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Internal Capsule

The internal capsule is a bundle of white matter fibers in the brain that connects the cerebral cortex with the midbrain, pons, and medulla oblongata.
It plays a crucial role in the transmission of sensory, motor, and cognitive information between the cerebral hemisphers and other brain regions.
Optimizing research on the internal capsule can provide valuable insights into neurological functions and disorders.
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Most cited protocols related to «Internal Capsule»

All MRIs were assessed blinded to clinical information by one experienced neuroradiologist for the presence, location, and size of the recent symptomatic infarct and any other vascular lesions. A recent infarct was defined as a hyperintense area on DWI with corresponding reduced signal on the apparent diffusion coefficient image, with or without increased signal on FLAIR or T2-weighted imaging, that corresponded with a typical vascular territory.18 Recent small subcortical (lacunar) infarcts were defined as rounded or ovoid lesions with signal characteristics as above, >3- but <20-mm diameter, in the basal ganglia, internal capsule, centrum semiovale, or brainstem and carefully distinguished from WMH.1 (link) Cortical infarcts were defined as infarcts involving cortical ± adjacent subcortical tissue, or large (>2-cm) striatocapsular/subcortical lesions.14 (link) Lacunes were defined as rounded or ovoid lesions, >3- and <20-mm diameter, in the basal ganglia, internal capsule, centrum semiovale, or brainstem, of CSF signal intensity on T2 and FLAIR, generally with a hyperintense rim on FLAIR and no increased signal on DWI.14 (link) Microbleeds were defined as small (<5 mm), homogeneous, round foci of low signal intensity on gradient echo images in cerebellum, brainstem, basal ganglia, white matter, or cortico-subcortical junction, differentiated from vessel flow voids and mineral depositions in the globi pallidi.14 (link) Deep and periventricular WMH were both coded according to the Fazekas scale from 0 to 3.19 (link) We defined PVS as small (<3 mm) punctate (if perpendicular) and linear (if longitudinal to the plane of scan) hyperintensities on T2 images in the basal ganglia or centrum semiovale, and they were rated on a previously described, validated semiquantitative scale from 0 to 4.7 (link) Cerebral atrophy was classified for both deep (enlargement of the ventricles) and superficial (enlargement of the sulci) components on a 4-point scale (absent, mild, moderate, severe) in study 1, and on a modified 6-point version of the same scale in study 2.20 (link) The atrophy grade is determined by comparison with templates indicating normal to atrophied brains obtained in research into normal subjects on our scanner.20 (link) To merge the data from both studies, we condensed study 2's version to 4 categories (1 absent, 2–3 mild, 4 moderate, 5–6 severe). The intraclass correlation coefficient for WMH intraobserver rating (100 scans) was 0.96. The intrarater κ for PVS (50 scans) was 0.80 to 0.90 (unpublished data), for lacunes was 0.85 (unpublished data), and for microbleeds was 0.68 to 0.78.21 (link)
Publication 2014
Basal Ganglia Blood Vessel Brain Brain Stem Cerebellum Cortex, Cerebral Diffusion ECHO protocol Globus Pallidus Heart Ventricle Hypertrophy Infarction Infarction, Lacunar Internal Capsule Magnetic Resonance Imaging Minerals Radionuclide Imaging Tissues Urination White Matter
The fMRI analysis was based around the timeseries of model-free and
model-based RPEs as generated from the simulation of the model over each
subject’s experiences. We defined two parametric regressors –
the model-free RPE, and the difference between the model-free and model-based
RPEs. The latter regressor characterizes how net BOLD activity would differ if
it were correlated with model-based RPEs or any weighted mixture of both. For
each trial, the RPE timeseries were entered as parametric regressors modulating
impulse events at the second-stage onset and reward receipt. To test the
correspondence between behavioral and neural estimates of the model-based
effect, we also included the per-subject estimate of the model-based effect
(w, above) from the behavioral fits as a second-level
covariate for the difference regressor. A full description of the analysis is
given in Supplemental
Experimental Procedures
.
For display purposes, we render activations at an uncorrected threshold
of p<.001 (except relaxing this in one case to p<.005), overlaid on the
average of subjects’ normalized structural images. For all reported
statistics, we subjected these uncorrected maps to cluster-level correction for
family-wise error due to multiple comparisons over the whole brain, or, in a few
cases (noted specifically) over a small volume defined by an anatomical mask of
bilateral nucleus accumbens. This mask was hand-drawn on the subject-averaged
structural image, according to the guidelines of Breiter et al. (Ballmaier et al., 2004 (link); Breiter et al., 1997 (link); Schonberg et al., 2010 (link)), notably, defining the nucleus’
superior border by a line connecting the most ventral point of the lateral
ventricle to the most ventral point of the internal capsule at the level of the
putamen. Conjunction inference was by the minimum t-statistic
(Nichols et al., 2005 (link)) using the
conjunction null hypothesis. The difference regressor was orthogonalized against
the RPE regressor, so that up to minor correlation that can be reintroduced by
whitening and filtering, it captured only residual variation in BOLD activity
not otherwise explained by the model-free RPE. However, note that conjunction
inference via the minimum t-statistic is valid even when the
conjoined contrasts are not independent (Nichols
et al., 2005
).
Publication 2011
Brain Cell Nucleus Contrast Media fMRI Internal Capsule Microtubule-Associated Proteins Nervousness Nucleus Accumbens Seizures

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Publication 2016
Brain Heart Ventricle Insula of Reil Internal Capsule Lobe, Frontal Microtubule-Associated Proteins Putamen Thalamus Vibration Voluntary Workers White Matter
With all data spatially aligned in a similar analysis space, mean developmental MWF, T1 and T2 trajectories were obtained for the genu, splenium and body of the corpus callosum, right and left hemisphere cingulum, corona radiata, internal capsule and optic radiation, and right and left hemisphere frontal, occipital, temporal, parietal and cerebellar white matter regions.
Anatomical masks for each of these regions (derived as outlined below) were superimposed onto each infant's dataset, and the mean and standard deviation calculated for each region. Only voxels with MWF values greater than 0.001 were included in the regional means.
For the frontal, occipital, parietal, temporal and cerebellar white matter,

A global binary white matter mask was calculated by thresholding the MNI white matter probability image provided within FSL (www.fmrib.ox.ac.uk/fsl) at 180.

Masks of the frontal, occipital, parietal, temporal and cerebellar lobes were obtained from the MNI database (Mazziotta et al., 2001 (link)). These were multiplied by the binary global mask (1) to obtain the regional white matter masks.

The white matter masks for each region were divided by hemisphere.

The registration transformation between the MNI template and the study template was calculated, and each masked transformed to the study space.

For the white matter tract masks, including genu, body and splenium of the corpus callosum, cingulum, corona radiata, internal capsule, and optic radiation, this same process was applied to the John Hopkins University DT-MRI white matter atlas (Oishi et al., 2008 (link)). The corona radiata mask comprised the anterior, superior and posterior portions; the internal capsule mask comprised the anterior, posterior and retrolenticular portions. Each of these regions, superimposed onto the mean study template is shown in Fig. 4.
Pearson correlations between MWF and T1; and MWF and T2 were calculated for each white matter tract and region across the full age range; as well as across developmental periods between 1) 0 and 6 months of age; 2) 6–12 months; 3) 12–24 months; 4) 24–36 months; 5) 36–48 months; and 6) 48–60 months of age.
Publication 2012
Body Regions Cerebellum Corpus Callosum Eye Human Body Internal Capsule Knee Radiotherapy Splenius White Matter White Matter, Cerebellar
For all study subjects, the first available CT was evaluated. Intracerebral hemorrhage location was assigned based on admission CT by study neurologists blinded to clinical data. Intracerebral hemorrhage exclusively involving the thalamus, basal ganglia, internal capsule, and deep periventricular white matter was defined as deep ICH, whereas ICH originating at the cortex and cortical-subcortical junction was defined as lobar ICH. Hemorrhages involving more than 1 territory were defined as mixed ICH. Differences in ICH location were adjudicated by consensus. Intracerebral hemorrhage volume was measured using Alice (Parexel International) and Analyze version 9.0 (Mayo Clinic) software, using previously described methods.15 (link) Intraventricular bleeding was not included in volume calculations. Subjects with mixed (n=10) and primary intraventricular (n=52) hemorrhages, as well as those initially imaged beyond 72 hours of symptom onset (n=35), were excluded from the analysis. Unless contraindicated, imaging of the intracranial vasculature (CT angiography, conventional angiography, or magnetic resonance angiography) was performed to rule out secondary causes of ICH.
Publication 2013
Angiography Basal Ganglia Cerebral Hemorrhage Computed Tomography Angiography Cortex, Cerebral Hemorrhage Internal Capsule Magnetic Resonance Angiography Neurologists Thalamus White Matter

Most recents protocols related to «Internal Capsule»

Authorizations for reporting these three cases were granted by the Eastern Ontario Regional Forensic Unit and the Laboratoire de Sciences Judiciaires et de Médecine Légale du Québec.
The sampling followed a relatively standardized protocol for all TBI cases: samples were collected from the cortex and underlying white matter of the pre-frontal gyrus, superior and middle frontal gyri, temporal pole, parietal and occipital lobes, deep frontal white matter, hippocampus, anterior and posterior corpus callosum with the cingula, lenticular nucleus, thalamus with the posterior limb of the internal capsule, midbrain, pons, medulla, cerebellar cortex and dentate nucleus. In some cases, gross pathology (e.g. contusions) mandated further sampling along with the dura and spinal cord if available. The number of available sections for these three cases was 26 for case1, and 24 for cases 2 and 3.
For the detection of ballooned neurons, all HE or HPS sections, including contusions, were screened at 200×.
Representative sections were stained with either hematoxylin–eosin (HE) or hematoxylin-phloxin-saffron (HPS). The following histochemical stains were used: iron, Luxol-periodic acid Schiff (Luxol-PAS) and Bielschowsky. The following antibodies were used for immunohistochemistry: glial fibrillary acidic protein (GFAP) (Leica, PA0026,ready to use), CD-68 (Leica, PA0073, ready to use), neurofilament 200 (NF200) (Leica, PA371, ready to use), beta-amyloid precursor-protein (β-APP) (Chemicon/Millipore, MAB348, 1/5000), αB-crystallin (EMD Millipore, MABN2552 1/1000), ubiquitin (Vector, 1/400), β-amyloid (Dako/Agilent, 1/100), tau protein (Thermo/Fisher, MN1020 1/2500), synaptophysin (Dako/Agilent, ready to use), TAR DNA binding protein 43 (TDP-43) ((Protein Tech, 10,782-2AP, 1/50), fused in sarcoma binding protein (FUS) (Protein tech, 60,160–1-1 g, 1/100), and p62 (BD Transduc, 1/25). In our index cases, the following were used for the evaluation of TAI: β-APP, GFAP, CD68 and NF200; for the neurodegenerative changes: αB-crystallin, NF200, ubiquitin, tau protein, synaptophysin, TDP-43, FUS were used.
For the characterization of the ballooned neurons only, two cases of fronto-temporal lobar degeneration, FTLD-Tau, were used as controls. One was a female aged 72 who presented with speech difficulties followed by neurocognitive decline and eye movement abnormalities raising the possibility of Richardson’s disorder. The other was a male aged 67 who presented with a primary non-fluent aphasia progressing to fronto-temporal demαentia. In both cases, the morphological findings were characteristic of a corticobasal degeneration.
Publication 2023
Amyloid beta-Protein Precursor Amyloid Proteins Antibodies Broca Aphasia Cloning Vectors Congenital Abnormality Contusions Corpus Callosum Cortex, Cerebellar Cortex, Cerebral Corticobasal Degeneration Crystallins Dura Mater Eosin Eye Abnormalities Eye Movements Frontotemporal Lobar Degeneration FUBP1 protein, human Glial Fibrillary Acidic Protein Hematoxylin Immunohistochemistry Internal Capsule Iron Males Medial Frontal Gyrus Medulla Oblongata Mesencephalon Movement Movement Disorders neurofilament protein H Neurons Nucleus, Dentate Nucleus, Lenticular Occipital Lobe Periodic Acid phloxine Pons Proteins protein TDP-43, human RNA-Binding Protein FUS Saffron Sarcoma Seahorses Speech Spinal Cord Staining Synaptophysin Temporal Lobe Thalamus Ubiquitin White Matter Woman
An ASPECTS atlas (Fig. 2) was created using the JHU_SS_MNI template20 (link), by selecting regions of interest (ROIs) from our previously published atlas21 (link)–23 (link). The ASPECTS atlas defines the 10 areas considered in the ASPECTS system: the caudate, the lentiform, the internal capsule (IC), the insula, and the cortical / subcortical regions from M1-M624 (link). This proposed ASPECTS deformable 3D atlas is publicly available in ADS13 . The visual ASPECTS rating was done by two evaluators, and finally defined by consensus with a neuroradiologist. The evaluation was done on the DWI and ADC images in MNI space, having access to the overlapped ASPECTS map. Raters used the typical clinical scoring system (1 if the given region is considered affected by the infarct, 0 if not. For the total ASPECTS, each point was subtracted from 10, which is the normal). The consensus visual ASPECTS are considered as "ground truth" scores in this study. The frequency of ASPECTS per score classes and per region is summarized in Supplementary Table 1.
Publication 2023
Cortex, Cerebral Infarction Insula of Reil Internal Capsule
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.

Publication 2023
Capsule Cells External Capsule ferric oxide Fever Gold Hydrogen Internal Capsule Iron Light Oxide, Magnesium Oxygen Permeability Platinum Powder Pressure tungsten carbide
The comprehensive protocol for data quality management is available in eMethods 1 in Supplement 1. Demographic information, including sex, age, and modified Rankin Scale Score (which measures degree of disability or dependence after a stroke) at hospital admission, was recorded. Radiographic variables describing AVM morphological characteristics, including nidus location, size, diffuseness, venous drainage (drainage patterns, stenosis, and venous aneurysms), feeding arteries (number, dilation, multiple sources, and perforating arteries), associated aneurysm, and hemorrhagic presentation, were collected. Radiological information was determined via digital subtraction angiography and MRI.
The nidus location was regarded as deep if the lesion exclusively involved the brain stem, cerebellum, basal ganglia, thalamus, corpus callosum, or insular lobe. The definition of eloquent regions (ie, sensory, motor, language, or visual cortex; hypothalamus or thalamus; internal capsule; brain stem; cerebellar peduncles [superior, middle, or inferior]; and deep cerebellar nuclei) was based on the Spetzler-Martin Grading Scale.5 (link) The size of AVMs was dichotomized into small and large based on whether the maximum nidal diameter was less than 3 cm or 3 cm or greater. Ventricular system involvement was determined via MRI based on whether the nidal border was adjacent to the cerebral ventricular system. Feeding arteries were considered dilated when their diameter was at least twice that of the same blood vessel segments. Venous aneurysm was defined as the focal aneurysmal dilation of the proximal drainage vein.18 (link) Hemorrhagic presentation was defined as hemorrhage that could be ascribed to AVM rupture before or at admission.
Publication 2023
Aneurysm Angiography, Digital Subtraction Arteries Basal Ganglia Blood Vessel Brain Stem Cerebellar Nuclei Cerebellum Cerebral Ventricles Cerebrovascular Accident Corpus Callosum Dietary Supplements Disabled Persons Drainage Hemorrhage Hypothalamus Insula of Reil Internal Capsule Stenosis Thalamus Veins Venous Engorgement Visual Cortex X-Rays, Diagnostic
Data were presented as mean with standard deviation, median with interquartile range (IQR), and percentage for continuous, ordinal, and categorical variables, respectively. To compare the baseline data between the two groups, the Student’s t-test was used for normally distributed data, as well as the Wilcoxon rank-sum test or the Kruskal–Wallis test for abnormally distributed continuous and ordinal variables, and the Pearson's χ2, the Fisher's exact test or the Cochran-Mantel–Haenszel χ2 test for categorical variables. The Cohen κ coefficient was used to measure inter-rater reliability for qualitative (categorical) items.
A binomial logistic regression model was utilized to assess the association between variables and END. The variables imported into the univariate regression analysis were obtained from characteristics with between-group differences in baseline data (P ≤ 0.1) and the probable risk factors of END that were confirmed in previous studies [age, gender, location in corona radiata, infarction in internal capsule and brainstem [4 (link), 13 (link), 14 (link)]; BAD [12 (link)]; visible layers on DWI [15 (link)]; history of diabetes [16 (link)]; blood pressure on admission [17 (link)]; leukocyte count [18 (link)]; glucose [19 (link)]; hypertriglyceridemia [20 (link)]; D-dimer and uric acid [21 (link)]; BUN/CR ratio [22 (link)] and D-dimer [23 (link)]. A multivariate logistic regression model was used to analyze possible independent factors for END and poor function outcome at 3-month after the onset using variables with P ≤ 0.1 in the univariate analysis. The corresponding estimates for ORs with 95% confidence intervals (CIs) were presented. We use area under the receiver operating characteristic (ROC) curve to evaluate the validation of the model.
Moreover, EpiData 3.0 software was used to collect data and establish the database. The statistical analysis was conducted using R 4.2.0 software. Two-sided P < 0.05 was considered statistically significant.
Publication 2023
Blood Pressure Brain Stem Diabetes Mellitus fibrin fragment D Gender Glucose Hypertriglyceridemia Infarction Internal Capsule Leukocyte Count Student Uric Acid

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More about "Internal Capsule"

The internal capsule, a crucial structure within the brain, is a bundle of white matter fibers that facilitate the transmission of sensory, motor, and cognitive information between the cerebral hemispheres and other brain regions.
This vital neural pathway connects the cerebral cortex with the midbrain, pons, and medulla oblongata, playing a pivotal role in neurological functions and disorders.
Optimizing research on the internal capsule can provide valuable insights into a wide range of neurological processes.
Researchers can leverage advanced tools and software, such as MATLAB, Stereo Investigator, Clampfit 10, and NIS-Elements AR, to investigate the structure and function of the internal capsule in greater detail.
The internal capsule is also closely associated with the somatosensory system, which is responsible for processing touch, pressure, and proprioception.
Techniques like the use of a Linear 16-channel multi-electrode array or the AB9610 system can be employed to study the neural activity and information processing within the internal capsule.
Additionally, imaging modalities like the Somatom Sensation 64 CT scanner and the Extended MR WorkSpace 2.6.3.5 can be utilized to visualize and analyze the internal capsule's anatomy and its interactions with other brain structures.
The CS-3R, a specialized instrument, can further contribute to the understanding of the internal capsule's role in neurological disorders.
By harnessing the power of AI-driven platforms like PubCompare.ai, researchers can identify the most reproducible and accurate protocols from literature, preprints, and patents, ensuring they have access to the best products and techniques for their internal capsule studies.
Experieence the power of AI-driven research optimization today and unlock the secrets of this crucial brain structure.