The Experts below are selected from a list of 6282 Experts worldwide ranked by ideXlab platform
Katharina S Rufener - One of the best experts on this subject based on the ideXlab platform.
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age related Neural Oscillation patterns during the processing of temporally manipulated speech
Brain Topography, 2016Co-Authors: Katharina S Rufener, Mathias S Oechslin, Malte Wostmann, Volker Dellwo, Martin MeyerAbstract:This EEG-study aims to investigate age-related differences in the Neural Oscillation patterns during the processing of temporally modulated speech. Viewing from a lifespan perspective, we recorded the electroencephalogram (EEG) data of three age samples: young adults, middle-aged adults and older adults. Stimuli consisted of temporally degraded sentences in Swedish-a language unfamiliar to all participants. We found age-related differences in phonetic pattern matching when participants were presented with envelope-degraded sentences, whereas no such age-effect was observed in the processing of fine-structure-degraded sentences. Irrespective of age, during speech processing the EEG data revealed a relationship between envelope information and the theta band (4-8 Hz) activity. Additionally, an association between fine-structure information and the gamma band (30-48 Hz) activity was found. No interaction, however, was found between acoustic manipulation of stimuli and age. Importantly, our main finding was paralleled by an overall enhanced power in older adults in high frequencies (gamma: 30-48 Hz). This occurred irrespective of condition. For the most part, this result is in line with the Asymmetric Sampling in Time framework (Poeppel in Speech Commun 41:245-255, 2003), which assumes an isomorphic correspondence between frequency modulations in neurophysiological patterns and acoustic Oscillations in spoken language. We conclude that speech-specific Neural networks show strong stability over adulthood, despite initial processes of cortical degeneration indicated by enhanced gamma power. The results of our study therefore confirm the concept that sensory and cognitive processes undergo multidirectional trajectories within the context of healthy aging.
Martin Meyer - One of the best experts on this subject based on the ideXlab platform.
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age related Neural Oscillation patterns during the processing of temporally manipulated speech
Brain Topography, 2016Co-Authors: Katharina S Rufener, Mathias S Oechslin, Malte Wostmann, Volker Dellwo, Martin MeyerAbstract:This EEG-study aims to investigate age-related differences in the Neural Oscillation patterns during the processing of temporally modulated speech. Viewing from a lifespan perspective, we recorded the electroencephalogram (EEG) data of three age samples: young adults, middle-aged adults and older adults. Stimuli consisted of temporally degraded sentences in Swedish-a language unfamiliar to all participants. We found age-related differences in phonetic pattern matching when participants were presented with envelope-degraded sentences, whereas no such age-effect was observed in the processing of fine-structure-degraded sentences. Irrespective of age, during speech processing the EEG data revealed a relationship between envelope information and the theta band (4-8 Hz) activity. Additionally, an association between fine-structure information and the gamma band (30-48 Hz) activity was found. No interaction, however, was found between acoustic manipulation of stimuli and age. Importantly, our main finding was paralleled by an overall enhanced power in older adults in high frequencies (gamma: 30-48 Hz). This occurred irrespective of condition. For the most part, this result is in line with the Asymmetric Sampling in Time framework (Poeppel in Speech Commun 41:245-255, 2003), which assumes an isomorphic correspondence between frequency modulations in neurophysiological patterns and acoustic Oscillations in spoken language. We conclude that speech-specific Neural networks show strong stability over adulthood, despite initial processes of cortical degeneration indicated by enhanced gamma power. The results of our study therefore confirm the concept that sensory and cognitive processes undergo multidirectional trajectories within the context of healthy aging.
Sandra B Chapman - One of the best experts on this subject based on the ideXlab platform.
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event related Neural Oscillation changes following reasoning training in individuals with mild cognitive impairment
Brain Research, 2019Co-Authors: Raksha A Mudar, Lydia T Nguyen, Justin Eroh, Hsuehsheng Chiang, Audette Rackley, Sandra B ChapmanAbstract:Abstract Emerging evidence suggests cognitive training programs targeting higher-order reasoning may strengthen not only cognitive, but also Neural functions in individuals with Mild Cognitive Impairment (MCI). However, research on direct measures of training-induced Neural changes, derivable from electroencephalography (EEG), is limited. The current pilot study examined effects of Gist Reasoning training (n = 16) compared to New Learning training (n = 16) in older adults with amnestic MCI on measures of event-related Neural Oscillations (theta and alpha band power) corresponding to Go/NoGo tasks during basic and superordinate semantic categorization. EEG data were recorded while participants performed the Go/NoGo task pre- and post-training, and power in theta and alpha frequency bands was examined. Both groups were comparable at pre-training on all measures and both groups showed greater event-related theta synchronization post-training. Furthermore, the Gist Reasoning group had enhanced event-related desynchronization in low-frequency alpha band (8–10 Hz) on response inhibition (NoGo) trials and high-frequency alpha band (11–13 Hz) on response execution (Go) trials during superordinate categorization, relative to the New Learning group. These findings suggest that Gist Reasoning training in MCI impacted Neural processing linked to strategic processing of Go and NoGo trials during the more complex superordinate categorization task. Targeting higher-order top-down cognitive processing seems to better harness residual neuroplastic potential in MCI. ClinicalTrials.gov ID: NCT02588209.
Tao Zhang - One of the best experts on this subject based on the ideXlab platform.
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over expressed mst1 impaired spatial memory via disturbing Neural Oscillation patterns in mice
Genes Brain and Behavior, 2020Co-Authors: Yingchun Shang, Yuxing Yan, Bin Chen, Jianhai Zhang, Tao ZhangAbstract:The activated mammalian Ste20-like serine/threonine kinases 1 (MST1) was found in the central nervous system diseases, such as cerebral ischemia, stroke and ALS, which were related with cognitions. The aim of this study was to examine the effect of elevated MST1 on memory functions in C57BL/6J mice. We also explored the underlying mechanism about the pattern alteration of Neural Oscillations, closely associated with cognitive dysfunctions, at different physiological rhythms, which were related to a wide range of basic and higher-level cognitive activities. A mouse model of the adeno-associated virus (AAV)-mediated overexpression of MST1 was established. The behavioral experiments showed that spatial memory was significantly damaged in MST1 mice. The distribution of either theta or gamma power was clearly disturbed in MST1 animals. Moreover, the synchronization in both theta and gamma rhythms, and theta-gamma cross-frequency coupling were significantly weakened in MST1 mice. In addition, the expressions of GABAA receptor, GAD67 and parvalbumin (PV) were obviously increased in MST1 mice. Meanwhile, blocking MST1 activity could inhibit the activation of FOXO3a and YAP. The above data suggest that MST1-overexpression may induce memory impairments via disturbing the patterns of Neural activities, which is possibly associated with the abnormal GABAergic expression level.
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Neural Oscillations and information flow associated with synaptic plasticity.
Sheng li xue bao : [Acta physiologica Sinica], 2011Co-Authors: Tao ZhangAbstract:As a rhythmic Neural activity, Neural Oscillation exists all over the nervous system, in structures as diverse as the cerebral cortex, hippocampus, subcortical nuclei and sense organs. This review firstly presents some evidence that synchronous Neural Oscillations in theta and gamma bands reveal much about the origin and nature of cognitive processes such as learning and memory. And then it introduces the novel analyzing algorithms of Neural Oscillations, which is a directionality index of Neural information flow (NIF) as a measure of synaptic plasticity. An example of application used such an analyzing algorithms of Neural Oscillations has been provided.
Louis A Schmidt - One of the best experts on this subject based on the ideXlab platform.
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neurodevelopmental differences to social exclusion an event related Neural Oscillation study of children adolescents and adults
Emotion, 2019Co-Authors: Alva Tang, Ayelet Lahat, Michael J Crowley, Louis A SchmidtAbstract:Although the Neural correlates of social exclusion have been well-documented, most studies have examined single age groups. No studies have directly compared specific age-related differences in social exclusion across children, adolescents, and adults using event-related oscillatory electroencephalogram (EEG) dynamics. The authors examined event-related theta EEG power and phase coherence in fair play and social exclusion conditions during the Cyberball task in 166 participants: 42 children (ages 10-12), 56 adolescents (ages 14-17), and 68 adults (ages 18-28). Children and adolescents displayed the greatest theta power to rejection events, whereas adults displayed the greatest theta power to "not my turn" events. Moreover, the functional link between theta power to rejection and self-reported distress was strongest among the adolescents. These findings suggest that an enhanced Neural response to social exclusion is present by preadolescence, but the association between Neural and subjective responses is most prominent during adolescence. (PsycINFO Database Record (c) 2019 APA, all rights reserved).