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Human brain mapping 27건

  1. [해외논문]   Network‐based decoupling of local gyrification in obsessive‐compulsive disorder  

    Reess, Tim Jonas (Department of Neuroradiology & TUM‐Neuroimaging Center (TUM‐NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany) , Rus, Oana Georgiana (Department of Neuroradiology & TUM‐Neuroimaging Center (TUM‐NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany) , Gü (Department of Neuroradiology & TUM‐Neuroimaging Center (TUM‐NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany) , rsel, Deniz A. (Department of Neuroradiology & TUM‐Neuroimaging Center (TUM‐NIC), Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, Munich, 81675, Germany) , Schmitz‐ (Department of Psychiatry and Psychotherapy, Jena University) , Koep, Benita , Wagner, Gerd , Berberich, Gö , tz , Koch, Kathrin
    Human brain mapping v.39 no.8 ,pp. 3216 - 3226 , 2018 , 1065-9471 ,

    초록

    Abstract Gyrification is associated with cortical maturation and closely linked to neurodevelopmental processes. Obsessive‐compulsive disorder has previously been associated with neurodevelopmental risk factors. Using graph theoretical modeling we examined structural covariance patterns to assess potential disruptions in processes associated with neurodevelopment in OCD. In total 97 patients and 92 healthy controls underwent magnetic resonance imaging. Structural covariance networks based on local gyrification indices were constructed using an atlas‐based parcellation scheme. Network properties were assessed using the network‐based statistic as well as global and local graph theoretical measures. Correlations between gyrification and symptom severity as well as age of disease onset were examined. Network‐based statistic analysis revealed one cluster with significantly decreased structural covariance in patients comprising mainly ventral brain regions ( p = .041). Normalized characteristic path length was found to be impaired in patients ( p = .051). On a nodal level, left middle frontal sulcus displayed a significantly decreased local clustering coefficient ( p

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  2. [해외논문]   Predictable information in neural signals during resting state is reduced in autism spectrum disorder  

    Brodski‐ (MEG Unit, Brain Imaging Center, Goethe University, Frankfurt am Main, Germany) , Guerniero, Alla (Institute of Medical Psychology, Faculty of Medicine, Goethe University, Frankfurt am Main, Germany) , Naumer, Marcus J. (Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany) , Moliadze, Vera (Institute of Medical Psychology, Faculty of Medicine, Goethe University, Frankfurt am Main, Germany) , Chan, Jason (Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Autism Research and Intervention Center of Excellence, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany) , Althen, Heike (Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of) , Ferreira‐ , Santos, Fernando , Lizier, Joseph T. , Schlitt, Sabine , Kitzerow, Janina , Schü , tz, Magdalena , Langer, Anne , Kaiser, Jochen , Freitag, Christine M. , Wibral, Michael
    Human brain mapping v.39 no.8 ,pp. 3227 - 3240 , 2018 , 1065-9471 ,

    초록

    Abstract The neurophysiological underpinnings of the nonsocial symptoms of autism spectrum disorder (ASD) which include sensory and perceptual atypicalities remain poorly understood. Well‐known accounts of less dominant top–down influences and more dominant bottom–up processes compete to explain these characteristics. These accounts have been recently embedded in the popular framework of predictive coding theory. To differentiate between competing accounts, we studied altered information dynamics in ASD by quantifying predictable information in neural signals. Predictable information in neural signals measures the amount of stored information that is used for the next time step of a neural process. Thus, predictable information limits the (prior) information which might be available for other brain areas, for example, to build predictions for upcoming sensory information. We studied predictable information in neural signals based on resting‐state magnetoencephalography (MEG) recordings of 19 ASD patients and 19 neurotypical controls aged between 14 and 27 years. Using whole‐brain beamformer source analysis, we found reduced predictable information in ASD patients across the whole brain, but in particular in posterior regions of the default mode network. In these regions, epoch‐by‐epoch predictable information was positively correlated with source power in the alpha and beta frequency range as well as autocorrelation decay time. Predictable information in precuneus and cerebellum was negatively associated with nonsocial symptom severity, indicating a relevance of the analysis of predictable information for clinical research in ASD. Our findings are compatible with the assumption that use or precision of prior knowledge is reduced in ASD patients.

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  3. [해외논문]   Ultra‐high‐field fMRI insights on insight: Neural correlates of the Aha!‐moment  

    Tik, Martin (MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Wien, Austria) , Sladky, Ronald (MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Wien, Austria) , Luft, Caroline Di Bernardi (Queen Mary University of London, School of Biological and Chemical Sciences, London, United Kingdom) , Willinger, David (MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Wien, Austria) , Hoffmann, André (MR Center of Excellence, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Wien, Austria) , (Queen Mary University of London, School of Biological and Chemical Sciences, London, United Kingdom) , Banissy, Michael J (Department of Psychology, Goldsmiths University of London, Lon) , Bhattacharya, Joydeep , Windischberger, Christian
    Human brain mapping v.39 no.8 ,pp. 3241 - 3252 , 2018 , 1065-9471 ,

    초록

    Abstract Finding creative solutions to difficult problems is a fundamental aspect of human culture and a skill highly needed. However, the exact neural processes underlying creative problem solving remain unclear. Insightful problem solving tasks were shown to be a valid method for investigating one subcomponent of creativity: the Aha!‐moment. Finding insightful solutions during a remote associates task (RAT) was found to elicit specific cortical activity changes. Considering the strong affective components of Aha!‐moments, as manifested in the subjectively experienced feeling of relief following the sudden emergence of the solution of the problem without any conscious forewarning, we hypothesized the subcortical dopaminergic reward network to be critically engaged during Aha. To investigate those subcortical contributions to insight, we employed ultra‐high‐field 7 T fMRI during a German Version of the RAT. During this task, subjects were exposed to word triplets and instructed to find a solution word being associated with all the three given words. They were supposed to press a button as soon as they felt confident about their solution without further revision, allowing us to capture the exact event of Aha!‐moment. Besides the finding on cortical involvement of the left anterior middle temporal gyrus (aMTG), here we showed for the first time robust subcortical activity changes related to insightful problem solving in the bilateral thalamus, hippocampus, and the dopaminergic midbrain comprising ventral tegmental area (VTA), nucleus accumbens (NAcc), and caudate nucleus. These results shed new light on the affective neural mechanisms underlying insightful problem solving.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  4. [해외논문]   Different brain networks underlying intelligence in autism spectrum disorders  

    Pua, Emmanuel Peng Kiat (Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria 3010, Australia) , Malpas, Charles B. (Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria 3010, Australia) , Bowden, Stephen C. (Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria 3010, Australia) , Seal, Marc L. (The Royal Children's Hospital, Developmental Imaging, Murdoch Children's Research Institute, The Royal Children's Hospital, Victoria 3052, Australia)
    Human brain mapping v.39 no.8 ,pp. 3253 - 3262 , 2018 , 1065-9471 ,

    초록

    Abstract There has been sustained clinical and cognitive neuroscience research interest in how network correlates of brain‐behavior relationships might be altered in Autism Spectrum Disorders (ASD) and other neurodevelopmental disorders. As previous work has mostly focused on adults, the nature of whole‐brain connectivity networks underlying intelligence in pediatric cohorts with abnormal neurodevelopment requires further investigation. We used network‐based statistics (NBS) to examine the association between resting‐state functional Magnetic Resonance Imaging (fMRI) connectivity and fluid intelligence ability in male children ( n = 50) with Autism Spectrum Disorders (ASD; M = 10.45, SD = 1.58 years and in controls ( M = 10.38, SD = 0.96 years) matched on fluid intelligence performance, age and sex. Repeat analyses were performed in independent sites for validation and replication. Despite being equivalent on fluid intelligence ability to strictly matched neurotypical controls, boys with ASD displayed a subnetwork of significantly increased associations between functional connectivity and fluid intelligence. Between‐group differences remained significant at higher edge thresholding, and results were validated in independent‐site replication analyses in an equivalent age and sex‐matched cohort with ASD. Regions consistently implicated in atypical connectivity correlates of fluid intelligence in ASD were the angular gyrus, posterior middle temporal gyrus, occipital and temporo‐occipital regions. Development of fluid intelligence neural correlates in young ASD males is aberrant, with an increased strength in intrinsic connectivity association during childhood. Alterations in whole‐brain network correlates of fluid intelligence in ASD may be a compensatory mechanism that allows equal task performance to neurotypical peers.

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    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  5. [해외논문]   Individual differences in stop‐related activity are inflated by the adaptive algorithm in the stop signal task  

    D'Alberto, Nicholas (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Chaarani, Bader (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Orr, Catherine A. (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Spechler, Philip A. (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Albaugh, Matthew D. (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Allgaier, Nicholas (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Wonnell, Alexander (Department of Psychiatry, University of Vermont College of Medicine, Burlington, Vermont) , Banaschewski, Tobias (Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Ment) , Bokde, Arun L.W. , Bromberg, Uli , Bü , chel, Christian , Quinlan, Erin Burke , Conrod, Patricia J. , Desriviè , res, Sylvane , Flor, Herta , Frö , hner, Juliane H. , Frouin, Vincent , Gowland, Penny , Heinz, Andreas , Itterman, Bernd , Martinot, Jean‐ , Luc , Paillè , re Martinot, Marie‐ , Laure , Artiges, Eric , Nees, Frauke , Papadopoulos Orfanos, Dimitri , Poustka, Luise , Robbins, Trevor W. , Smolka, Michael N. , Walter, Henrik , Whelan, Robert , Schumann, Gunter , Potter, Alexandra S. , Garavan, Hugh
    Human brain mapping v.39 no.8 ,pp. 3263 - 3276 , 2018 , 1065-9471 ,

    초록

    Abstract Research using the Stop Signal Task employing an adaptive algorithm to accommodate individual differences often report inferior performance on the task in individuals with ADHD, OCD, and substance use disorders compared to non‐clinical controls. Furthermore, individuals with deficits in inhibitory control tend to show reduced neural activity in key inhibitory regions during successful stopping. However, the adaptive algorithm systematically introduces performance‐related differences in objective task difficulty that may influence the estimation of individual differences in stop‐related neural activity. This report examines the effect that these algorithm‐related differences have on the measurement of neural activity during the stop signal task. We compared two groups of subjects (n = 210) who differed in inhibitory ability using both a standard fMRI analysis and an analysis that resampled trials to remove the objective task difficulty confound. The results show that objective task difficulty influences the magnitude of between‐group differences and that controlling for difficulty attenuates stop‐related activity differences between superior and poor inhibitors. Specifically, group differences in the right inferior frontal gyrus, right middle occipital gyrus, and left inferior frontal gyrus are diminished when differences in objective task difficulty are controlled for. Also, when objective task difficulty effects are exaggerated, group differences in stop related activity emerge in other regions of the stopping network. The implications of these effects for how we interpret individual differences in activity levels are discussed.

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  6. [해외논문]   Intra‐ and interobserver agreement for fetal cerebral measurements in 3D‐ultrasonography  

    Albers, Maria E. W. A. (Division of Woman and Baby, University Medical Center Utrecht, Utrecht University, The Netherlands) , Buisman, Erato T. I. A. (Department of Obstetrics and Gynaecology, Jeroen Bosch Hospital, 's Hertogenbosch, The Netherlands) , Kahn, René (Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, The Netherlands) , S. (Division of Woman and Baby, University Medical Center Utrecht, Utrecht University, The Netherlands) , Franx, Arie (Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, The Netherlands) , Onland‐ (Division of Woman and Baby, University Medical Center Utrecht, Utrecht University, The Netherlands) , Moret, N. Charlotte , de Heus, Roel
    Human brain mapping v.39 no.8 ,pp. 3277 - 3284 , 2018 , 1065-9471 ,

    초록

    Abstract The aim of this study is to evaluate intra‐ and interobserver agreement for measurement of intracranial, cerebellar, and thalamic volume with the Virtual Organ Computer‐aided AnaLysis (VOCAL) technique in three‐dimensional ultrasound images, in comparison to two‐dimensional measurements of these brain structures. Three‐dimensional ultrasound images of the brains of 80 fetuses at 20–24 weeks’ gestational age were obtained from YOUth, a Dutch prospective cohort study. Two observers performed offline measurement of the occipitofrontal diameter, intracranial volume, transcerebellar diameter, cerebellar volume, and thalamic width, area, and volume, independently. VOCAL was used for calculation of the volumes. The two‐way random, single measures intraclass correlation coefficient (ICC) was used for analysis of agreement and Bland–Altman plots were configured. Intra‐ and interobserver agreement was almost perfect for occipitofrontal diameter (intra ICC 0.88, 95% CI 0.82–0.92; inter ICC 0.91, 95% CI 0.85–0.94), intracranial volume (intra ICC 0.96, 95% CI 0.91–0.98; inter ICC 0.97, 95% CI 0.96–0.98) and transcerebellar diameter (intra ICC 0.91, 95% CI 0.86–0.94; inter ICC 0.86, 95% CI 0.78–0.910). For cerebellar volume, the intraobserver agreement was almost perfect (0.85, 95% CI 0.76–0.90), whereas the interobserver agreement was substantial (0.75, 95% CI 0.44–0.88). Agreement was only moderate for thalamic measurements. Bland–Altman plots for the volume measurements are normally distributed with acceptable mean differences and 95% limits of agreement. The intra‐ and interobserver agreement of the measurement of intracranial and cerebellar volume with VOCAL was almost perfect. These measurements are therefore reliable, and can be used to investigate fetal brain development. Thalamic measurements are not reliable enough.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

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  7. [해외논문]   An adaptive semantic matching paradigm for reliable and valid language mapping in individuals with aphasia  

    Wilson, Stephen M. (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee) , Yen, Melodie (Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, Tennessee) , Eriksson, Dana K. (Department of Speech, Language, and Hearing Sciences, University of Arizona, Tucson, Arizona)
    Human brain mapping v.39 no.8 ,pp. 3285 - 3307 , 2018 , 1065-9471 ,

    초록

    Abstract Research on neuroplasticity in recovery from aphasia depends on the ability to identify language areas of the brain in individuals with aphasia. However, tasks commonly used to engage language processing in people with aphasia, such as narrative comprehension and picture naming, are limited in terms of reliability (test–retest reproducibility) and validity (identification of language regions, and not other regions). On the other hand, paradigms such as semantic decision that are effective in identifying language regions in people without aphasia can be prohibitively challenging for people with aphasia. This paper describes a new semantic matching paradigm that uses an adaptive staircase procedure to present individuals with stimuli that are challenging yet within their competence, so that language processing can be fully engaged in people with and without language impairments. The feasibility, reliability and validity of the adaptive semantic matching paradigm were investigated in sixteen individuals with chronic post‐stroke aphasia and fourteen neurologically normal participants, in comparison to narrative comprehension and picture naming paradigms. All participants succeeded in learning and performing the semantic paradigm. Test‐retest reproducibility of the semantic paradigm in people with aphasia was good (Dice coefficient = 0.66), and was superior to the other two paradigms. The semantic paradigm revealed known features of typical language organization (lateralization; frontal and temporal regions) more consistently in neurologically normal individuals than the other two paradigms, constituting evidence for validity. In sum, the adaptive semantic matching paradigm is a feasible, reliable and valid method for mapping language regions in people with aphasia.

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  8. [해외논문]   BrainMap VBM: An environment for structural meta‐analysis  

    Vanasse, Thomas J. (Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas) , Fox, P. Mickle (Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas) , Barron, Daniel S. (Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut) , Robertson, Michaela (Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas) , Eickhoff, Simon B. (Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany) , Lancaster, Jack L. (Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas) , Fox, Peter T. (Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas)
    Human brain mapping v.39 no.8 ,pp. 3308 - 3325 , 2018 , 1065-9471 ,

    초록

    Abstract The BrainMap database is a community resource that curates peer‐reviewed, coordinate‐based human neuroimaging literature. By pairing the results of neuroimaging studies with their relevant meta‐data, BrainMap facilitates coordinate‐based meta‐analysis (CBMA) of the neuroimaging literature en masse or at the level of experimental paradigm, clinical disease, or anatomic location. Initially dedicated to the functional, task‐activation literature, BrainMap is now expanding to include voxel‐based morphometry (VBM) studies in a separate sector, titled: BrainMap VBM. VBM is a whole‐brain, voxel‐wise method that measures significant structural differences between or within groups which are reported as standardized, peak x – y – z coordinates. Here we describe BrainMap VBM, including the meta‐data structure, current data volume, and automated reverse inference functions (region‐to‐disease profile) of this new community resource. CBMA offers a robust methodology for retaining true‐positive and excluding false‐positive findings across studies in the VBM literature. As with BrainMap's functional database, BrainMap VBM may be synthesized en masse or at the level of clinical disease or anatomic location. As a use‐case scenario for BrainMap VBM, we illustrate a trans‐diagnostic data‐mining procedure wherein we explore the underlying network structure of 2,002 experiments representing over 53,000 subjects through independent components analysis (ICA). To reduce data‐redundancy effects inherent to any database, we demonstrate two data‐filtering approaches that proved helpful to ICA. Finally, we apply hierarchical clustering analysis (HCA) to measure network‐ and disease‐specificity. This procedure distinguished psychiatric from neurological diseases. We invite the neuroscientific community to further exploit BrainMap VBM with other modeling approaches.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   Neuroplasticity and network connectivity of the motor cortex following stroke: A transcranial direct current stimulation study  

    Hordacre, Brenton (The Sansom Institute for Health Research, School of Health Sciences, The University of South Australia, Adelaide, 5001, Australia) , Moezzi, Bahar (The Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, 5005, Australia) , Ridding, Michael C. (The Robinson Research Institute, Adelaide Medical School, The University of Adelaide, Adelaide, 5005, Australia)
    Human brain mapping v.39 no.8 ,pp. 3326 - 3339 , 2018 , 1065-9471 ,

    초록

    Abstract Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique that has potential for clinical utility in neurorehabilitation. However, recent evidence indicates that the responses to tDCS are highly variable. This study investigated whether electroencephalographic (EEG) measures of functional connectivity of the target network were associated with the response to ipsilesional anodal tDCS in stroke survivors. Ten chronic stroke patients attended two experimental sessions in a randomized cross‐over trial and received anodal or sham tDCS. Single‐pulse transcranial magnetic stimulation was used to quantify change in corticospinal excitability following tDCS. At the beginning of each session, functional connectivity was estimated using the debiased‐weighted phase lag index from EEG recordings at rest. Magnetic resonance imaging identified lesion location and lesion volume. Partial least squares regression identified models of connectivity which maximally accounted for variance in anodal tDCS responses. Stronger connectivity of a network with a seed approximating the stimulated ipsilesional motor cortex, and clusters of electrodes approximating the ipsilesional parietal cortex and contralesional frontotemporal cortex in the alpha band (8–13 Hz) was strongly associated with a greater increase of corticospinal excitability following anodal tDCS. This association was not observed following sham stimulation. Addition of a structural measure(s) of injury (lesion volume) provided an improved model fit for connectivity between the seed electrode and ipsilesional parietal cortex, but not the contralesional frontotemporal cortex. TDCS has potential to greatly assist stroke rehabilitation and functional connectivity appears a robust and specific biomarker of response which may assist clinical translation of this therapy.

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  10. [해외논문]   Altered brain function in persistent postural perceptual dizziness: A study on resting state functional connectivity  

    Lee, Jin‐ (Department of Neurology, Seoul National University of College of Medicine, Seoul National University Bundang Hospital, Republic of Korea) , Ok (Department of Neurology, Soonchunhyang University Bucheon Hospital, Republic of Korea) , Lee, Eek‐ (Department of Neurology, Seoul National University of College of Medicine, Seoul National University Bundang Hospital, Republic of Korea) , Sung (Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea) , Kim, Ji‐ (Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea) , Soo (Department of Radiology, Seoul National University Bundang Hospital, Republic of Korea) , Lee, Young‐ (Department of Radiology, Seoul National University Bundang Hospital, Republic of Korea<coun) , Beom , Jeong, Yong , Choi, Byung Se , Kim, Jae‐ , Hyoung , Staab, Jeffrey P.
    Human brain mapping v.39 no.8 ,pp. 3340 - 3353 , 2018 , 1065-9471 ,

    초록

    Abstract This study used resting state functional magnetic resonance imaging (rsfMRI) to investigate whole brain networks in patients with persistent postural perceptual dizziness (PPPD). We compared rsfMRI data from 38 patients with PPPD and 38 healthy controls using whole brain and region of interest analyses. We examined correlations among connectivity and clinical variables and tested the ability of a machine learning algorithm to classify subjects using rsfMRI results. Patients with PPPD showed: (a) increased connectivity of subcallosal cortex with left superior lateral occipital cortex and left middle frontal gyrus, (b) decreased connectivity of left hippocampus with bilateral central opercular cortices, left posterior opercular cortex, right insular cortex and cerebellum, and (c) decreased connectivity between right nucleus accumbens and anterior left temporal fusiform cortex. After controlling for anxiety and depression as covariates, patients with PPPD still showed decreased connectivity between left hippocampus and right inferior frontal gyrus, bilateral temporal lobes, bilateral insular cortices, bilateral central opercular cortex, left parietal opercular cortex, bilateral occipital lobes and cerebellum (bilateral lobules VI and V, and left I–IV). Dizziness handicap, anxiety, and depression correlated with connectivity in clinically meaningful brain regions. The machine learning algorithm correctly classified patients and controls with a sensitivity of 78.4%, specificity of 76.9%, and area under the curve = 0.88 using 11 connectivity parameters. Patients with PPPD showed reduced connectivity among the areas involved in multisensory vestibular processing and spatial cognition, but increased connectivity in networks linking visual and emotional processing. Connectivity patterns may become an imaging biomarker of PPPD.

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    원문보기
    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지

논문관련 이미지