Alessandra Griffa
@algriffa
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Communication models mix with information theory and multimodal MRI to investigate information transmission pathways across mammals🐭🐒🧍 Looking forward to further discussions !
Very pleased to see that our paper on information transmission in mammalian brain networks is now out in @NatureComms! 🥳🥳🥳 https://t.co/Vi6RdY0Q4C Thanks to @algriffa for the titanic effort and leading this amazing collaboration @danielgb_87 @Gozzi_Ale @grandjeanlab @dvdevill
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💡1 PhD and 1 Postdoc position still open for joining my new lab @unige_en and help us re-defining the use of MRI for tracking biological processes #neuromodulation #fMRI #optogenetics #CellReplacementTherapy. Contact me for more information! Pls RT 🙏
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On behalf of the board of directors and scientific committee, I am thrilled to officially announce the launch of the International Society for Tractography (IST). Looking forward to interacting, in the meantime - feel free to help spread the word! #IST
#Tractography
#Launch
Officially announcing the launch of the International Society for Tractography (IST)! The goal is to make fundamental advances in the field of #tractography coming from an interactive and diverse community willing to share knowledge. Free memberships!
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Honored to have been invited together with 50 world-leading experts to the inaugural Tract-Anat retreat. Congratulations to @maxdescoteaux, @Dee_Kay_Jay @Alex_Leemans Lauren Petit, @flaviodellacqua, Graham Little & the team! The future of 'Tractology' is in great hands 👏🏾
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📢Job alert! 🚨 Postdoc position between @CHUVLausanne and @hug_ge, on the exciting topic of mapping the #glymphatic system at #7T in the human brain, and translation to #CognitiveDecline. With: @GiovanniFrisoni @VGaribotto & myself @CIBM_ch @hnp_geneva
https://t.co/vM5eUXpgio
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We @ICNS_Hamburg and @HamburgNeuro will be kicking off 2024 with an exciting presentation by @algriffa. Save the date and DM me if you want to join.
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Combining fMRI #imaging w/ graph & information theory has allowed @EPFL_en scientists to observe parallel information transmission in the human brain – but not in macaques or mice. #evolution @algriffa @CHUVLausanne @Enri_amico @dvdevill @Neuro_X_EPFL 👉📰 https://t.co/u5u7idHPuL
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This work is now out in @JAMAPsych! 🧠 https://t.co/pA2a1YbZUK Thanks to all coauthors and collaborators! @orygen_aus @MNC_Psychiatry @NSB_Lab @turnerinstitute @AFornito @YalePsychology @Mon_Bio_Imaging
jamanetwork.com
This case-control study models the processes that explain spatial patterns of gray matter volume loss in different stages of psychotic illness and assesses whether certain brain regions act as...
📈New & improved pre-print on the network-based spreading of grey matter changes across multiple stages of psychosis! We find that (1) 🧠volume changes are strongly constrained by axonal connections & (2) 🎯the hippocampus may be an epicenter of spread https://t.co/2s3cIlzj6y 1/n
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[Dementia prevention] The @hug_ge and the @CHUVLausanne are organising an international conference on BHS for the prevention of dementia on 8.02.2024 from 9am. It will take place in Geneva and online (free event but registration required). https://t.co/d2CGebaMFu
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New paper from the lab! Looking at classifying features of #Alzheimer, diffusion #microstructure metrics perform better in early timepoints and cross-timepoints than functional connectivity. Also: Congrats @YujianDiao on four first-author papers! 🎊
link.springer.com
Background The pathological process of Alzheimer’s disease (AD) typically takes decades from onset to clinical symptoms. Early brain changes in AD include MRI-measurable features such as altered...
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📢2 PhD student positions in my group @CIBM_ch @FBM_UNIL @unil Opportunity funded to pursue impactful #machinelearning and #MRI research: domain-shifts #DL #pediatric #brain #low-field MRI quantitative mapping. #Interdisciplinary team, best project partners ever🤩! 🙏RT👇#hiring
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"Task matters: individual MEG signatures from naturalistic and neurophysiological brain states" now out on NeuroImage! 🥳 https://t.co/Gx1NRdgaOT [code coming soon on https://t.co/Yu1a7DjZD4]. Thanks to the great @Nigel_Col for the amazing work, what a wonderful team! (tag below)
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Joining the ESA class of 2022 astronauts is Raphaël Liégeois, from Belgium, as a career astronaut. #ESAastro2022 👉 https://t.co/XG7C1oL9Q4
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Special issue on Measure of Brain Disconnection in Clinical Setting. The aim is to extend disconnection approaches to a wide range of clinical disorders. Novel methods measuring disconnection that may be suitable for the clinical setting are also welcome.
We invite contributions to a new special issue in Frontiers on brain disconnection in clinical disorders. This is a good forum to discuss novel findings or methods. https://t.co/TWzMG7CSn1
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We have an open position for a research assistant in my lab. Research theme is the analysis of fMRI timeseries. Good chance for consolidating neurocomputational skills before applying for a PhD Applications➡️//tinyurl.com/3sjthhrb Lab website➡️//tinyurl.com/bddcbwpr
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Want to run connectomics analyses🧐even in absence of DWI data? We provide a new multi-scale probabilistic atlas of the human connectome and user-friendly code to match it to your data🧠led by Yasser Aléman-Gómez @MeriBach @maxdescoteaux @pahagman et al.
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New preprint out! Here we explore MEG connectome identification across different brain states. Great collaborative effort led by @Nigel_Col, w/ @EkanshSareen @algriffa @GPellegrino_ @dan_marinazzo @giorgioarcara and others👇 https://t.co/7gww4nPqDJ
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Mapping electromagnetic networks to haemodynamic networks in the human brain | https://t.co/UpQ9akDAW4 led by @goliashf w @sylvain_baillet Functional networks are often inferred from electromagnetic (MEG) or haemodynamic (fMRI) recordings - how do they relate? @PLOSBiology ⤵️
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Brain fingerprinting might allow personalized brain imaging. But what makes someone’s connectivity identifiable? MEG shows that aperiodic bursts of activity drive identifiability. @HumanBrainProj @HbpWp1 @INS_Umr1106 @univamu @Uniparthenope @CNRsocial_
https://t.co/FMnzSpDqgd
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Exciting work on the reproducibility and subject-specificity of microstructure-informed structural connectivity by @pepederkoch @GabrielPGirard @ADaducci @MRITobi @JPhThiran @UPHUMMEL_EPFL and colleagues. @CHUVLausanne @EPFL_en #BioMedicalImaging
https://t.co/nXU2ZWproa
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