Internal Capsule
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»
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
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 (
et al., 2005
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 (
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.
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.
Most recents protocols related to «Internal Capsule»
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.
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.
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
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.
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More about "Internal Capsule"
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.