160 Hits in 9.0 sec

Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification [article]

Alexandra-Maria Tautan, Elias Casula, Ilaria Borghi, Michele Maiella, Sonia Bonni, Marilena Minei, Martina Assogna, Bogdan Ionescu, Giacomo Koch, Emiliano Santarnecchi
2022 arXiv   pre-print
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 the duration of TMS induced perturbation of the EEG signal as a potential metric reflecting the brain's functional alterations.  ...  The time required for the EEG signal to return to baseline after applying TMS can be useful to characterize the ability of the brain to recover after perturbation, possibly indexing plasticity mechanisms  ... 
arXiv:2205.03241v1 fatcat:uyygcdksnnc53jg7yyntznmlti

Diagnosis of Alzheimer's Disease from EEG Signals: Where Are We Standing?

Justin Dauwels, Francois Vialatte, Andrzej Cichocki
2010 Current Alzheimer Research  
Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony.  ...  This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from electroencephalograms (EEG).  ...  One of the major effects is EEG "slowing"; many studies have shown that Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) causes EEG signals to slow down (see, e.g., [52, 53, 54, 55, 56, 57  ... 
doi:10.2174/1567210204558652050 fatcat:ahfknenhb5hmlkp7mkglxtwvum

Diagnosis of Alzheimers Disease from EEG Signals: Where Are We Standing?

J. Dauwels, F. Vialatte, A. Cichocki
2010 Current Alzheimer Research  
Three major effects of AD on EEG have been observed: slowing of the EEG, reduced complexity of the EEG signals, and perturbations in EEG synchrony.  ...  This paper reviews recent progress in the diagnosis of Alzheimer's disease (AD) from electroencephalograms (EEG).  ...  One of the major effects is EEG "slowing"; many studies have shown that Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) causes EEG signals to slow down (see, e.g., [52, 53, 54, 55, 56, 57  ... 
doi:10.2174/156720510792231720 pmid:20455865 fatcat:feusoo2h5jbsnpgczzel4ljwi4

Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia

Paolo Maria Rossini, Francesca Miraglia, Francesca Alù, Maria Cotelli, Florinda Ferreri, Riccardo Di Iorio, Francesco Iodice, Fabrizio Vecchio
2020 Journal of Personalized Medicine  
Neurodegeneration initially affects synaptic transmission and brain connectivity; methods exploring them would represent a 1st line screening.  ...  such neurological disorders as Alzheimer's disease (AD), characterized by altered connectivity.  ...  Methods improving the signal/noise ratio "separate as much as possible the signal from the noise using information on the specific source under study.  ... 
doi:10.3390/jpm10020034 pmid:32365890 pmcid:PMC7354555 fatcat:srfn4n6ohnhovcxql26exo7vly

Biomarkers in Alzheimer's disease with a special emphasis on event-related oscillatory responses [chapter]

Görsev G. Yener, Erol Başar
2013 Supplements to Clinical Neurophysiology  
Alzheimer's disease (AD) is a devastating neurodegenerative dementing illness. Early diagnosis at the prodromal stage is an important topic of current research.  ...  When simple sensory stimulus is used, a sensory network becomes activated, whereas an oddball task initiates an activation in a sensory network and additionally in a related cognitive network.  ...  Abbreviations Ab42 ¼ amyloid b42 peptide ACh ¼ acetylcholine AD ¼ Alzheimer's disease ADHD ¼ attention deficit hyperactivity disorder ADNI ¼ Alzheimer's disease neuroimaging ınitiative ASSR ¼ auditory  ... 
doi:10.1016/b978-0-7020-5307-8.00020-x pmid:24053044 fatcat:4ebjx3kzozfiff5xrwsmxeqq3u

Proceedings: ISBET 200 – 14th World Congress of the International Society for Brain Electromagnetic Topography, November 19-23, 2003

Yoshio Okada
2003 Brain Topography  
In a second example, an auditory reaction time experiment, similar multiple source models could be created using EEG alone or location seeds based on fMRI BOLD clusters.  ...  This allows to display the on-going EEG, single epochs, and averages with much higher spatial resolution.  ...  MMN is also promising in studying defects in general cortical functions, decay of memory trace duration in, for example, Alzheimer's disease, and problems of specific auditory perceptual abilities in,  ... 
doi:10.1023/b:brat.0000019284.29068.8d fatcat:tpvp3dcojrczjkuzcu3xefyizy

Clinical Concepts Emerging from fMRI Functional Connectomics

Paul M. Matthews, Adam Hampshire
2016 Neuron  
Studies demonstrating the network plasticity possible in adults and the global consequences of even focal brain injuries or disease have had substantial impact on modern concepts of disease evolution and  ...  Applications of functional connectomics in studies of clinical populations are challenging traditional disease classifications and helping to clarify biological relationships between clinical syndromes  ...  In a conceptual extension of this, another group has shown an index of consciousness can be derived from measures of complexity in electrocortical responses to TMS perturbation that is able to distinguish  ... 
doi:10.1016/j.neuron.2016.07.031 pmid:27497220 fatcat:plsrga55wfeh5jr6a7htpbqtw4

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

Harald Hampel, Nicola Toschi, Claudio Babiloni, Filippo Baldacci, Keith L. Black, Arun L.W. Bokde, René S. Bun, Francesco Cacciola, Enrica Cavedo, Patrizia A. Chiesa, Olivier Colliot, Cristina-Maria Coman (+32 others)
2018 Journal of Alzheimer's Disease  
of these candidate dynamic systems biomarkers in different diseases and subgroups at different stages of pathophysiological progression.  ...  path: a combined hypothesis-driven investigation of systems dysfunction within distinct molecular, cellular and large-scale neural network systems in both animal models as well as through tests for the usefulness  ...  Resting state networks are usually studied using time-frequency decomposition of MEG (or EEG) signals. This allows identifying a rich set of resting state networks in distinct frequency bands (e.g.  ... 
doi:10.3233/jad-179932 pmid:29562524 pmcid:PMC6008221 fatcat:j3u6gkzfqbg47kv4o2hpkjadn4
Abstracts for the 17th Turkish Neuroscience Congress, 4–7 April 2019, Trabzon, Turkey

2019 Anatomy (International Journal of Experimental and Clinical Anatomy)  
The present study aims to longitu- study is investigating the variation of EEG signals in terms of dinally investigate changes in event-related response in PD Apnea Hypopnea Index (AHI) during  ...  The the same extent in Alzheimer’s disease. The aim of this study was clinical symptoms of these two disease are different. to test the integrity of flashbulb memories in Alzheimer’s disease.  ... 
doi:10.2399/ana.19.001s fatcat:cxihq27bmbcdzddf4xvqyudqsq

Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain

Leon Stefanovski, Jil Mona Meier, Roopa Kalsank Pai, Paul Triebkorn, Tristram Lett, Leon Martin, Konstantin Bülau, Martin Hofmann-Apitius, Ana Solodkin, Anthony Randal McIntosh, Petra Ritter
2021 Frontiers in Neuroinformatics  
Alzheimer's Disease (AD) is the most common cause of dementia and represents the most prevalent neurodegenerative disease.  ...  Next, we outline the potential to link molecular aspects of neurodegeneration in AD with large-scale brain network modeling using The Virtual Brain (, an open-source, multiscale  ...  Therefore, possible, more specific classifications could be "Alzheimer's disease with dementia" or "Alzheimer's disease with mild cognitive impairment" instead of the currently used term "Alzheimer's dementia  ... 
doi:10.3389/fninf.2021.630172 pmid:33867964 pmcid:PMC8047422 fatcat:khujbqtyxfhwvk66l4azu7hg54

NoLiTiA: An Open-Source Toolbox for Non-linear Time Series Analysis

Immo Weber, Carina R. Oehrn
2022 Frontiers in Neuroinformatics  
Available packages mostly specialize in only one aspect of non-linear time-series analysis and most often require some coding proficiency to use.  ...  The Lorenz system is a classic mathematical model, initially designed to study atmospheric convection.  ...  The plotting tool may be used to analyse electroencephalographic (EEG)-data, as each time series may represent one recorded channel.  ... 
doi:10.3389/fninf.2022.876012 pmid:35811996 pmcid:PMC9263366 fatcat:to4iqkgiorav3pajs2yetnsk7i

Computational psychiatry 2.0 and implications for stress research [article]

Anton A. Pashkov, Mikhail A. Berebin
2018 bioRxiv   pre-print
human or animal, but rather through detecting signals and acting out via bodily systems.  ...  Computational psychiatry toolkit enables us to quantitatively assess the extent of such deviations, to explicitly test competing hypotheses which compare the models with real data for goodness-of-fit and  ...  However, there are only a few studies that use EEG method in studying the phenomenon of microbiota by targeting it by means of pre-, pro-, and antibiotics. For example, A.P.  ... 
doi:10.1101/483164 fatcat:wqkskqn4ird4nnbfh47dkdvlba

Cortical Circuit Dysfunction as a Potential Driver of Amyotrophic Lateral Sclerosis

Aurore Brunet, Geoffrey Stuart-Lopez, Thibaut Burg, Jelena Scekic-Zahirovic, Caroline Rouaux
2020 Frontiers in Neuroscience  
on ALS patients, along with electrophysiological, pathological and transcriptomic studies on animal and cellular models of the disease, in order to evaluate the potential cellular and molecular origins  ...  Here, we discuss the possibility that initial cortical circuit dysfunction might act as the main driver of ALS onset and progression, and review recent functional, imaging and transcriptomic studies conducted  ...  However, these studies did not investigate or report on dopaminergic signaling onto the motor cortex itself.  ... 
doi:10.3389/fnins.2020.00363 pmid:32410944 pmcid:PMC7201269 fatcat:66cevdajb5bkrjhd3mcxbr5ssa

30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts

2021 Journal of Computational Neuroscience  
Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes.  ...  One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized  ...  Acknowledgements This study has been carried out using HSE unique equipment (Reg. num 354,937) and supported by the RF Government grant ag. № 075-15-2021-673.  ... 
doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu

Arizona battery of communication disorders of dementia for evaluation of cognitive impairment in PD and early diagnosis of PDD. [Proceeding]

Dionysios Tafiadis, Messinis Labros, Chondrogiorgi Maria, Konitsiotis Spyridon, Nasios Grigorios
2017 Figshare  
Proceeding @ 10th Panhellenic Conference on Alzheimer's Disease and Related Disorders and 2nd Mediterranean Conference on Neurodegenerative Diseases  ...  Bibliography Acknowledgements Athens Alzheimer Association of Alzheimer's Disease and Related Disorders appreciate the information that the innovAge WP3 consortium has provided for this article.  ...  Thomopoulos of Cell biology at the School of Biology (AUTh) for his permission to use his textbook, -Programmed Cell Death‖, as guidance for this paper.  ... 
doi:10.6084/m9.figshare.5260198.v2 fatcat:74dsspsfejcfvaed472xnoid7y
« Previous Showing results 1 — 15 out of 160 results