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EEG Analysis of the Contribution of Music Therapy and Virtual Reality to the Improvement of Cognition in Alzheimer’s Disease

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Journal of Biomedical Science and Engineering 2020年第8期13卷 187-201页

作者： alexie byrns Hamdi Ben Abdessalem Marc Cuesta Marie-Andrée Bruneau Sylvie Belleville Claude Frasson Département d’Informatique et de Recherche Opérationnelle Université de Montréal Montréal Canada Centre de Recherche de l’Institut de Gériatrie de Montréal Montréal Canada

Alzheimer’s disease is the most common form of dementia, affecting nearly 9.9 million new people every year. The disease provokes important memory and cognitive impairment, eventually causing individuals to forget their loved ones and rendering them completely dependent on their caretakers. Alzheimer’s patients typically experience more negative emotions, such as frustration and apathy, than healthy older adults. There is currently no cure for the disease. Our research group explores how the integration of virtual reality (VR) and an EEG-based intelligent agent in music therapy can alleviate psychological and cognitive symptoms of the disease. We propose a theory explaining how, through activation of the brain reward system, music can reduce negative emotions, increase positive emotions and as a result increase performance on cognitive tasks. The results of our experimental study concord with our theory: emotional states of participants are improved, as per recorded through EEG, and performances on memory tasks show improvement following the intervention. We believe that the combination of EEG brain assessment, VR and music therapy is a promising method for emotional states and cognitive symptoms of Alzheimer’s disease.

关键词： Alzheimer’s Disease Brain Assessment Virtual Reality Music Therapy Neurofeedback Memory Cognition

*** response to visual contrast varies as function of the cortical layer

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Annals of Eye Science 2018年第1期 456-456页

作者： alexie-Emma byrns Nelson Cortes Visou Ady Christian Casanova Laboratoire des neurosciences de la vision School of OptometryUniversitéde MontréalMontréalQCCanada

Background:For years,studies using several animal models have highlighted the predominant role of the primary visual area in visual information *** six cortical layers have morphological,hodological and physiological differences,although their roles regarding the integration of visual contrast and the messages sent by the layers to other brain regions have been poorly *** that cortical layers have distinct properties,this study aims to understand these differences and how they are affected by a changing visual ***:A linear multi-channel electrode was placed in the primary visual cortex(V1)of the anesthetized mouse to record neuronal activity across the different cortical *** laminar position of the electrode was verified in real time by measuring the current source density(CSD)and the multi-unit activity(MUA),and confirmed post-mortem by histological *** gratings varying in contrast enabled the measurement of the firing rate of neurons throughout *** fitted this data to the Naka-Rushton equations,which generated the contrast response function(CRF)of ***:The analysis revealed that the baseline activity as well as the rate of change of neural discharges(the slope of the CRF)had a positive correlation across the cortical *** addition,we found a trend between the cortical position and the contrast evoking the semi-saturation of the activity.A significant difference in the maximum discharge rate was also found between layers II/III and IV,as well as between layers II/III and ***:Since layers II/III and V process visual contrast differently,our results suggest that higher cortical visual areas,as well subcortical regions,receive different information regarding a change in visual ***,a contrast may be processed differently throughout the different areas of the visual cortex.

关键词： Electrophysiology primary visual cortex contrast response function(CRF) current source density(CSD)

AB052.A standardized quantification of the visual contrast response function

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Annals of Eye Science 2018年第1期 458-458页

作者： Marc Demers Nelson Cortes Visou Ady Bruno Oliveira alexie byrns Olivia Bibollet-Bahena Christian Casanova École Polytechnique de Montréal MontréalQCCanada Laboratoire des neurosciences de la vision École d'OptométrieUniversitéde MontréalMontréalQCCanada

Background:All neurons of the visual system exhibit response to differences in *** neural response to visual contrast,also known as the contrast response function(CRF),follows a characteristic sigmoid shape that can be fitted with the Naka-Rushton *** parameters define the CRF,and they are often used in different visual research disciplines,since they describe selective variations of neural *** novel technologies have grown,the capacity to record thousands of neurons simultaneously brings new challenges:processing and robustly analyzing larger amounts of data to maximize the outcomes of our experimental ***,current guidelines to fit neural activity based on the Naka-Rushton equation have been poorly discussed in *** this study,we explore several methods of boundary-setting and least-square curve-fitting for the CRF in order to avoid the pitfalls of blind ***,we intend to provide recommendations for experimenters to better prepare a solid quantification of CRF parameters that also minimize the time of the data *** this purpose,we have created a simplified theoretical model of spike-response dynamics,in which the firing rate of neurons is generated by a Poisson *** spike trains generated by the theoretical model depending on visual contrast intensities were then fitted with the Naka-Rushton *** allowed us to identify combinations of parameters that were more important to adjust before performing experiments,to optimize the precision and efficiency of curve fitting(e.g.,boundaries of CRF parameters,number of trials,number of contrast tested,metric of contrast used and the effect of including multi-unit spikes into a single CRF,among others).Several goodness-of-fit methods were also examined in order to achieve ideal *** this approach,it is possible to anticipate the minimal requirements to gather and analyze data in a more efficient way in order to build s

关键词： Contrast response function analysis neuron

Optimizing Alzheimer’s Disease Therapy Using a Neural Intelligent Agent-Based Platform

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A Roadmap for Whitefly Genomics Research:Lessons from Previous Insect Genome Projects

International Journal of Intelligence Science（智能科学国际期刊） 2021年第2期

作者： Hamdi Ben Abdessalem alexie byrns Claude Frasson

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Journal of Integrative Agriculture 2012年第2期11卷 269-280页

作者： Owain Rhys Edwards alexie Papanicolaou CSIRO Ecosystem Sciences WembleyWA 6913Australia CSIRO Ecosystem Sciences CanberraACT 2601Australia

Due to evolving molecular and informatics technologies,modern genome sequencing projects have more different characteristics than what most biologists have become accustomed to during the capillary-based sequencing *** this paper,we explore the characteristics that made past insect genome projects successful and place them in the context of next-generation *** taking into account the intricacies of whitefly biology and the community,we present a roadmap for whitefly-omics,which focuses on the formation of an international consortium,deployment of informatic platforms and realistic generation of reference sequence data.

关键词： whole genome sequencing next generation sequencing transcriptome genome consortium white paper

Characterization of sensory neuron membrane proteins(SNMPs)in cotton bollworm Helicoverpa armigera(Lepidoptera:Noctuidae)

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Insect Science 2021年第3期28卷 769-779页

作者： Wei Xu Huijie Zhang Yalin Liao alexie Papanicolaou Department of Agricultural Sciences Murdoch UniversityMurdochAustralia Key Laboratory of Biochemistry and Molecular Pharma-cology of Chongqing Chongqing Medical UniversityChongqingChina State Key Laboratory of Silkworm Genome Biology Southwest UniversityChongqingChina Hawkesbury Institute for the Environment Western Sydney UniversityRichmondAustralia

Sensory neuron membrane proteins(SNMPs)play a critical role in insect chemosensory ***,three SNMPs were identified,characterized and functionally investigated in a lepidopteran model insect,Bombyx ***,whether these results are consistent across other lepidopteran species are *** genome and transcriptome data analysis,expression profiling,quantitative real-time PCR(qRT-PCR)and the yeast hybridization system were utilized to examine snmp genes of Helicoverpa armigera,one of the most destructive lepidopteran pests in cropping *** silico expression and qRT-PCR analyses showed that,just as the *** snmp genes,*** snmpl(Harmsnmpl)is specifically expressed in adult ***2 is broadly expressed in multiple tissues including adult antennae,tarsi,larval antennae and ***3 is specifically expressed in larval *** RNAseq analysis suggested that the expression levels of Harmsnmp2 and Harmsnmp3 differed significantly depending on the plant species on which the larvae fed,indicating they may be involved in plant-feeding *** hybridization results revealed a protein-protein interaction between HarmSNMPl and the sex pheromone receptor,*** study demonstrated that SNMPs may share same functions and mechanisms in different lepidopteran species,which improved our understanding of insect snmp genes and their functions in lepidopterans.

关键词： expression profile insect olfactory system insect-plant interaction qRT-PCR

On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events

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npj Computational Materials 2020年第1期6卷 1502-1512页

作者： Jonathan Vandermause Steven B.Torrisi Simon Batzner Yu Xie Lixin Sun alexie M.Kolpak Boris Kozinsky Department of Physics Harvard UniversityCambridgeMA 02138USA John A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMA 02138USA Center for Computational Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Department of Mechanical Engineering Massachusetts Institute of TechnologyCambridgeMA 02139USA Bosch Research CambridgeMA 02139USA

Machine learned force fields typically require manual construction of training sets consisting of thousands of first principles calculations,which can result in low training efficiency and unpredictable errors when applied to structures not represented in the training set of the *** severely limits the practical application of these models in systems with dynamics governed by important rare events,such as chemical reactions and *** present an adaptive Bayesian inference method for automating the training of interpretable,low-dimensional,and multi-element interatomic force fields using structures drawn on the fly from molecular dynamics *** an active learning framework,the internal uncertainty of a Gaussian process regression model is used to decide whether to accept the model prediction or to perform a first principles calculation to augment the training set of the *** method is applied to a range of single-and multi-element systems and shown to achieve a favorable balance of accuracy and computational efficiency,while requiring a minimal amount of ab initio training *** provide a fully opensource implementation of our method,as well as a procedure to map trained models to computationally efficient tabulated force fields.

关键词： fields element typically

Clinical applications of advanced magnetic resonance imaging techniques for arthritis evaluation

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World Journal of Orthopedics 2017年第9期8卷 660-673页

作者： Teodoro Martín Noguerol Antonio Luna Marta Gómez Cabrera alexie D Riofrio MRI Unit Clínica Las Nieves SERCOSA Health Time Department of Radiology University Hospitals of Cleveland Case Western Reserve University MRI Unit DADISA Health Time Department of Radiology Duke Regional Hospital

Magnetic resonance imaging(MRI) has allowed a comprehensive evaluation of articular disease, increasing the detection of early cartilage involvement, bone erosions, and edema in soft tissue and bone marrow compared to other imaging techniques. In the era of functional imaging, new advanced MRI sequences are being successfully applied for articular evaluation in cases of inflammatory, infectious, and degenerative arthropathies. Diffusion weighted imaging, new fat suppression techniques such as DIXON, dynamic contrast enhanced-MRI, and specific T2 mapping cartilage sequences allow a better understanding of the physiopathological processes that underlie these different arthropathies. They provide valuable quantitative information that aids in their differentiation and can be used as potential biomarkers of articular disease course and treatment response.

关键词： Magnetic resonance imaging Joint Diffusion weighted imaging Dynamic contrast enhanced Musculoskeletal system Cartilage DIXON Arthritis

A Role for GIBBERELLIN 2-OXIDASE6 and Gibberellins in Regulating Nectar Production

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Molecular Plant 2016年第5期9卷 753-756页

作者： Lisa B. Wiesen Ricci L. Bender Travis Paradis alexie Larson M. Ann D.N. Perera Basil J. Nikolau Neil E. Olszewski Clay J. Carter Department of Plant Biology University of Minnesota Saint PaulMN 55108 USA Department of Biochemistry Biophysics & Molecular Biology Iowa State University Ames IA 50011 USA W.M.Keck Metabolomics Research Laboratory Iowa State University Ames IA 50011 USA Department of Plant Biology University of Minnesota Twin Cities 1445 Gortner Avenue 250 Biological Sciences Center Saint Paul MN 55108 USA

Dear Editor The regulation of nectar production is dependent on hormonal signaling. For example, Arabidopsis PIN6, which encodes an auxin efflux transporter family protein, was identified as a nectary-enriched gene whose expression level was positively correlated to total nectar production （Bender et al., 2013）. Furthermore, jasmonic acid （JA） levels peak in Brassica flowers just prior to anthesis and promote nectar secretion （Radhika et al., 2010）. While auxin and JA have been demonstrated to play roles in the regulation of nectar production,

关键词： GIBBERELLIN Gibberellins Production