The Experts below are selected from a list of 190494 Experts worldwide ranked by ideXlab platform

Blazej M Baczkowski - One of the best experts on this subject based on the ideXlab platform.

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    Scientific Data, 2019
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a hig h-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database. Machine-accessible metadata file describing the reported data (ISA-Tab format)

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    bioRxiv, 2017
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski, Roberto Cozatl
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a high-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the Leipzig Study for Mind-Body-Emotion Interactions database.

Julia M Huntenburg - One of the best experts on this subject based on the ideXlab platform.

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    Scientific Data, 2019
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a hig h-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database. Machine-accessible metadata file describing the reported data (ISA-Tab format)

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    bioRxiv, 2017
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski, Roberto Cozatl
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a high-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the Leipzig Study for Mind-Body-Emotion Interactions database.

Natacha Mendes - One of the best experts on this subject based on the ideXlab platform.

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    Scientific Data, 2019
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a hig h-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database. Machine-accessible metadata file describing the reported data (ISA-Tab format)

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    bioRxiv, 2017
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski, Roberto Cozatl
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a high-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the Leipzig Study for Mind-Body-Emotion Interactions database.

Michel Cabanac - One of the best experts on this subject based on the ideXlab platform.

  • mozart effect cognitive dissonance and the pleasure of music
    Behavioural Brain Research, 2013
    Co-Authors: Leonid Perlovsky, Arnaud Cabanac, Marieclaude Bonniotcabanac, Michel Cabanac
    Abstract:

    Abstract We explore a possibility that the ‘Mozart effect’ points to a fundaMental cognitive function of music. Would such an effect of music be due to the hedonicity, a fundaMental dimension of Mental Experience? The present paper explores a recent hypothesis that music helps to tolerate cognitive dissonances and thus enabled accumulation of knowledge and human cultural evolution. We studied whether the influence of music is related to its hedonicity and whether pleasant or unpleasant music would influence scholarly test performance and cognitive dissonance. Specific hypotheses evaluated in this study are that during a test students Experience contradictory cognitions that cause cognitive dissonances. If some music helps to tolerate cognitive dissonances, then first, this music should increase the duration during which participants can tolerate stressful conditions while evaluating test choices. Second, this should result in improved performance. These hypotheses are tentatively confirmed in the reported experiments as the agreeable music was correlated with longer duration of tests under stressful conditions and better performance above that under indifferent or unpleasant music. It follows that music likely performs a fundaMental cognitive function explaining the origin and evolution of musical ability that have been considered a mystery.

  • mozart effect cognitive dissonance and the pleasure of music
    arXiv: Neurons and Cognition, 2012
    Co-Authors: Leonid Perlovsky, Arnaud Cabanac, Marieclaude Bonniotcabanac, Michel Cabanac
    Abstract:

    The Mozart effect refers to scientific data on short-term improvement on certain Mental tasks after listening to Mozart, and also to its popularized version that listening to Mozart makes you smarter (Tomatis, 1991; Wikipedia, 2012). Does Mozart effect point to a fundaMental cognitive function of music? Would such an effect of music be due to the hedonicity, a fundaMental dimension of Mental Experience? The present paper explores a recent hypothesis that music helps to tolerate cognitive dissonances and thus enabled accumulation of knowledge and human cultural evolution (Perlovsky, 2010, 2012). We studied whether the influence of music is related to its hedonicity and whether pleasant or unpleasant music would influence scholarly test performance and cognitive dissonance. Specific hypotheses evaluated here are that during a test students Experience contradictory cognitions that cause cognitive dissonances. If some music helps to tolerate cognitive dissonances, then first, this music should increase the duration during which participants can tolerate stressful conditions while evaluating test choices. Second, this should result in improved performance. These hypotheses are tentatively confirmed in the reported experiments as the agreeable music was correlated with better performance above that under indifferent or unpleasant music. It follows that music likely performs a fundaMental cognitive function explaining the origin and evolution of musical ability considered previously a mystery.

Johannes Golchert - One of the best experts on this subject based on the ideXlab platform.

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    Scientific Data, 2019
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a hig h-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the MPI-Leipzig Mind-Brain-Body database. Machine-accessible metadata file describing the reported data (ISA-Tab format)

  • a functional connectome phenotyping dataset including cognitive state and personality measures
    bioRxiv, 2017
    Co-Authors: Natacha Mendes, Sabine Oligschlager, Mark E Lauckner, Johannes Golchert, Julia M Huntenburg, Marcel Falkiewicz, Melissa Ellamil, Sarah Krause, Blazej M Baczkowski, Roberto Cozatl
    Abstract:

    The dataset enables exploration of higher-order cognitive faculties, self-generated Mental Experience, and personality features in relation to the intrinsic functional architecture of the brain. We provide multimodal magnetic resonance imaging (MRI) data and a broad set of state and trait phenotypic assessments: mind-wandering, personality traits, and cognitive abilities. Specifically, 194 healthy participants (between 20 and 75 years of age) filled out 31 questionnaires, performed 7 tasks, and reported 4 probes of in-scanner mind-wandering. The scanning session included four 15.5-min resting-state functional MRI runs using a multiband EPI sequence and a high-resolution structural scan using a 3D MP2RAGE sequence. This dataset constitutes one part of the Leipzig Study for Mind-Body-Emotion Interactions database.