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6 results for “stereotypy”
Supplementary data to accompany Information flow, cell types and stereotypy in a full olfactory connectome
<p>Supplemental file 1</p> <p>Layers assigned by the probabilistic graph traversal model. bodyId refers to neurons’ unique ID in ne- uPrint. layer mean contains the mean layer after 10,000 iterations of the main model (Figure 2). layer - olf mean and layer th mean contain the mean layers from running the traversal model with ORNs and THN/HRNs, respectively (Figure S2).</p> <p>S1 hemibrain neuron layers.csv</p> <p>Supplemental file 2</p> <p>Sensory meta-information related to each glomerulus. Columns: glomerulus (canonical name for one of the 51 olfactory + 7 thermo/hygrosensory antennal lobe glomeruli), laterality (whether the glomerulus receives bilateral or only unilateral innervation from ALRNs), expected cit (a citation that describes the expected number of RNs in this glomerulus), expected RN female 1h (number of expected RNs in one hemi- sphere), expected RN female SD (standard deviation in the expected number of RNs), missing (qualitative assessment of glomeruli truncation), RN frag (if the RNs in that glomerulus are fragmented), receptor (the OR or IR expressed by cognate ALRNs (Bates et al., 2020; Task et al., 2020)), odour scenes (the general ‘odour scene(s)’ which this glomerulus may help signal (Mansourian and Stensmyr, 2015; Bates et al., 2020)), key ligand(the ligand that excites the cognate ALLRN or receptor the most, based on pooled data from multiple studies (Mu ̈nch and Galizia, 2016)), valence (the presumed valence of this odour chan- nel (Badel et al., 2016)). Exists as hemibrain glomeruli summary in our R package hemibrainr.</p> <p>S2 hemibrain olfactory information.csv</p> <p>Supplemental file 3</p> <p>File listing all identified antennal lobe receptor neurons (ALRNs) in the hemibrain, including information shown in neuPrint. See above for column explanations. Exists as rn.info in our R package hemibrainr.</p> <p>S3 hemibrain ALRN meta.csv</p> <p>Supplemental file 4</p> <p>All the hemibrain neurons we have classed as antennal lobe local neurons (ALLNs). See above for column explanations. Exists as alln.info in our R package hemibrainr.</p> <p>S4 hemibrain ALLN meta.csv</p> <p>Supplemental file 5</p> <p>All the hemibrain neurons we have classed as antennal lobe projection neurons (ALPNs). See above for column explanations. In addition, across dataset cluster refers to the clustering with left and right FAFB PNs; is canonical indicates whether that ALPN is one of the well studied “canonical” uPNs. Exists as pn.info in our R package hemibrainr.</p> <p>40</p> <p>S5 hemibrain ALPN meta.csv</p> <p>Supplemental file 6</p> <p>All the hemibrain neurons we have classed as third-order olfactory neurons (TOONs) including lateral horn neurons (LHNs), as well as wedge projection neurons (WEDPNs), lateral horn centrifugal neurons (LHCENT) and other projection neuron classes (Figure 1). See above for column explanations. Exists as ton.info in our R package hemibrainr.</p> <p>S6 hemibrain TOON meta.csv</p> <p>Supplemental file 7</p> <p>All the hemibrain neurons we have classed as neurons that descend to the ventral nervous system (DNs). See above for column explanations. Exists as dn.info in our R package hemibrainr.</p> <p>S8 hemibrain DN meta.csv</p> <p>Supplemental file 8</p> <p>The root point in hemibrain voxel space, for each hemibrain neuron. This is either the location of the soma, or the tip of a severed cell body fibre tract, where possible. Exists as hemibrain somas in our R package hemibrainr.</p> <p>S8 hemibrain root points.csv</p> <p>Supplemental file 9</p> <p>The start points for different neuron compartments. Nodes downstream of this position in the 3D structure of the neuron indicated with bodyid, belong to the compartment type designated by Label. A product of running flow centrality on hemibrain neurons, exists as hemibrain splitpoints in our R package hemi- brainr.</p> <p>S9 hemibrain compartment startpoints.csv</p> <p>Supplemental file 10</p> <p>3D triangle mesh for the hemibrain surface as a .obj file. This mesh was generated by first merging individual ROI meshes from neuPrint and then filling the gaps in between in a semi-manual process. It also exists as hemibrain.surf in our R package hemibrainr.</p> <p>S10 hemibrain raw.obj</p> <p>Supplemental file 11</p> <p>3D meshes of 51 olfactory + 7 thermo/hygrosensory antennal lobe glomeruli for the hemibrain volume, generated from ALRN presynapses.</p> <p>41</p> <p>Note that hemibrain coordinate system has the anterior-posterior axis aligned with the Y axis (rather than the Z axis, which is more commonly observed).</p> <p>S11 hemibrain AL glomeruli meshes RN-based.zip</p> <p>Supplemental file 12</p> <p>3D meshes of 51 olfactory + 7 thermo/hygrosensory antennal lobe glomeruli for the hemibrain volume, generated from ALPN presynapses.</p> <p>Note that hemibrain coordinate system has the anterior-posterior axis aligned with the Y axis (rather than the Z axis, which is more commonly observed).</p> <p>These meshes are also available as hemibrain al.surf in our R package hemibrainr. S12 hemibrain AL glomeruli meshes PN-based.zip</p>
Whole human-brain mapping of single cortical neurons for profiling morphological diversity and stereotypy
<p>Quantifying neuron morphology and distribution at the whole brain scale is essential to understand the structure and diversity of cell types. It is exceedingly challenging to reuse recent technologies of single cell labeling and whole brain imaging to study human brains. We propose Adaptive Cell Tomography (ACTomography), a low-cost, high-throughput, high-efficacy tomography approach, based on adaptive targeting of individual cells. We established a platform to inject dyes into cortical neurons in surgical tissues of 18 patients with brain tumors or other conditions and 1 donated fresh postmortem brain. We collected 3-D images of 1746 cortical neurons, of which 852 neurons were reconstructed to quantify local dendritic morphology, and mapped to standard atlases. In our data, human neurons are more diverse across brain regions than by subject age or gender. The strong stereotypy within cohorts of brain regions allows generating a statistical tensor-field of neuron morphology to characterize anatomical modularity of a human brain.</p>
Cerebral Activity Related to Primary Motor Stereotypies in Children: An EEG Study.
ClinicalTrials.gov study NCT01037361. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Whole human-brain mapping of single cortical neurons for profiling morphological diversity and stereotypy
Open the record for dataset details and reuse information.
Using Mobile Technology to Reduce Stereotypy
ClinicalTrials.gov study NCT02124720. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Use of Functional Behavioral Assessments to Evaluate Stereotypy and Repetitive Behaviors in a Double-blind, Placebo Controlled Trials of Various Medications Used to Treat Children With Autism.
ClinicalTrials.gov study NCT00211770. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
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