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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Koch, Alexandra; Stirnberg, Rüdiger; Breteler, Monique M. B.; Estrada Leon, Edgar Santiago; +7 Authors

    This data repository contains an example of the acquired MRI sequences and the output of the post-processing pipelines in the Rhineland Study. An overview and information about the MRI sequences and post-processing pipelines can be found in our work 'Versatile MRI Acquisition and Processing Protocol for Population-Based Neuroimaging.' (under-submission)

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao DZNE Pubarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    DZNE Pub
    2023
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao DZNE Pubarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      DZNE Pub
      2023
      Data sources: DZNE Pub
  • Authors: Iyyappan Valsala, Praveen; Veldmann, Marten; Bosch, Dario; Scheffler, Klaus; +1 Authors

    This work aims to improve the speed of balanced steady-state free precession (bSSFP) acquisition with segmented 3D stack-of-spirals for functional brain studies at 9.4 T (see protocols.zip). Functional experiments were performed with full-field flickering checkerboard pattern (see radial_checkerboard.zip). The resulting data were reconstructed using an iterative algorithm with corrections for system imperfections such as trajectory deviations and B0 inhomogeneity using SpiralReco package. In the first set of experiments, we evaluated the signal change and stability with respect to echo and repetition time for a full field checkerboard stimulus. To demonstrate the high spatio-temporal resolution of the developed method, the results of three optimized protocols at submillimeter resolution (0.6 mm & 0.8 mm) and at 1.2 mm isotropic resolution for whole brain coverage were performed.

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  • Authors: Walluscheck, Sina; Canalini, Luca; Klein, Jan; Heldmann, Stefan;

    Automatic detection of abnormalities to assist radiologists in acute and screening scenarios has become a particular focus in medical imaging research. Various approaches have been proposed for the detection of anomalies in magnetic resonance (MR) data, but very little work has been done for computed tomography (CT). As far as we know, there is no satisfactory approach for anomaly detection in CT brain images. We present a novel unsupervised deep learning approach to generate a normal representation (without anomalies) of CT head scans that we use to discriminate between healthy and abnormal images. In the first step, we train a GAN with 1000 healthy CT scans to generate normal head images. Subsequently, we attach an encoder to the generator and train the auto encoder network to reconstruct healthy anatomy from new input images. The auto encoder is pre-trained with generated images using a perceptual loss function. When applied to abnormal scans, the reconstructed healthy output is then used to detect anomalies by computing the Mean Squared Error between input and output image. We evaluate our slice-wise anomaly detection on 250 test images including hemorrhages and tumors. Our approach achieves an area under receiver operating characteristic curve (AUC) of 0.90 with 85.8% sensitivity and 85.5% precision without requiring large training data sets or labeled anomaly data. Therefore, our method discriminates between normal and abnormal CT scans with good accuracy.

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  • Authors: Khoo, N.H.L.; Li, F.; Chen, C.-H.; Liu, Y.; +2 Authors

    Humanoid robots gaining popularity in the service industry all over the world. When designing humanoid robots, product designers put additional thought into the aesthetic design to avoid the complications that arise from the “uncanny valley”. It has long been found that genders, personalities, and cultural upbringings may affect individual ratings on the appearance of humanoid robots. To better aid and hasten the appearance design and selection process, this report explores the use of Electroencephalography (EEG) and vision tracking devices to evaluate preferences based on “aesthetic” criteria of robot designs. Based on the analysis, it was found that individuals, regardless of the three traits, paid more attention to their top choices during the selection. In rating the robots’ appearance, it was also found that Eastern students rated a significantly higher score of “intelligence” than Western students. However, both eastern and western students have a similar choice of their favorite robots.

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  • Authors: Lingelbach, Katharina; Tagalidou, Nektaria; Markey, Patrick S.; Föll, Bettina; +2 Authors

    Objective: We investigate experienced joy of use (JoU) and usability using a multimodal methods approach by systematically varying mobile phone interactions. Methods: We combined subjective and objective measures to investigate whether positive emotional experiences and moments of joy during the interaction can be distinguished from neutral and negative emotional experiences. In a study with 30 participants, electroencephalography (EEG), electrocardiography (ECG), electrodermal activity (EDA), facial emotion recognition, and questionnaires were used. Results: There were greater positive experiences in interactions designed to elicit JoU, even under bad usability. We did not observe a difference between the conditions in the EEG indices. However, a higher heart rate and components in the EDA phasic response as well as facial muscle activity associated with anger were linked to good usability combined with no JoU. Conclusion: The multimodal methods approach reveals great potential to investigate JoU and usability in naturalistic scenarios. Application: The developed framework provides a groundwork to evaluate and improve interactions with technology. Thereby, users and their emotional experiences are placed at the centre when designing user interfaces. By detecting moments of joy, this approach can support a better understanding of how technology can be purposefully designed for joyful experiences.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Целью данной работы является разработка модели классификации моторных образов на основе инструментов глубокого обучения и преобразования Gramian Angular Field. В выпускной квалификационной работе рассмотрены современные подходы в проектировании систем BCI, извлечении признаков и классификации электроэнцефалограмм. Подготовлены обучающие данные и проведены эксперименты на различных архитектурах глубоких сетей для поиска оптимальных параметров входных данных, а также протестирован метод классификации, учитывающий соседние временные окна сигналов. Была разработана и оптимизирована модель нейронной сети, а также приведены результаты её обучения. The aim of this work is to develop a model of motor image classification based on deep learning tools and Gramian Angular Field transformation. In this paper the modern approaches in BCI system design, feature extraction and classification of electroencephalograms are considered. Training data were prepared and experiments were conducted on different deep network architectures to find the optimal input data parameters, and a classification method was tested that takes into account the neighboring time windows of signals. A neural network model was developed and optimized, and the results of its training were presented.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic archive o...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic archive o...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Целью исследования было изучить влияние физических нагрузок на когнитивные функции и биоэлектрическую активность головного мозга у спортсменов различных специализаций. В результате исследований было показано, что изменение показателей биоэлектрической активности головного мозга при переходе от состояния покоя к выполнению когнитивного теста до и после физической нагрузки у спортсменов различных специализаций отражает функциональное состояние корковых и подкорковых структур, которые непосредственно связаны с обеспечением оптимальной деятельности в созданных условиях. В психофизиологическом тестировании достоверных различий между группами выявлено не было, то есть вид нагрузки не влияет на когнитивные функции. The purpose of the study was to determine the effect of physical functions on cognitive functions and bioelectrical activity of the brain in athletes of various specializations. As a result of the research, it was found that the change in the parameters of the bioelectrical activity of the brain during the transition from the state to the performance of a cognitive test before and after the load in athletes of various specializations of the functional state of the cortical and subcortical structures, which affect the special provision of activity in the created conditions. In psychophysiological testing, there were no identified signs among those identified, that is, no signs of cognitive functions were revealed.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic archive o...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic archive o...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Gliem, Carla; Minnerop, Martina; Helmstaedter, Christoph; Tittgemeyer, Marc; +12 Authors

    This ZIP-file contains supplementary data belonging to the manuscript 'Tracking the brain in myotonic dystrophy: a 5-year longitudinal follow-up study', published in PLOS ONE. In this manuscript we aimed to examine the natural history of brain involvement in adult-onset myotonic dystrophies type 1 and 2 (DM1, DM2). We conducted a longitudinal observational study to examine functional and structural cerebral changes in myotonic dystrophies. We enrolled 16 adult-onset DM1 patients, 16 DM2 patients, and 17 controls. At baseline (T1) and at follow-up (T2) participants underwent neurological, neuropsychological, and 3T-brain MRI examinations using identical study protocols that included voxel-based morphometry and diffusion tensor imaging. The ZIP-file contains imaging result files from the different statistical analyses.

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao DZNE Pubarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    DZNE Pub
    2019
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao DZNE Pubarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      DZNE Pub
      2019
      Data sources: DZNE Pub
  • Authors: Walter, Uwe; Fernández-Torre, José Luis; Kirschstein, Timo; Laureys, Steven;

    The widely accepted concept of brain death (BD) comprises the demonstration of irreversible coma in combination with the loss of brainstem reflexes and irreversible apnea. In some countries the combined clinical finding of coma, apnea, and loss of all tested brainstem reflexes (“brainstem death”) is sufficient for diagnosing BD irrespective of the primary location of brain lesion. The present article aims to substantiate the need for ancillary testing in patients with primary infratentorial brain lesions. Anatomically, the “brainstem-death” syndrome can theoretically occur without relevant lesion of the mesopontine tegmental reticular formation (MPT-RF). Thus, a brainstem lesion may cause an apneic total locked-in syndrome, a rare syndrome with preserved capability for consciousness, mimicking “brainstem death”. Findings in animals and humans have shown that alpha- or alpha/theta- EEG patterns in case of isolated brainstem lesion indicate intactness of relevant parts of the MPT-RF. In such patients the presence of irreversible coma has to be doubted, and the potential capacity for some degree of consciousness cannot be excluded as long as the EEG activity persists. Consequently the demonstration of either ancillary finding, electro-cortical inactivity or, preferably, cerebral circulatory arrest, is mandatory for diagnosing BD in patients with a primary infratentorial brain lesion.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    Данная диссертационная работа посвящена исследованию психоэмоционального состояния на аппаратно-программном комплексе с помощью наносенсоров. Был проведен анализ современных методов и приборов регистрации электрофизиологических параметров, связанных с психоэмоциональным состоянием человека. Разработана методика предварительных исследований психоэмоционального состояния человека на аппаратно-программном комплексе. Проведены предварительные медицинские исследования психоэмоционального состояния. На их основе показана зависимость значений микропотенциалов по разным типам вопросов, зарегистрированных в реальном времени разработанным АПК, на реакцию гнева, страха, грусти и нейтральных вопросов.. Данное исследование применимо для оценки достоверности информации, сообщаемой испытуемым человеком, This dissertational work is devoted to the study of the psychoemotional state on the hardware-software complex with the help of nanosensors. An analysis was made of modern methods and devices for recording the electrophysiological parameters associated with the psychoemotional state of a person. A technique for preliminary studies of the psychoemotional state of a person on the hardware and software complex has been developed. Preliminary medical studies of the psychoemotional state were carried out. On their basis, the dependence of the values of micro-potentials on different types of questions registered in real time by the AIC on the reaction of anger, fear, sadness and neutral questions is shown. This study is applicable for assessing the reliability of information reported by a test p

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic archive o...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Electronic archive o...arrow_drop_down
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  • image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    Authors: Koch, Alexandra; Stirnberg, Rüdiger; Breteler, Monique M. B.; Estrada Leon, Edgar Santiago; +7 Authors

    This data repository contains an example of the acquired MRI sequences and the output of the post-processing pipelines in the Rhineland Study. An overview and information about the MRI sequences and post-processing pipelines can be found in our work 'Versatile MRI Acquisition and Processing Protocol for Population-Based Neuroimaging.' (under-submission)

    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao DZNE Pubarrow_drop_down
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    DZNE Pub
    2023
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      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao DZNE Pubarrow_drop_down
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      DZNE Pub
      2023
      Data sources: DZNE Pub
  • Authors: Iyyappan Valsala, Praveen; Veldmann, Marten; Bosch, Dario; Scheffler, Klaus; +1 Authors

    This work aims to improve the speed of balanced steady-state free precession (bSSFP) acquisition with segmented 3D stack-of-spirals for functional brain studies at 9.4 T (see protocols.zip). Functional experiments were performed with full-field flickering checkerboard pattern (see radial_checkerboard.zip). The resulting data were reconstructed using an iterative algorithm with corrections for system imperfections such as trajectory deviations and B0 inhomogeneity using SpiralReco package. In the first set of experiments, we evaluated the signal change and stability with respect to echo and repetition time for a full field checkerboard stimulus. To demonstrate the high spatio-temporal resolution of the developed method, the results of three optimized protocols at submillimeter resolution (0.6 mm & 0.8 mm) and at 1.2 mm isotropic resolution for whole brain coverage were performed.

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  • Authors: Walluscheck, Sina; Canalini, Luca; Klein, Jan; Heldmann, Stefan;

    Automatic detection of abnormalities to assist radiologists in acute and screening scenarios has become a particular focus in medical imaging research. Various approaches have been proposed for the detection of anomalies in magnetic resonance (MR) data, but very little work has been done for computed tomography (CT). As far as we know, there is no satisfactory approach for anomaly detection in CT brain images. We present a novel unsupervised deep learning approach to generate a normal representation (without anomalies) of CT head scans that we use to discriminate between healthy and abnormal images. In the first step, we train a GAN with 1000 healthy CT scans to generate normal head images. Subsequently, we attach an encoder to the generator and train the auto encoder network to reconstruct healthy anatomy from new input images. The auto encoder is pre-trained with generated images using a perceptual loss function. When applied to abnormal scans, the reconstructed healthy output is then used to detect anomalies by computing the Mean Squared Error between input and output image. We evaluate our slice-wise anomaly detection on 250 test images including hemorrhages and tumors. Our approach achieves an area under receiver operating characteristic curve (AUC) of 0.90 with 85.8% sensitivity and 85.5% precision without requiring large training data sets or labeled anomaly data. Therefore, our method discriminates between normal and abnormal CT scans with good accuracy.

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  • Authors: Khoo, N.H.L.; Li, F.; Chen, C.-H.; Liu, Y.; +2 Authors

    Humanoid robots gaining popularity in the service industry all over the world. When designing humanoid robots, product designers put additional thought into the aesthetic design to avoid the complications that arise from the “uncanny valley”. It has long been found that genders, personalities, and cultural upbringings may affect individual ratings on the appearance of humanoid robots. To better aid and hasten the appearance design and selection process, this report explores the use of Electroencephalography (EEG) and vision tracking devices to evaluate preferences based on “aesthetic” criteria of robot designs. Based on the analysis, it was found that individuals, regardless of the three traits, paid more attention to their top choices during the selection. In rating the robots’ appearance, it was also found that Eastern students rated a significantly higher score of “intelligence” than Western students. However, both eastern and western students have a similar choice of their favorite robots.

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  • Authors: Lingelbach, Katharina; Tagalidou, Nektaria; Markey, Patrick S.; Föll, Bettina; +2 Authors

    Objective: We investigate experienced joy of use (JoU) and usability using a multimodal methods approach by systematically varying mobile phone interactions. Methods: We combined subjective and objective measures to investigate whether positive emotional experiences and moments of joy during the interaction can be distinguished from neutral and negative emotional experiences. In a study with 30 participants, electroencephalography (EEG), electrocardiography (ECG), electrodermal activity (EDA), facial emotion recognition, and questionnaires were used. Results: There were greater positive experiences in interactions designed to elicit JoU, even under bad usability. We did not observe a difference between the conditions in the EEG indices. However, a higher heart rate and components in the EDA phasic response as well as facial muscle activity associated with anger were linked to good usability combined with no JoU. Conclusion: The multimodal methods approach reveals great potential to investigate JoU and usability in naturalistic scenarios. Application: The developed framework provides a groundwork to evaluate and improve interactions with technology. Thereby, users and their emotional experiences are placed at the centre when designing user interfaces. By detecting moments of joy, this approach can support a better understanding of how technology can be purposefully designed for joyful experiences.

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    Целью данной работы является разработка модели классификации моторных образов на основе инструментов глубокого обучения и преобразования Gramian Angular Field. В выпускной квалификационной работе рассмотрены современные подходы в проектировании систем BCI, извлечении признаков и классификации электроэнцефалограмм. Подготовлены обучающие данные и проведены эксперименты на различных архитектурах глубоких сетей для поиска оптимальных параметров входных данных, а также протестирован метод классификации, учитывающий соседние временные окна сигналов. Была разработана и оптимизирована модель нейронной сети, а также приведены результаты её обучения. The aim of this work is to develop a model of motor image classification based on deep learning tools and Gramian Angular Field transformation. In this paper the modern approaches in BCI system design, feature extraction and classification of electroencephalograms are considered. Training data were prepared and experiments were conducted on different deep network architectures to find the optimal input data parameters, and a classification method was tested that takes into account the neighboring time windows of signals. A neural network model was developed and optimized, and the results of its training were presented.

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    Целью исследования было изучить влияние физических нагрузок на когнитивные функции и биоэлектрическую активность головного мозга у спортсменов различных специализаций. В результате исследований было показано, что изменение показателей биоэлектрической активности головного мозга при переходе от состояния покоя к выполнению когнитивного теста до и после физической нагрузки у спортсменов различных специализаций отражает функциональное состояние корковых и подкорковых структур, которые непосредственно связаны с обеспечением оптимальной деятельности в созданных условиях. В психофизиологическом тестировании достоверных различий между группами выявлено не было, то есть вид нагрузки не влияет на когнитивные функции. The purpose of the study was to determine the effect of physical functions on cognitive functions and bioelectrical activity of the brain in athletes of various specializations. As a result of the research, it was found that the change in the parameters of the bioelectrical activity of the brain during the transition from the state to the performance of a cognitive test before and after the load in athletes of various specializations of the functional state of the cortical and subcortical structures, which affect the special provision of activity in the created conditions. In psychophysiological testing, there were no identified signs among those identified, that is, no signs of cognitive functions were revealed.

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    Authors: Gliem, Carla; Minnerop, Martina; Helmstaedter, Christoph; Tittgemeyer, Marc; +12 Authors

    This ZIP-file contains supplementary data belonging to the manuscript 'Tracking the brain in myotonic dystrophy: a 5-year longitudinal follow-up study', published in PLOS ONE. In this manuscript we aimed to examine the natural history of brain involvement in adult-onset myotonic dystrophies type 1 and 2 (DM1, DM2). We conducted a longitudinal observational study to examine functional and structural cerebral changes in myotonic dystrophies. We enrolled 16 adult-onset DM1 patients, 16 DM2 patients, and 17 controls. At baseline (T1) and at follow-up (T2) participants underwent neurological, neuropsychological, and 3T-brain MRI examinations using identical study protocols that included voxel-based morphometry and diffusion tensor imaging. The ZIP-file contains imaging result files from the different statistical analyses.

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    2019
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      2019
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  • Authors: Walter, Uwe; Fernández-Torre, José Luis; Kirschstein, Timo; Laureys, Steven;

    The widely accepted concept of brain death (BD) comprises the demonstration of irreversible coma in combination with the loss of brainstem reflexes and irreversible apnea. In some countries the combined clinical finding of coma, apnea, and loss of all tested brainstem reflexes (“brainstem death”) is sufficient for diagnosing BD irrespective of the primary location of brain lesion. The present article aims to substantiate the need for ancillary testing in patients with primary infratentorial brain lesions. Anatomically, the “brainstem-death” syndrome can theoretically occur without relevant lesion of the mesopontine tegmental reticular formation (MPT-RF). Thus, a brainstem lesion may cause an apneic total locked-in syndrome, a rare syndrome with preserved capability for consciousness, mimicking “brainstem death”. Findings in animals and humans have shown that alpha- or alpha/theta- EEG patterns in case of isolated brainstem lesion indicate intactness of relevant parts of the MPT-RF. In such patients the presence of irreversible coma has to be doubted, and the potential capacity for some degree of consciousness cannot be excluded as long as the EEG activity persists. Consequently the demonstration of either ancillary finding, electro-cortical inactivity or, preferably, cerebral circulatory arrest, is mandatory for diagnosing BD in patients with a primary infratentorial brain lesion.

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    Данная диссертационная работа посвящена исследованию психоэмоционального состояния на аппаратно-программном комплексе с помощью наносенсоров. Был проведен анализ современных методов и приборов регистрации электрофизиологических параметров, связанных с психоэмоциональным состоянием человека. Разработана методика предварительных исследований психоэмоционального состояния человека на аппаратно-программном комплексе. Проведены предварительные медицинские исследования психоэмоционального состояния. На их основе показана зависимость значений микропотенциалов по разным типам вопросов, зарегистрированных в реальном времени разработанным АПК, на реакцию гнева, страха, грусти и нейтральных вопросов.. Данное исследование применимо для оценки достоверности информации, сообщаемой испытуемым человеком, This dissertational work is devoted to the study of the psychoemotional state on the hardware-software complex with the help of nanosensors. An analysis was made of modern methods and devices for recording the electrophysiological parameters associated with the psychoemotional state of a person. A technique for preliminary studies of the psychoemotional state of a person on the hardware and software complex has been developed. Preliminary medical studies of the psychoemotional state were carried out. On their basis, the dependence of the values of micro-potentials on different types of questions registered in real time by the AIC on the reaction of anger, fear, sadness and neutral questions is shown. This study is applicable for assessing the reliability of information reported by a test p

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