The Experts below are selected from a list of 23268 Experts worldwide ranked by ideXlab platform
Rita M Cantor - One of the best experts on this subject based on the ideXlab platform.
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qtl replication and targeted association highlight the nerve growth factor gene for Nonverbal Communication deficits in autism spectrum disorders
Molecular Psychiatry, 2013Co-Authors: J Yoon, Daniel H Geschwind, Rita M CantorAbstract:Autism Spectrum Disorder (ASD) has a heterogeneous etiology that is genetically complex. It is defined by deficits in Communication and social skills and the presence of restricted and repetitive behaviors. Genetic analyses of heritable quantitative traits that correlate with ASD may reduce heterogeneity. With this in mind, deficits in Nonverbal Communication (NVC) were quantified based on items from the Autism Diagnostic Interview Revised. Our previous analysis of 228 families from the Autism Genetics Research Exchange (AGRE) repository reported 5 potential quantitative trait loci (QTL). Here we report an NVC QTL replication study in an independent sample of 213 AGRE families. One QTL was replicated (P<0.0004). It was investigated using a targeted-association analysis of 476 haplotype blocks with 708 AGRE families using the Family Based Association Test (FBAT). Blocks in two QTL genes were associated with NVC with a P-value of 0.001. Three associated haplotype blocks were intronic to the Nerve Growth Factor (NGF) gene (P=0.001, 0.001, 0.002), and one was intronic to KCND3 (P=0.001). Individual haplotypes within the associated blocks drove the associations (0.003, 0.0004 and 0.0002) for NGF and 0.0001 for KCND3. Using the same methods, these genes were tested for association with NVC in an independent sample of 1517 families from an Autism Genome Project (AGP). NVC was associated with a haplotype in an adjacent NGF block (P=0.0005) and one 46 kb away from the associated block in KCND3 (0.008). These analyses illustrate the value of QTL and targeted association studies for genetically complex disorders such as ASD. NGF is a promising risk gene for NVC deficits.
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quantitative trait locus analysis of Nonverbal Communication in autism spectrum disorder
Molecular Psychiatry, 2006Co-Authors: G K Chen, N Kono, Daniel H Geschwind, Rita M CantorAbstract:Autism spectrum disorder (ASD) is a neurodevelopmental syndrome marked by impairments in social interactive functioning and Communication skills, and the presence of repetitive and restrictive behaviors. Twin and linkage studies provide evidence that ASD is heritable and genetically complex. Genetic analyses of familial quantitative traits in those with ASD may help to reveal underlying risk genes. We report a quantitative trait locus (QTL) analysis of Nonverbal Communication (NVC) in 228 families from the autism genetics resource exchange (AGRE) ascertained for at least two siblings with ASD. QTL at 1p13–q12, 4q21–25, 7q35, 8q23–24, and 16p12–13 indicate that genes at these loci may contribute to the variation in NVC among those with ASD. Using the criteria of Lander and Kruglyak, the QTL at 1p13–q12 is ‘suggestive’, while the other four are ‘possible’. To assess whether these QTL are likely to harbor genes contributing specifically to the deficits in NVC, linkage analysis of ASD sibships with the most severe NVC scores was conducted. The sibships were identified by ordered-subset analyses (OSA), and families with the most severe NVC scores displayed lod scores of 3.4 at 8q23–24 and 3.8 at 16p12–13, indicating that these two regions are likely to harbor gene(s) contributing to ASD by predisposing to deficits in NVC.
Carol Hutner Winograd - One of the best experts on this subject based on the ideXlab platform.
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physical therapists Nonverbal Communication predicts geriatric patients health outcomes
Psychology and Aging, 2002Co-Authors: Nalini Ambady, Jasook Koo, Robert Rosenthal, Carol Hutner WinogradAbstract:Two studies explored the link between health care providers' patterns of Nonverbal Communication and therapeutic efficacy. In Study 1, physical therapists were videotaped during a session with a client. Brief samples of therapists' Nonverbal behavior were rated by naive judges. Judges' ratings were then correlated with clients' physical, cognitive, and psychological functioning at admission, at discharge, and at 3 months following discharge. Therapists' distancing behavior was strongly correlated with short- and long-term decreases in their clients' physical and cognitive functioning. Distancing was expressed through a pattern of not smiling and looking away from the client. In contrast, facial expressiveness, as revealed through smiling, nodding, and frowning, was associated with short- and long-term improvements in functioning. In Study 2, elderly subjects perceived distancing behaviors of therapists more negatively than positive behaviors.
Mitsuru Kikuchi - One of the best experts on this subject based on the ideXlab platform.
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job interview training targeting Nonverbal Communication using an android robot for individuals with autism spectrum disorder
Autism, 2019Co-Authors: Hirokazu Kumazaki, Taro Muramatsu, Yuichiro Yoshikawa, Blythe A Corbett, Yoshio Matsumoto, Haruhiro Higashida, Teruko Yuhi, Hiroshi Ishiguro, Masaru Mimura, Mitsuru KikuchiAbstract:Job interviews are significant barriers for individuals with autism spectrum disorder because these individuals lack good Nonverbal Communication skills. We developed a job interview training progr...
Daniel H Geschwind - One of the best experts on this subject based on the ideXlab platform.
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qtl replication and targeted association highlight the nerve growth factor gene for Nonverbal Communication deficits in autism spectrum disorders
Molecular Psychiatry, 2013Co-Authors: J Yoon, Daniel H Geschwind, Rita M CantorAbstract:Autism Spectrum Disorder (ASD) has a heterogeneous etiology that is genetically complex. It is defined by deficits in Communication and social skills and the presence of restricted and repetitive behaviors. Genetic analyses of heritable quantitative traits that correlate with ASD may reduce heterogeneity. With this in mind, deficits in Nonverbal Communication (NVC) were quantified based on items from the Autism Diagnostic Interview Revised. Our previous analysis of 228 families from the Autism Genetics Research Exchange (AGRE) repository reported 5 potential quantitative trait loci (QTL). Here we report an NVC QTL replication study in an independent sample of 213 AGRE families. One QTL was replicated (P<0.0004). It was investigated using a targeted-association analysis of 476 haplotype blocks with 708 AGRE families using the Family Based Association Test (FBAT). Blocks in two QTL genes were associated with NVC with a P-value of 0.001. Three associated haplotype blocks were intronic to the Nerve Growth Factor (NGF) gene (P=0.001, 0.001, 0.002), and one was intronic to KCND3 (P=0.001). Individual haplotypes within the associated blocks drove the associations (0.003, 0.0004 and 0.0002) for NGF and 0.0001 for KCND3. Using the same methods, these genes were tested for association with NVC in an independent sample of 1517 families from an Autism Genome Project (AGP). NVC was associated with a haplotype in an adjacent NGF block (P=0.0005) and one 46 kb away from the associated block in KCND3 (0.008). These analyses illustrate the value of QTL and targeted association studies for genetically complex disorders such as ASD. NGF is a promising risk gene for NVC deficits.
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quantitative trait locus analysis of Nonverbal Communication in autism spectrum disorder
Molecular Psychiatry, 2006Co-Authors: G K Chen, N Kono, Daniel H Geschwind, Rita M CantorAbstract:Autism spectrum disorder (ASD) is a neurodevelopmental syndrome marked by impairments in social interactive functioning and Communication skills, and the presence of repetitive and restrictive behaviors. Twin and linkage studies provide evidence that ASD is heritable and genetically complex. Genetic analyses of familial quantitative traits in those with ASD may help to reveal underlying risk genes. We report a quantitative trait locus (QTL) analysis of Nonverbal Communication (NVC) in 228 families from the autism genetics resource exchange (AGRE) ascertained for at least two siblings with ASD. QTL at 1p13–q12, 4q21–25, 7q35, 8q23–24, and 16p12–13 indicate that genes at these loci may contribute to the variation in NVC among those with ASD. Using the criteria of Lander and Kruglyak, the QTL at 1p13–q12 is ‘suggestive’, while the other four are ‘possible’. To assess whether these QTL are likely to harbor genes contributing specifically to the deficits in NVC, linkage analysis of ASD sibships with the most severe NVC scores was conducted. The sibships were identified by ordered-subset analyses (OSA), and families with the most severe NVC scores displayed lod scores of 3.4 at 8q23–24 and 3.8 at 16p12–13, indicating that these two regions are likely to harbor gene(s) contributing to ASD by predisposing to deficits in NVC.
Wolfram Erlhagen - One of the best experts on this subject based on the ideXlab platform.
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Integrating verbal and Nonverbal Communication in a dynamic neural field architecture for human-robot interaction
Frontiers in Neurorobotics, 2010Co-Authors: Estela Bicho, Luis Louro, Wolfram ErlhagenAbstract:How do humans coordinate their intentions, goals and motor behaviors when performing joint action tasks? Recent experimental evidence suggests that resonance processes in the observer's motor system are crucially involved in our ability to understand actions of others', to infer their goals and even to comprehend their action-related language. In this paper, we present a control architecture for human-robot collaboration that exploits this close perception-action linkage as a means to achieve more natural and efficient Communication grounded in sensorimotor experiences. The architecture is formalized by a coupled system of dynamic neural fields representing a distributed network of neural populations that encode in their activation patterns goals, actions and shared task knowledge. We validate the verbal and Nonverbal Communication skills of the robot in a joint assembly task in which the human-robot team has to construct toy objects from their components. The experiments focus on the robot's capacity to anticipate the user's needs and to detect and communicate unexpected events that may occur during joint task execution.
