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11,745 results for “Disorder”

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zenodo36/100

Biomarkers of neurodegeneration in isolated and antidepressant-related REM sleep behavior disorder.

<p>Dataset relative to the manuscript "Biomarkers of neurodegeneration in isolated and antidepressant-related REM sleep behavior disorder."</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Data for "Characterizing quantum gases in time-controlled disorder realizations using cross-correlations of density distributions"

<p>Here, data sets belonging to the preprint "Characterizing quantum gases in time-controlled disorder realizations using cross-correlations of density distributions" are uploaded.</p> <p>The file contains a folder for each figure in the manuscript.</p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Evaluation of Yoga Nidra In the Treatment of Depressive Disorder

<p>Abstract<br>The purpose of this study was to find out the effect of Yoga Nidra&nbsp;<br>interventions in improving depressive disorder. This study was conducted at&nbsp;<br>the Sir Sundar Lal Hospital, BHU, Varanasi. 10 patients were kept in&nbsp;<br>experimental group undergoing Yoga Nidra and 10 patients were kept in&nbsp;<br>control group who were taking the herbal medication. Each patient of&nbsp;<br>experimental group underwent 30 minutes practice of Yoga Nidra for the&nbsp;<br>total duration of 7 days. DASS- scale was used to assess the level of&nbsp;<br>depression in patients. The result has shown significant reduction of&nbsp;<br>depression score in the both of the groups. It was important to note that<br>the reduction of depression score was relatively more in experimental group&nbsp;<br>as compared to control group. Therefore the practice of Yoga Nidra has an&nbsp;<br>edge over the medication intake in tackling the depression</p> <p>Keywords: Yoga Nidra, Depression</p>

opencc-by-4.0Dec 2019View details →
dryad36/100

Data from: Phosphorylation, disorder, and phase separation govern the behavior of Frequency in the fungal circadian clock

<p>Circadian clocks are composed of molecular oscillators that pace rhythms of gene expression to the diurnal cycle. Therein, transcriptional-translational negative feedback loops (TTFLs) generate oscillating levels of transcriptional repressor proteins that regulate their own gene expression. In the filamentous fungus Neurospora crassa, the proteins Frequency (FRQ), the FRQ-interacting RNA helicase (FRH) and Casein-Kinase I (CK1) form the FFC complex that represses expression of genes activated by the White-Collar complex (WCC). A key question concerns how FRQ orchestrates molecular interactions at the core of the clock despite containing little predicted tertiary structure. We present the reconstitution and biophysical characterization of FRQ and the FFC in unphosphorylated and highly phosphorylated states. Site-specific spin labeling and pulse-dipolar ESR spectroscopy provides domain-specific structural details on the full-length, 989-residue intrinsically disordered FRQ and the FFC. FRQ contains a compact core that associates and organizes FRH and CK1 to coordinate their roles in WCC repression. FRQ phosphorylation increases conformational flexibility and alters oligomeric state but the changes in structure and dynamics are non-uniform. Full-length FRQ undergoes liquid-liquid phase separation (LLPS) to sequester FRH and CK1 and influence CK1 enzymatic activity. Although FRQ phosphorylation favors LLPS, LLPS feeds back to reduce FRQ phosphorylation by CK1 at higher temperatures. Live imaging of Neurospora hyphae reveals FRQ foci characteristic of condensates near the nuclear periphery. Analogous clock repressor proteins in higher organisms share little position-specific sequence identity with FRQ; yet, they contain amino-acid compositions that promote LLPS. Hence, condensate formation may be a conserved feature of eukaryotic circadian clocks. </p>

opencc-zeroFeb 2024View details →
zenodo36/100

Data repository associated with 'A Functional Map of the Human Intrinsically Disordered Proteome'

<p><strong>ES_MAP.zip</strong></p> <ul> <li>a hierarchically clustered map of the human IDR-ome</li> <li>.cdt and .gtr files -&nbsp;outputs of Cluster3.0 software</li> <li>can be visualized using JavaTreeView (see Tutorial_ES.pdf)</li> </ul> <p><strong>TUTORIAL.zip</strong>, information on:</p> <ul> <li>visualization and analysis of the human IDR-ome map</li> <li>search for proteins of interest and exploratory analyses of clusters</li> <li>automatic export and analysis of exported clusters (code available at https://github.com/IPritisanac/ES_PW)</li> </ul> <p><strong>IDROME_SEQUENCES.zip</strong></p> <ul> <li>human proteome fasta file</li> <li>IDRome fasta file</li> <li>SPOT-Disorder v1.0 disorder boundaries <ul> <li>13 044 unique protein sequences with at least one IDR (&gt;=30 amino acids)</li> <li>21 252 total unique human IDRs</li> </ul> </li> </ul> <p><strong>IDR_ALN.zip</strong></p> <ul> <li>alignments of IDR sequences across ENSEMBL orthologs</li> <li>19 459 IDR alignments</li> <li>UniProt ID and IDR boundaries for the human sequence are indicated in the name of the file</li> </ul> <p><strong>FAIDR_TSTATS.zip</strong></p> <ul> <li>hierarchical clustering of FAIDR t-statistics for 148 GO terms<br> <ul> <li>.cdt, .gtr files from Cluster3.0</li> <li>can be visualized using JavaTreeView</li> <li>reveals the most predictive molecular features for the top performing 148 models</li> </ul> </li> </ul> <p><strong>CLUSTERS_EXPLORE.zip</strong></p> <ul> <li>clusters obtained through exploratory analysis of the map provided in ES_MAP.zip</li> <li>93 exported clusters in .cdt file format</li> </ul> <p><strong>CLUSTERS_AUTO.zip</strong></p> <ul> <li>clusters extracted from the hierarchically clustered IDR-ome map at a range of distance thresholds (0.4 - 0.8) in .cdt file format</li> <li>distance refers to the uncentered correlation distance between vectors of Z-scores representing human IDRs</li> <li>clusters extracted at different distance thresholds are split into separate archives</li> <li>AUTO_GO_FEATS.xlsx - summary of GO-term overrepresentation and feature enrichment analyses; each distance threshold is in a separate sheet</li> </ul> <p><strong>FAIDR_HIGH_AUC_PPV_GO.zip</strong></p> <ul> <li>target files with annotations of 148 GO terms for which good quality FAIDR models could be obtained (AUC &gt;= 0.7, PPV &gt;= 0.4)</li> <li>file format: three columns; 1st: IDR ID (includes IDR boundaries); 2nd: protein UniProt ID; 3rd: annotation of the protein to a GO term (1 if known to be associated with the GO term, 0 if not)</li> </ul> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Intrinsically disordered Prosystemin discloses biologically active repeat motifs

<p>Dataset referred to "Intrinsically disordered Prosystemin discloses biologically active repeat motifs".</p> <p>Abstract: The in-depth studies over the years on the defence barriers by tomato plants have shown that the Systemin peptide controls the response to a wealth of environmental stress agents. This multifaceted stress reaction seems to be related to the intrinsic disorder of its precursor protein, Prosystemin (ProSys). Since latest findings show that ProSys has biological functions besides Systemin sequence, here we wanted to assess if this precursor includes peptide motifs able to trigger stress-related pathways. Candidate peptides were identified in silico and synthesized to test their capacity to trigger defence responses in tomato plants against different biotic stressors. Our results demonstrated that ProSys harbours several repeat motifs which triggered plant immune reactions against pathogens and pest insects. Three of these peptides were detected by mass spectrometry in plants expressing ProSys, demonstrating their effective presence in vivo. These experimental data shed light on unrecognized functions of ProSys, mediated by multiple biologically active sequences which may partly account for the capacity of ProSys to induce defense responses to different stress agents.</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

The Role of Sacks Sentence Completion Test in a Couple with Borderline Personality Disorder and Narcissistic Personality Disorder: A Case Study

<p>&nbsp;</p> <p><span>Abstract</span></p> <p><span>Background: A voluminous amount of material has been written on individual diagnostic indicators of borderline disorder and narcissistic personality disorder from a psychopathological perspective. However, very few have explored when a narcissist and borderline personality forms a bond or a marriage link. This research aims to show that personality psychopathology is primarily interpersonal at its foundation, and it can be well reflected using Sacks sentence completion test.</span></p> <p><span>Methodology: A Case study of a couple with borderline personality disorder and narcissistic personality disorder from a psychiatric hospital OPD at Jaipur. <span>&nbsp;</span>International personality disorder examination (IPDE) DSM IV, diagnostic interview schedule and Sacks sentence completion test have been administered. The couple clinical report was qualitatively interpreted using content analysis and </span><span>phenomenological approach.</span><span> </span></p> <p><span>Results indicated that couple with borderline personality disorder and narcissistic personality disorder leads to dysfunctional adult relationship. </span></p> <p><span>Conclusion: Lack of secure base from parental figures in childhood is reflected in terms connecting with the partner. </span></p>

opencc-by-4.0Apr 2024View details →
dryad36/100

Data from: Infant microbes and metabolites point to childhood neurodevelopmental disorders

<p>This study has followed a birth cohort for over twenty years to find factors associated with neurodevelopmental disorder (ND) diagnosis. Detailed, early-life longitudinal questionnaires captured infection and antibiotic events, stress, prenatal factors, family history, and more. Biomarkers including cord serum metabolome and lipidome, HLA genotype, infant microbiota, and stool metabolome were assessed. Among the 16,440 Swedish children followed across time, 1,197 developed an ND. Significant associations emerged for future ND diagnosis in general and for specific ND subtypes, spanning intellectual disability, speech disorder, attention deficit hyperactivity disorder, and autism. This investigation revealed microbiome connections to future diagnosis, as well as early-emerging mood and gastrointestinal problems. The findings suggest links to immunodysregulation and metabolism, compounded by stress, early-life infection, and antibiotics. The convergence of infant biomarkers and risk factors in this prospective, longitudinal study on a large-scale population establishes a foundation for early-life prediction and intervention in neurodevelopment.</p>

opencc-zeroApr 2024View details →
zenodo36/100

Dataset for Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media

<h3>About the data set</h3> <p>The zipped folder contains the saved computational run data of the Matlab code packages associated with our manuscript titled "Modeling scattering matrix containing evanescent modes for wavefront shaping applications in disordered media". Two .mat data files "saved-data-Code-Package-1.mat" and "saved-data-Code-Package-2.mat" are available within the zipped folder which are associated with the Matlab code packages hosted in the <a href="https://github.com/michaelraju/Generalized-S-Matrix.git" target="_blank" rel="noopener">Github repository</a> . One may add the data files "saved-data-Code-Package-1.mat" and "saved-data-Code-Package-2.mat" to the <a href="https://github.com/michaelraju/Generalized-S-Matrix.git" target="_blank" rel="noopener">Github repository</a> code package folders "Code-Package-1" and "Code-Package-2" respectively. Loading the saved run data (by setting <em>new_run_flag=0</em> in the main.m file contained in the Github repository) helps to visualize the results presented in the paper, without actually performing a new computational run from scratch. On the other hand, setting the flag <em>new_run_flag=1</em> yields a fresh computational run, initializing a new disorder.</p> <div> <h3>Contribution</h3> </div> <p>The dataset, the associated code packages and the analytical and numerical formulations were developed by Michael Raju as part of his <a href="https://hdl.handle.net/10468/14107" target="_blank" rel="noopener">PhD thesis</a>. Baptiste Jayet and Prof. Stefan Andersson-Engels were involved in the PhD supervision.&nbsp;</p>

openmit-licenseApr 2024View details →
zenodo36/100

Brain Transcriptome Single-cell (BTS) Atlas: Anndata, Seurat Object, CellTypist model, and Disorder Risk Geneplot

<p>Brain Transcriptome Single-cell Atlas (BTS) Anndata, Seurat object, and Celltypist model for further use of the atlas. The Celltypist model can be utilized to accurately annotate cell types in new datasets based on the atlas. Plots illustrating the expression profile for 3,380 neurological disorder risk genes across the atlas are also uploaded. Further availability for the data can be requested by the corresponding author.<br><br>This dataset is published in Kim, S., Lee, J., Koh, I.G. <em>et al.</em>&nbsp;An integrative single-cell atlas for exploring the cellular and temporal specificity of genes related to neurological disorders during human brain development.&nbsp;<em>Exp Mol Med</em>&nbsp;<strong>56</strong>, 2271&ndash;2282 (2024). https://doi.org/10.1038/s12276-024-01328-6</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Direct evidence for Cooper pairing without a spectral gap in a disordered superconductor above Tc

<p>Supporting data for Bastiaans, KM et al. &ldquo;Direct evidence for Cooper pairing without a spectral gap in a disordered superconductor above Tc&rdquo;.</p> <p>&nbsp;</p> <p>The following datafiles are used for the following figures.</p> <p>&nbsp;</p> <p>Fig. 1&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;Illustration figure, no data used</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;Illustration figure, no data used</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;Illustration figure, no data used</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;D&nbsp;&nbsp; &nbsp;Illustration figure, no data used</p> <p>&nbsp;</p> <p>Fig. 2&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_noise.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_qeff.txt, simulation_qeff.m</p> <p>&nbsp;</p> <p>Fig. 3&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_noise.txt, TiN_ALD_4.0K_noise.txt, TiN_ALD_6.3K_noise.txt, TiN_ALD_7.2K_noise.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_qeff.txt, TiN_sputter_2.3K_qeff.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;TiN_ALD_4.0K_qeff.txt, TiN_sputter_4.0K_qeff.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;D&nbsp;&nbsp; &nbsp;TiN_ALD_6.3K_qeff.txt, TiN_sputter_6.3K_qeff.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;E&nbsp;&nbsp; &nbsp;TiN_ALD_7.2K_qeff.txt, TiN_sputter_7.2K_qeff.txt, simulation_qeff.m</p> <p>&nbsp;</p> <p>Fig. 4&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;TiN_ALD_didv_spectra.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_ALD_didv_spectra.txt, TiN_ALD_didv_gap_depth.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;TiN_ALD_RT.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;D&nbsp;&nbsp; &nbsp;TiN_ALD_qeff_vs_T.txt</p> <p>&nbsp;</p> <p>Fig. S1&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;Illustration figure, no data used</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_topo_small.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_topo_large.txt</p> <p>&nbsp;</p> <p>Fig. S2&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;TiN_noise_time_traces.txt</p> <p>&nbsp;</p> <p>Fig. S3&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;TiN_ALD_RT.txt</p> <p>&nbsp;</p> <p>Fig. S4&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_gapmap.txt, TiN_ALD_2.3K_gapmap_inset.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_gapmap.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;TiN_sputter_2.3K_gapmap.txt, TiN_sputter_2.3K_gapmap_inset.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;D&nbsp;&nbsp; &nbsp;TiN_sputter_2.3K_gapmap.txt</p> <p>&nbsp;</p> <p>Fig. S5&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;simulation_didv1.txt, T_broadening_fills_gap.ipynb</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;simulation_didv2.txt, T_broadening_fills_gap.ipynb</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;TiN_ALD_didv_spectra.txt, T_broadening_fills_gap.ipynb</p> <p>&nbsp;</p> <p>Fig. S6&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;TiN_sputter_2.3K_noise.txt, TiN_sputter_4.0K_noise.txt, TiN_sputter_6.3K_noise.txt, TiN_sputter_7.2K_noise.txt, simulation_qeff.m</p> <p>&nbsp;</p> <p>Fig. S7&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;TiN_sputter_didv_spectra.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_sputter_didv_gap_depth.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;TiN_sputter_RT.txt</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;D&nbsp;&nbsp; &nbsp;TiN_sputter_qeff_vs_T.txt</p> <p>&nbsp;</p> <p>Fig. S8&nbsp;&nbsp; &nbsp;A&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_noise.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;B&nbsp;&nbsp; &nbsp;TiN_ALD_2.3K_qeff.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;C&nbsp;&nbsp; &nbsp;simulation_S1.txt, simulation_qeff.m</p> <p>&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;D&nbsp;&nbsp; &nbsp;simulation_S2.txt, simulation_qeff.m</p>

opencc-by-4.0Oct 2021View details →
dryad36/100

Different patterns of white matter microstructural alterations between psychotic and non-psychotic bipolar disorder

<p><span>This study aimed to investigate alterations in white matter microstructure in </span><span>patients with</span><span> psychotic and non-psychotic bipolar disorder (PBD and NPBD, respectively). We used 3T-magnetic resonance imaging to examine 29 PBD, 23 NPBD, and 65 healthy control (HC) subjects. Using tract-based spatial statistics for diffusion tensor imaging data, we compared fractional anisotropy and mean diffusion pairwise among the PBD, NPBD, and HC groups. </span><span>W</span><span>e found several white matter areas of decreased fractional anisotropy or increased mean diffusion in the PBD and NPBD groups compared to HC. PBD showed widespread fractional anisotropy decreases in the corpus callosum as well as the bilateral internal capsule and fornix. However, NPBD showed local fractional anisotropy decreases in a part of the corpus callosum body as well as in limited regions within the left cerebral hemisphere, including the anterior and posterior corona radiata and the cingulum. In addition, both PBD and NPBD shared widespread mean diffusion increases across the posterior corona radiata, cingulum, and sagittal stratum. These findings suggest that </span><span>widespread </span><span>white matter microstructural alterations might be a common neuroanatomical characteristic of </span><span>bipolar disorder</span><span>, regardless of being psychotic or non-psychotic. Particularly, PBD might involve extensive inter-and intra-hemispheric white matter connectivity disruptions.</span></p>

opencc-zeroDec 2021View details →
dryad36/100

Remodeling dental anatomy vs sham therapy for chronic temporomandibular disorders: A placebo-controlled randomized clinical trial

<div><em>Background</em></div> <div>Evidence regarding the etiology or effective treatments for chronic orofacial pain, the majority diagnosed as temporomandibular disorder (TMD), is limited.</div> <div> </div> <div><em>Purpose</em></div> <div>To investigate whether occlusal equilibration therapy (ET) and decreasing the (higher) angle of the lateral guidance on the nonworking-side leads to a reduction in chronic TMDs intensity.</div> <div> </div> <div><em>Methods</em></div> <div>It was conducted a randomized, explanatory, single blind with blinded assessment, placebo-controlled trial with strong protection against bias involving patients with chronic TMDs. Participants were randomly assigned to receive equilibration therapy or sham therapy. ET in this study consisted of minimal invasive occlusal remodeling to obtain balanced occlusion with reduction of the steeper angle of lateral mandibular movement with respect to the Frankfort plane. The primary outcome was a change in the pain intensity score (on a 0–10 point scale, with 0 indicating no pain and 10 the worst possible pain) at month 6. Secondary outcomes include maximum unassisted mouth opening and psychological distress.</div> <div> </div> <div><em>Results</em></div> <div>A total of 77 participants underwent randomization, 39 of whom received ET and 38 sham therapy. The trial was stopped early for efficacy, according to preestablished rules when 67 participants (n = 34, n = 33, respectively) had completed the analysis. At month 6, the mean unadjusted pain intensity score was 2.1 in the ET and 3.6 in the sham therapy group (adjusted mean difference, −1.54; 95% confidence interval [CI] −0.5 to −2.6; P = 0.004; ANCOVA model). The mean increase in maximum unassisted mouth opening (main secondary outcome) was significantly higher in the real therapy group (adjusted mean difference 3.1 mm, 95% CI 0.5–5.7, p = 0.02).</div> <div> </div> <div><em>Conclusion</em></div> <div>ET significantly reduced the intensity of facial pain associated with chronic TMDs and increased maximum unassisted mouth opening, as compared with sham therapy, over the course of 6 months. There were no serious adverse events.</div>

opencc-zeroJan 2022View details →
zenodo36/100

Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations

<p>The spreadsheets of monthly data used for Figure 2 in the paper &quot; <strong>Magnetic Field Disorder May Explain Energetic Proton Diffusion through Heliosheath Plasma: Evidence from Voyager 2 Observations</strong>&quot; submitted to Geophysical Research Letters by the authors, and an explanatory text file named &quot;Readme&quot;.</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

The impact of the SARS-COV2 infection on the disorder of consciousness rehabilitation unit

<p>Disorders of consciousness include coma (cannot be aroused, eye remain closed), vegetative state&mdash;VS (can appear to be awake, but unable to purposefully interact) and minimally conscious state&mdash;MCS (minimal but definite awareness). The objective of this study is to assess the impact of the SARS-CoV-2 infection on the Disorder of Consciousness (DOC) Rehabilitation Unit.This is a retrospective, longitudinal, descriptive, observational, pilot study. We consecutively enrolled 18 patients (age range: 40&ndash;72 years, 9 females and 9 males), from three to five months after a brain injury. They were grouped into VS (n = 8) and MCS (n = 10). A confirmed case of COVID-19 was defined as a positive result on high-throughput sequencing or real-time reverse-transcription polymerase chain reaction analysis of throat swab specimens. We collected data of lung Computed Tomography (CT) and laboratory exams. DOC patients who were positive for SARS-CoV-2 were classified into severe and no severe infected group, according to the American Thoracic Society guidelines.A total of 18 hospitalized patients with (16) and without confirmed (2) SARS-CoV-2 infection were included in the analysis. After one month, a follow-up clinical evaluation reported that one patient died, one patient was transferred from Covid Unit to Emergency Unit and 3 patients were resulted negative to double swab and they returned to Rehabilitative Unit. Significant differences were reported about hypertension, cardiac disease and respiratory problems between the patients with severe infection and patients without severe infection (P&lt; 0.001). The laboratory findings, such as blood cell counts (<em>P</em> &lt; 0.001), C-reactive protein, D-dimer, potassium and vitamin D levels, seemed to be considered as useful prognostic predictors.To our knowledge, this is the first longitudinal study on a sample of chronic DOC patients affected by SARS-CoV-2. This study may offer important new clinical information on COVID-19 for management of DOC patients. Our findings showed that for the subjects with severe infection due to COVID-19, rapid clinical deterioration or worsening could be associated with clinical and laboratory findings, which could contribute to high mortality rate. During the COVID-19 epidemic period, the clinicians should consider all the reported risk factors to avoid delayed diagnosis or misdiagnosis and to prevent the infection transmission in DOC Rehabilitation Unit.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Geometrical control of disorder-induced magnetic domains in planar synthetic antiferromagnets

<p>Open data to &quot;Geometrical control of disorder-induced magnetic domains in planar synthetic antiferromagnets&quot;, published in Phys. Rev. Materials <strong>6</strong>, L033001 (2022)</p> <p>https://doi.org/10.1103/PhysRevMaterials.6.L033001</p> <p>&nbsp;</p>

opencc-by-4.0Feb 2022View details →
zenodo36/100

Raw Data for the article: Functional Gastrointestinal Disorders in Patients With Epilepsy: Reciprocal Influence and Impact on Seizure Occurrence

<p><strong>Introduction:</strong>&nbsp;The complex relationship between the microbiota-gut-brain axis (MGBA) and epilepsy has been increasingly investigated in preclinical studies. Conversely, evidence from clinical studies is still scarce. In recent years, the pivotal role of MGBA dysregulation in the pathophysiology of functional gastrointestinal disorders (FGID) has been recognized. With this background, we aimed to investigate the prevalence of FGID in patients with epilepsy (PWE) and the possible impact of bowel movement abnormalities on seizure recurrence.&nbsp;<strong>Methods:</strong>&nbsp;A total of 120 PWE and 113 age-, sex-, and BMI-matched healthy subjects (HS) were consecutively enrolled. A questionnaire to evaluate the presence of FGID (according to Rome III diagnostic criteria) was administrated to all participants. In a subgroup of drug-resistant patients, we administered an&nbsp;<em>ad-hoc</em>&nbsp;questionnaire combining Bristol stool charts and seizure diaries to evaluate seizure trends and bowel movement changes.&nbsp;<strong>Results:</strong>&nbsp;A higher prevalence of FGID in PWE (62.5%) than in HS (39.8%) was found (<em>p</em>&nbsp;&lt; 0.001). The most frequently observed disorder was constipation, which was significantly higher in PWE than in HS (43.3 vs. 21.2%,&nbsp;<em>p</em>&nbsp;&lt; 0.001), and was not associated with anti-seizure medication intake according to multivariable analysis. In drug-resistant patients, most seizures occurred during periods of altered bowel movements, especially constipation. A significant weak negative correlation between the number of days with seizures and the number of days with normal bowel movements was observed (<em>p</em>&nbsp;= 0.04). According to multivariable logistic regression analysis, FGID was significantly associated with temporal lobe epilepsy as compared with other lobar localization (<em>p</em>&nbsp;= 0.03).&nbsp;<strong>Conclusions:</strong>&nbsp;Our clinical findings shed new light on the complex relationship between epilepsy and the MGBA, suggesting a bidirectional link between bowel movement abnormalities and seizure occurrence. However, larger studies are required to better address this important topic.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

Dataset for "The visual appearances of disordered optical metasurfaces"

<p>DATASET for &quot;The visual appearances of disordered optical metasurfaces&quot; by Kevin Vynck, Romain Pacanowski, Adrian Agreda, Arthur Dufay, Xavier Granier and Philippe Lalanne</p>

opencc-by-4.0Apr 2022View details →
dryad36/100

Transcriptional networks underlying a primary ovarian insufficiency disorder in alligators naturally exposed to EDCs: Transformed read counts and supplementary materials

<p>Interactions between the endocrine system and environmental contaminants are responsible for impairing reproductive development and function. Despite the taxonomic diversity of affected species and attendant complexity inherent to natural systems, the underlying signaling pathways and cellular consequences are mostly studied in lab models. To resolve the genetic and endocrine pathways that mediate affected ovarian function in organisms exposed to endocrine disrupting contaminants in their natural environments, we assessed broad-scale transcriptional and steroidogenic responses to exogenous gonadotropin stimulation in juvenile alligators (<em>Alligator missippiensis</em>) originating from a lake with well-documented pollution (Lake Apopka, FL) and a nearby reference site (Lake Woodruff, FL). We found that individuals from Lake Apopka are charachterized by hyperandrogenism and display hyper-sensitive transcriptional responses to gonadotropin stimulation when compared to individuals from Lake Woodruff. Site-specific transcriptomic divergence appears to be driven by wholly distinct subsets of transcriptional regulators, indicating alterations to fundamental genetic pathways governing ovarian function. Consistent with broad-scale transcriptional differences, ovaries of Lake Apopka alligators displayed impediments to folliculogenesis, with larger germinal beds and decreased numbers of late-stage follicles. After resolving the ovarian transcriptome into clusters of co-expressed genes, most site-associated modules were correlated to ovarian follicule phenotypes across individuals. However, expression of two site-specific clusters were independent of ovarian cellular architecture and are hypothesized to represent alterations to cell-autonomous transcriptional programs. Collectively, our findings provide high resolution mapping of transcriptional patterns to specific reproductive function and advance our mechanistic understanding regarding impaired reproductive health in an established model of environmental endocrine disruption.</p>

opencc-zeroMay 2022View details →
zenodo36/100

Epigenetic clock estimations in patients with isolated REM Sleep Behavior Disorder

<p>Isolated REM Sleep Behavior Disorder (iRBD) is the strongest prodromal marker for conversion to &alpha;-synucleinopathies. A continuum between aging and neurodegeneration has been proposed, but this hypothesis has not been tested in iRBD so far. Here we used epigenetic clocks, estimated from DNA methylation arrays using the&nbsp;DNA Methylation Age Calculator available at https://dnamage.genetics.ucla.edu/home, to measure biological aging in videopolysomnography-confirmed iRBD patients (iRBDs, n=28), videopolysomnography-negative controls (CTR_neg; n=57), and controls from the general population (CTR_pop; n=31)<strong>.</strong></p>

opencc-by-4.0Dec 2021View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

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electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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