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hollyrayson.bsky.social
Holly Rayson
@hollyrayson.bsky.social
94 followers 160 following 1 posts
Postdoctoral researcher at the CNRS. Interested in early neurocognitive development, effects of early social experience, and social cognition.
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Reposted by Holly Rayson
maciekszul.bsky.social
Maciek Szul @maciekszul.bsky.social · Jun 2
🚨🚨🚨PREPRINT ALERT🚨🚨🚨
Neural dynamics across cortical layers are key to brain computations - but non-invasively, we’ve been limited to rough "deep vs. superficial" distinctions. What if we told you that it is possible to achieve full (TRUE!) laminar (I, II, III, IV, V, VI) precision with MEG!
Overview of the simulation strategy and analysis. a) Pial and white matter boundaries surfaces are extracted from anatomical MRI volumes. b) Intermediate equidistant surfaces are generated between the pial and white matter surfaces (labeled as superficial (S) and deep (D) respectively). c) Surfaces are downsampled together, maintaining vertex correspondence across layers. Dipole orientations are constrained using vectors linking corresponding vertices (link vectors). d) The thickness of cortical laminae varies across the cortical depth (70–72), which is evenly sampled by the equidistant source surface layers. e) Each colored line represents the model evidence (relative to the worst model, ΔF) over source layer models, for a signal simulated at a particular layer (the simulated layer is indicated by the line color). The source layer model with the maximal ΔF is indicated by “˄”. f) Result matrix summarizing ΔF across simulated source locations, with peak relative model evidence marked with “˄”. g) Error is calculated from the result matrix as the absolute distance in mm or layers from the simulated source (*) to the peak ΔF (˄). h) Bias is calculated as the relative position of a peak ΔF(˄) to a simulated source (*) in layers or mm.
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Reposted by Holly Rayson
danclab.bsky.social
Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · Jun 2
It's been a while since our last laminar MEG paper, but we're back! This time we push beyond deep versus superficial distinctions and go whole hog. Check it out- lots more exciting stuff to come! 🧠📈
maciekszul.bsky.social
Maciek Szul @maciekszul.bsky.social · Jun 2
🚨🚨🚨PREPRINT ALERT🚨🚨🚨
Neural dynamics across cortical layers are key to brain computations - but non-invasively, we’ve been limited to rough "deep vs. superficial" distinctions. What if we told you that it is possible to achieve full (TRUE!) laminar (I, II, III, IV, V, VI) precision with MEG!
Overview of the simulation strategy and analysis. a) Pial and white matter boundaries surfaces are extracted from anatomical MRI volumes. b) Intermediate equidistant surfaces are generated between the pial and white matter surfaces (labeled as superficial (S) and deep (D) respectively). c) Surfaces are downsampled together, maintaining vertex correspondence across layers. Dipole orientations are constrained using vectors linking corresponding vertices (link vectors). d) The thickness of cortical laminae varies across the cortical depth (70–72), which is evenly sampled by the equidistant source surface layers. e) Each colored line represents the model evidence (relative to the worst model, ΔF) over source layer models, for a signal simulated at a particular layer (the simulated layer is indicated by the line color). The source layer model with the maximal ΔF is indicated by “˄”. f) Result matrix summarizing ΔF across simulated source locations, with peak relative model evidence marked with “˄”. g) Error is calculated from the result matrix as the absolute distance in mm or layers from the simulated source (*) to the peak ΔF (˄). h) Bias is calculated as the relative position of a peak ΔF(˄) to a simulated source (*) in layers or mm.
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Reposted by Holly Rayson
natureportfolio.nature.com
Nature Portfolio @natureportfolio.nature.com · May 12
Wild chimpanzee mother and infant bonds may resemble patterns of secure and insecure-avoidant types observed in humans, according to a study published in Nature Human Behaviour. go.nature.com/4k8oG5K 🧪
A mother chimpanzee carrying her twins on her back. credit: Antoine Valet, Tai Chimpanzee Project
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Reposted by Holly Rayson
danclab.bsky.social
Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · May 15
DANClab is at #NeuroFrance2025 in full force! @quentinmoreau.bsky.social @hollyrayson.bsky.social
Tomorrow at 9h30 I'll give a talk about the cool methods we've developed to analyze beta bursts
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Reposted by Holly Rayson
ladyzoia.bsky.social
Zoe Ryan @ladyzoia.bsky.social · Mar 23
The second paper of my PhD is now out in the world! It is a longitudinal study exploring if intolerance of uncertainty predicts generalised anxiety. Thanks to
@profhelendodd.bsky.social, @jmorriss.bsky.social, @hollyrayson.bsky.social for all your support doi.org/10.1016/j.janxdis.2025.103004
Redirecting
doi.org
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Reposted by Holly Rayson
rpsychologist.com
Kristoffer Magnusson @rpsychologist.com · Dec 11
Introducing PowerLMM.js!

A new tool for power analysis of longitudinal linear mixed-effects models (LMMs) – with support for missing data, plus non-inferiority and equivalence tests.

powerlmmjs.rpsychologist.com

Would really appreciate your feedback as I refine this app! Details below 🧵👇
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hollyrayson.bsky.social
Holly Rayson @hollyrayson.bsky.social · Dec 10
Check out our new preprint! It's especially useful for looking at rhythmicity in infant EEG signals 🧠👶
danclab.bsky.social
Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · Dec 10
We're happy to announce the release of a preprint presenting lagged Hilbert autocoherence for determining signal rhythmicity at different frequencies. Fantastic work by Siqi Zhang, @maciekszul.bsky.social, and some others who have not made the leap over here. 🧠📈 🧠💻
www.biorxiv.org/content/10.1...
Multi-scale parameterization of neural rhythmicity with lagged Hilbert autocoherence
Analysis of neural activity in different frequency bands is ubiquitous in systems and cognitive neuroscience. Recent analytical breakthroughs and theoretical developments rely on phase maintenance of ...
www.biorxiv.org
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