A5074058957- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Cell Image Analysis Techniques
- RNA modifications and cancer
- Advanced X-ray and CT Imaging
- Scientific Computing and Data Management
- Neural dynamics and brain function
- Face Recognition and Perception
- Advanced Neuroimaging Techniques and Applications
- Health, Environment, Cognitive Aging
- Visual perception and processing mechanisms
- Cancer-related molecular mechanisms research
- Big Data and Business Intelligence
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Visual Attention and Saliency Detection
- Electron and X-Ray Spectroscopy Techniques
- Research Data Management Practices
- Biomedical Text Mining and Ontologies
- Neural Networks and Applications
- Arctic and Russian Policy Studies
- Radiomics and Machine Learning in Medical Imaging
- Single-cell and spatial transcriptomics
- Coastal and Marine Management
Dartmouth College
2015-2024
Dartmouth Hospital
2010-2024
Thermo Fisher Scientific (United States)
2024
Imaging Center
2023
McGill University
2022
Montreal Neurological Institute and Hospital
2022
Brain (Germany)
2015-2021
University of Zurich
2021
Yanbian University
2015
Karolinska Institutet
2015
Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with underlying assumptions. Several sophisticated packages (e.g., AFNI, BrainVoyager, FSL, FreeSurfer, Nipy, R, SPM) are used process and large often diverse (highly multi-dimensional) data. However, this heterogeneous collection of specialized applications creates several issues that hinder replicable, efficient optimal use analysis approaches: 1) No uniform access usage...
The development of magnetic resonance imaging (MRI) techniques has defined modern neuroimaging. Since its inception, tens thousands studies using such as functional MRI and diffusion weighted have allowed for the non-invasive study brain. Despite fact that is routinely used to obtain data neuroscience research, there been no widely adopted standard organizing describing collected in an experiment. This renders sharing reusing (within or between labs) difficult if not impossible unnecessarily...
Here we report the generation of a multimodal cell census and atlas mammalian primary motor cortex as initial product BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved morphological electrophysiological properties cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance collective knowledge...
Evidence of category specificity from neuroimaging in the human visual system is generally limited to a few relatively coarse categorical distinctions—e.g., faces versus bodies, or animals artifacts—leaving unknown neural underpinnings fine-grained structure within these large domains. Here we use fMRI explore brain activity for set categories animate domain, including six animal species—two each three very different biological classes: primates, birds, and insects. Patterns throughout...
Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body work should profound impact on research cognitive neuroscience psychiatry, leading advances diagnosis treatment psychiatric neurological A trend toward increased sharing data has emerged recent years. Nevertheless, a number barriers continue impede momentum. Many researchers institutions remain uncertain about how share or lack tools expertise...
Current models of the functional architecture human cortex emphasize areas that capture coarse-scale features cortical topography but provide no account for population responses encode information in fine-scale patterns activity. Here, we present a linear model shared representational spaces captures distinctions among with response-tuning basis functions are common across brains and neural individual-specific topographic functions. We derive space whole using new algorithm, searchlight...
The sharing of research data is essential to ensure reproducibility and maximize the impact public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative archive that provides ability openly share from broad range brain imaging types following FAIR principles for sharing. We highlight importance Brain Imaging Data Structure standard enabling effective curation, sharing, reuse data. presently shares more than 600 datasets including 20,000 participants, comprising...
DataLad is a Python-based tool for the joint management of code, data, and their relationship, built on top versatile system data logistics (git-annex) most popular distributed version control (Git).It adapts principles open-source software development distribution to address technical challenges management, sharing, digital provenance collection across life cycle objects.DataLad aims make as easy managing code.It streamlines procedures consume, publish, update any size or type, link them...
A growing community is constructing a next-generation file format (NGFF) for bioimaging to overcome problems of scalability and heterogeneity. Organized by the Open Microscopy Environment (OME), individuals institutes across diverse modalities facing these have designed specification process (OME-NGFF) address needs. This paper brings together wide range those members describe cloud-optimized itself-OME-Zarr-along with tools data resources available today increase FAIR access remove barriers...
Brain-imaging research has largely focused on localizing patterns of activity related to specific mental processes, but recent work shown that states can be identified from neuroimaging data using statistical classifiers. We investigated whether this approach could extended predict the state an individual a classifier trained other individuals, and information gained in doing so provide new insights into how processes are organized brain. Using variety techniques, we achieved cross-validated...
Major theories for explaining the organization of semantic memory in human brain are premised on often-observed dichotomous dissociation between living and nonliving objects. Evidence from neuroimaging has been interpreted to suggest that this distinction is reflected functional topography ventral vision pathway as lateral-to-medial activation gradients. Recently, we observed similar gradients also reflect differences among stimuli consistent with dimension graded animacy. Here, address...
OPINION article Front. Neuroinform., 29 June 2012 Volume 6 - | https://doi.org/10.3389/fninf.2012.00022
We investigated whether personally familiar faces are preferentially processed in conditions of reduced attentional resources and the absence conscious awareness. In first experiment, we used Rapid Serial Visual Presentation (RSVP) to test susceptibility strangers blink. second continuous flash interocular suppression render stimuli invisible measured face detection time for as compared strangers. both experiments found an advantage Our data suggest that identity is with even results show...
Humans prioritize different semantic qualities of a complex stimulus depending on their behavioral goals. These features are encoded in distributed neural populations, yet it is unclear how attention might operate across these representations. To address this, we presented participants with naturalistic video clips animals behaving natural environments while the attended to either behavior or taxonomy. We used models representational geometry investigate attentional allocation affects...
There has been a recent major upsurge in the concerns about reproducibility many areas of science. Within neuroimaging domain, one approach is to promote target re-executability publication. The information supporting such can enable detailed examination how an initial finding generalizes across changes processing approach, and sampled population, controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation recently funded initiative that seeks facilitate 'last...
The "Narratives" collection aggregates a variety of functional MRI datasets collected while human subjects listened to naturalistic spoken stories. current release includes 345 subjects, 891 scans, and 27 diverse stories varying duration totaling ~4.6 hours unique stimuli (~43,000 words). This data is well-suited for neuroimaging analysis, intended serve as benchmark models language narrative comprehension. We provide standardized accompanied by rich metadata, preprocessed versions the ready...