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Cerebral Peduncle

The cerebral peduncle is a critical brain structure that serves as a major conduit for motor and sensory information.
It connects the cerebrum to the midbrain, facilitating the exchange of signals between higher and lower brain regions.
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Most cited protocols related to «Cerebral Peduncle»

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Publication 2009
Brain Stem Cerebellum Cerebral Peduncle Cognition Medulla Oblongata Neurons Ventricles, Fourth
To address the potential of the iterative technique to improve the SM of general structures such as the basal ganglia, a 3D model of the brain was created including the: red nucleus (RN), substantia nigra (SN), crus cerebri (CC), thalamus (TH), caudate nucleus (CN), putamen (PUT), globus pallidus (GP), grey matter (GM), white matter (WM), cerebrospinal fluid (CSF) and the major vessels [34 ]. The structures in the 3D brain model were extracted from two human 3D T1 weighted and T2 weighted data sets. Basal ganglia and vessels are from one person; grey matter and white matter are from the other person’s data set. Since all structures are from in vivo human data sets, this brain model represents realistic shapes and positions of the structures in the brain. Susceptibility values in parts per million (ppm) for the structures SN, RN, PUT and GP, were taken from ref. [12 (link)] and others were from measuring the mean susceptibility value in a particular region from SMs using ref. [18 (link)] from in vivo human data: RN = 0.13, SN = 0.16, CC = −0.03, TH = 0.01, CN = 0.06, PUT = 0.09, GP = 0.18, vessels = 0.45, GM = 0.02, CSF = −0.014 and WM=0. All structures were set inside a 512×512×256 matrix of zeros. The phase of the 3D brain model was created by applying the forward method [8 (link),26 ,27 ,32 (link)] to the 3D brain model with different susceptibility distributions using the imaging parameters: TE = 5ms and B0 = 3T. A comparison between the phase maps from this brain model and a real data set is shown in Fig.3. To match the imaging parameters of the real data set, B0=3T and TE=18ms were applied for the results presented in Fig.3. Except for Fig.3, all other figures in the paper associated with the 3D brain were simulated by using TE=5ms.
Publication 2012
Basal Ganglia Blood Vessel Brain Brain Mapping Cerebral Peduncle Cerebrospinal Fluid Globus Pallidus Gray Matter Homo sapiens Nucleus, Caudate Putamen Red Nucleus Substantia Nigra Susceptibility, Disease Thalamus White Matter

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Publication 2014
Anatomic Landmarks Cerebral Aqueduct Cerebral Peduncle Gray Matter Mangifera indica Red Nucleus Tectum, Optic Ventricles, Fourth Ventricles, Third White Matter

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Publication 2012
A Fibers Anterior Fascicle Cerebral Peduncle Cornus Cortex, Cerebral Diffusion Fibrosis Human Body Internal Capsule Knee Lobe, Frontal Motor Cortex Occipital Lobe Parietal Lobe Prefrontal Cortex Sensorimotor Cortex Splenius Temporal Lobe Uncinate Fasciculus Ventricle, Lateral

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Publication 2011
Amygdaloid Body Brain Cerebral Peduncle Human Body Seahorses Tail Tissues

Most recents protocols related to «Cerebral Peduncle»

This retrospective study analyzed 33 consecutive patients benefitting from either Remebot frameless or frame-based stereotactic brainstem lesion biopsy at the Department of Neurosurgery, Tongji hospital, from January 2016 to January 2021. The included patients presented with a brainstem tumor without clear diagnosis, requiring a biopsy approved by a multidisciplinary neuro-radio-oncology board discussion. Brainstem tumors were defined by cerebral magnetic resonance imaging (MRI) as involving the mesencephalon, crus cerebri, pons, or medulla oblongata. The patients were divided into two groups: the frame-based group (Frame, n = 11) and the Remebot frameless group (Remebot, n = 22).
This study was approved by the ethics committee of Tongji Hospital, Huazhong University of Science and Technology. All patients and/or their relatives signed informed consent documents.
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Publication 2023
Biopsy Brain Stem Brain Stem Neoplasms Cerebral Peduncle Diagnosis Ethics Committees, Clinical Medulla Oblongata Mesencephalon Neoplasms Neurosurgical Procedures Patients Pons Reading Frames
Growth and sprouting of BDA-positive CST fibers to stroke-denervated hemicord in response to stroke and intranasal anti-Nogo-A treatment were evaluated in three adjacent cross-sections at the caudal cervical enlargement C3 to C6. Midline-crossing fibers were manually counted in the dorsal and ventral commissure at the central canal (see Fig. 5B level M) and the branching of these fibers was evaluated at four defined regions within the gray matter (28 ), (see Fig. 5B levels D1 to D4). Six vertical lines (M, D1 to D4, and L) were superimposed on each spinal cord section using ROI manager in FIJI (ImageJ) as reference points for crossing axons. The first vertical line M was drawn through the central canal; L was drawn parallel to M and at the lateral rim of the gray matter. D1 to D4 were drawn parallel to M, at one-fifth, two-fifths, etc. of the distance between M and L (Fig. 5B). CST fibers in the gray matter have an irregular course, passing in and out of the plane of the section. To prevent multiple counting of single collaterals, only fibers that crossed M, D1, D2 D3, and D4 were counted on each section.
For the analysis of corticopontine projections to stroke-affected basilar pontine nuclei, three consecutive sections with clearly visible basilar pontine nuclei on the ipsilateral side to the BDA injection were chosen. Using ROI Manager in FIJI (ImageJ), four defined nuclei were selected on the ipsilateral to the BDA injection side and mirrored to the contralateral side of the section to ensure the proper location of the nuclei for the manual count of fibers (Fig. 6A). The central and medial nuclei were analyzed as one region of interest, the lateral was split in 2 – a lower, denser (lateral 1), and upper lighter (lateral 2) region (Fig. 6A). To correct for variations in BDA labeling, we normalized the data (pons and cervical spinal cord) to the number of BDA-labeled fibers counted in 10% of the area of the whole cerebral peduncle. The cerebral peduncle on the level of the midbrain had a cross-sectional area of about 300,000 µm2. On the ipsilateral to the BDA injection side of the brain, in this area of the cerebral peduncle, labeled fibers in five regions of 6,000 µm2 each were counted, which amount to 10% of the cerebral peduncle BDA-labeled corticofugal fibers. This value was later used as a normalization factor in the analysis of the midline crossing fibers.
Photothrombotic stroke, intrathecal administration of the antibodies, neuroanatomical tracing, and histology of labeled corticospinal tract were performed according to published protocols. More details regarding these procedures can be found in SI Appendix.
Publication 2023
A 300 Antibodies Axon Brain Cell Nucleus Cerebral Peduncle Cerebrovascular Accident Corticospinal Tracts factor A Gray Matter Hypertrophy Neck Pons Pulp Canals Spinal Cord Spinal Cords, Cervical
The 3D Slicer software package (version 4.11)1 was used to measure the SN and LC. The SN was visible for four consecutive slices below the cross-section of the inferior colliculus. Similar to previous studies (Langley et al., 2015 (link); Isaias et al., 2016 (link); Wang et al., 2018 (link); Li et al., 2019 (link)), the level tracing segment editor module was used to create regions of interest (ROIs) semiautomated interactively in a blind manner by a neuroradiologist with 9 years of experience (SW). The volume and surface area of SN and LC were then calculated. ROIs for background were defined as circular areas (4 mm in diameter) in the cerebral peduncle (CP) on the left and right sides (Figure 1). The contrast-to-noise ratio (CNR) between the SN and CP was then calculated with the following equation: CNRSN = (SISN–SICP)/SDCP. SISN and SICP represented the mean signal intensity in the ROIs for SN and CP, respectively, and SDCP represented the standard deviation of the ROI for CP. The values of SICP and SDCP used in the equation were the average values of both CP sides.
The location of LC was identified as the spot with the highest intensity adjacent to the fourth ventricle on the bilateral sides, which was visible for three axial slices at the level of the pons. Similar to the SN assessment, the volume and surface area of LC were assessed semiautomatically. Background reference ROIs (circles with a 6 mm in diameter) were placed in the pontine (PT) tegmentum. We calculated the CNR between the LC and PT according to the following equation: CNRLC = (SILC–SIPT)/SDPT. SILC and SIPT represent the mean signal intensity in the ROIs for LC and PT, respectively, and SDPT represents the standard deviation of the ROI for PT.
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Publication 2023
Cerebral Peduncle Inferior Colliculus Pons sipuleucel-T Tegmentum, Pontine Ventricles, Fourth Visually Impaired Persons
Anterior- and posterior-commissures were aligned using DTI Studio43 (link) and MRI bias-field was corrected using N444 (link). Threshold was applied to the magnitude images of multi-echo GRE with the shortest TE to generate masks of the gray matter, white matter, and ventricles. Anatomic regions comprising the cerebral gray and white matter, cerebellar gray and white matter, corpus callosum, cerebral peduncle, midbrain, pons, and 10 subcortical nuclei (i.e., putamen, globus pallidus, caudate nucleus, thalamus, hippocampus, amygdala, subthalamic nucleus, red nucleus, substantia nigra, and dentate nucleus) were segmented manually in ITK-Snap45 (link) using the generated gray matter/white matter masks while referencing neuroanatomy books46 (link),47 (link). The segmentations were corrected iteratively until no errors or inconsistencies across the scans were found. The magnitude images were also used to estimate R2* transverse relaxation rate by fitting weighted-least-squares function on log-transformed signal intensities27 (link),48 using MATLAB R2014b (The MathWorks, Inc.).
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Publication Preprint 2023
Amygdaloid Body Body Regions Cell Nucleus Cerebellum Cerebral Peduncle Corpus Callosum ECHO protocol Globus Pallidus Gray Matter Heart Ventricle Mesencephalon Nucleus, Caudate Nucleus, Dentate Pons Putamen Radionuclide Imaging Red Nucleus Seahorses Substantia Nigra Subthalamic Nucleus Thalamus White Matter
Several pre-processing steps were taken prior to analysis of the brain MRI data, which are described in further detail in Appendix 5. These included conversion from DICOM to NIFTI-1 using dcm2niix, followed by correction of eddy current and motion artifact in the diffusion volumes through use of the FSL TOPUP/EDDY algorithm.
Manual segmentation of regions of interest corresponding to the location of the corticospinal tract (CST) was performed bilaterally in the: corona radiata, posterior limb of internal capsule (PLIC), and cerebral peduncles. The corona radiata slice was selected to be one slice above the top of the ventricles; the PLIC slice was selected at the level of the foramina of Munro; and the cerebral peduncle slice was selected one slice below the bottom of the thalami (Figure 5). The volumetric T1 scan and the color FA maps were used as guidance to identify the corticospinal tract at these levels, with reference to a detailed white matter atlas (38 ).
Descriptive statistics were calculated in DSI studio and data describing the fractional anisotropy were obtained from the cross-sectional regions of interest corresponding to the tract at these three separate locations. The affected side data was normalized against the unaffected side to account for any background variation.
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Publication 2023
Anisotropy Brain Cerebral Peduncle Corticospinal Tracts Diffusion Heart Ventricle Internal Capsule Microtubule-Associated Proteins Radionuclide Imaging Thalamus White Matter

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More about "Cerebral Peduncle"

The cerebral peduncle, also known as the crus cerebri or cerebral crus, is a critical structure within the brain that serves as a vital conduit for motor and sensory information.
This essential brain region connects the cerebrum, the largest part of the brain responsible for higher cognitive functions, to the midbrain, facilitating the exchange of signals between these higher and lower brain regions.
Researchers studying the cerebral peduncle can leverage the power of AI-driven protocols, such as those offered by PubCompare.ai, to optimize their research process.
These advanced tools allow researchers to easily locate the best protocols from the literature, preprints, and patents, using powerful comparison features.
By harnessing the insights provided by AI-powered analysis, researchers can identify the most effective products and streamline their cerebral peduncle research, accelerating their discoveries.
In addition to the cerebral peduncle, researchers may also be interested in exploring related brain structures and techniques, such as the Vevo 770 ultrasound imaging system, the Metamorph software for image analysis, the Multimodality Workplace for integrated imaging, the Discovery 750w microscope, the Axioscop microscope, the Neurolucida software for neuroanatomical reconstruction, the IRDye 800CW goat anti-rabbit antibody for fluorescent labeling, the LSM 710 confocal microscope, and the CellSens imaging software.
By incorporating these tools and techniques, researchers can gain a more comprehensive understanding of the cerebral peduncle and its role within the complex network of the brain.
Ultimately, the cerebral peduncle is a fascinatig and critical brain structure that warrants in-depth study.
By leveraging the power of AI-driven protocols and a wide range of research tools and techniques, researchers can unlock new insights and accelerate their discoveries in this important area of neuroscience.