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Showing 1–19 of 19 results
Advanced filters: Author: Christopher Markiewicz Clear advanced filters

  • Memories for event sequences are represented hierarchically in the brain, with further-reaching representations of both the past and future in higher-order brain areas. In the hippocampus, these representations support prediction of future events.

    • Hannah Tarder-Stoll
    • Christopher Baldassano
    • Mariam Aly
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-19

  • fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

    • Oscar Esteban
    • Christopher J. Markiewicz
    • Krzysztof J. Gorgolewski
    Research
    Nature Methods
    Volume: 16, P: 111-116

  • A first-principles description of electronic states in cuprate high-temperature superconductors has remained a longstanding challenge in the field. The authors show how the equilibrium crystal structure as well as the key ground-state electronic and magnetic properties of lanthanum cuprate superconductor as an exemplar correlated material can be obtained accurately by applying an advanced functional within the framework of the density functional theory.

    • James W. Furness
    • Yubo Zhang
    • Jianwei Sun
    ResearchOpen Access
    Communications Physics
    Volume: 1, P: 1-6

  • An international consortium reports the genomic sequence for ten Drosophila species, and compares them to two other previously published Drosophila species. These data are invaluable for drawing evolutionary conclusions across an entire phylogeny of species at once.

    • Andrew G. Clark
    • Michael B. Eisen
    • Iain MacCallum
    Research
    Nature
    Volume: 450, P: 203-218

  • The genome of the grey short-tailed opossum Monodelphis domestica has been sequenced and analyzed, giving a first peek at a marsupial's genetic code. Of particular interest are the genetics of the immune system, which has been studied as a model for humans, and of the X chromosome for historical reasons.

    • Tarjei S. Mikkelsen
    • Matthew J. Wakefield
    • Kerstin Lindblad-Toh
    Research
    Nature
    Volume: 447, P: 167-177

  • High-order Van Hove singularities (hoVHSs) with power-law divergences in the density-of-states are drawing current interest mainly in context of two-dimensional (2D) twisted moiré materials. Using cuprate high-Tc superconductors as an example, here the authors illustrate complications that can arise in bulk materials in defining hoVHSs and the need to extend the definition of hoVHSs to include flat-band materials.

    • Robert S. Markiewicz
    • Bahadur Singh
    • Arun Bansil
    ResearchOpen Access
    Communications Physics
    Volume: 6, P: 1-7

  • fMRIPrep is an open-source software tool to ready fMRI datasets for statistical analysis and modeling that is robust to a diversity of inputs and produces standardized outputs, facilitating aggregation of data across studies.

    • Oscar Esteban
    • Rastko Ciric
    • Krzysztof J. Gorgolewski
    Protocols
    Nature Protocols
    Volume: 15, P: 2186-2202

  • The discovery of superconductivity in doped infinite-layer nickelates has recently garnered significant attention. Here, the authors employed a quantum many-body Green’s function-based approach to investigate the electronic and magnetic fluctuations in LaNiO2 providing microscopic insight into the origin of suppressed long-range order and magnetic excitation spectrum in the nickelates, along with their potential correlation with the cuprates.

    • Christopher Lane
    • Ruiqi Zhang
    • Jian-Xin Zhu
    ResearchOpen Access
    Communications Physics
    Volume: 6, P: 1-11

  • The recent discovery of superconducting nickelates has reignited interest in these materials and whether they can shed light on the mechanism of unconventional superconductivity in the cuprates. Here, the authors use first principles calculations to investigate the f electrons and magnetic ordering effects in the infinite layer nickelates and elaborate on the role of the cuprate-like 3dx2-y2 band.

    • Ruiqi Zhang
    • Christopher Lane
    • Jianwei Sun
    ResearchOpen Access
    Communications Physics
    Volume: 4, P: 1-12

  • The Brain Imaging Data Structure (BIDS) is an increasingly adopted standard for organizing scientific data and metadata. It facilitates easier and more straightforward data sharing and reuse. BIDS currently encompasses several biomedical imaging and non-imaging techniques, and as more research groups begin to use it, additional experimental techniques are being incorporated into the standard, allowing diverse experimental methods to be stored within the same cohesive structure. Here, we present an extension for magnetic resonance spectroscopy (MRS) data, termed MRS-BIDS.

    • Amy E. Bouchard
    • Dickson Wong
    • Mark Mikkelsen
    Comments & OpinionOpen Access
    Scientific Data
    Volume: 12, P: 1-8

  • The Brain Imaging Data Structure (BIDS) is a standard for organizing and describing neuroimaging datasets, serving not only to facilitate the process of data sharing and aggregation, but also to simplify the application and development of new methods and software for working with neuroimaging data. Here, we present an extension of BIDS to include positron emission tomography (PET) data, also known as PET-BIDS, and share several open-access datasets curated following PET-BIDS along with tools for conversion, validation and analysis of PET-BIDS datasets.

    • Martin Norgaard
    • Granville J. Matheson
    • Melanie Ganz
    Comments & OpinionOpen Access
    Scientific Data
    Volume: 9, P: 1-7

  • We present an extension to the Brain Imaging Data Structure (BIDS) for motion data. Motion data is frequently recorded alongside human brain imaging and electrophysiological data. The goal of Motion-BIDS is to make motion data interoperable across different laboratories and with other data modalities in human brain and behavioral research. To this end, Motion-BIDS standardizes the data format and metadata structure. It describes how to document experimental details, considering the diversity of hardware and software systems for motion data. This promotes findable, accessible, interoperable, and reusable data sharing and Open Science in human motion research.

    • Sein Jeung
    • Helena Cockx
    • Julius Welzel
    Comments & OpinionOpen Access
    Scientific Data
    Volume: 11, P: 1-9