Neuroimaging data acquisition

  • How does an MRI collect data?

    To capture an image, the MRI system uses and sends magnetic and radiofrequency waves into the patient's body.
    The energy emitted by the atoms in the magnetic field sends a signal to a computer.
    Then, the computer uses mathematical formulas to convert the signal to an image..

  • How is fMRI data collected?

    Generally, most fMRI is performed using an Echo Planar Imaging (EPI) method43, which can collect data for a two dimensional image in approximately 60 ms at typical resolutions (3.4 \xd7 3.4 \xd7 4 mm3 voxel size).
    Typically, whole brain scans with ~ 32 .

    1. D slices are acquired with a repetition time (TR) of 2s/volume

  • What are the steps of MRI acquisition?

    The successive steps are scanning protocol optimizing, MRI acquisition, homogenous axial and coronal MR sequences registering, three-dimensional volume rendering reconstruction, fiducials identifying, and original coordinates of fiducials measuring..

  • What is data acquisition in MRI?

    Diffusion tensor imaging (DTI) is an MRI data acquisition method that allows the measurement of water diffusion in the brain to quantify white matter microstructural integrity and organization (Figure .

    1. B and D)

  • What is neuroimaging data?

    Neuroimaging is a discipline that studies the structure and function of the nervous system by means of imaging technology, and where the images of the brain can be obtained in a non-invasive way.
    It explores a series of mechanisms such as cognition, information processing, and brain changes in the pathological state..

  • What is the meaning of neuroimaging data?

    Neuroimaging is a discipline that studies the structure and function of the nervous system by means of imaging technology, and where the images of the brain can be obtained in a non-invasive way.
    It explores a series of mechanisms such as cognition, information processing, and brain changes in the pathological state..

  • An fMRI imaging scan takes advantage of activated neurons requiring more oxygen from red blood cells.
    This increase in activity leads to a change in blood flow. fMRI detects these changes.
    By indirectly measuring the alterations in blood flow and electrical activity, fMRI assesses brain activity.
  • Neuroimaging is a branch of medical imaging that focuses on the brain.
    In addition to diagnosing disease and assessing brain health, neuroimaging also studies: How the brain works.
    How various activities impact the brain.
  • Three different neuroimaging techniques, EEG, MRI, and PET, allow us to explore and measure the insane amounts of activity going on in our brain; however, each comes with its own strengths and limitations, making the motivations behind using them very important.
Functional MRI studies of human brain require rapid data acquisition techniques, to map dynamic changes with sufficient anatomical coverage.

Can neuroimaging data be used as a continuous measure of brain activation patterns?

If researchers are going to use neuroimaging data as a continuous measure of task-related brain activation patterns, they must also ensure data quality and integrity when addressing the specific research question.

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Does the Human Brain Project offer data sharing for Neuroimaging?

In Europe, the Human Brain Project (HBP) offered limited neuroimaging data sharing within its neuroinformatics platform while it was active (2013–2023).
Following the HBP, EBRAINS, a pan-European research infrastructure, provides a platform for data sharing for neuroimaging across the EU.

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What is a brain imaging data structure (bids)?

In neuroimaging, the Brain Imaging Data Structure ( BIDS) is such a standard for organizing and describing neuroimaging datasets.
BIDS was started by the neuroimaging research community in 2015 and has since become a widely accepted data standard within the neuroscience community 5, 6.

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What technologies are used in neuroimaging research?

Included research studies used various technology and software applications to acquire and process neuroimaging data based on the modality used (i.e., EEG, fMRI, fNIRS).
The majority of the technologies used to acquire data were commercially available products, and few were developed at the researchers’ institution.


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