Leon D. LotterMax Planck School of Cognition · Clinician Scientist Program
Leon D. Lotter
Doctor of Medicine
About
28
Publications
8,807
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66
Citations
Introduction
https://neuromatch.social/@LeonDLotter · (Portrait @ Nikolaus Brade)
Additional affiliations
September 2023 - present
September 2023 - present
Education
October 2019 - September 2022
Forschungszentrum Jülich
Field of study
December 2017 - September 2022
October 2014 - November 2021
Publications
Publications (28)
Background:
Previous studies provided controversial insight on the impact of starvation, disease status and underlying grey matter volume (GMV) changes on resting-state functional magnetic resonance imaging (rsfMRI) alterations in Anorexia nervosa (AN). Here we adapt a combined longitudinal and cross-sectional approach to disentangle the effects of...
As researchers, we use academic writing to present our results to other academics and to a wider audience. In doing so, we may be tempted to use persuasive communication devices for promoting our research. These devices may be at risk of misleading readers and reviewers when assessing our research. In this document, we identify a list of such commu...
Humans synchronize with one another to foster successful interactions. Here, we use a multimodal data fusion approach with the aim of elucidating the neurobiological mechanisms by which interpersonal neural synchronization (INS) occurs. Our meta-analysis of 22 functional magnetic resonance imaging and 69 near-infrared spectroscopy hyperscanning exp...
Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that human cortical thickness development and aging trajectories unfold along patterns of molecular and cellular brain...
Large-scale multimodal data have never been more accessible in neuroscience, providing an unprecedented opportunity to study interindividual differences. Integrating these data across assessment modalities, as opposed to treating each modality in isolation, requires careful consideration of both theoretical and practical nature. This chapter provid...
The balance of excitation and inhibition is a key functional property of cortical microcircuits which changes through the lifespan. Adolescence is considered a crucial period for the maturation of excitation-inhibition balance. This has been primarily observed in animal studies, yet human in vivo evidence on adolescent maturation of the excitation-...
The maternal brain undergoes significant reorganization during birth and the postpartum period. However, the temporal dynamics of these changes remain unclear. Using resting-state functional magnetic resonance imaging, we report on local and global brain function alterations in 75 mothers in their first postpartum week, compared to 23 nulliparous w...
Human healthy and pathological aging is linked to a steady decline in brain resting state activity and connectivity measures. The neurophysiological mechanisms underlying these changes remain poorly understood. Making use of recent developments in normative modeling and availability of in vivo maps for various neurochemical systems, we test in the...
Background
The early peripartum period and motherhood are associated with significant physiological and psychological challenges. Despite the acknowledged relevance postpartum reorganization of functional activity and connectivity in the maternal brain, the dynamics of these changes are yet to be understood.
Methods
We assessed healthy maternal br...
Authors rely on a range of devices and techniques to attract and maintain the interest of readers, and to convince them of the merits of the author’s point of view. However, when writing a scientific article, authors must use these ‘persuasive communication devices’ carefully. In particular, they must be explicit about the limitations of their work...
Objective:
Although anorexia nervosa (AN) in males has recently gained attention, knowledge of its psychological and physiological outcomes is still scarce. We explore sex-specific characteristics of long-term remitted AN with respect to residual eating disorder (ED) psychopathology, body image, and endocrinology.
Method:
We recruited 33 patient...
Authors rely on a range of devices and techniques to attract and maintain the interest of readers, and to convince them of the merits of the author’s point of view. However, when writing a scientific article, authors must use these ‘persuasive communication devices’ carefully. In particular, they must be explicit about the limitations of their work...
Human brain morphology undergoes complex developmental changes with diverse regional trajectories. Various biological factors influence cortical thickness development, but human data are scarce. Building on methodological advances in neuroimaging of large cohorts, we show that population-based developmental trajectories of cortical thickness unfold...
Objective
Although anorexia nervosa (AN) in males has recently gained attention, knowledge of its psychological and physiological outcomes is still scarce. We explore sex-specific characteristics of long-term remitted AN with respect to residual eating disorder psychopathology, body image, and endocrinology.
Method
We recruited 33 patients with AN...
Humans synchronize with one another to foster successful interactions. Here, we use a multimodal data fusion approach with the aim of elucidating the neurobiological mechanisms by which interpersonal neural synchronization (INS) occurs. Our meta-analysis of 22 functional magnetic resonance imaging and 69 near-infrared spectroscopy hyperscanning exp...
Background: Previous studies provided controversial insight on the impact of starvation, disease status and underlying grey matter volume (GMV) changes on resting-state functional magnetic resonance imaging (rsfMRI) alterations in Anorexia nervosa (AN). To disentangle the effects of these factors, we adapt an unbiased and comprehensive rsfMRI appro...
Fragestellung: Kinder mit Beeinträchtigungen des Sehens (BS) zeigten in einigen Untersuchungen autismusähnliche Verhaltensweisen. Die Anwendung vorhandener diagnostischer Screening-Instrumente für Autismus-Spektrum-Störungen (ASS) ist problematisch, da diese in der Regel ein intaktes Sehvermögen voraussetzen. Ziel dieser explorativen Studie war es,...
Questions
Questions (2)
Hi All,
I am searching for the correct statistical method to test if 2 continuous variables measured repeatedly (5 timepoints) in n = 20 subjects are associated with each other. The question to be answered would be along the lines of "Do the two variables show similar temporal dynamics?" or "Does variable 1 explain the change of variable 2 across time points?".
Further info: One variable is a MRI metric, one is a hormone level, see the attached plot. The hormone variable was log-transformed. Time is binned into 5 timepoints with constant time intervals, but could also be expressed as a continuous measure if needed. On visual inspection, the variables show comparable dynamics. The development across time looks non-linear.
Ideas: One can obviously correlate the differences between T0 and T1/T2/... between the two variables but I feel that information and power would get lost here. There is the "Repeated measurement correlation" method (
Article Repeated Measures Correlation
fully ) but I am not fully convinced by this as, for one, it assumes a constant regression slope across subjects. There will surely be a way to model this in custom linear model framework - here, I would be thankful for suggestions as I am not too confident with this. Also, I could imagine to come up with a permutation-based method, modelling the development in each subject, averaging outcome metrics, and assessing significance based on randomized data under the null hypothesis of random temporal development.Does anyone have a good idea how to approach this theoretically and in practice? (python or R, python preferred).
Thanks a lot!
Hello everyone,
I am trying to extract peak coordinates from given clusters in an 3D fMRI group image, e.g. a thresholded ICA z-score map.
Using MATLAB/SPM I am able to extract a single peak coordinate for each cluster by numbering the clusters with spm_bwlabel(), listing the voxel values per cluster and searching for the maximum value. However, I'd like to extract more than only one peak that might exist within each cluster (e.g. the SPM results viewer displays up to 3 peaks by default).
Did I miss an obvious solution or an SPM function, respectively? I could imagine to, within a main cluster, search for "subclusters" and again compute their peak values - but there might be an easier solution?
Any help is appreciated! :)
Best regards, Leon
