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  • Neuroinformatics
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  • Authors: Haroche, Alexandre;

    Catatonic symptoms are known since ancient times, and “catatonia” was described by Kahlbaum in 1874. Catatonia is now viewed as a transnosographic syndrome. Little is known about its physiopathology. The aim of this study is to review the literature existing on brain imaging in catatonia. The literature search was conducted on 22 December 2016 via Pubmed and Embase with the keywords “catatonia and brain imaging”. We collected 113 case reports about 133 different cases, and 10 studies with 5 supplementary studies. It was 3 scanner studies and 38 case reports with scanner, one structural MRI study and 112 case reports with MRI, 17 case reports with PET, 4 SPECT studies and 17 case reports with SPECT, and 6 functional MRI studies. Structural brain imaging is frequently abnormal and usually shows diffuse lesions of white matter. Functional imaging shows hypometabolism in frontal, temporal and parietal lobes. Two studies suggest an impaired functioning of emotional regulation. The main physiopathological model was proposed by Northoff and put forward an impaired cortical-cortical communication in frontal and parietal pathways, and an impaired “top-down” modulation of cortical-sub-cortical pathways. We assume that catatonia is a “final pathway” that could result of impaired cortical as sub-cortical pathways.; Les symptômes catatoniques sont connus depuis l’antiquité, et la « catatonie » a été décrite par Kahlbaum en 1874. Elle est aujourd’hui considérée comme un syndrome transnosographique. Sa physiopathologie reste mal connue. L’objectif de ce travail est de faire une revue de la littérature sur l’imagerie cérébrale dans la catatonie. Nous avons effectué une recherche sur Pubmed et Embase le 22 décembre 2016 avec les mots clés : « catatonia and brain imaging ». Nous avons retenu 113 études de cas relatant 133 cas cliniques, et 10 études auxquels nous avons rajouté 5 études supplémentaires. Il s’agissait de 3 études de scanners et 38 cas cliniques avec un scanner, une étude d’IRM (Imagerie par Résonance magnétique) structurale et 112 cas cliniques avec une IRM, 17 cas cliniques avec une TEP (Tomographie par Émission de Position), 4 études de TEMP (Tomographie par Émission Mono-Photonique) et 17 cas cliniques avec une TEMP, et 6 études d’IRM fonctionnelle. L’imagerie cérébrale structurale est souvent anormale et montre généralement une atteinte diffuse de la substance blanche. L’imagerie fonctionnelle retrouve généralement un hypométabolisme frontal, temporal ou pariétal. Deux études suggèrent l’existence d’une anomalie de la régulation émotionnelle. Le principal modèle physiopathologique de la catatonie est décrit par Northoff et met en avant une anomalie de la communication cortico-corticale au niveau frontal et pariétal, avec une anomalie de la régulation « top-down » des circuits cortico-sous-corticaux. Nous faisons l’hypothèse que la catatonie est une « voie finale commune » pouvant résulter de l’atteinte des circuits corticaux aussi bien que sous-corticaux.

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    Hal-Diderot
    Master thesis . 2017
    License: CC BY NC ND
    Data sources: Hal-Diderot
    ResearchGate Data
    Thesis . 2017
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      Hal-Diderot
      Master thesis . 2017
      License: CC BY NC ND
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      Thesis . 2017
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    Authors: Chen, Ji; Patil, Kaustubh R.; Weis, Susanne; Sim, Kang; +27 Authors

    Biological psychiatry 87(3), 282-293 (2020). doi:10.1016/j.biopsych.2019.08.031 special issue: "Heterogeneity in Schizophrenia: Mechanisms and Symptoms" Published by Elsevier Science, Amsterdam [u.a.]

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    https://doi.org/10.1016/j.biop...
    Article
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      https://doi.org/10.1016/j.biop...
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    Authors: Maite M. van der Miesen; Martin A. Lindquist; Tor D. Wager;

    Abstract Chronic pain is an endemic problem involving both peripheral and brain pathophysiology. Although biomarkers have revolutionized many areas of medicine, biomarkers for pain have remained controversial and relatively underdeveloped. With the realization that biomarkers can reveal pain-causing mechanisms of disease in brain circuits and in the periphery, this situation is poised to change. In particular, brain pathophysiology may be diagnosable with human brain imaging, particularly when imaging is combined with machine learning techniques designed to identify predictive measures embedded in complex data sets. In this review, we explicate the need for brain-based biomarkers for pain, some of their potential uses, and some of the most popular machine learning approaches that have been brought to bear. Then, we evaluate the current state of pain biomarkers developed with several commonly used methods, including structural magnetic resonance imaging, functional magnetic resonance imaging and electroencephalography. The field is in the early stages of biomarker development, but these complementary methodologies have already produced some encouraging predictive models that must be tested more extensively across laboratories and clinical populations.

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    Europe PubMed Central
    Article . 2019
    Data sources: PubMed Central
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    PAIN Reports
    Other literature type . Article . 2019 . Peer-reviewed
    License: CC BY ND
    Data sources: Crossref; NARCIS
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    PAIN Reports
    Article . 2019
    Data sources: DOAJ-Articles
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      Europe PubMed Central
      Article . 2019
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      Other literature type . Article . 2019 . Peer-reviewed
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      Article . 2019
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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/
    Authors: Arianna Bellucci; Arianna Bellucci; Angelo Antonini; Angelo Antonini; +3 Authors

    Parkinson’s disease (PD), the most common neurodegenerative disorder, is characterized by abnormal accumulation of α-synuclein aggregates known as Lewy bodies (LB) and loss of nigrostriatal dopaminergic neurons. Recent neuroimaging studies suggest that in the early phases of PD, synaptic and axonal damage anticipate the onset of a frank neuronal death. Paralleling, even post mortem studies on the brain of affected patients and on animal models support that synapses might represent the primary sites of functional and pathological changes. Indeed, α-synuclein microaggregation and spreading at terminals, by dysregulating the synaptic junction, would block neurotransmitter release, thus triggering a retrograde neurodegenerative process ending with neuronal cell loss by proceeding through the axons. Rather than neurodegeneration, loss of dopaminergic neuronal endings and axons could thus underlie the onset of connectome dysfunction and symptoms in PD and parkinsonisms. However, the manifold biases deriving from the interpretation of human brain imaging data hinder the validation of this hypothesis. Here, we present pivotal evidence supporting that novel comparative brain imaging studies, in patients and experimental models of PD in preliminary stages of disease, could be instrumental for proving whether synaptic endings are the sites where degeneration begins and initiating the factual achievement of disease modifying approaches. The need for such investigations is timely to define an early therapeutic window of intervention to attempt disease halting by terminal and/or axonal healing.

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    Europe PubMed Central
    Article . 2017
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    Frontiers in Aging Neuroscience
    Article . 2017 . Peer-reviewed
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    Frontiers in Aging Neuroscience
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      Frontiers in Aging Neuroscience
      Article . 2017 . Peer-reviewed
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    Authors: Adriana Di Martino; David H. O’Connor; Bosi Chen; Kaat Alaerts; +35 Authors

    The second iteration of the Autism Brain Imaging Data Exchange (ABIDE II) aims to enhance the scope of brain connectomics research in Autism Spectrum Disorder (ASD). Consistent with the initial ABIDE effort (ABIDE I), that released 1112 datasets in 2012, this new multisite open-data resource is an aggregate of resting state functional magnetic resonance imaging (MRI) and corresponding structural MRI and phenotypic datasets. ABIDE II includes datasets from an additional 487 individuals with ASD and 557 controls previously collected across 16 international institutions. The combination of ABIDE I and ABIDE II provides investigators with 2156 unique cross-sectional datasets allowing selection of samples for discovery and/or replication. This sample size can also facilitate the identification of neurobiological subgroups, as well as preliminary examinations of sex differences in ASD. Additionally, ABIDE II includes a range of psychiatric variables to inform our understanding of the neural correlates of co-occurring psychopathology; 284 diffusion imaging datasets are also included. It is anticipated that these enhancements will contribute to unraveling key sources of ASD heterogeneity. Scientific Data, 4 ISSN:2052-4463

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    Scientific Data
    Article . 2017 . Peer-reviewed
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    Lirias
    Article . 2017
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    Research Collection
    Article . 2017
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    Scientific Data
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    HAL-Inserm; Hal-Diderot
    Article . 2017
    License: CC BY
    ETH Zürich Research Collection
    Article . 2017
    License: CC BY
    Data sources: Datacite
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      Scientific Data
      Article . 2017 . Peer-reviewed
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      Article . 2017
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      Article . 2017
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    Authors: Catherine Arnaud; Catherine Arnaud; Catherine Arnaud; Virginie Ehlinger; +22 Authors

    Aim: To report on prevalence of cerebral palsy (CP), severity rates, and types of brain lesions in children born preterm 2004 to 2010 by gestational age groups.Methods: Data from 12 population-based registries of the Surveillance of Cerebral Palsy in Europe network were used. Children with CP were eligible if they were born preterm (<37 weeks of gestational age) between 2004 and 2010, and were at least 4 years at time of registration. Severity was assessed using the impairment index. The findings of postnatal brain imaging were classified according to the predominant pathogenic pattern. Prevalences were estimated per 1,000 live births with exact 95% confidence intervals within each stratum of gestational age: ≤27, 28–31, 32–36 weeks. Time trends of both overall prevalence and prevalence of severe CP were investigated using multilevel negative binomial regression models.Results: The sample comprised 2,273 children. 25.8% were born from multiple pregnancies. About 2-thirds had a bilateral spastic CP. 43.5% of children born ≤27 weeks had a high impairment index compared to 37.0 and 38.5% in the two other groups. Overall prevalence significantly decreased (incidence rate ratio per year: 0.96 [0.92–1.00[) in children born 32–36 weeks. We showed a decrease until 2009 for children born 28–31 weeks but an increase in 2010 again, and a steady prevalence (incidence rate ratio per year = 0.97 [0.92–1.02] for those born ≤27 weeks. The prevalence of the most severely affected children with CP revealed a similar but not significant trend to the overall prevalence in the corresponding GA groups. Predominant white matter injuries were more frequent in children born <32 weeks: 81.5% (≤27 weeks) and 86.4% (28–31 weeks), compared to 63.6% for children born 32–36 weeks.Conclusion: Prevalence of CP in preterm born children continues to decrease in Europe excepting the extremely immature children, with the most severely affected children showing a similar trend.

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    Europe PubMed Central
    Article . 2021
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    Frontiers in Neurology
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    Authors: Péter, Zsanett; Oliphant, Melody E.; Fernandez, Thomas V.;

    Motor stereotypies are common, repetitive, rhythmic movements with typical onset in early childhood. While most often described in children with autism spectrum disorder (ASD) and intellectual disability (ID), stereotypies can also present without developmental delay and persist into adulthood. Stereotypies are often disruptive and harmful, both physically and socially, and effective evidence-based treatments are lacking. This can be attributed, in part, to our incomplete knowledge of the underlying biological and environmental risk. Several studies implicate various neurotransmitters, brain circuits, anatomical loci, and pre- and post-natal environmental influences in stereotypy onset and symptom severity. However, there are few points of convergence among a relatively small number of studies, indicating that more research is needed to confirm the underlying bases of risk. Of particular note is the lack of published genetic studies of stereotypies, despite evidence for Mendelian inheritance patterns in some families. Focusing future studies on typically-developing children with primary motor stereotypies may be a useful approach to minimize potential biological, environmental, and genetic heterogeneity that could theoretically hinder consistent findings. Ultimately, a deeper understanding of the underlying biology and risk factors for motor stereotypies will lead us closer to more effective targeted therapies that will alleviate suffering in affected children.

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    Europe PubMed Central
    Article . 2017
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    Frontiers in Neuroscience
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    Frontiers in Neuroscience
    Article . 2017 . Peer-reviewed
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    Authors: Zhang, Xuwen; Chen, Hanwei; Val-Laillet, David;

    AbstractAcupuncture has thousands of years of history and perspective for the treatment of many health problems and disorders. Beneficial effects of acupuncture on obesity have been demonstrated at various levels in animals and clinical trials, with almost no adverse effect, even when combined with local electrical stimulation, i.e., electroacupuncture (EA), a way to potentiate the effects of acupuncture. However, there is still scattered evidence about the impact of EA on brain functions related to the control of eating behavior, and notably on the gut–brain axis mechanisms involved in these putative central modulations. During the past 10 years, we have described a convincing diet-induced obese minipig model, and successfully implemented brain imaging and neurocognitive approaches to challenge mechanistic hypotheses and innovative therapeutic strategies. In the present article, we propose to confront the current literature on the acupuncture and EA effects on the gut–brain axis and obesity with the latest developments in nutrition and neuroscience research using the minipig model. Our aims are to (a) elaborate functional hypotheses on the gut–brain mechanisms underlying EA effects on obesity, and especially on the role of the vagus nerve, and (b) present the rational for testing these hypotheses in the minipig model.

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    Europe PubMed Central
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    Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
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      Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
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    Authors: Daniel Quintana; Tim Outhred; Lars T. Westlye; Gin S Malhi; +1 Authors

    Background Converging evidence demonstrates the important role of the neuropeptide hormone oxytocin (OT) in human behaviour and cognition. Intranasal OT administration has been shown to improve several aspects of social communication, such as the theory of mind performance and gaze to the eye region, and reduce anxiety and related negative cognitive appraisals. While this early research has demonstrated the potential for intranasal OT to treat psychiatric illnesses characterized by social impairments, the neurobiological mechanisms are not well known. Researchers have used functional magnetic resonance imaging (fMRI) to examine the neural correlates of OT response; however, results have been variable and moderating factors are poorly understood. The aim of this meta-analysis is to synthesize data examining the impact of intranasal OT administration on neural activity. Methods/design Studies that report fMRI data after intranasal OT administration will be identified. PubMed, Embase, PsycINFO, and Google Scholar databases will be searched as well as the citation lists of retrieved articles. Eligible articles written in English from 2005 onwards will be included in the meta-analysis, and corresponding authors of these papers will be invited to contribute t-maps. Data will be collected from eligible studies for synthesis using Seed-based d Mapping (SDM) or Multi-Level Kernel Density Analysis (MKDA), depending on the number of usable t-maps received. Additionally, publication bias and risk of bias will be assessed. Discussion This systematic review and meta-analysis will be the first pre-registered synthesis of data to identify the neural correlates of OT nasal spray response. The identification of brain regions underlying OT’s observed effects will help guide future research and better identify treatment targets. Systematic review registration PROSPERO CRD42016038781

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    Europe PubMed Central
    Article . 2016
    Data sources: PubMed Central
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    Systematic Reviews
    Article . 2016 . Peer-reviewed
    License: Springer TDM
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    Authors: Jyoti Islam; Yanqing Zhang;

    Abstract Alzheimer’s disease is an incurable, progressive neurological brain disorder. Earlier detection of Alzheimer’s disease can help with proper treatment and prevent brain tissue damage. Several statistical and machine learning models have been exploited by researchers for Alzheimer’s disease diagnosis. Analyzing magnetic resonance imaging (MRI) is a common practice for Alzheimer’s disease diagnosis in clinical research. Detection of Alzheimer’s disease is exacting due to the similarity in Alzheimer’s disease MRI data and standard healthy MRI data of older people. Recently, advanced deep learning techniques have successfully demonstrated human-level performance in numerous fields including medical image analysis. We propose a deep convolutional neural network for Alzheimer’s disease diagnosis using brain MRI data analysis. While most of the existing approaches perform binary classification, our model can identify different stages of Alzheimer’s disease and obtains superior performance for early-stage diagnosis. We conducted ample experiments to demonstrate that our proposed model outperformed comparative baselines on the Open Access Series of Imaging Studies dataset.

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    Article . 2018
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    Brain Informatics
    Article . 2018
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    Brain Informatics
    Article . 2018 . Peer-reviewed
    License: CC BY
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  • Authors: Haroche, Alexandre;

    Catatonic symptoms are known since ancient times, and “catatonia” was described by Kahlbaum in 1874. Catatonia is now viewed as a transnosographic syndrome. Little is known about its physiopathology. The aim of this study is to review the literature existing on brain imaging in catatonia. The literature search was conducted on 22 December 2016 via Pubmed and Embase with the keywords “catatonia and brain imaging”. We collected 113 case reports about 133 different cases, and 10 studies with 5 supplementary studies. It was 3 scanner studies and 38 case reports with scanner, one structural MRI study and 112 case reports with MRI, 17 case reports with PET, 4 SPECT studies and 17 case reports with SPECT, and 6 functional MRI studies. Structural brain imaging is frequently abnormal and usually shows diffuse lesions of white matter. Functional imaging shows hypometabolism in frontal, temporal and parietal lobes. Two studies suggest an impaired functioning of emotional regulation. The main physiopathological model was proposed by Northoff and put forward an impaired cortical-cortical communication in frontal and parietal pathways, and an impaired “top-down” modulation of cortical-sub-cortical pathways. We assume that catatonia is a “final pathway” that could result of impaired cortical as sub-cortical pathways.; Les symptômes catatoniques sont connus depuis l’antiquité, et la « catatonie » a été décrite par Kahlbaum en 1874. Elle est aujourd’hui considérée comme un syndrome transnosographique. Sa physiopathologie reste mal connue. L’objectif de ce travail est de faire une revue de la littérature sur l’imagerie cérébrale dans la catatonie. Nous avons effectué une recherche sur Pubmed et Embase le 22 décembre 2016 avec les mots clés : « catatonia and brain imaging ». Nous avons retenu 113 études de cas relatant 133 cas cliniques, et 10 études auxquels nous avons rajouté 5 études supplémentaires. Il s’agissait de 3 études de scanners et 38 cas cliniques avec un scanner, une étude d’IRM (Imagerie par Résonance magnétique) structurale et 112 cas cliniques avec une IRM, 17 cas cliniques avec une TEP (Tomographie par Émission de Position), 4 études de TEMP (Tomographie par Émission Mono-Photonique) et 17 cas cliniques avec une TEMP, et 6 études d’IRM fonctionnelle. L’imagerie cérébrale structurale est souvent anormale et montre généralement une atteinte diffuse de la substance blanche. L’imagerie fonctionnelle retrouve généralement un hypométabolisme frontal, temporal ou pariétal. Deux études suggèrent l’existence d’une anomalie de la régulation émotionnelle. Le principal modèle physiopathologique de la catatonie est décrit par Northoff et met en avant une anomalie de la communication cortico-corticale au niveau frontal et pariétal, avec une anomalie de la régulation « top-down » des circuits cortico-sous-corticaux. Nous faisons l’hypothèse que la catatonie est une « voie finale commune » pouvant résulter de l’atteinte des circuits corticaux aussi bien que sous-corticaux.

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    Hal-Diderot
    Master thesis . 2017
    License: CC BY NC ND
    Data sources: Hal-Diderot
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    Thesis . 2017
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      Master thesis . 2017
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      Thesis . 2017
      Data sources: Datacite
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