Fmri Neuroimaging
Fmri Neuroimaging - Related Videos
15:18
Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
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Cited by 139 •
2009
Despite an increase in the use of structural and functional magnetic resonance imaging (fMRI) in humans, the study of young pediatric populations remains a challenge. We present a hands-on, step-by-step video protocol including guidelines for clinicians and researchers intending to perform (f)MRI in young children.
09:15
fMRI: Functional Magnetic Resonance Imaging
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2023
Functional magnetic resonance imaging (fMRI) is a non-invasive neuroimaging technique used to investigate human brain function and cognition in both healthy individuals and populations with abnormal brain states. Functional MRI utilizes a magnetic resonance signal to detect changes in blood flow that are coupled to neuronal activation when a specific task is performed. This is possible because hemoglobin within the blood has different magnetic properties depending on whether or not it is bound...
09:20
Using fMRI to Dissect Moral Judgment
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2023
Source: William Brady & Jay Van Bavel—New York University In examining the roles of reason and emotion in moral judgments, psychologists and philosophers alike point to the trolley dilemma and the footbridge dilemma. With the trolley dilemma, most people say that it is appropriate to pull a switch to stop a train from hitting five people by diverting it to kill one person. However, with the footbridge dilemma, most people say it is inappropriate to push a large man off of a bridge in order...
12:21
Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
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Cited by 15 •
2011
Neuroimaging techniques, such as functional MRI and Diffusion Tensor Imaging have become increasingly useful in characterizing the cognitive and neural deficits in autism. An examination of brain connectivity in autism at a network level along with adaptations for scanning children with developmental disabilities is presented.
06:35
Basics of Multivariate Analysis in Neuroimaging Data
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Cited by 37 •
2010
The current article describes the basics of multivariate analysis and contrasts it to the more commonly used voxel-wise univariate analysis. Both types of analysis are applied to a clinical-neuroscience data set. Supplementary split-half simulations show better replication of the multivariate results in independent data sets.
FAQs
The BOLD signal arises from a local relationship between neural activity and vascular responses. When neural activity changes oxygen consumption, local blood flow alters the balance of oxygenated and deoxygenated hemoglobin. MRI detects the resulting change in magnetic signal, allowing activity-related patterns to be mapped without directly observing the neural events themselves.
The balance matters because oxygenated and deoxygenated hemoglobin contribute differently to the measured magnetic resonance signal. Changes in oxygen consumption and blood flow therefore modify the local BOLD response, which becomes the basis for identifying regions whose activity changes. Interpreting the signal requires relating this vascular pattern to underlying neural activity rather than treating it as a direct behavioral measure.
Functional connectivity analysis uses fMRI activity patterns to examine relationships among brain regions. Rather than focusing only on one location, researchers can investigate how activity is organized across the brain while studying human function. This approach is particularly relevant to neuroscience questions involving coordinated systems, sensory processing, cognition, behavior, and differences associated with neurological or psychiatric conditions.
Researchers can relate whole-brain activity patterns to sensory and cognitive processes, using broad coverage to examine how brain function accompanies behavior. This makes the method useful when a question concerns distributed activity rather than a single location. In neuroscience, such studies can connect measured brain responses with perception, cognition, and behavioral differences.
Comparisons involving neurological or psychiatric conditions can reveal brain-activity differences associated with those conditions. Researchers use these patterns to investigate disease mechanisms and characterize how brain function varies across participants. The findings are also relevant to diagnosis and treatment planning, extending fMRI research beyond basic descriptions of normal sensory or cognitive processing.
Because fMRI can measure activity across the whole brain noninvasively, it supports questions requiring a broad view of human brain function. Researchers can examine functional connectivity, sensory and cognitive processes, and condition-related differences within a common imaging approach. This breadth helps connect basic neuroscience findings with research on behavior, disease mechanisms, diagnosis, and treatment planning.