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98 results for “TEMPORAL LOBE EPILEPSY”
Data and code repository for Science Advances submission: Uncovering the biological basis of control energy: structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy
<p>Data and codes related to the findings reported in the manuscript, "Uncovering the biological basis of control energy: structural and metabolic correlates of energy inefficiency in temporal lobe epilepsy", are deposited. Please refer to the notes located within each folder for further descriptions.</p>
Spontaneous Low-Voltage Fast Onset Seizures in Human Mesial Temporal Lobe Epilepsy Are Caused by Specific Inhibitory/Excitatory Imbalance
<p>Local field potential recordings during low voltage fast seizures recorded from microelectrodes in patients with medically refractory temporal lobe epilepsy</p>
Data: Focal to bilateral tonic-clonic seizures are associated with widespread network abnormality in temporal lobe epilepsy
<p>We make available all the brain network data, and metadata of 83 patients and 29 healthy controls included in our study.</p> <p>Nishant Sinha, Natalie Peternell, Gabrielle M. Schroeder, Jane de Tisi, Sjoerd B. Vos, Gavin P. Winston, John S. Duncan, Yujiang Wang, and Peter N. Taylor "<em>Focal to bilateral tonic-clonic seizures are associated with widespread network abnormality in temporal lobe epilepsy.</em>" Epilepsia 2021 <em>doi:10.1111/epi.16819</em>.</p> <p>Methodological details on MRI acquisition and data processing are provided in our manuscript. We request users to kindly cite our article and data appropriately.</p>
Dataset to 'Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy '
<p>Dataset to 'Altered correlation of concurrently recorded EEG-fMRI connectomes in temporal lobe epilepsy '</p> <div> <div>For the linked publication see: <a href="https://doi.org/10.1162/netn_a_00362" target="_blank" rel="noopener">https://doi.org/10.1162/netn_a_00362</a></div> <div> </div> </div> <p><em>eeg-fmri_$dataset$_$group$_connectomes_desikan_scrubbed.mat</em><br>datasets with filename truncTo5min hold static connectivities based on timeseries truncated<br>to 5min. All other datasets are based on static connectivities derived from the total session<br>timeseries.</p> <p><br>subj: subject<br>subj.name: name of the subject<br>subj.sess: session<br>subj.sess.sess_name: name of the session<br>subj.sess.fMRI: vector of upper triangular of fMRI connectivity<br>subj.sess.EEG: EEG connectomes<br>subj.sess.EEG.name: name of connectivity measure used (corrected imaginary part of the coherency: iCoh)<br>subj.sess.EEG.bands: EEG frequency bands<br>subj.sess.EEG.bands.name: name of frequency band (delta, theta, alpha, beta, gamma)<br>subj.sess.EEG.bands.name.conn: vector of upper triangular of EEG connectivity<br>subj.atlas: Atlas<br>subj.atlas.name: name of atlas used (Desikan)<br>subj.atlas.regions: number of regions</p> <p><em>$dataset$_$group$_</em>particpants.tsv: Subject metadata</p> <p><em>$dataset$_$group$_spikes.mat: Interictal epileptoform discharges (IEDs) marked for each session of TLE patients</em></p> <p><em>aparc_aseg_yeoR7_68reg_eeg_nosubc_cmfg2dan.mat: mapping of Desikan regions to Yeo7-networks (Yeo et al. 2011, JNP)</em></p> <p><em>desi_coord_68.txt: MNI coordinates of region centers of the Desikan atlas<br></em></p> <p><em>For the related code to this dataset please clone: </em>https://github.com/jwirsich/eeg-fmri-tle or use the code provided in 'eeg-fmri-tle-code.zip'</p>
Low Frequency Electrical Stimulation of the Fornix in Intractable Mesial Temporal Lobe Epilepsy (MTLE)
ClinicalTrials.gov study NCT02383407. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Abundant γ-amino butyric acidergic synaptic boutons per granule cell in sclerotic hippocampi of sea lions with temporal lobe epilepsy
Open the record for dataset details and reuse information.
Simulation results and lambda value data for structural connectome based simulations of temporal lobe epilepsy surgery.
<p>This data file contains a number of matlab matrices holding the results of simulations carried out using structural connectome data from healthy individuals and individuals with a diagnosis of temporal lobe epilepsy (TLE). The results are in the form of either time values, representing the time at which brain regions in the simulations 'escaped' into a seizure state, or corresponding node labels which represent the region that escaped at that time. Simulations were stopped after the first three nodes escaped, and then repeated over 100 iterations. There were 39 controls and 22 left TLE patients. Simulations were also carried out for altered structural connectomes simulating surgery influence on the time taken for nodes to escape. Clinical resection (clinres), subject-specific resections (subspecres) or random resections (ranres). 'Lmdas' shows the deviation from the control average of surface areas for each region in each subject, normalised to lie between 0 and 1. 'Names' is a cell array containing the node labels for the 82 regions.</p>
Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity
<p><strong>Dataset for the publication: 'Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity '</strong><br><strong>Rigoni et al. 2023, Neurobiology of Disease, doi: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.nbd.2023.106382" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.nbd.2023.106382</span></a></strong></p> <p><strong>Dataset description</strong></p> <p><em>Data\data2publish\sub- </em>: 50 epochs of raw epicranial EEG data (31 x 8001 x 50, channels x time x n_epochs,<em> </em>Fs=4k Hz). The epochs are available for 29 mice, on different sessions (ses-d0, ses-d28, ses-d29) depending on the animal </p> <p><em>Data\data2publish\EA_info.xlsx</em>: number of epileptiform activities automatically detected for each animal at d28 and d29</p> <p><em>Data\data2publish\derivatives\eeg_preprocessing: </em>results of the script A_EEG_preprocessing.m, for each animal and session</p> <p><em>Data\data2publish\derivatives\elec_layout: </em>different layouts used to plot results. Mouse_layout_modif is the one used in Fig 4</p> <p><em>Data\data2publish\derivatives\network_metrics</em>_<em>wpli: </em>results of network analyses (script C_network_analyses.m)</p> <p><em>Data\data2publish\derivatives\wpli</em>: connectivity matrices (30 x 30) obtained with the script B_connectivity_wpli.m for each animal, in each session, for each frequency band wit</p> <p><strong>Code for analyses available here: </strong> <a href="https://github.com/IsottaR/ir_mice_project_Zenodo">https://github.com/IsottaR/ir_mice_project_Zenodo </a></p> <p>Abbreviations:</p> <p>EEG= electroencephalography</p>
Dataset related to article CXCL1-CXCR1/2 signaling is induced in human temporal lobe epilepsy and contributes to seizures in a murine model of acquired epilepsy
<p>Raw data are organized in an excel file where for each figure (included supll. figures) data are listed in a different sheet.</p>
Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study
<p><strong>Dataset for the publication: 'Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: a graph signal processing study'<br> Rigoni et al. 2023, Clinical Neurophysiology, doi: </strong><a href="https://doi.org/10.1016/j.clinph.2023.05.012">https://doi.org/10.1016/j.clinph.2023.05.012</a></p> <p><strong>Dataset description</strong></p> <p><em>func_data.mat</em> : source-reconstructed EEG traces stored in a Fieldtrip format (data for each subj)</p> <p><em>struct_data</em>: consensus structural connectome</p> <p><em>ROIpatch </em>: mesh used to plot Fig4</p> <p><em>SC_surrogates (W0)</em>: 1000 degree-preserving surrogates of the structural connectome computed with the null_model_und_sign function of the Brani Connectivity Toolbox; W0 are used for broadcasting analyses, section 2.6.2</p> <p><em>SC_surrogates_harmonics (U0)</em> : network harmonics of the surrogate structural connectomes (W0); U0 are used for broadcasting analyses, section 2.6.2<br> <em>BD_surr </em>: Broadcasting-direction (BD) of the degree-preserving surrogates of the structural connectome W0; used to produce FigS3 (data for each subj)</p> <p><em>PHI </em>: matrix of +1/-1 to generate the functional surrogates used to define significance of SDI, as described in section 2.6.3</p> <p><em>data_GSP2_surr </em>: SDI of the functional surrogates used to define significance of SDI, as described in section 2.6.3 (data for each subj)</p> <p> </p> <p>Abbreviations:</p> <p>EEG= electroencephalography;</p> <p>SDI= structure-decoupling index</p>
Transcranial Electrical Stimulation Targeting the Cerebellum for the Treatment of Refractory Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT06558890. IPD Sharing: NO. Countries: 1. Publications: 15.
Minimally Invasive Surgical Epilepsy Trial for Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT05019404. IPD Sharing: NO. Countries: 1. Publications: 16.
Autologous Bone Marrow Stem Cells Transplantation in Patients With Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT00916266. IPD Sharing: Not stated. Countries: 1. Publications: 5.
CBT Versus Selective Serotonin Reuptake Inhibitor For Treatment Of Depression In Temporal Lobe Epilepsy Patients
ClinicalTrials.gov study NCT02262156. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of NRTX-1001 Neural Cell Therapy in Drug-Resistant Unilateral Mesial Temporal Lobe Epilepsy (EPIC (EPIlepsy Cell Therapy))
ClinicalTrials.gov study NCT05135091. IPD Sharing: NO. Countries: 1. Publications: 1.
Study of [11C]DPA-713 for Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT01793532. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Autonomic Dysfunction in Temporal Lobe Epilepsy and SUDEP
ClinicalTrials.gov study NCT06269822. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Stimulation of the Thalamus for Arousal Restoral in Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT04897776. IPD Sharing: NO. Countries: 1. Publications: 5.
Effects of tDCS on Depressive Symptoms of Participants With Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT03871842. IPD Sharing: NO. Countries: 1. Publications: 1.
Advanced Magnetic Resonance Imaging in Temporal Lobe Epilepsy
ClinicalTrials.gov study NCT03643471. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.