, sold under the name cEEGrid) is an unobtrusive and comfortable electrode array that can be used for investigating brain activity after affixing around the ear. ...
Research on racial bias in social and cognitive psychology has focused on automatic cognitive processes such as categorisation or stereotyping. Neuroimaging has revealed differences in the neural circ...
This dataset consists of raw 64-channel EEG, cardiovascular (electrocardiography and photoplethysmography), and pupillometry data from 86 human participants recorded during 4 minutes of eyes-closed re...
Simultaneous scalp electroencephalography and functional magnetic resonance imaging (EEG-fMRI) enable noninvasive assessment of brain function with high spatial and temporal resolution. However, at ul...
Electromagnetic field simulations and MR measurements assessed the shielding effect of the EEG setup, more specifically the EEG wiring. The effectiveness of segmenting the wiring with resistors to red...
The EEG wiring was found to exert a dominant effect on the disruption of the transmit field, whose intensity varied periodically as a function of the wire length. Breaking the electrical continuity of...
We demonstrated that segmenting the EEG wiring into shorter lengths using commercially available nonmagnetic resistors is effective at reducing RF shielding artifacts in simultaneous EEG-fMRI. This pr...
Electroencephalography (EEG)-based electrophysiological techniques have made progress in diagnosing and treating alcohol dependence in recent years....
The article reviews the latest literature in this field....
Alcohol dependence, which is common and prone to relapsing, poses a serious threat to individuals, families, and society. At present, the objective detection methods for alcohol dependence in clinic a...
As electrophysiological techniques developed in psychiatry, some researches on EEG-based monitoring methods such as resting electroencephalography (REEG), event-related potentials (ERP), event-related...
In this paper, the status of electrophysiological researches on EEG in alcoholics are reviewed in detail....
Advanced analysis of electroencephalography (EEG) data has become an essential tool in brain research. Based solely on resting state EEG signals, a data-driven, predictive and explanatory approach is ...
Three minutes long, 64 electrode resting-state recordings were obtained from 180 DPN patients. The analysis consisted of a mixture of traditional, explanatory and machine learning analyses. First, the...
Predictive analysis indicated that theta and beta bands contain most of the information required for discrimination between painful and non-painful polyneuropathy patients, with area under the receive...
Resting state EEG functional connectivity can serve as a highly accurate biomarker for the presence or absence of pain in DPN patients. This highlights the importance of the brain, in addition to the ...
Depression is a common mental disorder that impacts millions of people across the world. However, its diagnosis is difficult due to the dependence on subjective testing. Although quantitative electroe...
We used open-access EEG data from OpenNeuro to investigate power ratios in the resting state of 46 patients with depression and 75 healthy controls. Spectral data were extracted by fast Fourier transf...
Decreased anterior frontal, frontal, central, parietal, occipital, and temporal ABR and decreased central and parietal TBR were observed in the depression group. The area under the curve of the ROC cu...
The central, frontal, and parietal ABR represent potential biomarkers to differentiate patients with depression from healthy controls....