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153
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ShareScore release 0.9.0
Dataset results
153 results for “brain connectivity”
Functional connection between fetal brain development and longevity in mice
GEO Series GSE252079. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing.
Identification of direct connections between the dura and the brain [young + aged]
GEO Series GSE213894. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
The Pumilio1 brain-region specific interactome reveals a direct connection with multiple RNA binding proteins, suggesting two disease mechanisms
GEO Series GSE207031. Mus. 11 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Molecular mechanisms for changing brain connectivity in mice and humans (blood samples)
GEO Series GSE244394. Mus musculus. 12 samples. Type: Expression profiling by array.
Molecular mechanisms for changing brain connectivity in mice and humans
GEO Series GSE244395. Mus musculus. 24 samples. Type: Expression profiling by array.
Identification of direct connections between the dura and the brain [EAE]
GEO Series GSE213893. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Dataset for the project "Corticocortical signal transmission and brain connectivity alterations at prodromal stage and during the progression of Alzheimer's disease: A multimodal approach of TMS-EEG and advanced MRI" (GR-2016-02364132)
<p><strong>Aim 1:</strong></p> <p><u>Validation of STT as measure of WM integrity and as diagnostic marker of AD</u>. The first step to test the potential of the STT as AD marker is to establish if the SST can differentiate between patients (LOAD, aMCI) and healthy individuals and its relationship with clinical symptoms and with well-established measures of connectivity.</p> <p> <strong>Aim 2:</strong></p> <p><u>Connectivity changes, evaluated as in aim 1, as prognostic marker of disease progression</u>. Another crucial point is to establish if STT can capture brain connectivity alterations with disease progression, if they parallel WM integrity alterations and cognitive decline. Moreover, the potential contribution of STT as prognostic marker can be established by investigating which measure, or combination of measures, of brain connectivity at the baseline best predicts the conversion to AD in aMCI cases.</p> <p> <strong>Aim3:</strong></p> <p><u>Connectivity changes in EOAD patients.</u> The comparison of connectivity alterations between EOAD and LOAD at the baseline and during the disease progression will be a crucial step to establish the efficacy of STT as a marker of differential diagnosis in atypical forms of AD.</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p> </p> <p>File: <strong>Demographics_allparticipants.xlsx</strong> contains demographic and clinical data of the entire sample</p> <p>File: <strong>Hippocampal volume.xlsx</strong> data used to extract hippocampal atrophy as AD biomarker</p> <p> </p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data of HC, MCI and LOAD at T0 are organized in 3 files with TMS-Evoked Potentials (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T0 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T0</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0</p> <p> </p> <p>- Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in one file that includes TMS-Evoked Potentials of HC, MCI and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of HC, MCI and LOAD at T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of HC, MCI and LOAD at T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of HC, MCI and LOAD at T0 and T1</p> <p> </p> <p>Folder: <strong>Aim3</strong></p> <p> <strong>READ ME</strong> AIM2.txt explains folder structure</p> <p>- <strong>TMS-EEG</strong> data are organized in two files that includes TMS-Evoked Potentials of EOAD and LOAD at T0 and T1 (.mat format). The resting motor threshold (rMT) measured to set TMS intensity (.xlsx file)</p> <p>- <strong>Neuropsychological</strong> data of EOAD and LOAD at T0 and T1 (.xlsx format)</p> <p>- <strong>fMRI</strong> folder contains coordinates of the hotspot for the stimulated functional networks of EOAD and LOAD at T0 and T1</p> <p>- <strong>DTI</strong> data (.xlsx format) reports microstructural integrity data for major inter-hemispheric and intra-hemispheric tracts of EOAD and LOAD at T0 and T1</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
Brain Structural and Functional Connectivity Changes in the Period of Dysmenorrhea: a Prospective fMRI Study
ClinicalTrials.gov study NCT06178406. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Brain Connectivity as a Biomarker of Response to Transcranial Stimulation by Continuous Current in Patients With Stroke
ClinicalTrials.gov study NCT04752800. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Molecular mechanisms for changing brain connectivity in mice and humans (brain samples)
GEO Series GSE244393. Mus musculus. 12 samples. Type: Expression profiling by array.
Identification of direct connections between the dura and the brain
GEO Series GSE213895. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Neuro-Glioblastoma Connectivity: Brain-Wide Mapping and Cholinergic Modulation of Tumor Progression
GEO Series GSE300506. Homo sapiens. 21 samples. Type: Expression profiling by high throughput sequencing.
Dataset for the project "Tactile mirror system in borderline personality disorder: a multimodal approach to study brain connectivity and plasticity" (SG-2019-12370473)
<p><strong>Aim 1:</strong></p> <p>Assessment of TaMS alterations in BPD at behavioral and neurophysiological level, focusing on effective connectivity pattern by means of TMS-EEG, and its relationship with empathic abilities (Exp. 1).</p> <p><strong>Aim 2:</strong></p> <p>Assessment of plasticity mechanisms within TaMS in BPD by means of a cross-modal PAS protocol and their relationship with empathic abilities (Exp. 2).</p> <p> </p> <p><strong>The present dataset contains the following files and folders:</strong></p> <p>Folder: <strong>Aim1</strong></p> <p>- <strong>READ ME</strong> AIM1.txt explains folder structure and file content details.</p> <p>- File: <strong>SG2019_Aim1_Demographics.xlsx </strong>contains demographic data. </p> <p>- File <strong>SG2019_Aim1_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaires.</p> <p>- File:<strong> SG2019_Aim1_rMT.xlsx </strong>contains the rMT measured to set TMS intensity.</p> <p>- File <strong>SG2019_Aim1_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors).</p> <p>- Subfolder: <strong>TMS-Evoked Potentials</strong>. Data are organized in 6 files per group according to trial type (.mat format).</p> <p>- Subfolder: <strong>Event-Related Potentials</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p>- Subfolder: <strong>Time-frequency Pattern</strong>. Data are organized in 3 files per group according to trial type (.mat format).</p> <p> </p> <p>Folder: <strong>Aim2</strong></p> <p>- <strong>READ ME</strong> AIM2.txt explains folder structure and file content details.</p> <p>- File: <strong>SG2019_Aim2_Demographics.xlsx </strong>contains demographic data. </p> <p>- File <strong>SG2019_Aim2_Empathy.xlsx </strong>contains data on the empathic levels obtained by self-report questionnaire.</p> <p>- File:<strong> SG2019_Aim2_rMT.xlsx </strong>contains the rMT measured to set TMS intensity in the two experimental sessions and which session was performed first.</p> <p>- File <strong>SG2019_Aim2_VTSC.xlsx </strong>contains data on behavioral performance (RTs and number of errors) in the two experimental sessions.</p> <p> </p> <p><strong>Acronym list:</strong></p> <p><u>BPD</u>: borderline personality disorder</p> <p><u>EEG</u>: electroencephalography</p> <p><u>HC</u>: healthy controls</p> <p><u>PAS</u>: paired associative stimulation</p> <p><u>pw-BPD</u>: patients with BPD</p> <p><u>rMT</u>: resting motor threshold</p> <p><u>TaMS</u>: tactile mirror system</p> <p><u>TMS</u>: transcranial magnetic stimulation</p> <p><u>VTSC</u>: visuo-tactile spatial congruity task</p> <p> </p> <p>Restricted Access Conditions: Users must clarify how they intend to use data here uploaded and whether the research protocol has been approved by an Ethics committee. Data on unpublished results will be available, under the same restrictions, after publication.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.