Leon Lotter
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leondlotter.de
Leon Lotter
@leondlotter.de
780 followers 760 following 65 posts
👨‍💻 MD | PhD candidate
🧠 Neurodevelopment | ADHD | ASD
📊 Multimodal neuroimaging
🏫 INM-7, Research Centre Juelich
🎓 Max Planck School of Cognition
🐮 Vegan
👤 He/him
📷 By N. Brade
🌐 https://leondlotter.de
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leondlotter.de
Important topic! BlueSky confused me a bit, however 😬
Screenshot of the exact same post I am responding to. BlueSky showed the link to the article with it’s heading cut off at an unfortunate spot: „Autistic individuals have increased risk of chronic physical health“.
October 3, 2023 at 3:54 PM
leondlotter.de
Last, there was some (very limited) indication of relationships between maternal behavior and persistant MRI alterations. Stuff for future work!
(Last picture: both hormone and behav. associations)

Thanks go to our collaborators, especially Natalia Chechko and my supervisor Jeurgen Dukart! 🎉

7/7
Subject-level spatial colocalization between postpartum rsfMRI alterations and hormonal/neurotransmitter receptor densities. Left side: Parcellated and Z-standardized whole-brain hormone and neurotransmitter receptor distributions. Right side: Spatial colocalization analyses. Upper panel: Baseline analyses testing for colocalization between receptor distributions and rsfMRI data of each postpartum subject at baseline relative to the control group. X-axis: Z-transformed Spearman correlation coefficients, y-axis: rsfMRI metrics, colors: receptor maps. Lower panels: Longitudinal analyses following up on each baseline results if associated group permutation p values survived false discovery rate-correction (filled stars). The plot design equals Figure 2 with the y axis showing Z-transformed Spearman correlation coefficients.
September 22, 2023 at 8:05 AM
leondlotter.de
While we cannot claim causality, we found subcortical effects related to pp progesterone levels.

(1) whole-brain distributions of MRI changes colocalized with corticosteroid hormone receptors and related transmitters.
(2) subcortical MRI trajectories & progesterone levels covaried over time.

6/n
Subject-level spatial colocalization between postpartum rsfMRI alterations and hormonal/neurotransmitter receptor densities. Left side: Parcellated and Z-standardized whole-brain hormone and neurotransmitter receptor distributions. Right side: Spatial colocalization analyses. Upper panel: Baseline analyses testing for colocalization between receptor distributions and rsfMRI data of each postpartum subject at baseline relative to the control group. X-axis: Z-transformed Spearman correlation coefficients, y-axis: rsfMRI metrics, colors: receptor maps. Lower panels: Longitudinal analyses following up on each baseline results if associated group permutation p values survived false discovery rate-correction (filled stars). The plot design equals Figure 2 with the y axis showing Z-transformed Spearman correlation coefficients.
September 22, 2023 at 8:03 AM
leondlotter.de
On the other hand, decreased *subcortical* *whole-brain* connectivity showed clear linear and quadratic normalization trajectories, reaching control-levels at about 6-9 weeks pp.

What may cause this dissociation, coinciding with the so-called "subacute postpartum period"?

5/n
Longitudinal development of rsfMRI clusters. Development of baseline cluster-wise averaged global connectivity metrics across 6 postpartum months. Boxplots: x-axes show time in weeks postpartum (dimensional scale), y-axes show the Z-standardized rsfMRI metric. Each dot represents one subject at one individual time point, lines connect longitudinal scans. Boxplots show the distribution across subjects at each time point (black dot = mean, middle line = median, boxes = quartile 1 and 3, whiskers = range if below 1.5 * interquartile range from quartile 1 or 3). Heatmaps show effect sizes (Hedge’s g) of within- and between-group comparisons, overlaid labels mark significances (filled star = false discovery-corrected, empty star = nominal p < .05, ns = p > .05. Significance of linear mixed models is printed in the lower left corner.
September 22, 2023 at 8:00 AM
leondlotter.de
We found striking dissociations between temporal trajectories of cluster-averaged data:

Increased cortical local activity (fALFF) remained persistent across the 6 follow-up months. Visually less clear, but statistically so, did decreased insular local connectivity (LCOR).

4/n
Longitudinal development of rsfMRI clusters. Development of baseline cluster-wise averaged local connectivity and activity metrics across 6 postpartum months. Boxplots: x-axes show time in weeks postpartum (dimensional scale), y-axes show the Z-standardized rsfMRI metric. Each dot represents one subject at one individual time point, lines connect longitudinal scans. Boxplots show the distribution across subjects at each time point (black dot = mean, middle line = median, boxes = quartile 1 and 3, whiskers = range if below 1.5 * interquartile range from quartile 1 or 3). Heatmaps show effect sizes (Hedge’s g) of within- and between-group comparisons, overlaid labels mark significances (filled star = false discovery-corrected, empty star = nominal p < .05, ns = p > .05. Significance of linear mixed models is printed in the lower left corner.
September 22, 2023 at 7:58 AM
leondlotter.de
We expected strong differences between mother’s brains at pp week 1 vs. nulliparous controls.

We found decreases of global (GCOR) and local (LCOR) connectivity in bilateral putamen and insula, respectively. Increases of local activity (fALFF) were more distributed, and only cortical.

3/n
Clusters of differing local activity (fALFF), local connectivity (LCOR), and global connectivity (GCOR) in the nulliparous (NP) and postpartum (PP) groups at baseline. Cluster-level and whole-brain results from baseline (T0) rsfMRI analyses. Brain maps for each rsfMRI metric (rows) and each contrast (columns) show voxel-level negative log10-transformed p values overlaid by cluster-level results in darker shades (non-parametric cluster mass permutation).
September 22, 2023 at 7:57 AM