Alex Fornito
@AFornito
Doing cognitive neuroscience at @NSB_Lab & @turnerinstitute. We play with brains, networks, genes, models, cognition & disorders.
Our book on #brain #network & #connectome analysis is now available: amzn.to/1MLgMhU. Enjoy!
Honoured to play a small part in this important work by @KoussisNikitas @DrBreaky and team developing a new method for inference on spatial brain maps
New paper in Imaging Neuroscience by Nikitas C. Koussis, Michael Breakspear, et al: Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes
Link to original article: doi.org/10.1162/IMAG.a…
New paper in Imaging Neuroscience by Nikitas C. Koussis, Michael Breakspear, et al: Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes
Human-specific gene expansions contribute to brain evolution cell.com/cell/fulltext/…
Towards single-cell-resolution global maps of mammalian brains — a Comment article by Chengyu T. Li & Wu Wei nature.com/articles/s4158…
A new statistical test identifies groups of variables that are mutually coupled and can be represented in a causal graph as single, aggregated nodes, which allows the extraction of hierarchical structures from observational data go.aps.org/4m9JDyy
📢 Don't miss out! ABSTRACT SUBMISSIONS for #BPA2025 are OPEN! 10 min/5 min oral & poster categories are available. Submit via tinyurl.com/2kjtb9yu by July 31 and spread the word to your networks! 🧠🧪 We can't wait to hear from you!
Not sure which measure of network coupling to use in your fMRI analysis? Peep our latest PP led by K Pavlovich with @jchrispang comparing 10 different FC (+1 DCM) metrics in terms of robustness to motion and sensitivity to brain-behaviour correlations: tinyurl.com/yc3x68yv
New 2 year position as an Imaging Data Infrastructure Specialist Located a the Hunter Medical Research Institute (HMRI) & the University of Newcastle (UoN), in partnership with the National Imaging Facility (NIF), Apply here: seek.com.au/job/85537666
📜🪇[PUBLISHED]: NEW PREPRINT!🪇📜 I am incredibly excited to announce that we have published our paper on how "Dynamical independence reveals anaesthetic specific fragmentation of emergent structure in neural dynamics". biorxiv.org/content/10.110… Strap in! 1/n
Decomposition of phenotypic heterogeneity in autism reveals underlying genetic programs | Nature Genetics nature.com/articles/s4158…
Single neurons are dynamic and flexible. They contribute to, but are not, the function units of the brain. Out of the single-neuron straitjacket: Neurons within assemblies change selectivity and their reconfiguration underlies dynamic coding doi.org/10.1113/JP2880… #neuroscience
The human brain synchronizes visual signals by adjusting axonal conduction speed in the retina—revealing a previously unknown mechanism for precise perceptual timing @Annalis43262927 @FelixFranke7 @IOB_ch nature.com/articles/s4159…
To identify fundamental neuroscientific principles that generalize across species, systems and circuits, neuroscientists must embrace an evolutionary perspective, argue Karl Farrow and @KatjaReinhard. thetransmitter.org/systems-neuros…
Tara Spires-Jones discusses the importance of translational neuroscience, continued funding and international collaboration during times of significant cuts to science and research as a whole. Please read at buff.ly/se16v9m.
‼️Alert‼️Massive open dataset release!! The world’s largest proteomics dataset for neurodegenerative disease, including: * 250M+ protein measurements * 35,000 biosamples * 23 contributing cohorts * +50 harmonized clinical variables * AD / PD / FTD / ALS / Normal Aging 1/
Analyses from the largest neurodegeneration focused proteomics database - the Global Neurodegeneration Proteomics Consortium @_neuroproteome are published today in @NatureMedicine and @NatureAging The findings reveal unique protein biomarkers that correlate with…
1/11 Excited to share our @Naturestudy led by @Leon_Oo1 @csabaorban @ZShaoshi doi.org/10.1038/s41586… It is well-known that AI performance scales with logarithm of sample size (Kaplan, McCandlish 2020), but in many domains, sample size can be # participants or # measurements...
Have you been using ABCD data? Are you measuring psychopathology with the CBCL? Check out our latest preprint, led by K Pavlovich, which shows that standard constructs measured by the tool fail to meet many basic validity tests. @NSB_Lab osf.io/preprints/psya…
New paper! We introduce an efficient set of statistical features for fMRI time series (calibrated on mouse manipulation experiments and tested on mouse and human data): catchaMouse16. Paper: doi.org/10.52294/001c.… Code: github.com/DynamicsAndNeu…
Alam et al. develop a canonical time-series feature set for characterizing biologically informative dynamical patterns in fMRI: doi.org/10.52294/001c.… @bendfulcher @fMRI_today @mallarchkrvrty1 @OHBM
Not all mammalian brains were created the same. The granular prefrontal cortex, an area appearing the novo in primates is wired for mental representations and precise executive control of the rest of the brain. Very important ground-breaking work 👇 cell.com/cell/abstract/…
Alam et al. develop a canonical time-series feature set for characterizing biologically informative dynamical patterns in fMRI: doi.org/10.52294/001c.… @bendfulcher @fMRI_today @mallarchkrvrty1 @OHBM