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Supplemental material, sj-jpg-1-jcb-10.1177_0271678X221119855 for Effects of increased intracranial pressure on cerebrospinal fluid influx, cerebral vascular hemodynamic indexes, and cerebrospinal fluid lymphatic efflux by Tangtang Xiang, Dongyi Feng, Xinjie Zhang, Yupeng Chen, Hanhua Wang, Xuanhui Liu, Zhitao Gong, Jiangyuan Yuan, Mingqi Liu, Zhuang Sha, Chuanxiang Lv, Weiwei Jiang, Meng Nie, Yibing Fan, Di Wu, Shiying Dong, Jiancheng Feng, Eugene D Ponomarev, Jianning Zhang and Rongcai Jiang in Journal of Cerebral Blood Flow & Metabolism

Additional file 1: Figure S1. Heatmap of unsupervised cluster analysis using the 5000 most variable probes.

Specific eGFP expression of astroglial cells in Aldh1l1-EGFP mice. Confocal micrographs showing astrocytic eGFP expression in Aldh1l1-EGFP mice that was confirmed using GFAP immunostaining (A–C). Fluorescent micrographs showing lack of eGFP expression in microglia/macrophages (Iba1, D&E), oligodendrocytes (MBP, F) and neuronal (MAP2, G) populations in Aldh1l1-EGFP mice. Scale bars (A, F&G): 50 μm, (B&C): 10 μm, (D): 30 μm, (E): 15 μm. Representative flow cytometry analysis dot plot displaying control (H) and eGFP-expressing astrocytic profiles from un-injured (I) as well as after injury (J). Surrounded areas, designed as “P4”, correspond to the eGFP-expressing astrocytes. The X-axis represents fluorescent intensity and the Y axis cell size. RNA quality isolated from FACSed astrocytes (K). (TIF 20779 kb)

These are author versions of the figures of the article "Functional coactivation map of the human brain", https://doi.org/10.1093/cercor/bhn014 Fig. 1 (fig1v2.tif) Characterization of the experiments used in the coactivation map. Distribution of the different cognitive domains represented by the experiments after the BrainMap classification (A). Histogram of the number of locations per experiment (B). Experiments reported on average 8 locations, and a decreasing number of experiments reported large numbers of locations. Fig. 2 (fig2v2.tif) Reproducibility of the coactivation map. Pairs of partial coactivation maps computed from disjoint random subsets of the total database of experiments were progressively more similar as the number of experiments increased. The plot shows the distribution of the correlation coefficient for 20 pairs of partial coactivation maps computed from independent sets of 500, 700, 900, 1100, 1300, 1500, and 1700 experiments. Fig. 3 (fig-symm.tif) Symmetric interhemispheric coactivations. Coactivations of regions in the left hemisphere included most of the time the symmetric region in the right hemisphere, and vice versa. The figure shows 3-dimensional reconstructions (A, B) and stereotaxic slices of 4 networks corresponding to 4 seed-voxels in the axial plane z = 28 (C), and 4 networks in the coronal plane y = −6 (D). The network clusters are isosurfaces for P = 0.01, and the location of the seed-voxels is indicated by white squares in the stereotaxic slices. Fig. 4 (fig-ipsl.tif) Fronto-parietal “attention” network. Three-dimensional reconstruction and axial (z = 48) and para-sagittal (x = 30) stereotaxic slices of the network recovered with a seed-voxel at the left intraparietal sulcus (IPS, x = −26, y = −58, z = 48). It includes the supplementary motor area (SMA) and preSMA, left and right anterior insula (aIns), frontal eye fields (FEF), dorsolateral prefrontal cortex (DLPFC), inferior precentral sulcus (iPCS), ventral occipital cortex (vOC), inferior parietal lobule (iPL), and the ventral IPS (vIPS). The network clusters are isosurfaces for P = 0.01, and the location of the seed-voxel is indicated in the axial slice by a white square. Fig. 5 (fig-acc.tif) Cingulo-parietal “resting state” network. Three-dimensional reconstructions and sagittal stereotaxic slice (x = −2) of the network recovered with a seed-voxel at the anterior cingulate cortex (aCC, x = −2, y = 46, z = −4). It includes the posterior cingulate cortex (pCC), nucleus accumbens (NA), lateral parietal cortex (LPC), inferior temporal cortex (iTC), and the superior frontal cortex (SFC). The network clusters are isosurfaces for P = 0.01 (strong red), and P = 0.5 (in transparency). The location of the seed-voxel is indicated by a white square in the sagittal slice. Fig. 6 (fig-motor.tif) Cortico-diencephalo-cerebellar “motor” network. Three-dimensional reconstructions and coronal (y = −26) and para-sagittal (x = −34) stereotaxic slices of the network recovered with a seed-voxel at the dorsal part of the left central sulcus (CS, x = −34, y = −26, z = 60). The network includes the right central sulcus, caudal cingulate motor area (CMA), ipsilateral putamen (Pu), thalamus (Th), and left cerebellum (Cb-L), and the contralateral anterior lobe of the cerebellum (aCb). The network clusters are isosurfaces for P = 0.01, and the seed-voxel is indicated by white squares in the coronal and sagittal slices.

Additional Figure 4. MRI (top), FDG PET (middle), tau PET (bottom) comparisons between young CN and EOnonAD and old CN and LOnonAD groups. The significance maps show p

Additional file 3: Figure S3. Randomise reproducibility test of DTI and NODDI metrics. Voxel-by-voxel statistical analysis results of Diffusion Tensor Imaging (FA = Fractional Anisotropy, MD = Mean Diffusivity, Dp = Parallel Diffusivity, Dr = Radial Diffusivity) and Neurite Orientation Dispersion and Density Imaging metrics (NDI = Neurite Density Index, ODI = Orientation Dispersion Index) and Tensor-based Morphometry with Jacobian Index (JI) reproducibility test. Statistical map thresholded at P value < 0.05 (two-tailed), unpaired two sample t-test, implemented as permutation tested for the General Linear Model, corrected for multiple comparisons with mass-based FSL’s Threshold-free Cluster enhancement (TFCE). Statistical maps were overlaid on the averaged and registered DTI and NODDI metrics maps corresponding to the statistical maps (DTI and NODDI results) and structural template (TBM results). Corresponding grey scale map for each averaged DTI and NODDI metrics maps were provided; units for Dp, Dr, and MD were in mm/s2. ACA = Anterior Cingulate Area, AM = Amygdala, AUD = Auditory Area, cc = corpus callosum, ec = external capsule, HP = Hippocampus, HYP = Hypothalamus, ic = internal capsule, INS = Insula, MB = Midbrain, PAL = Palladium, S1 = Primary Somatosensory Cortex, RSN = Retrosplenial Area, STR = Striatum, TH = Thalamus, VIS = Visual Area.

Authors’ original file for figure 3

Additional file 3: Figure S1. Representative CT and MRI features in the current study (A) Sagittal bone-window CT presenting the actinomorphous-shape destruction of haemangioma. (B) Axial CT showing the irregular structural calcification in chondrosarcoma. (C) Axial enhanced T1WI displaying the extensive erosion in intraosseous meningioma. (D) Axial T2WI showing the cystic space with FFLs in haemangioma. (E) Axial contrasted T1WI showing the large cystic areas in myxoma. (F) DWI scan showing the obvious hyperintensity in myxoma. (G) Axial Flair image showing the expansive involvement in EWS. (H) Coronary T1WI with enhancement showing the invasive involvement in haemingioperithelioma. T1WI, T1 weighted image; T2WI, T2 weight image; DWI, diffuse weight image; FFLs, fluid-fluid levels.

Supplemental material, sj-jpg-1-jop-10.1177_02698811231179800 for Sub-acute effects of psilocybin on EEG correlates of neural plasticity in major depression: Relationship to symptoms by Patrick D Skosnik, Jordan Sloshower, Hamideh Safi-Aghdam, Surbhi Pathania, Shariful Syed, Brian Pittman and Deepak C D’Souza in Journal of Psychopharmacology