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External Capsule

The External Capsule is a white matter structure in the brain, located between the Putamen and the Claustrum.
It contains myelinated axons that connect different regions of the cerebral cortex.
The External Capsule plays a crucial role in the integration and processing of sensory information, motor control, and cognitive functions.
PubCompare.ai's AI-driven tools can help researchers optimize protocols, identify the best literature, pre-prints, and patents related to the External Capsule, and advance their studies in this important brain region.

Most cited protocols related to «External Capsule»

MRI data were obtained at room temperature using a 10-mm birdcage coil interfaced to a Bruker 17.6-T vertical magnet and console with 1000 mT/m imaging gradients. Pilot multislice axial, sagittal, and coronal T1- and diffusion-weighted imaging sequences were used to optimize the positions of 300-μm-thick axial MR-defined slices through the center of the 500-μm-thick rat cortical slices. The imaging protocol consisted of water diffusion measurements at four diffusion times (Td) along with T1 and T2 measurements (described below). All images for MRI measurements had limited in-plane resolution (matrix size = 128 × 64, FOV =15 mm) to maximize the SNR while reducing the time required per scan. This resolution was sufficient to manually draw rectilinear regions-of-interest (ROIs) for each cortical slice that excluded ACSF perfusate, the molecular layer of the cortex, and any apposed white matter from the corpus callosum or external capsule. Water diffusion measurements in cortical slices employed a pulsed-gradient spin-echo multislice sequence with 12 diffusion-weighted images using diffusion gradients oriented parallel to the tissue surface (0–950 mT/m) and Tds of 10, 20, 35, and 50 ms (δ = 3 ms). Diffusion gradient strengths were employed so that each Td measurement yielded images with b-values between 7 and 15,000 s/mm2 (including imaging cross-terms). Diffusion measurements had two averages with a 1.5-s repetition time and echo time (TE) was minimized with respect to Td (TE = 24, 34, 49, and 64 ms, respectively). The measured diffusion coefficient of water (1.94 ± 0.04 ms−1μm2) in the ACSF or PBS solutions using this protocol was similar to published values at room temperature (27 ) indicating accurate gradient calibrations for the diffusion MRI measurements.
T1 values were determined from a partial saturation experiment using 10 logarithmically-spaced repetition times between 75 ms and 10 s (TE = 10 ms). T2 values were estimated with a multiecho sequence (TR = 10 s) using 30 consecutive 10-ms echo images. Preliminary experiments demonstrated that this method of T2 measurement is not significantly influenced by water diffusion at room temperature. Further, the T1 and T2 relaxation rates were similar to previously unpublished values for water in PBS or ACSF solutions at 17.6-T. SNR for the relatively proton-density-weighted images (TR = 10 s, TE = 10 ms) obtained were calculated as the mean signal in the cortical slice (minus the mean noise signal) divided by the standard deviation (SD) of the noise signal. Note, these “relative proton density” determinations may be confounded by fixative-induced changes to spin populations with very short T2s.
Measurement for each diffusion time took 38 min for completion, the T1 measurements required 50 min, and the T2 measurements required 10 min. Viable slices were perfused with fresh ACSF equilibrated with 95% O2/5% CO2 for 8–10 min between each measurement (26 (link)). Additional multislice sagittal and coronal diffusion-weighted pilot images were acquired between MRI measurements to monitor for slice movement due to ACSF perfusion. Rat cortical slices that were chemically-fixed in aldehyde solutions did not require perfusion.
Publication 2009
Aldehydes Corpus Callosum Cortex, Cerebral Diffusion Diffusion Magnetic Resonance Imaging ECHO protocol External Capsule Fever Fixatives Kidney Cortex Movement Perfusion Population Group Protons Radionuclide Imaging Tissues White Matter

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Publication 2010
Anisotropy Brain Corpus Callosum Corticospinal Tracts Cranium Diffusion External Capsule Fibrosis Microtubule-Associated Proteins Pons Tissue Expansion Tissues
In order to create individualized atlases, a first step is to define and segment the individual anatomical structures from the MRM images of the mouse brain. The segmentation procedure we used was essentially similar to that described previously (Ma et al., 2005 (link)) with the exception that the first in vivo reference brain was segmented semi-automatically using our existing in vitro C57BL/6J mouse brain atlas (http://www.bnl.gov/ctn/mouse). The in vitro reference image was first registered with the in vivo image to be segmented (referred to as ‘target’ image) using linear and non-linear transformations [using both RVIEW (Studholme et al., 1996 (link)) and AIR_5.2.5 software packages (Woods et al., 1998 (link))]. The same transformation parameters were subsequently applied to bring the atlas of the in vitro brain into registration with the target in vivo brain hereby producing a pilot segmentation of the target image. Due to registration errors and especially due to inherent morphological differences between in vitro and in vivo mouse brains (Figure 6), the initial pilot segmentation did not match perfectly with the true structure boundaries in the in vivo image. Therefore the automatic segmentation result necessitated further smoothing and refinement which was done semi-automatically using a commercial 3D visualization and modeling software package (Amira 3.1, TGS, San Diego, CA).
The first segmented in vivo brain image was subsequently used as the new reference template to segment all other in vivo images since it registered better with the remaining in vivo group than the original in vitro reference brain. By repeating the above described processes a total of 12 in vivo mouse brain images were segmented. Each of the segmented in vivo data sets serves as an individualized atlas with 20 outlined brain structures which included: neocortex, hippocampus, amygdala, olfactory bulbs, basal forebrain and septum, caudate-putamen, globus pallidus, thalamus, hypothalamus, central gray, superior colliculi, inferior colliculi, the rest of the midbrain, cerebellum, the rest of the brainstem (i.e. pons and medulla), corpus callosum/external capsule, internal capsule, anterior commissure, fimbria, and ventricles. Quantitative structural information such as the averaged volumes and surface areas of each of the 20 structures were also extracted.
Publication 2008
Amygdaloid Body Basal Forebrain Brain Brain Stem Cerebellum Corpus Callosum External Capsule Fimbria of Hippocampus Globus Pallidus Heart Ventricle Hypothalamus Inferior Colliculus Internal Capsule Medulla Oblongata Mesencephalon Mice, Inbred C57BL Mice, Laboratory Neocortex Neostriatum Olfactory Bulb Pons Seahorses Tectum, Optic Thalamus
Each histological assessment was performed on five sections 400 μm apart. Infarct size was measured using Optimas 6.5 image software, and the intact areas of the isocortex, pyriform cortex, hippocampus, striatum, thalamus and external capsule white matter were delineated bilaterally and measured as described previously (Kendall et al., 2012 (link)). Injury score (see Table 1) based on combined microglial activation (αM immunoreactivity) and neuronal cell loss (Nissl stain) was assessed in the same aforementioned brain regions and adapted from a scoring system previously established in our laboratory (Kendall et al., 2006 (link)). The presence of cell death involving DNA fragmentation was detected through quantification of the number of TUNEL positive nuclei in three separate fields (×20 magnification) per assessed brain region. Mean and standard deviation of optical luminosity values were measured in three fields (×20 magnification) of the different brain regions of GFAP-stained slides using Optimas 6.5 image software (Kendall et al., 2011 (link)). All assessments were performed by an observer blinded to the different treatments. Additionally, each assessment was performed for each of the strains simultaneously.
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Publication 2015
Brain Cell Death Cell Nucleus Cells DNA Fragmentation External Capsule Glial Fibrillary Acidic Protein Infarction Injuries In Situ Nick-End Labeling Microglia Neocortex Neurons Prepyriform Area Seahorses Strains Striatum, Corpus Thalamus Vision White Matter

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Publication 2018
Brain Brain Stem Corpus Callosum Diffusion Epistropheus External Capsule Forceps Internal Capsule Knee Microtubule-Associated Proteins neuro-oncological ventral antigen 2, human Plant Cone Pons Splenius Tissues White Matter

Most recents protocols related to «External Capsule»

We performed a quantitative DTI analysis of white matter microstructure alterations in POE. We selected white matter regions of interest (ROI) a priori that have been implicated in functional outcome and cognition (corpus callosum and external capsule). As we have performed previously (39 (link), 42 (link)–47 (link)), ROIs were traced by an observer masked to experimental conditions and analyzed using Bruker's Paravision 6.1 imaging software (Billerica, MA). In brief, fractional anisotropy (FA), axial diffusivity (λ1), and radial diffusivity (λ2+λ32)  scalar maps were computed, and means were calculated individually for each ROI. For bilateral neuroanatomical ROIs, scalar means were acquired on each side and averaged per ROI. Two scans (both in the Saline group) were excluded from analysis—one due to poor field of view coverage and one due to severe motion-related artifact.
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Publication 2023
Anisotropy Cognition Corpus Callosum Diffusion External Capsule Leukoaraiosis Microtubule-Associated Proteins Radionuclide Imaging Saline Solution White Matter
High-pressure and high-temperature experiments were conducted using Kawai-type 2000-ton multi-anvil apparatus (Orange-2000) and Kawai-type 3000-ton multi-anvil apparatus (Orange-3000) installed at Geodynamics Research Center, Ehime University (GRC), Japan. The Orange-2000 was used only for Run No. OS3083, whereas all other experiments were conducted using the Orange-3000. All experiments were conducted at 28 GPa and temperatures were 1400 °C, 1500 °C, 1620 °C and 1700 °C, respectively (see also Supplementary Table 2). The relationship between the pressure and load was calibrated in advance. The heating duration for all experiments was 2 h. Tungsten carbide anvils (Fujilloy F08) with 4 mm truncated edge length (TEL) were used. The cell assembly used in this study is shown in Fig. 7. A platinum sample capsule was surrounded by an Fe-FeO buffer (iron wüstite buffer) to reproduce the oxygen fugacity corresponding to the lower mantle condition30 (link),42 (link),43 (link). We used 150 mesh iron powder and iron oxide (FeO) powders with 8 μm or 200 mesh for the Fe-FeO buffer [Fe:FeO = 2:1 (wt. %)]. Then, 20–50 μl of water was added to 0.5 g of Fe–FeO buffer. The platinum capsule was enclosed in an outer gold capsule. The two gold capsules were insulated from the Re heater with a thickness of 25 μm using a magnesia sleeve. The temperature was measured with a precision of ± 5 °C using a W–Re (W3%Re–W25%Re) thermocouple inserted into the octahedron and attached to the gold capsules. The hydrogen fugacity in the inner and outer capsules was assumed to be equal because of the high hydrogen permeability of platinum compared with that of gold. 15NH415NO3 decomposes into 15N2O and H2O at high temperatures, and 15NH3 is expected to be formed in the 15N–H–O fluid under reduced conditions buffered by Fe–FeO in an inner platinum capsule.

Schematic illustrating the cell assembly that was used in high-pressure and high-temperature experiments using multi-anvil apparatus. A LaCrO3 (brown) sleeve served as a thermal insulator. A platinum (light gray) sample capsule was made by combining two platinum tubes with 0.1 mm wall thickness, and outer diameters of 1.3 mm and 1.5 mm, respectively, by welding each end of the capsules. A gold capsule (yellow) was made from a gold tube with 0.1 mm wall thickness and 2.5 mm outer diameter.

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Publication 2023
Capsule Cells External Capsule ferric oxide Fever Gold Hydrogen Internal Capsule Iron Light Oxide, Magnesium Oxygen Permeability Platinum Powder Pressure tungsten carbide
White matter hyperintensities in cholinergic pathways were graded visually using the Cholinergic Pathways HyperIntensity Scale (CHIPS) by the first author on a single-rater basis. First reported by Bocti et al. (24 (link)), CHIPS is a visual rating scale developed based on published immunohistochemical tracings of the cholinergic pathways in humans (24 (link), 31 (link)), and was previously used by some studies for the relationship between WMH and cognition (12 (link), 13 (link)). According to Selden (31 (link)), the cholinergic pathways include the medial pathway and lateral pathway. The medial pathway is closely associated with the adjacent cingulate gyrus and rostrum of the corpus callosum; the lateral pathway courses through the external capsule and claustrum within the white matter (31 (link)). Accordingly, four axial planes of T2-FLAIR images were identified by major anatomical landmarks—low external capsule, high external capsule, corona radiata, and centrum semiovale (Figure 1). Medial pathway is included in two of the axial planes as anterior cingulate gyrus and posterior cingulate gyrus. A total of 10 regions are illustrated in Figures 1AD. White matter hyperintensity of each region was determined visually on a 3-point scale for each region (0 = normal; 1 = minimal; 2 = confluent or moderate to severe). To account for the decreasing concentration of cholinergic fibers, each slice was weighted sequentially from 1 to 4 with one being the centrum semiovale and four being the lower external capsules (Table 1). The total CHIPS score (both hemispheres) ranged from 1 to 100. The lowest CHIPS score is 0, indicating no burden of WMH in cholinergic pathways, and the highest CHIPS score is 100 (24 (link)). The corresponding author independently rated CHIPS scores of random 65 participants to ascertain the inter-rater reliability of CHIPS. Controversial images were rated based on the consensus of the first author, the corresponding author, and a radiologist (Cheng-Feng Ho). The consensus CHIPS scores were used in our regression analyses. Intra-rater reliability was calculated by two independent ratings of the first author. The inter-rater reliability and intra-rater reliability were analyzed by inter-class correlation coefficient (ICC).
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Publication 2023
Anatomic Landmarks Cholinergic Agents Cholinergic Fibers Claustrum Cognition Corpus Callosum External Capsule Gyrus, Anterior Cingulate Gyrus Cinguli Homo sapiens Posterior Cingulate Cortex Radiologist White Matter
We defined the BLA as composed of basal, lateral, and accessory basal nuclei of the amygdala, as previously reported [7 (link)]. Manual ROIs were carefully drawn on the right and left BLA regions on slices encompassing the amygdala on DTI parametric maps based on known anatomical locations from atlases [32 (link)]. The amygdala complex starts at approximately Bregma −1.30 and extends to −4.80 mm. The basal and lateral nuclei (BLA) are found within this antero-posterior range from −1.40 to −3.80 mm. For our analysis, the BLA was bounded by the external capsule, a white matter tract that is readily discernible on MRI. The dorsal extent of the BLA starts at the level of the rhinal fissure and extends 1.5 to 2 mm ventrally. The BLA is also bounded by the striatal, cortical (piriform) and ventricular structures (central and medial nuclei of the amygdala) in the medial aspect. Volumetric analyses of the total brain and BLA were performed on MR coronal slices using Cheshire image processing software (Hayden Image/Processing Group, Waltham, MA, USA, RRID:SCR_018225). For the volumetric data, bilateral BLA boundaries were manually drawn on each data set from the slice-shifted directionally encoded DTI image series using the boundaries as described above. Areas from each slice were extracted and multiplied by the effective interslice distance (200 µm) and slice number to obtain BLA volumes. All data were extracted and summarized in Excel.
To further demonstrate the robustness of the described approach, we undertook inter-rater calculations of the amygdala volumes from a random subset of three animals. Rater A derived the original delineations reported herein, Rater B had limited experience with MRI or amygdala anatomy, whilst Rater C has extensive knowledge of both. Raters B and C were provided with a protocol and a coded dataset with no additional training. After initial assessments, Rater B (least experienced) was provided with additional training and knowledge of the amygdala and then retraced the volumes 60 days later. We also tested for test–retest reliability, where Rater B re-acquired all volumes 30 days after the first set of delineations. No significant differences between amygdala volumes were found (see Supplemental Figure S4).
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Publication 2023
Amygdaloid Body Animals Basal Amygdaloid Nucleus Basal Ganglia Brain Cortex, Cerebral External Capsule Heart Ventricle Lateral Dorsal Nucleus Microtubule-Associated Proteins Nucleus, Medial Amygdalar Striatum, Corpus White Matter
Measurements were performed with a Biospec 70/30 spectrometer (Bruker Medical Systems, Ettlingen, Germany) operating at 7T. The operational software of the scanner was Paravision 5.1 (Bruker). Images were acquired from anesthetized, spontaneously breathing animals using a circularly polarized coil (Bruker, Model 1P T20063V3; internal diameter 23 mm) for radiofrequency excitation and detection. Neither cardiac nor respiratory triggering was applied. Following a short period of introduction in a box, mice were maintained in anesthesia with 1.5% isoflurane (Abbott, Cham, Switzerland) in oxygen, administered via a nose cone. During MRI signal acquisitions, animals were placed in prone position in a cradle made of Plexiglas, the body temperature was kept at 37 ± 1 °C using a heating pad, and the respiration was monitored.
A T2-weighted, two-dimensional multislice RARE (Rapid Acquisition with Relaxation Enhancement) sequence [34 (link)] was used for selecting the regions-of-interest (ROIs) and for evaluating signal intensities. A two-dimensional multislice gradient-recalled FLASH (Fast Low-Angle Shot) acquisition [35 (link)] served to assess the magnetization transfer ratio (MTR), a measure reflecting myelin content (Beckmann et al., 2018). Assessments of the relaxation time T2 were performed using a multislice spin-echo sequence. As the three sequences had the same anatomical parameters, the ROIs for evaluations were selected on the RARE images and then transferred to the FLASH and spin-echo images. MRI images were analyzed using the Paravision software.
The parameters of the acquisitions were the following: (a) RARE sequence: effective echo time (TE) 80 ms, repetition time (TR) 3280 ms, RARE factor 16, 12 averages. Hermite pulses of duration/bandwidth 1 ms/5400 Hz and 0.64 ms/5344 Hz were used for radiofrequency excitation and refocusing, respectively. Fat suppression was achieved by a gauss512 pulse of 2.61 ms/1051 Hz duration/bandwidth followed by a 2-ms-long gradient spoiler. The total acquisition time was of 7 min 52.3 s; (b) FLASH sequence: TE/TR 2.8/252.8 ms, 4 averages. A hermite pulse of 0.9 ms/6000 Hz duration/bandwidth and flipangle 30° was used for radiofrequency excitation. MTR contrast was introduced by a gauss pulse of 15 ms/182.7 Hz duration/bandwidth applied with radiofrequency peak amplitude of 7.5 μT and an irradiation offset of 2500 Hz. The acquisition was then repeated with the same parameters but without the introduction of the MTR contrast. MTR was then computed using the formula MTR = (S0 − SMTR)/S0, where S0 and SMTR represent, respectively, the signal intensities in the FLASH acquisitions without and with the introduction of the MTR contrast. The total acquisition time for both data sets was of 6 min 31.6 s; (c) assessments of the relaxation time T2 were performed using a multislice spin-echo sequence with the parameters: 16 echoes spaced by 11 ms, TE from 11 to 176 ms, TR 3000 ms, fat suppression as described above. T2 was determined by exponentially fitting with Origin Pro® 2021 (OriginLab, Northampton, MA, USA) the mean signals as function of TE from ROIs placed in the corpus callosum (cc) and the external capsule (ec). All three sequences were run using the same anatomical parameters: field-of view 20 × 18 mm2, matrix size 213 × 192, pixel size 0.094 × 0.094 mm2, slice thickness 0.5 mm, 15 adjacent slices.
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Publication 2023
Anesthesia Animals Body Temperature Corpus Callosum ECHO protocol External Capsule Heart Isoflurane Mus Myelin Nose Oxygen Plexiglas Pulse Rate Pulses Radiotherapy Respiration Respiratory Rate Retinal Cone

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More about "External Capsule"

The External Capsule is a critical white matter structure in the brain, located between the Putamen and the Claustrum.
This important neural pathway contains myelinated axons that facilitate communication and integration between different regions of the cerebral cortex.
The External Capsule plays a crucial role in sensory processing, motor control, and cognitive functions.
Researchers studying the External Capsule can leverage PubCompare.ai's AI-driven tools to optimize their research protocols and identify the best literature, pre-prints, and patents related to this brain region.
These intelligent comparison tools can help streamline the research process and uncover the most relevant information to advance studies on the External Capsule.
Enhancing External Capsule research may involve the use of specialized equipment and software, such as MATLAB for data analysis, Axoclamp 700B for electrophysiological recordings, M590L2-C2 electrodes, and S146C sensors for neural signal detection.
The PClamp 10 software can be utilized for data acquisition and analysis, while the RNeasy Plus Mini Kit and RNase-Free DNase Set may be employed for RNA extraction and purification.
By incorporating these insights and tools, researchers can optimize their protocols, identify the best literature and resources, and make meaningful progress in understanding the crucial role of the External Capsule in brain function.
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