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  1. Book ; Online ; E-Book: Brain network dysfunction in neuropsychiatric illness

    Diwadkar, Vaibhav A. / B. Eickhoff, Simon

    methods, applications, and implications

    2021  

    Author's details Vaibhav A. Diwadkar, Simon B. Eickhoff editors
    Keywords Electronic books
    Language English
    Size 1 Online-Ressource (xvii, 488 Seiten), Illustrationen, Diagramme
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020943027
    ISBN 978-3-030-59797-9 ; 9783030597962 ; 3-030-59797-0 ; 3030597962
    DOI 10.1007/978-3-030-59797-9
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Book ; Online ; Thesis: A Comparative Neuroimaging Investigation into Great Ape Brain Aging

    Vickery, Sam [Verfasser] / Eickhoff, Simon B. [Gutachter] / Caspers, Svenja [Gutachter]

    2024  

    Author's details Sam Vickery ; Gutachter: Simon B. Eickhoff, Svenja Caspers
    Keywords Tiere (Zoologie) ; Animals (Zoology)
    Subject code sg590
    Language English
    Publisher Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
    Publishing place Düsseldorf
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  3. Book ; Online ; Thesis: Einflüsse von Lebensstil- und State-Faktoren auf die Leistungen im Multitasking im höheren Lebensalter

    Destani, Dalif [Verfasser] / Eickhoff, Simon B. [Gutachter] / Dragano, Nico [Gutachter]

    2024  

    Author's details Dalif Destani ; Gutachter: Simon B. Eickhoff, Nico Dragano
    Keywords Psychologie ; Psychology
    Subject code sg150
    Language German
    Publisher Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
    Publishing place Düsseldorf
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  4. Book ; Online ; Thesis: Computerassistierte Differenzierung zwischen Patienten mit idiopathischem Parkinson-Syndrom und gesunden Kontrollprobanden anhand unterschiedlicher MRT-Bildgebungsmodalitäten unter Verwendung von Deep Learning

    Boschenriedter, Christian [Verfasser] / Caspers, Julian [Gutachter] / Eickhoff, Simon B. [Gutachter]

    2024  

    Author's details Christian Boschenriedter ; Gutachter: Julian Caspers, Simon B. Eickhoff
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
    Publishing place Düsseldorf
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  5. Article ; Online: Impact of sample size and regression of tissue-specific signals on effective connectivity within the core default mode network.

    Silchenko, Alexander N / Hoffstaedter, Felix / Eickhoff, Simon B

    Human brain mapping

    2023  Volume 44, Issue 17, Page(s) 5858–5870

    Abstract: Interactions within brain networks are inherently directional, which are inaccessible to classical functional connectivity estimates from resting-state functional magnetic resonance imaging (fMRI) but can be detected using spectral dynamic causal ... ...

    Abstract Interactions within brain networks are inherently directional, which are inaccessible to classical functional connectivity estimates from resting-state functional magnetic resonance imaging (fMRI) but can be detected using spectral dynamic causal modeling (DCM). The sample size and unavoidable presence of nuisance signals during fMRI measurement are the two important factors influencing the stability of group estimates of connectivity parameters. However, most recent studies exploring effective connectivity (EC) have been conducted with small sample sizes and minimally pre-processed datasets. We explore the impact of these two factors by analyzing clean resting-state fMRI data from 330 unrelated subjects from the Human Connectome Project database. We demonstrate that both the stability of the model selection procedures and the inference of connectivity parameters are highly dependent on the sample size. The minimum sample size required for stable DCM is approximately 50, which may explain the variability of the DCM results reported so far. We reveal a stable pattern of EC within the core default mode network computed for large sample sizes and demonstrate that the use of subject-specific thresholded whole-brain masks for tissue-specific signals regression enhances the detection of weak connections.
    MeSH term(s) Humans ; Sample Size ; Default Mode Network ; Nerve Net/diagnostic imaging ; Brain/diagnostic imaging ; Brain Mapping/methods ; Connectome/methods ; Magnetic Resonance Imaging/methods
    Language English
    Publishing date 2023-09-15
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 1197207-5
    ISSN 1097-0193 ; 1065-9471
    ISSN (online) 1097-0193
    ISSN 1065-9471
    DOI 10.1002/hbm.26481
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 4028: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Der vorhersagbare Mensch : Chancen und Risiken der KI-basierten Prädiktion von kognitiven Fähigkeiten, Persönlichkeitsmerkmalen und psychischen Erkrankungen.

    Eickhoff, Simon B / Heinrichs, Bert

    Der Nervenarzt

    2021  Volume 92, Issue 11, Page(s) 1140–1148

    Abstract: New approaches to the use of artificial intelligence (AI) to analyze data from neuroimaging but also passively collected data from so-called wearables, such as smartphones or smartwatches, as well as data that can be extracted from social media and other ...

    Title translation The predictable human : Possibilities and risks of AI-based prediction of cognitive abilities, personality traits and mental illnesses.
    Abstract New approaches to the use of artificial intelligence (AI) to analyze data from neuroimaging but also passively collected data from so-called wearables, such as smartphones or smartwatches, as well as data that can be extracted from social media and other online activities, already make it possible to predict cognitive abilities, personality traits, and mental illnesses, as well as to reveal acute mental states. In this article, we explain the methodological concepts behind these current developments, illuminate the possibilities and limitations, and address ethical and social aspects arising from the use.
    MeSH term(s) Artificial Intelligence ; Cognition ; Humans ; Mental Disorders/diagnosis ; Personality ; Social Media
    Language German
    Publishing date 2021-10-04
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 123291-5
    ISSN 1433-0407 ; 0028-2804
    ISSN (online) 1433-0407
    ISSN 0028-2804
    DOI 10.1007/s00115-021-01197-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Ui II Zs.100: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 446: Show issues

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  7. Article: Der vorhersagbare Mensch. Chancen und Risiken der KI-basierten Praediktion von kognitiven Faehigkeiten, Persoenlichkeitsmerkmalen und psychischen Erkrankungen

    Eickhoff, Simon B. / Heinrichs, Bert

    Nervenarzt

    2021  Volume 92, Issue 11, Page(s) 1140–1148

    Title translation The predictable human. Possibilities and risks of AI-based prediction of cognitive abilities, personality traits and mental illnesses
    Keywords computers ; prognosis ; diagnosis ; mentally ill ; methods ; psychology ; psychiatry ; autonomy ; beneficence ; caring ; justice ; informed consent
    Subject code AN
    Language German
    Document type Article
    ZDB-ID 123291-5
    ISSN 1433-0407 ; 0028-2804
    ISSN (online) 1433-0407
    ISSN 0028-2804
    Database Ethics in Medicine (ETHMED)

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    Ui II Zs.100: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Zs.MO 446: Show issues

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  8. Article ; Online: Teaching Research Data Management with DataLad: A Multi-year, Multi-domain Effort.

    Szczepanik, Michał / Wagner, Adina S / Heunis, Stephan / Waite, Laura K / Eickhoff, Simon B / Hanke, Michael

    Neuroinformatics

    2024  

    Abstract: Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following good practices as well as from having proficiency in using particular software solutions. But as these domain-agnostic skills are ... ...

    Abstract Research data management has become an indispensable skill in modern neuroscience. Researchers can benefit from following good practices as well as from having proficiency in using particular software solutions. But as these domain-agnostic skills are commonly not included in domain-specific graduate education, community efforts increasingly provide early career scientists with opportunities for organised training and materials for self-study. Investing effort in user documentation and interacting with the user base can, in turn, help developers improve quality of their software. In this work, we detail and evaluate our multi-modal teaching approach to research data management in the DataLad ecosystem, both in general and with concrete software use. Spanning an online and printed handbook, a modular course suitable for in-person and virtual teaching, and a flexible collection of research data management tips in a knowledge base, our free and open source collection of training material has made research data management and software training available to various different stakeholders over the past five years.
    Language English
    Publishing date 2024-05-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2111941-7
    ISSN 1559-0089 ; 1539-2791
    ISSN (online) 1559-0089
    ISSN 1539-2791
    DOI 10.1007/s12021-024-09665-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5816: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
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  9. Book ; Online ; Thesis: Einfluss der normalen Variation des Lebermetabolismus auf Morphologie und Funktion des alternden Gehirns im Menschen

    Masur, Christian Philipp [Verfasser] / Eickhoff, Simon B. [Gutachter]

    2023  

    Author's details Christian Philipp Masur ; Gutachter: Simon B. Eickhoff
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language German
    Publisher Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf
    Publishing place Düsseldorf
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  10. Article ; Online: Noninvasive brain stimulation in autism: review and outlook for personalized interventions in adult patients.

    Hensel, Lukas / Lüdtke, Jana / Brouzou, Katia O / Eickhoff, Simon B / Kamp, Daniel / Schilbach, Leonhard

    Cerebral cortex (New York, N.Y. : 1991)

    2024  Volume 34, Issue 13, Page(s) 8–18

    Abstract: Noninvasive brain stimulation (NIBS) has been increasingly investigated during the last decade as a treatment option for persons with autism spectrum disorder (ASD). Yet, previous studies did not reach a consensus on a superior treatment protocol or ... ...

    Abstract Noninvasive brain stimulation (NIBS) has been increasingly investigated during the last decade as a treatment option for persons with autism spectrum disorder (ASD). Yet, previous studies did not reach a consensus on a superior treatment protocol or stimulation target. Persons with ASD often suffer from social isolation and high rates of unemployment, arising from difficulties in social interaction. ASD involves multiple neural systems involved in perception, language, and cognition, and the underlying brain networks of these functional domains have been well documented. Aiming to provide an overview of NIBS effects when targeting these neural systems in late adolescent and adult ASD, we conducted a systematic search of the literature starting at 631 non-duplicate publications, leading to six studies corresponding with inclusion and exclusion criteria. We discuss these studies regarding their treatment rationale and the accordingly chosen methodological setup. The results of these studies vary, while methodological advances may allow to explain some of the variability. Based on these insights, we discuss strategies for future clinical trials to personalize the selection of brain stimulation targets taking into account intersubject variability of brain anatomy as well as function.
    MeSH term(s) Humans ; Adult ; Brain ; Autism Spectrum Disorder/therapy ; Precision Medicine/methods ; Precision Medicine/trends ; Transcranial Magnetic Stimulation/methods ; Autistic Disorder/therapy ; Autistic Disorder/physiopathology ; Autistic Disorder/psychology ; Transcranial Direct Current Stimulation/methods
    Language English
    Publishing date 2024-05-02
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 1077450-6
    ISSN 1460-2199 ; 1047-3211
    ISSN (online) 1460-2199
    ISSN 1047-3211
    DOI 10.1093/cercor/bhae096
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3235: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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