Katrin Preller

218 posts

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Katrin Preller

Katrin Preller

@KatrinPreller

interested in neuroscience, social interaction, pharmacology, neuroimaging, and altered states of consciousness.

Zürich, Schweiz Katılım Mart 2014
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Alex Kwan 關進晞
Alex Kwan 關進晞@kwanalexc·
A perfect score for the R13 proposal for the GRC Psychedelics conference #GRCPsychedelics - what a delight to receive the news before the holidays 💯🎁 The proposal will entirely go towards supporting travel awards and events for trainees. grc.org/neurobiology-o…
Alex Kwan 關進晞 tweet media
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eClinicalMedicine – The Lancet Discovery Science
@Vincenz81845674 @UniLuebeck @AnitaRajNewcomb @KeHay @gatesfoundation @IDRC_CRDI @arnabk_dey @GEH_UCSD @EMERGE_GEH @snsf_ch @HeffterResearch @KatrinPreller The cover refers to a placebo-controlled, double-blind, RCT of #psilocybin-assisted therapy in major depressive disorder Results suggested that a single dose of psilocybin significantly reduces depressive symptoms compared to placebo for at least 2 weeks bit.ly/3w923au
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Katrin Preller
Katrin Preller@KatrinPreller·
The copyedited version will be available soon.
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Katrin Preller
Katrin Preller@KatrinPreller·
Very short summary: We did not find any changes in brain connectivity that are present in all four altered states of consciousness. While the effects of Psilocybin and LSD are pretty similar, meditation and hypnosis are different.
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Adeel Razi
Adeel Razi@adeelrazi·
📢 We’re looking for multiple PhD students on various projects requiring: 1. Background in ML, RL, active inference & neuroAI 2. Background in ML, time series analysis, MRI brain connectivity methods 3. Background in psychedelics, MRI & EEG data analysis Please RT 🙏
Melbourne, Victoria 🇦🇺 English
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John Murray
John Murray@johndmurray·
Latest publication from the lab! Showing impact of spatiotemporal autocorrelation with multiple fMRI datasets. Great collaboration led by Max Shinn, w/ (among others) @edbullmore @AnticevicLab @daeyeol_lee @constable_todd @DScheinost @sophie_achard_g @KatrinPreller @sNeuroble
Nature Neuroscience@NatureNeuro

Individual variation in fMRI-derived brain networks is reproduced in a model using only the smoothness (autocorrelation) of the fMRI timeseries New from @johndmurray and colleagues nature.com/articles/s4159…

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