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Magnetic Resonance Imaging
Also known as: MRI
Facts (22)
Sources
Neuroimaging in psychedelic drug development: past, present, and ... nature.com Sep 27, 2023 8 facts
procedureResearchers propose using combined Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) methods, specifically using the 5-HT2A-selective ligand [11 C]Cimbi-36, to create a 'molecular-functional-clinical bridge' in understanding psychedelic effects.
claimNeuroimaging studies in psychedelic drug development can be adapted by using different PET ligands specific to the pharmacology of the compounds, utilizing other MRI modalities, or employing particular tasks and stimuli.
claimMRI-based techniques used to complement PET methods for assessing neuroplasticity include diffusion tensor imaging (for structural connectivity and microstructural tissue properties), magnetic resonance spectroscopy (for quantifying metabolite levels), and functional MRI (using task and resting-state paradigms).
referenceThe study 'Neuroplasticity and MRI: A perfect match' was published in the journal NeuroImage in 2016, covering pages 13–28.
claimStudies in psychedelic therapy rely on multimodal neuroimaging, specifically PET and MRI, combined with ancillary measures such as genotyping, subjective measures, pharmacokinetics, and EEG/MEG.
claimMRI-based methods provide indirect measures of neuroplasticity changes compared to PET, but they offer complementary information regarding functional effects related to underlying molecular and synaptic changes.
claimRecent MRI technical innovations, including accelerated scanning with multiband sequences, increased signal-to-noise with multi-echo sequences, and standardized processing pipelines, provide additional capabilities and rigor for neuroimaging.
claimMRI is a mature, widely available imaging method sensitive to pharmacological effects.
Adversarial testing of global neuronal workspace and ... - Nature nature.com Apr 30, 2025 3 facts
procedureElectrode positions were determined by coregistering a computed tomography scan with a pre-implant T1-weighted MRI, with 3D brain reconstructions generated using FreeSurfer software.
measurementAnatomical MRI scans were acquired using either a 32-channel coil (TR/TE = 2,000/2.03 ms; TI = 880 ms; 8° flip angle; 1-mm isotropic voxels) or a 64-channel coil (TR/TE = 2,530/2.98 ms; TI = 1,100 ms; 7° flip angle; 0.5 × 0.5 × 1 mm voxels).
referenceMRIQC is a software tool developed to automatically predict image quality in MRI data from unseen sites.
On Hallucinations in Artificial Intelligence–Generated Content ... jnm.snmjournals.org 2 facts
claimGenerating PET images from CT or MRI data has been proposed as a method to reduce the high costs and ionizing radiation exposure associated with PET imaging.
claimCross-modality translation is better suited as an auxiliary tool, such as for generating pseudo-CT scans from MRI for attenuation correction in PET/MRI workflows or for augmenting training datasets with synthetic images to support AI model development.
Self-awareness, self-regulation, and self-transcendence (S-ART) frontiersin.org 2 facts
measurementStudies on mindfulness-based interventions (MBI) have found differences in gray matter (GM) volume and density in the orbitofrontal cortex (OFC) and lateral prefrontal cortex (PFC) in meditators compared to non-meditating controls using MRI.
measurementAcross nine different Mindfulness-Based Intervention (MBI) studies, MRI research has found differences in gray matter (GM) volume and density in the dorsal and rostral anterior cingulate cortex (ACC) compared to non-meditating controls, suggesting a prominent role for the Frontoparietal Control Network (FPCN).
A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Dec 9, 2025 2 facts
claimConvolutional neural networks integrated with attention mechanisms have been applied to magnetic resonance imaging (MRI) for brain tumor classification, providing accurate localization and interpretable activation maps.
referenceRasheed et al. (2024) published a study in Bioengineering titled 'Integrating convolutional neural networks with attention mechanisms for magnetic resonance imaging-based classification of brain tumors,' which explores the application of neural networks in medical imaging.
Exploring Open-Source Software Ecosystems for Hardware ... link.springer.com May 1, 2024 1 fact
referenceM. Moritz et al. conducted a case study on the economic value of open source hardware, specifically focusing on an open source magnetic resonance imaging (MRI) scanner, published in the Journal of Open Hardware in 2019.
Thinking about the action potential: the nerve signal as a window to ... frontiersin.org 1 fact
claimLe Bihan (2007) utilized MRI technology to investigate the interaction between ions, water molecules entering the neuron during excitation, and the subaxolemmal cytoskeleton.
Protocol for testing global neuronal workspace and integrated ... journals.plos.org 1 fact
procedureThe researchers will target brain areas in non-human primates (NHPs) using high-resolution structural MRI with an inversion-recovery prepared gradient echo sequence for 3D T1-weighted images.
Male Reproductive System: Structure & Function - Cleveland Clinic my.clevelandclinic.org Aug 5, 2023 1 fact
procedureHealthcare providers may use physical examinations, blood tests, urine tests, ultrasound, X-ray, computed tomography (CT) scans, magnetic resonance imaging (MRI), biopsies, digital rectal exams, and prostate-specific antigen (PSA) tests to evaluate the health of the male reproductive system.
Theories and Methods of Consciousness biomedres.us Jan 29, 2024 1 fact
claimMagnetic resonance imaging (MRI) images brain and spinal cord structures using magnetic and radio waves.