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https://www.readbyqxmd.com/read/28227979/dispersion-entropy-for-the-analysis-of-resting-state-meg-regularity-in-alzheimer-s-disease
#1
Hamed Azami, Mostafa Rostaghi, Alberto Fernandez, Javier Escudero, Hamed Azami, Mostafa Rostaghi, Alberto Fernandez, Javier Escudero, Alberto Fernandez, Javier Escudero, Mostafa Rostaghi, Hamed Azami
Alzheimer's disease (AD) is a progressive degenerative brain disorder affecting memory, thinking, behaviour and emotion. It is the most common form of dementia and a big social problem in western societies. The analysis of brain activity may help to diagnose this disease. Changes in entropy methods have been reported useful in research studies to characterize AD. We have recently proposed dispersion entropy (DisEn) as a very fast and powerful tool to quantify the irregularity of time series. The aim of this paper is to evaluate the ability of DisEn, in comparison with fuzzy entropy (FuzEn), sample entropy (SampEn), and permutation entropy (PerEn), to discriminate 36 AD patients from 26 elderly control subjects using resting-state magnetoencephalogram (MEG) signals...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227947/wireless-eeg-patch-sensor-on-forehead-using-on-demand-stretchable-electrode-sheet-and-electrode-tissue-impedance-scanner
#2
S Yoshimoto, T Araki, T Uemura, T Nezu, M Kondo, K Sasai, M Iwase, H Satake, A Yoshida, M Kikuchi, T Sekitani, S Yoshimoto, T Araki, T Uemura, T Nezu, M Kondo, K Sasai, M Iwase, H Satake, A Yoshida, M Kikuchi, T Sekitani, T Sekitani, M Kikuchi, M Kondo, T Nezu, A Yoshida, S Yoshimoto, H Satake, T Uemura, K Sasai, T Araki, M Iwase
A wireless electroencephalogram (EEG) sensor using a stretchable electrode sheet and electrode-tissue impedance measurement module is presented herein. The sensor can be attached to the forehead using biocompatible gel with the electrode sheet. The sensor is compactly designed for 3 cm × 9 cm × 6 mm with weight of 12 g. Impedance scanning circuit is also proposed to evaluate the skin surface condition before EEG measurements. We developed the impedance scanning board for 3 cm × 5 cm × 3 mm, with weight of 5...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227907/understanding-the-role-of-astrocytic-gaba-in-simulated-neural-networks
#3
Kerstin Lenk, Eero Raisanen, Jari A K Hyttinen, Kerstin Lenk, Eero Raisanen, Jari A K Hyttinen, Kerstin Lenk, Jari Ak Hyttinen, Eero Raisanen
Astrocytes actively influence the behavior of the surrounding neuronal network including changes of the synaptic plasticity and neuronal excitability. These dynamics are altered in diseases like Alzheimer's, where the release of the gliotransmitter GABA is increased by affected, so called reactive astrocytes. In this paper, we aim to simulate a neural network with altered astrocytic GABA release. Therefore, we use our developed neuron-astrocyte model, called INEXA, which includes astrocyte controlled tripartite synapses and the astrocyte-astrocyte interaction...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227897/predicting-rapid-cognitive-decline-in-alzheimer-s-disease-patients-using-quantitative-eeg-markers-and-neuropsychological-test-scores
#4
Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Markus Waser, Heinrich Garn, Manfred Deistler, Peter Dal-Bianco, Thomas Benke, Gerhard Ransmayr, Dieter Grossegger, Reinhold Schmidt, Carmina Reyes-Coronel, Gerhard Ransmayr, Dieter Grossegger, Markus Waser, Peter Dal-Bianco, Thomas Benke, Manfred Deistler, Reinhold Schmidt, Heinrich Garn
Alzheimer's Disease (AD) can take different courses: some patients remain relatively stable while others decline rapidly within a given period of time. Losing more than 3 Mini-Mental State Examination (MMSE) points in one year is classified as rapid cognitive decline (RCD). This study used neuropsychological test scores and quantitative EEG (QEEG) markers obtained at a baseline examination to identify if an AD patient will be suffering from RCD. Data from 68 AD patients of the multi-centric cohort study PRODEM-Austria were applied...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227862/effects-of-high-frequency-rtms-on-sleep-deprivation-a-pilot-study
#5
D P Martinez-Cancino, J Azpiroz-Leehan, L Jimenez-Angeles, A Garcia-Quintanar, R Santana-Miranda, D P Martinez-Cancino, J Azpiroz-Leehan, L Jimenez-Angeles, A Garcia-Quintanar, R Santana-Miranda, A Garcia-Quintanar, L Jimenez-Angeles, R Santana-Miranda, J Azpiroz-Leehan, D P Martinez-Cancino
Transcranial magnetic stimulation is a neurostimulation technique which has the potential to serve as a unique research tool for investigating a wide variety of fields in cognitive neuroscience. TMS has been approved by the FDA to serve as a treatment to depression and has also been used to evaluate its effects among several conditions such as Alzheimer, Parkinson disease, chronic pain and stroke. High frequency TMS has been previously used with the intention to measure and modulate the negative effects of sleep deprivation in cognitive performance, but there is no consensus about the ideal protocol yet...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227861/classification-of-brain-disease-from-magnetic-resonance-images-based-on-multi-level-brain-partitions
#6
Tao Li, Wensheng Zhang, Tao Li, Wensheng Zhang, Wensheng Zhang, Tao Li
In this paper, we present a classification method based on the multi-level brain partitions. Bag-of-visual-words model is used. Firstly, the representative SIFT features are extracted from brain template as the basic visual words. Secondly, individual MR images are described using the basic visual words and support vector machine classifiers are trained for different brain partitions respectively. Thirdly, the final classification is derived from the combination of multiple classifiers. We apply this method to MR images of Alzheimer's disease and Parkinson's disease...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227768/measures-of-the-brain-functional-network-that-correlate-with-alzheimer-s-neuropsychological-test-scores-an-fmri-and-graph-analysis-study
#7
Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh, Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh, Soroosh Golbabaei, Amin Dadashi, Hamid Soltanian-Zadeh
Neural degeneration in Alzheimer's disease (AD) leads to structural topology deformation that in turn changes brain functionality. The main aim of the present study is to find the brain's functional connectivity network (FCN) correlates of Alzheimer's psychological test scores. To this end, the brain's FCN is extracted from the resting state functional magnetic resonance images (rs-fMRI) of healthy controls and patients with AD and represented as a graph. Then, network measures are calculated from the graphs...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227482/assessing-app-quality-through-expert-peer-review-a-case-study-from-the-gray-matters-study
#8
Phillip J Hartin, Ian Cleland, Chris D Nugent, Sally I McClean, JoAnn Tschanz, Christine Clark, Maria C Norton, Phillip J Hartin, Ian Cleland, Chris D Nugent, Sally I McClean, JoAnn Tschanz, Christine Clark, Maria C Norton, JoAnn Tschanz, Christine Clark, Ian Cleland, Maria C Norton, Sally I McClean, Chris D Nugent, Phillip J Hartin
Health apps focused on inciting behavior change are becoming increasingly popular. Nevertheless, many lack underlying evidence base, scientific credibility and have limited clinical effectiveness. It is therefore important that apps are well-informed, scientifically credible, peer reviewed and evidence based. This paper presents the use of the Mobile App Rating Scale (MARS) to assess the quality of the Grey Matters app, a cross platform app to deliver health education material and track behavior change across multi-domains with the aim of reducing the risk of developing Alzheimer's disease...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227395/impaired-episodic-memory-network-in-subjects-at-high-risk-for-alzheimer-s-disease
#9
Yafeng Zhan, Jianhua Ma, Kaibin Xu, Yanhui Ding, Yue Cui, Zhengyi Yang, Yong Liu, Yafeng Zhan, Jianhua Ma, Kaibin Xu, Yanhui Ding, Yue Cui, Zhengyi Yang, Yong Liu, Yanhui Ding, Kaibin Xu, Yue Cui, Yafeng Zhan, Jianhua Ma, Zhengyi Yang, Yong Liu
Episodic memory dysfunction is one of the hallmark symptoms of Alzheimer's disease (AD) and mild cognitive impairment (MCI). This cognitive impairment may be related to abnormal brain structure and activity. Functional connectivity mapping (FCM) analysis provides a powerful tool for exploring the topology of human brain function using magnetic resonance imaging (MRI). Thus, it would be advantageous to investigate the changes in functional connectivity within the episodic memory network in a longitudinal MCI dataset, as it may be helpful in identifying a potential marker of disease progress...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227394/principal-component-analysis-of-the-shape-deformations-of-the-hippocampus-in-alzheimer-s-disease
#10
Xiaoying Tang, Jiong Wu, Xiaoying Tang, Jiong Wu, Xiaoying Tang, Jiong Wu
In this paper, we present the principal component analysis (PCA) of shape deformations of bilateral hippocampi in Alzheimer's disease (AD) as derived in the large deformation diffeomorphic metric mapping setting. We investigated the PCA patterns (the scores and loadings) of the bilateral hippocampi for 51 subjects, 28 of which had AD while 23 were normal aging. Student's t-tests were used to select the components displaying significant group difference for a more purposed analysis. Our findings revealed that the head part of the hippocampus in each hemisphere, to be specific the CA1 and subiculum subregions, contributed the most to the significant group differences...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227108/analysis-of-spontaneous-eeg-activity-in-alzheimer-s-disease-using-cross-sample-entropy-and-graph-theory
#11
Carlos Gomez, Jesus Poza, Javier Gomez-Pilar, Alejandro Bachiller, Celia Juan-Cruz, Miguel A Tola-Arribas, Alicia Carreres, Monica Cano, Roberto Hornero, Carlos Gomez, Jesus Poza, Javier Gomez-Pilar, Alejandro Bachiller, Celia Juan-Cruz, Miguel A Tola-Arribas, Alicia Carreres, Monica Cano, Roberto Hornero, Celia Juan-Cruz, Carlos Gomez, Alicia Carreres, Jesus Poza, Monica Cano, Roberto Hornero, Javier Gomez-Pilar, Alejandro Bachiller, Miguel A Tola-Arribas
The aim of this pilot study was to analyze spontaneous electroencephalography (EEG) activity in Alzheimer's disease (AD) by means of Cross-Sample Entropy (Cross-SampEn) and two local measures derived from graph theory: clustering coefficient (CC) and characteristic path length (PL). Five minutes of EEG activity were recorded from 37 patients with dementia due to AD and 29 elderly controls. Our results showed that Cross-SampEn values were lower in the AD group than in the control one for all the interactions among EEG channels...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227107/a-comparison-of-the-cluster-span-threshold-and-the-union-of-shortest-paths-as-objective-thresholds-of-eeg-functional-connectivity-networks-from-beta-activity-in-alzheimer-s-disease
#12
Keith Smith, Daniel Abasolo, Javier Escudero, Keith Smith, Daniel Abasolo, Javier Escudero, Javier Escudero, Keith Smith, Daniel Abasolo
The Cluster-Span Threshold (CST) is a recently introduced unbiased threshold for functional connectivity networks. This binarisation technique offers a natural trade-off of sparsity and density of information by balancing the ratio of closed to open triples in the network topology. Here we present findings comparing it with the Union of Shortest Paths (USP), another recently proposed objective method. We analyse standard network metrics of binarised networks for sensitivity to clinical Alzheimer's disease in the Beta band of Electroencephalogram activity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227103/inspection-of-short-time-resting-state-electroencephalogram-functional-networks-in-alzheimer-s-disease
#13
Javier Escudero, Keith Smith, Hamed Azami, Daniel Abasolo, Javier Escudero, Keith Smith, Hamed Azami, Daniel Abasolo, Javier Escudero, Keith Smith, Daniel Abasolo, Hamed Azami
Functional connectivity has proven useful to characterise electroencephalogram (EEG) activity in Alzheimer's disease (AD). However, most current functional connectivity analyses have been static, disregarding any potential variability of the connectivity with time. In this pilot study, we compute short-time resting state EEG functional connectivity based on the imaginary part of coherency for 12 AD patients and 11 controls. We derive binary unweighted graphs using the cluster-span threshold, an objective binary threshold...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227007/identification-of-blood-biomarkers-for-use-in-point-of-care-diagnosis-tool-for-alzheimer-s-disease
#14
E Jammeh, P Zhao, C Carroll, S Pearson, E Ifeachor, E Jammeh, P Zhao, C Carroll, S Pearson, E Ifeachor, C Carroll, E Jammeh, E Ifeachor, S Pearson, P Zhao
Early diagnosis of Alzheimer's Disease (AD) is widely regarded as necessary to allow treatment to be started before irreversible damage to the brain occur and for patients to benefit from new therapies as they become available. Low-cost point-of-care (PoC) diagnostic tools that can be used to routinely diagnose AD in its early stage would facilitate this, but such tools require reliable and accurate biomarkers. However, traditional biomarkers for AD use invasive cerebrospinal fluid (CSF) analysis and/or expensive neuroimaging techniques together with neuropsychological assessments...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226981/eeg-epoch-selection-lack-of-alpha-rhythm-improves-discrimination-of-alzheimer-s-disease
#15
Francisco J Fraga, Eliezyer F Oliveira, Paulo A M Kanda, Francisco J Fraga, Eliezyer F Oliveira, Paulo A M Kanda, Eliezyer F Oliveira, Francisco J Fraga, Paulo A M Kanda
In this work we propose a detailed EEG epoch selection method and compare epochs with rare and abundant alpha rhythm (AR) of patients with Alzheimer's disease (AD) and normal controls. Epochs were classified as Dominant Alpha Scenario (DAS) and Rare Alpha Scenario (RAS) according to the AR percentage (energy within the 8-13 Hz bandwidth) in O1, O2 and Oz electrodes. Participants were divided into four groups: 17 DAS controls (N1), 15 DAS mild-AD patients (AD1), 12 RAS controls (N2) and 15 RAS mild-AD patients (AD2)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226665/changes-in-the-eeg-amplitude-as-a-biomarker-for-early-detection-of-alzheimer-s-disease
#16
Ali H Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun, Emmanuel Ifeachor, Ali H Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun, Emmanuel Ifeachor, Emmanuel Jammeh, Lingfen Sun, Ali H Al-Nuaimi, Emmanuel Ifeachor
The rapid increase in the number of older people with Alzheimer's disease (AD) and other forms of dementia represents one of the major challenges to the health and social care systems. Early detection of AD makes it possible for patients to access appropriate services and to benefit from new treatments and therapies, as and when they become available. The onset of AD starts many years before the clinical symptoms become clear. A biomarker that can measure the brain changes in this period would be useful for early diagnosis of AD...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226600/analysis-of-magnetoencephalography-signals-from-alzheimer-s-disease-patients-using-granger-causality
#17
Celia Juan-Cruz, Carlos Gomez, Jesus Poza, Alberto Fernandez, Roberto Hornero, Celia Juan-Cruz, Carlos Gomez, Jesus Poza, Alberto Fernandez, Roberto Hornero, Roberto Hornero, Celia Juan-Cruz, Carlos Gomez, Jesus Poza, Alberto Fernandez
The aim of this study was to analyze resting-state magnetoencephalography (MEG) activity in Alzheimer's disease (AD) by means of Granger Causality (GC), an effective connectivity measure that provides an estimation of the information flow between brain regions. For this task, five minutes of MEG recordings were acquired with a 148-channel whole-head magnetometer from 36 AD patients and 26 healthy controls. Abnormalities in AD connectivity were found in the five typical frequency bands: delta (δ, 1-4 Hz), theta (θ, 4-8 Hz), alpha (α, 8-13 Hz), beta (β, 13-30 Hz), and gamma (γ, 30-65 Hz)...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28225806/capsaicin-reduces-alzheimer-associated-tau-changes-in-the-hippocampus-of-type-2-diabetes-rats
#18
Weijie Xu, Juanhong Liu, Delin Ma, Gang Yuan, Yan Lu, Yan Yang
Type 2 diabetes (T2D) is a high-risk factor for Alzheimer's disease (AD) due to impaired insulin signaling pathway in brain. Capsaicin is a specific transient receptor potential vanilloid 1 (TRPV1) agonist which was proved to ameliorate insulin resistance. In this study, we investigated whether dietary capsaicin could reduce the risk of AD in T2D. T2D rats were fed with capsaicin-containing high fat (HF) diet for 10 consecutive days (T2D+CAP). Pair-fed T2D rats (T2D+PF) fed with the HF-diet of average dose of T2D+CAP group were included to control for the effects of reduced food intake and body weight...
2017: PloS One
https://www.readbyqxmd.com/read/28225792/the-adamts9-gene-is-associated-with-cognitive-aging-in-the-elderly-in-a-taiwanese-population
#19
Eugene Lin, Shih-Jen Tsai, Po-Hsiu Kuo, Yu-Li Liu, Albert C Yang, Chung-Feng Kao, Cheng-Hung Yang
Evidence indicates that the pathophysiologic mechanisms associated with insulin resistance may contribute to cognitive aging and Alzheimer's diseases. In this study, we hypothesize that single nucleotide polymorphisms (SNPs) within insulin resistance-associated genes, such as the ADAM metallopeptidase with thrombospondin type 1 motif 9 (ADAMTS9), glucokinase regulator (GCKR), and peroxisome proliferator activated receptor gamma (PPARG) genes, may be linked with cognitive aging independently and/or through complex interactions in an older Taiwanese population...
2017: PloS One
https://www.readbyqxmd.com/read/28225789/non-melanoma-skin-cancer-and-risk-of-alzheimer-s-disease-and-all-cause-dementia
#20
Sigrun A J Schmidt, Anne G Ording, Erzsébet Horváth-Puhó, Henrik T Sørensen, Victor W Henderson
Cancer patients may be at decreased risk of Alzheimer's disease. This hypothesis is best developed for non-melanoma skin cancer (NMSC), but supportive epidemiological data are sparse. We therefore conducted a nationwide cohort study of the association between NMSC and Alzheimer's disease (main outcome) and all-cause dementia. Using Danish medical databases, we identified adults diagnosed with NMSC between 1 January 1980 and 30 November 2013 (n = 216,221) and a comparison cohort of five individuals matched to each NMSC patient by sex and birth year (n = 1,081,097)...
2017: PloS One
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