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Showing 1–12 of 12 results
Advanced filters: Author: Ben D. Fulcher Clear advanced filters

  • Identifying enriched gene sets in transcriptomic data is routine analysis. Here, the authors show that conventional gene category enrichment analysis (GCEA) applied to brain-wide atlas data yields biased results and develop a flexible ensemble-based null model framework to enable appropriate inference in GCEA.

    • Ben D. Fulcher
    • Aurina Arnatkeviciute
    • Alex Fornito
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • This work unifies an interdisciplinary literature of over 230 computational methods for measuring interactions from complex systems, revealing previously unreported theoretical connections and demonstrating practical benefits of broad methodological comparison.

    • Oliver M. Cliff
    • Annie G. Bryant
    • Ben D. Fulcher
    Research
    Nature Computational Science
    Volume: 3, P: 883-893

  • The ‘boson peak’ refers to an extra peak in the terahertz vibrational spectrum of glasses. It is now shown that for liquids of highly symmetric molecules the boson peak can be singled out by means of depolarized Raman scattering; the peak is linked to the formation of clusters of about 20 molecules.

    • Mario González-Jiménez
    • Trent Barnard
    • Klaas Wynne
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-11

  • How genes sculpt the complex architecture of the human connectome remains unclear. Here, the authors show that genes preferentially influence the strength of connectivity between functionally valuable, metabolically costly connections between brain network hubs.

    • Aurina Arnatkeviciute
    • Ben D. Fulcher
    • Alex Fornito
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-14

  • Carty et al. identify the H3K9 methyltransferases that restrict the size and position of the centromere protein A chromatin domain, maintaining functional centromeres.

    • Ben L. Carty
    • Danilo Dubocanin
    • Lars E. T. Jansen
    ResearchOpen Access
    Nature Structural & Molecular Biology
    Volume: 33, P: 220-234

  • Cortical and subcortical activity can be parsimoniously understood as resulting from excitations of fundamental, resonant modes of the brain’s geometry rather than from modes of complex interregional connectivity.

    • James C. Pang
    • Kevin M. Aquino
    • Alex Fornito
    ResearchOpen Access
    Nature
    Volume: 618, P: 566-574

  • How neurophysiological dynamics are organized across the cortex and their relationship with cortical micro-architecture is not well understood. Here, the authors find the dominant axis of neurophysiological dynamics reflects characteristics of the power spectrum and the linear correlation structure of the signal, and that spatial variation in neurophysiological dynamics is colocalized with multiple micro-architectural features.

    • Golia Shafiei
    • Ben D. Fulcher
    • Bratislav Misic
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-15

  • In this Analysis, Liu et al. benchmark more than 200 pairwise statistics for functional brain connectivity in tasks such as hub mapping, distance relationships, structure–function coupling and behavior prediction, revealing varying effectiveness for specific neurophysiological applications.

    • Zhen-Qi Liu
    • Andrea I. Luppi
    • Bratislav Misic
    ResearchOpen Access
    Nature Methods
    Volume: 22, P: 1593-1602

  • Combined analysis of proton-proton collision data from the Large Hadron Collider at CERN by the CMS and LHCb collaborations leads to the observation of the extremely rare decay of the strange B meson into muons; the result is compatible with the standard model of particle physics, and does not show any signs of new physics, such as supersymmetry.

    • V. Khachatryan
    • A.M. Sirunyan
    • E. Pesen
    ResearchOpen Access
    Nature
    Volume: 522, P: 68-72