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opencc-by-4.0Jan 2020View details →

An integrative cognitive rehabilitation using neurologic music therapy in multiple sclerosis

Multiple sclerosis (MS) is a demyelinating disease, affecting both the sensorimotor and cognitive systems. The typical pattern of cognitive impairment includes reduced speed of information processing, decreased phonological and semantic speech fluency, deficits in verbal and visual episodic memory, as well as attention and executive dysfunctions. We aimed to investigate the influence of the neurologic music therapy (NMT) on mood, motivation, emotion status, and cognitive functions in patients with MS. Methods: Thirty patients with MS were randomly divided in 2 groups: the control group (CG) undergoing conventional cognitive rehabilitation (CCR), 6 times a week for 8 weeks, and the experimental group (EG) undergoing CCR 3 times a week for 8 weeks plus NMT techniques, performed 3 times a week for 8 weeks. All the participants were submitted to the same amount of treatment. Each patient was evaluated before (baseline: T0) and immediately after the end of each training (T1). Main outcomes measures: We used as main outcome measure: the brief repeatable battery of neuropsychological test to assess various cognitive abilities; and the multiple sclerosis quality of life-54 (MSQoL-54). Results: Both the groups benefit from 8 weeks of CR. In particular, the EG got better results in cognitive function, with regard to selective reminding test long term storage (P < .000), long term retrieval (P = .007), and delayed recall of the 10/36 spatial recall test (P = .001), as compared with the CG. Moreover, the improvement in emotional status, motivation, mood and quality of life (with regard to the mental component; P < .000) was more evident in the EG. Conclusions: NMT could be considered a complementary approach to enhance CCR in patients affected by MS.

opencc-by-4.0May 2023View details →

Dataset to: Isradipine therapy in Cacna1dIle772Met/+ mice with PASNA syndrome (primary aldosteronism, seizures and neurologic abnormalities)

Dataset to: Isradipine therapy in Cacna1dIle772Met/+ mice with PASNA syndrome (primary aldosteronism, seizures and neurologic abnormalities)

opencc-by-4.0Dec 2022View details →

Data for dissertation titled 'Topic modelling for the stratification of neurological patients'

The uploaded zip-file entails the data needed for and obtained through the dissertation titled 'Topic modelling for the stratification of neurological patients' as part of the programme 'MSc. in Statistical Data Analysis' at Ghent University. The study aimed at exploring the applicability of hierarchical stochastic block models on resting-state functional magnetic resonance imaging (RS-fMRI) to cluster participants with known neurological disorders. The data is structured in different folders and aligns with the folder structure of the GitHub-repository that contains the analysis scripts (https://github.com/wvechelp/hsbm_on_fmri). The GitHub-repository already covers some example data, while additional data and results can be found in this zip-file. Additional comments on the analyses are also provided in the analysis scripts. The original raw data is obtained through the OpenFMRI project (<a href="http://openfmri.org/">http://openfmri.org/</a>, with label ds000030) and as a Stanford Digital Repository (<a href="https://purl.stanford.edu/mg599hw5271">https://purl.stanford.edu/mg599hw5271</a>) (Bilder et al., 2016). It is obtained from the NIH Roadmap Initiative, as a result of the Consortium for Neuropsychiatric Phenomics (CNP) study (Poldrack et al., 2016). Throughout the study, data was collected through interviews and rating scales, self-report measures, neurocognitive exams (using both paper-pencil and computerised tests), and a variety of neuroimaging data. More specific information on the selection procedure of the participants can be found in the description of the data (Bilder et al., 2016) and the associated article (Poldrack et al., 2016). Among the available neuroimaging data, the RS-fMRI data have been collected by asking participants to remain relaxed, while keeping their eyes open (with scans lasting 304 s and an image being collected every 2 seconds (Poldrack et al., 2016)). This raw data was pre-processed by Rasero et al. (2019) to correct for motion and temporal alignment. Smoothing (6-mm full width at half-maximum Gaussian kernel), intensity normalisation, and a band-pass filter (between 0.01 and 0.08 Hz) were applied prior to the removal of linear and quadratic trends. Motion time courses, average CSF signal, and the average white matter signal were regressed out prior to data transformation into voxels with a volume of 3 mm x 3 mm x 3 mm. Ultimately, the functional atlas of Shen et al. (2013) was used to average the voxel signals per anatomical region of interest (ROI), resulting in a parcellation of 278 ROIs (and associated time series consisting of 152 measurements). From these ROI-specific time series, Rasero et al. (2019) generated 278 x 278 matrices with Pearson coefficients. References: Bilder, R. M., Poldrack, R. A., Cannon, T., London, E., Freimer, N., Congdon, E., Karlsgodt, K., & Sabb, F. W. (2016). UCLA Consortium for Neuropsychiatric Phenomics LA5c Study Stanford Digital Repository. <a href="http://purl.stanford.edu/mg599hw5271">http://purl.stanford.edu/mg599hw5271</a> and <a href="https://openfmri.org/dataset/ds000030/">https://openfmri.org/dataset/ds000030/</a> Poldrack, R. A., Congdon, E., Triplett, W., Gorgolewski, K. J., Karlsgodt, K. H., Mumford, J. A., Sabb, F. W., Freimer, N. B., London, E. D., Cannon, T. D., & Bilder, R. M. (2016). A phenome-wide examination of neural and cognitive function. Scientific Data, 3(1), 160110. <a href="https://doi.org/10.1038/sdata.2016.110">https://doi.org/10.1038/sdata.2016.110</a> Rasero, J., Diez, I., Cortes, J. M., Marinazzo, D., & Stramaglia, S. A.-O. (2019). Connectome sorting by consensus clustering increases separability in group neuroimaging studies. Network Neuroscience, 3(2), 325-343. <a href="https://doi.org/https:/doi.org/10.1162/netn_a_00074">https://doi.org/https://doi.org/10.1162/netn_a_00074</a> Shen, X., Tokoglu, F., Papademetris, X., & Constable, R. T. (2013). Groupwise whole-brain parcellation from resting-state fMRI data for network node identification. NeuroImage, 82, 403-415. <a href="https://doi.org/https:/doi.org/10.1016/j.neuroimage.2013.05.081">https://doi.org/https://doi.org/10.1016/j.neuroimage.2013.05.081</a>

Fig. 6 in Astragalus species: Phytochemistry, biological actions and molecular mechanisms underlying their potential neuroprotective effects on neurological diseases

Fig. 6. The antiapoptotic effect of saponins in neurological diseases. They activate the PI3K/Akt survival pathway, promote the phosphorylationdependent inactivation of Bad, which leads to a decrease in caspasedependent neuronal apoptosis. Also, they maintain mitochondria integrity through modulation of p38 and mitogen-activated protein kinase (MEK) signalling pathways, which reduces the cytochrome c release and inhibits caspasedependent apoptosis (Wu et al., 2015).

Fig. 1 in Astragalus species: Phytochemistry, biological actions and molecular mechanisms underlying their potential neuroprotective effects on neurological diseases

Fig. 1. Chemical structures of the major constituents of triterpenoid saponins identified in Astragalus radix extract (Chu et al., 2010).

Fig. 5 in Astragalus species: Phytochemistry, biological actions and molecular mechanisms underlying their potential neuroprotective effects on neurological diseases

Fig. 5. Pathways through which Astragalus polysaccharides (APS) mediates anti-inflammatory effect (Zheng et al., 2020).

Fig. 3 in Astragalus species: Phytochemistry, biological actions and molecular mechanisms underlying their potential neuroprotective effects on neurological diseases

Fig. 3. Astragalus membranaceus: (A) Aerial parts, (B) Roots, (C) Root extract (Cited at https://www.cambridge.org).

Neurological Complications Comparing Endoscopically vs. Open Harvest of the Radial Artery

ClinicalTrials.gov study NCT01848886. IPD Sharing: Not stated. Countries: 1. Publications: 3.

Outcome pRognostication of Acute Brain Injury With the NeuroloGical Pupil indEx

ClinicalTrials.gov study NCT04490005. IPD Sharing: NO. Countries: 8. Publications: 25.

EPI-743 in Cobalamin C Defect: Effects on Visual and Neurological Impairment

ClinicalTrials.gov study NCT01793090. IPD Sharing: Not stated. Countries: 1. Publications: 7.

Olfactory Deficits in Neurologic Disease

ClinicalTrials.gov study NCT05019014. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

The Effectiveness of Robotic Gait Training in Children With Neurological Impairment

ClinicalTrials.gov study NCT03828110. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Cohort of Patients With Covid-19 Presenting Neurological or Psychiatric Disorders (CoCo-Neurosciences)

ClinicalTrials.gov study NCT04362930. IPD Sharing: NO. Countries: 1. Publications: 1.

The NEUROlogically-impaired Extubation Timing Trial (NEURO-ETT)

ClinicalTrials.gov study NCT04291235. IPD Sharing: NO. Countries: 1. Publications: 1.

The Music Activity INTervention for Adherence Improvement Through Neurological Entrainment - II

ClinicalTrials.gov study NCT02946060. IPD Sharing: NO. Countries: 1. Publications: 16.

A Study of Dementia and Neurological Problems in HIV Infected Patients Who Are Participating in ACTG A5175

ClinicalTrials.gov study NCT00096824. IPD Sharing: Not stated. Countries: 5. Publications: 9.

Plasma Neutrophil Gelatinase-associated Lipocalin (NGAL) as Early Biomarker for Renal Dysfunction and Good Neurologic Outcome in Out of Hospital Cardiac Arrest Patients

ClinicalTrials.gov study NCT01987466. IPD Sharing: Not stated. Countries: 1. Publications: 1.

Prediction of Delayed Cognitive Impairment in Cardiac Arrest Survivors With Good Neurological Outcomes

ClinicalTrials.gov study NCT05830422. IPD Sharing: NO. Countries: 1. Publications: 4.

High Intensity Functional Training for Individuals With Neurologic Diagnoses and Their Care Partners

ClinicalTrials.gov study NCT05951985. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

Embodied Virtual Reality Therapy for Functional Neurological Symptom/ Conversion Disorder

ClinicalTrials.gov study NCT02764476. IPD Sharing: NO. Countries: 1. Publications: 1.