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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. 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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  4. 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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  5. Article ; Online: The effect of task complexity on the neural network for response inhibition: An ALE meta-analysis.

    Aziz-Safaie, Taraneh / Müller, Veronika I / Langner, Robert / Eickhoff, Simon B / Cieslik, Edna C

    Neuroscience and biobehavioral reviews

    2024  Volume 158, Page(s) 105544

    Abstract: Response inhibition is classically investigated using the go/no-go (GNGT) and stop-signal task (SST), which conceptually measure different subprocesses of inhibition. Further, different task versions with varying levels of additional executive control ... ...

    Abstract Response inhibition is classically investigated using the go/no-go (GNGT) and stop-signal task (SST), which conceptually measure different subprocesses of inhibition. Further, different task versions with varying levels of additional executive control demands exist, making it difficult to identify the core neural correlates of response inhibition independent of variations in task complexity. Using neuroimaging meta-analyses, we show that a divergent pattern of regions is consistently involved in the GNGT versus SST, arguing for different mechanisms involved when performing the two tasks. Further, for the GNGT a strong effect of task complexity was found, with regions of the multiple demand network (MDN) consistently involved particularly in the complex GNGT. In contrast, both standard and complex SST recruited the MDN to a similar degree. These results complement behavioral evidence suggesting that inhibitory control becomes automatic after some practice and is performed without input of higher control regions in the classic, standard GNGT, but continues to be implemented in a top-down controlled fashion in the SST.
    MeSH term(s) Humans ; Brain Mapping/methods ; Magnetic Resonance Imaging/methods ; Executive Function/physiology ; Inhibition, Psychological ; Neural Networks, Computer ; Reaction Time/physiology
    Language English
    Publishing date 2024-01-12
    Publishing country United States
    Document type Meta-Analysis ; Journal Article ; Review
    ZDB-ID 282464-4
    ISSN 1873-7528 ; 0149-7634
    ISSN (online) 1873-7528
    ISSN 0149-7634
    DOI 10.1016/j.neubiorev.2024.105544
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. 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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  7. Article ; Online: Lifetime Exposure to Depression and Neuroimaging Measures of Brain Structure and Function.

    Wang, Xinyi / Hoffstaedter, Felix / Kasper, Jan / Eickhoff, Simon B / Patil, Kaustubh R / Dukart, Juergen

    JAMA network open

    2024  Volume 7, Issue 2, Page(s) e2356787

    Abstract: Importance: Despite decades of neuroimaging studies reporting brain structural and functional alterations in depression, discrepancies in findings across studies and limited convergence across meta-analyses have raised questions about the consistency ... ...

    Abstract Importance: Despite decades of neuroimaging studies reporting brain structural and functional alterations in depression, discrepancies in findings across studies and limited convergence across meta-analyses have raised questions about the consistency and robustness of the observed brain phenotypes.
    Objective: To investigate the associations between 6 operational criteria of lifetime exposure to depression and functional and structural neuroimaging measures.
    Design, setting, and participants: This cross-sectional study analyzed data from a UK Biobank cohort of individuals aged 45 to 80 years who were enrolled between January 1, 2014, and December 31, 2018. Participants included individuals with a lifetime exposure to depression and matched healthy controls without indications of psychosis, mental illness, behavior disorder, and disease of the nervous system. Six operational criteria of lifetime exposure to depression were evaluated: help seeking for depression; self-reported depression; antidepressant use; depression definition by Smith et al; hospital International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes F32 and F33; and Composite International Diagnostic Interview Short Form score. Six increasingly restrictive depression definitions and groups were defined based on the 6 depression criteria, ranging from meeting only 1 criterion to meeting all 6 criteria. Data were analyzed between January and October 2022.
    Main outcomes and measures: Functional measures were calculated using voxel-wise fractional amplitude of low-frequency fluctuation (fALFF), global correlation (GCOR), and local correlation (LCOR). Structural measures were calculated using gray matter volume (GMV).
    Results: The study included 20 484 individuals with lifetime depression (12 645 females [61.7%]; mean [SD] age, 63.91 [7.60] years) and 25 462 healthy controls (14 078 males [55.3%]; mean [SD] age, 65.05 [7.8] years). Across all depression criteria, individuals with lifetime depression displayed regionally consistent decreases in fALFF, LCOR, and GCOR (Cohen d range, -0.53 [95% CI, -0.88 to -0.15] to -0.04 [95% CI, -0.07 to -0.01]) but not in GMV (Cohen d range, -0.47 [95 % CI, -0.75 to -0.12] to 0.26 [95% CI, 0.15-0.37]). Hospital ICD-10 diagnosis codes F32 and F33 (median [IQR] difference in effect sizes, -0.14 [-0.17 to -0.11]) and antidepressant use (median [IQR] difference in effect sizes, -0.12 [-0.16 to -0.10]) were criteria associated with the most pronounced alterations.
    Conclusions and relevance: Results of this cross-sectional study indicate that lifetime exposure to depression was associated with robust functional changes, with a more restrictive depression definition revealing more pronounced alterations. Different inclusion criteria for depression may be associated with the substantial variation in imaging findings reported in the literature.
    MeSH term(s) Female ; Male ; Humans ; Middle Aged ; Aged ; Cross-Sectional Studies ; Depression/diagnostic imaging ; Brain/diagnostic imaging ; Neuroimaging ; Antidepressive Agents
    Chemical Substances Antidepressive Agents
    Language English
    Publishing date 2024-02-05
    Publishing country United States
    Document type Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2023.56787
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Cardiac effects of 5F-Cumyl-PEGACLONE.

    Esdar, Nicole / Pawlik, Evelyn / Eickhoff, Simon B / Raupach, Annika / Ritz-Timme, Stefanie / Mayer, Felix

    International journal of legal medicine

    2024  Volume 138, Issue 3, Page(s) 823–831

    Abstract: Synthetic cannabinoids become increasingly popular as a supposedly safe and legal alternative to cannabis. In order to circumvent the German New Psychoactive Substances Law, producers of so-called herbal mixtures rapidly design new substances with ... ...

    Abstract Synthetic cannabinoids become increasingly popular as a supposedly safe and legal alternative to cannabis. In order to circumvent the German New Psychoactive Substances Law, producers of so-called herbal mixtures rapidly design new substances with structural alterations that are not covered by the law. Acting as full agonists not only at the cannabinoid receptors 1 and 2, synthetic cannabinoids might have not only desired mental but also serious physical adverse effects. However, knowledge of adverse effects of specific substances is sparse and incomplete. This also accounts for 5F-Cumyl-PEGACLONE, a synthetic cannabinoid, which has been detected regularly in Germany in recent years. By using an animal model, the isolated perfused Langendorff heart, the study at hand aimed on finding out more about possible cardiovascular adverse effects of 5F-Cumyl-PEGACLONE. Hearts of male Wistar rats, which were excised postmortem, were exposed to two different concentrations of 5F-Cumyl-PEGACLONE: 13 hearts were exposed to 50 ng/ml and 12 hearts were exposed to 100 ng/ml. Thirteen control hearts were merely exposed to an additional amount of buffer solution. Functional parameters heart rate, minimal and maximum left ventricular pressure and coronary flow were documented at pre-defined time points during and after the administration of 5F-Cumyl-PEGACLONE/additional buffer solution. Electrocardiograms (ECGs) were documented throughout the experiments and evaluated afterwards. Kruskal-Wallis analysis was performed for each functional parameter as well as for the duration of the QRS complexes and the duration of RR intervals as derived from the ECGs. Furthermore, a multivariate analysis, comprising all functional and ECG parameters, was performed. Kruskal-Wallis analysis revealed only single significant p-values for QRS duration and minimum left ventricular pressure that did not pass a Bonferroni test. The results of the multivariate approach were also comparably homogeneous, but still the model correctly recognized hearts exposed to 100 ng/ml of 5F-Cumyl-PEGACLONE more often than hearts exposed to the low concentration of 5F-Cumyl-PEGACLONE or additional buffer solution. Evaluation of the ECGs presented single cases of ST depression and QT prolongation. Though certainly not unambiguous, these findings support the assumption that 5F-Cumyl-PEGACLONE can cause severe, if not lethal, cardiac adverse effects like arrhythmias or myocardial infarctions especially if it is consumed in combination with other drugs like alcohol or if the consumer suffers from pre-existing heart diseases.
    MeSH term(s) Male ; Rats ; Animals ; Rats, Wistar ; Cannabinoids/analysis ; Hallucinogens ; Cannabis
    Chemical Substances CUMYL-PEGACLONE ; Cannabinoids ; Hallucinogens
    Language English
    Publishing date 2024-01-12
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1055109-8
    ISSN 1437-1596 ; 0937-9827
    ISSN (online) 1437-1596
    ISSN 0937-9827
    DOI 10.1007/s00414-023-03146-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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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: A coordinate-based meta-analysis of human amygdala connectivity alterations related to early life adversities.

    Kraaijenvanger, Eline J / Banaschewski, Tobias / Eickhoff, Simon B / Holz, Nathalie E

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 16541

    Abstract: By affecting core neurobiological systems early in development, early life adversities (ELAs) might confer latent vulnerability to future psychopathologies. This coordinate-based meta-analysis aims to identify significant convergent alterations in ... ...

    Abstract By affecting core neurobiological systems early in development, early life adversities (ELAs) might confer latent vulnerability to future psychopathologies. This coordinate-based meta-analysis aims to identify significant convergent alterations in functional connectivity of the amygdala related to ELAs across resting-state and task-based fMRI-studies. Five electronic databases were systematically searched until 22 October 2020, retrieving 49 eligible studies (n = 3162 participants). Convergent alterations in functional connectivity related to ELAs between the amygdala and the anterior cingulate cortex (ACC) and left hippocampus were found. Sub-analyses based on hemisphere and direction showed that connectivity seeded in the right amygdala was affected and, moreover, revealed that connectivity with ACC was decreased. Analyses based on paradigm and age showed that amygdala-ACC coupling was altered during resting state and that amygdala-left hippocampus connectivity was mostly affected during task-based paradigms and in adult participants. While both regions showed altered connectivity during emotion processing and following adverse social postnatal experiences such as maltreatment, amygdala-ACC coupling was mainly affected when ELAs were retrospectively assessed through self-report. We show that ELAs are associated with altered functional connectivity of the amygdala with the ACC and hippocampus. As such, ELAs may embed latent vulnerability to future psychopathologies by systematically affecting important neurocognitive systems.
    MeSH term(s) Adult ; Humans ; Amygdala/diagnostic imaging ; Emotions ; Gyrus Cinguli ; Magnetic Resonance Imaging ; Retrospective Studies
    Language English
    Publishing date 2023-10-02
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-43057-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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