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Additional file 4:.

Additional file 3. Statistical analysis and graph generation. Code used for statistical analysis and generation of graphs.

Quantification of initial species richness with 454 pyrosequencing in the removal experiment.

F-TRACT atlas release - December 2021 ====================================== The F-TRACT atlas is provided as .csv (comma-separated values) files that can be read in any table editor. In addition, we provide a Matlab routine allowing to read the features of the atlas as Matlab variables. The atlas is provided for free use for research use only, with limited accuracy, which hopefully will improve with subsequent releases. Please cite David et al. (2013) Probabilistic functional tractography of the human cortex, NeuroImage, and Trebaul et al. (2018) Probabilistic functional tractography of the human cortex revisited, NeuroImage, Lemarechal et al. (2022) A brain atlas of axonal and synaptic delays based on modelling of cortico-cortical evoked potentials, Brain, when using the F-TRACT atlas. - f-tract_v2112 : Connectivity probability as well as features describing fibers biophysical properties, estimated from CCEP data recorded in 780 patients, in the AAL, AICHA, Brodmann, Freesurfer, Hammers, HCP-MMP1, Lausanne2008 (resolutions 33, 60, 125, 250, 500) and MarsAtlas parcellation schemes. The CCEP features are: peak and onset latency (LatStart), amplitude, duration, integral, velocity estimated from the onset latency and the fibers distance between the parcels and axonal conduction delays. Synaptic excitatory and inhibitory delays are also provided for each parcel. All features have been estimated separately for patients younger than 15 y.o. (group "0-15") and patients older than 15 y.o. (group "15-100"). - Features maps : Images representing the connectivity probability and response features for all the regions in the Lausanne2008-60 parcellation.

Kawamichi H*, Sugawara SK, Hamano YH, Kitada R, Nakagawa E, Kochiyama T, Sadato N (2018) Neural correlates underlying change in state self-esteem Sci Rep, 8, 1798

Additional file 4. Table S4: Molecular subtype-specific DEGSs, the enrichment with SFARI ASD genes, and the association with clinical scores.

The aim of this work is to study the 3D organization of some population of interneurons within a sample of interest, previously analyzed for physiological information, using two photon fluorescence microscopy (TPFM). We exploit the high axial and radial resolution of TPFM optical sectioning (0.44 x 0.44 x 2 μm³) in combination with a protocol for tissue clearing and labeling to perform the 3D reconstruction of 300 um thick brain sections. We clear the sections with the SWITCH/TDE clearing method and label the samples with three antibodies to co-stain three different populations of inhibitory interneurons: PV (Parvalbumin), SST(Somatostatin), and VIP (Vaso Intestinal Peptide). A previous data version of “Molecular characterization of the interneurons in human temporal neocortex by two photon fluorescence microscopy” can be found here: Costantini et al. (2020) [Data set, v1.0] [DOI: 10.25493/V9GW-4JG]( https://doi.org/10.25493%2FV9GW-4JG)

Collection of circRNAs can serve as potential diagnostic biomarkers. (XLSX 110Â kb)

Excel spreadsheet summarizing all data gathered in this study