Brain Imaging Analysis
Brain Imaging Analysis - Related Videos
16:08
Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
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Cited by 11 •
2012
We present a protocol that allows investigation of the neural mechanisms mediating the detrimental impact of emotion on cognition, using functional magnetic resonance imaging. This protocol can be used with both healthy and clinical participants.
08:49
Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy
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Cited by 2 •
2022
This protocol describes methods for conducting magnetic resonance imaging, clearing, and immunolabeling of intact mouse brains using iDISCO+, followed by a detailed description of imaging using light-sheet microscopy, and downstream analyses using NuMorph.
17:06
Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Cited by 16 •
2012
We describe a novel approach for simultaneous analysis of brain function and structure using magnetic resonance imaging (MRI). We assess brain structure with high-resolution diffusion-weighted imaging and white-matter fiber tractography. Unlike standard structural MRI, these techniques allow us to directly relate anatomical connectivity to functional properties of brain networks.
06:36
Micro-CT Imaging and Morphometric Analysis of Mouse Neonatal Brains
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2023
This study describes the steps for obtaining high-resolution images of neonatal mouse brains by combining micro-computed tomography (micro-CT) and a contrast agent in ex vivo samples. We describe basic morphometric analyses to quantify brain size and shape in these images.
07:12
Profiling Maternal Behavior Responses During Whole-Brain Imaging
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2025
Presented here is a video analysis pipeline that overcomes challenges in behavioral monitoring within MRI environments, allowing for the detection of uninstructed behavioral responses to external cues. This analysis will facilitate a more comprehensive understanding of evoked internal state changes and brain-wide activity.
FAQs
The analytical target depends on the imaging modality. Structural MRI analysis emphasizes tissue contrast, whereas functional analysis examines changes in blood oxygenation. This distinction determines which measurements are extracted and how they can be related to neural organization, activity, behavior, disease, or treatment. It also prevents investigators from treating unlike signals as equivalent.
Noise and motion can obscure or distort the signal that analysts want to measure. Preprocessing addresses these sources of unwanted variation before images are compared or quantified. By improving signal quality, this step can increase the sensitivity of group comparisons and make findings more reproducible across participants, scans, and longitudinal assessments.
Alignment places images from different participants or scanning sessions into a shared anatomical reference. This common space allows corresponding regions to be compared systematically rather than analyzed as unrelated locations. The procedure is especially important for group studies, developmental research, and longitudinal work, where anatomical correspondence supports consistent measurement and interpretation.
Analysts can organize measurements around specific brain regions or broader networks, depending on the research question. Regional analysis helps quantify localized signals, while network-oriented analysis supports investigation of connectivity and coordinated organization. These approaches provide complementary ways to relate imaging findings to cognition, behavior, development, neurological disorders, or treatment.
A typical workflow begins by reducing noise and motion, then aligns images to a common anatomical space. Analysts next identify relevant regions or networks and quantify modality-specific signals, such as MRI-based tissue contrast or functional changes in blood oxygenation. The resulting measurements can then support group comparisons, behavioral associations, or longitudinal evaluation.
Researchers apply these methods when they need to connect brain organization or activity with behavior, disease, or treatment. The approach supports studies of connectivity, development, cognition, and neurological disorders. It is also useful when investigators need sensitive, reproducible measurements for comparing groups or tracking changes across repeated assessments.
Quantified imaging measurements can provide consistent variables for evaluating differences between groups or changes within the same study over time. Their reproducibility and sensitivity are relevant to biomarker development, while repeated analysis supports longitudinal research. Together, these capabilities help investigators examine disease-related patterns, treatment effects, or developmental change using structured imaging outcomes.