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See detailEmpirical examination of the replicability of associations between brain structure and psychological variables
Kharabian Masouleh, Shahrzad; Eickhoff, Simon; Hoffstaedter, Felix et al

in eLife (in press)

Linking interindividual differences in psychological phenotype to variations in brain structure is an old dream for psychology and a crucial question for cognitive neurosciences. Yet, replicability of the ... [more ▼]

Linking interindividual differences in psychological phenotype to variations in brain structure is an old dream for psychology and a crucial question for cognitive neurosciences. Yet, replicability of the previously-reported “structural brain behavior” (SBB)-associations has been questioned, recently. Here, we conducted an empirical investigation, assessing replicability of SBB among heathy adults. For a wide range of psychological measures, the replicability of associations with gray matter volume was assessed. Our results revealed that among healthy individuals 1) finding an association between performance at standard psychological tests and brain morphology is relatively unlikely 2) significant associations, found using an exploratory approach, have overestimated effect sizes and 3) can hardly be replicated in an independent sample. After considering factors such as sample size and comparing our findings with more replicable SBB-associations in a clinical cohort and replicable associations between brain structure and non-psychological phenotype, we discuss the potential causes and consequences of these findings. [less ▲]

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See detailMultimodal parcellations and extensive behavioral profiling tackling the hippocampus gradient
Plachti, Anna; Eickhoff, Simon; Hoffstaedter, Felix et al

in Cerebral Cortex (in press)

The hippocampus displays a complex organization and function that is perturbed in many neuropathologies. Histological work revealed a complex arrangement of subfields along the medial-lateral and the ... [more ▼]

The hippocampus displays a complex organization and function that is perturbed in many neuropathologies. Histological work revealed a complex arrangement of subfields along the medial-lateral and the ventral-dorsal dimension, which contrasts with the anterior-posterior functional differentiation. The variety of maps has raised the need for an integrative multimodal view. We applied connectivity- based parcellation to 1) intrinsic connectivity 2) task-based connectivity and 3) structural covariance, as complementary windows into structural and functional differentiation of the hippocampus. Strikingly, while functional properties (i.e., intrinsic and task-based) revealed similar partitions dominated by an anterior-posterior organization, structural covariance exhibited a hybrid pattern reflecting both functional and cytoarchitectonic subdivision. Capitalizing on the consistency of functional parcellations, we defined robust functional maps at different levels of partitions, which are openly available for the scientific community. Our functional maps demonstrated a head-body and tail partition, subdivided along the anterior-posterior and medial-lateral axis. Behavioral profiling of these fine partitions based on activation data indicated an emotion-cognition gradient along the anterior-posterior axis and additionally suggested a self-world centric gradient supporting the role of the hippocampus in the construction of abstract representations for spatial navigation and episodic memory. [less ▲]

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See detailCognitive atlasing: From images to concepts and vice-versa: Behavioral profiling across large-scale activation data to understand cognitive information processing
Genon, Sarah ULiege

Conference (2019, June 10)

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. With brain parcellation techniques, this ... [more ▼]

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. With brain parcellation techniques, this complexity can be disentangled by defining regions and subregions of relative homogeneity with regard to specific neurobiological properties. By using large-scale activation databases, the derived regions can be characterized with regard to the associated behavioral functions. By applying such “behavioral profiling” approaches to parcellation maps, qualitative changes in the pattern of behavioral associations across regions can be examined. Here we will illustrate the application of these approaches to study information processing along the anterior-posterior dimension in a cortical region, as well as in a subcortical region. The findings, beyond confirming the scientific desuetude of one-to-one mapping between psychological concepts and brain location, allow inferences about the dimensions along which cognitive processing changes across the brain. [less ▲]

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See detailGender bias in (neuro)science: facts, consequences and solutions
Genon, Sarah ULiege; Schrouff, Jessica; Pischedda, Doris et al

Conference (2019, June 10)

Female neuroscientists are still underrepresented in various aspects of the academic life. The efforts of the community to mitigate this issue are growing but can elicit adverse reactions, partially due ... [more ▼]

Female neuroscientists are still underrepresented in various aspects of the academic life. The efforts of the community to mitigate this issue are growing but can elicit adverse reactions, partially due to inaccurate awareness on the current situation, as well as misconception or misunderstanding of some initiatives. We will first examine empirical data to address these issues and then discuss the different approaches that have been taken at institutional, organizational and individual levels to counter gender bias. As part of the range of proposed solutions, we have created the Women in Neuroscience Repository (WiNRepo), an initiative to increase the visibility of women in neuroscience. [less ▲]

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See detailEducational course "Brain Parcellations and Functional Territories": Introduction to brain parcellation
Genon, Sarah ULiege

Conference (2019, June 09)

From Post-mortem to in Vivo Parcellations

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See detailDifferent factorisation approaches of the Delis-Kaplan Executive System Battery converge towards a bi-factor model
Camilleri, Julia; Weis, Susanne; Chen, Ji et al

Poster (2019, June)

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See detailProbing hippocampus’ functional properties with activation databases
Genon, Sarah ULiege; Plachti, Anna; Pinho, Ana Luisa et al

Poster (2019, June)

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See detailLINKING BRAIN TO BEHAVIOR WITH BOTTOM-UP APPROACHES: OPPORTUNITIES AND CHALLENGES
Genon, Sarah ULiege

Conference (2019, May 23)

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See detailConnectomics: Data Analysis
Genon, Sarah ULiege

Conference (2019, May 12)

Connectomics analyses play a major role in our understanding of the human brain organization and function. In this talk, I will present the concepts, methods and applications of a widely used approach to ... [more ▼]

Connectomics analyses play a major role in our understanding of the human brain organization and function. In this talk, I will present the concepts, methods and applications of a widely used approach to examine brain organization: connectivity-based parcellation (CBP). I will then introduce the concepts and methods of connectivity-based psychometric prediction as an approach capitalizing on interindividual variability in brain and behavior to study the relationship between brain organization and behavioral functions. I will here focus on the prediction of psychometric data based on resting-state functional connectivity (rs-fMRI). [less ▲]

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See detailProbing hippocampus' organization and dys(function) with multimodal parcellation and behavioral profiling
Genon, Sarah ULiege

Scientific conference (2019, March 25)

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See detailModels in Neuroscience
Genon, Sarah ULiege

Learning material (2019)

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See detailDecoding cognitive information with multi-modal parcellation and behavioral profiling
Genon, Sarah ULiege

Learning material (2019)

iBrain, the interdisciplinary graduate school for brain research and translational neuroscience at Heinrich Heine University Düsseldorf (HHU), provides a first-class research training and qualification ... [more ▼]

iBrain, the interdisciplinary graduate school for brain research and translational neuroscience at Heinrich Heine University Düsseldorf (HHU), provides a first-class research training and qualification program for doctoral researchers working in any of the research groups of the Neuroscience Network Düsseldorf (undefinedNND). iBrain is supported by institutional funds of HHU and its Medical Faculty. The common theme of the doctoral projects pursued in iBrain is the investigation of important mechanisms involved in brain function and their disturbances in common brain diseases, such as multiple sclerosis, Alzheimer’s disease, CNS trauma and brain tumors, with the goal to identify novel diagnostic and therapeutic targets for these mostly incurable diseases. Early stage researchers with a background in the natural sciences or medicine are provided with expert knowledge and skills in basic and translational neuroscience research. [less ▲]

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See detailEin Dienstplan des Gehirns
Genon, Sarah ULiege; Plachti, Anna; Eickhoff, Simon

Article for general public (2019)

Seit Jahrhunderten erforschen Neurowissenschaftler die Rolle einzelner Hirnareale. Dank großer Datenbanken erstellen sie heute erstaunlich detaillierte funktionelle Karten, etwa des Hippocampus.

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See detailGender bias in (neuro)science: facts, consequences and solutions
Schrouff, Jessica ULiege; Pischedda; Genon, Sarah ULiege et al

in European Journal of Neuroscience (2019)

Women neuroscientists (please note that we refer to all who identify as such) are still underrepresented in various aspects of academic life. The efforts of the community to mitigate this issue are ... [more ▼]

Women neuroscientists (please note that we refer to all who identify as such) are still underrepresented in various aspects of academic life. The efforts of the community to mitigate this issue are growing but can elicit adverse reactions (Moghaddam & Gur, 2016). In this opinion paper, we discuss the different approaches that have been taken at institutional, organizational and individual levels to counter gender bias and aim at addressing unfavorable comments. We base our reasoning on empirical data and on the feedback received after the release of the Women in Neuroscience Repository (WiNRepo, see Supplementary Table S1.a), an initiative we created to increase the visibility of women in neuroscience. While this feedback originated mainly from oral conversations and was not rigorously quantified, we believe the frequency of the comments justify their discussion, as performed in (Moghaddam & Gur, 2016). The aim of this piece (supported by a list of signatories, see Supplementary Table S2) is therefore to ‘debunk the myths’ related to gender bias and to affirmative actions in academia, as well as to propose concrete measures that can be implemented to counter such bias. [less ▲]

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See detailMachine Learning for cognitive neuroscience
Genon, Sarah ULiege

Learning material (2018)

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See detailDecoding cognitive information processing with multi-modal parcellation and behavioral profiling
Genon, Sarah ULiege

Scientific conference (2018, August 27)

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used ... [more ▼]

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used to examine this complex organization. They range from local properties observed in the brain tissue to long-range connectivity patterns estimated with neuroimaging approaches. These different features appear to capture similar, but also complementary dimensions of brain organization, which in turn, define the dimensions of cognitive information processing. We propose that behavioral profiling of these topographies with large-scale MRI data could contribute to our understanding of cognitive information procession in the human brain. Fully harnessing the newly available data aggregation resources and inferences methods nevertheless comes with the challenge of disentangling noise from true features of the human brain organization and function, thus highlighting the need for stability and reproducibility investigations. [less ▲]

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See detailDecoding cognitive information processing with multi-modal parcellation and behavioral profiling
Genon, Sarah ULiege

Scientific conference (2018, August 23)

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used ... [more ▼]

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used to examine this complex organization. They range from local properties observed in the brain tissue to long-range connectivity patterns estimated with neuroimaging approaches. These different features appear to capture similar, but also complementary dimensions of brain organization, which in turn, define the dimensions of cognitive information processing. We propose that behavioral profiling of these topographies with large-scale MRI data could contribute to our understanding of cognitive information processing in the human brain. [less ▲]

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See detailDecoding cognitive information processing with multi-modal parcellation and behavioral profiling
Genon, Sarah ULiege

Scientific conference (2018, August 16)

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used ... [more ▼]

A defining aspect of brain organization is its spatial heterogeneity portraying multiple topographies on different spatial scales and along different spatial axes. Several markers or features can be used to examine this complex organization. They range from local properties observed in the brain tissue to long-range connectivity patterns estimated with neuroimaging approaches. These different features appear to capture similar, but also complementary dimensions of brain organization, which in turn, define the dimensions of cognitive information processing in humans. We propose that behavioral profiling of these topographies with large-scale MRI data could contribute to our understanding of cognitive information procession in the human brain. Fully harnessing the newly available data aggregation resources and inferences methods nevertheless comes with the challenge to disentangle noise from true features of the human brain organization and function. [less ▲]

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See detailThe effect of outliers and their exclusion on resting- state connectivity-based parcellation
Reuter, Niels; Genon, Sarah ULiege; Kharabian, Shahrzad et al

Poster (2018, July 12)

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