Three dimensional diffusion isosurfaces overlaid on BDA-labeled fibers in crossing fiber regions.

<p>Background of (A) is the high resolution BDA micrograph (4×) of the white matter under the injection/seed region. Diffusion isosurfaces calculated from the tensors are color-coded according to anatomical orientation and scaled in size by the local FA. (B) and (C) show details immediately under the injection region (IR) and in deeper white matter, respectively.</p

Relationship between tractography-histology variables as well as histology-histology variables.

<p>(A–C) show streamline vs. BDA-labeled fiber data; (D) shows streamline terminals vs. soma data; and (E) shows BDA-labeled soma vs. fiber data. DS (A and D), FSL1 (B) and FSL2 (C) schemes were used to obtain tractography-derived streamlines when <i>d_w</i> is 0, 0.3 and 0.6 mm. Proportional relationships were fit based on least squares regression. The correlation coefficients (with corresponding <i>p</i> values) of the regressions are listed in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0075065#pone-0075065-t001" target="_blank">Table 1</a>.</p

Pipeline for detecting and counting interface-crossing BDA-labeled fibers.

<p>Grayscale 4× micrograph (B) covering a specific ROI (iPM in this example), aligned to the corresponding 0.5× micrograph (A) in standard micrograph space. (B) shows manually drawn markers (red dots) used to identify the WGM boundary. (C) shows the fit of the markers to a continuous curve (yellow). (D) shows segmented BDA-labeled fibers (those with color contours) that touch the WGM boundary along with their numerical index (red numbers beside the fibers).</p

Pearson’s correlation coefficients (with <i>p</i> values) of histological distributions and DTI tractography-derived distributions for all the projection regions.

<p>Significant correlations are shown in bold, and correlation results for labeled somas are shown in italics.</p

Pearson correlation (<i>r</i>) and Spearman rank correlation (<i>r_s</i> and (<i>r_s</i>)₁₀) coefficients (with corresponding <i>p</i> values) for tractography-histology variables as well as histology-histology variables. Significant correlations are shown in bold.

<p>Pearson correlation (<i>r</i>) and Spearman rank correlation (<i>r_s</i> and (<i>r_s</i>)₁₀) coefficients (with corresponding <i>p</i> values) for tractography-histology variables as well as histology-histology variables. Significant correlations are shown in bold.</p

Functional map of the primary motor cortex (M1) used to guide BDA injections.

<p>Cortical sites marked as white dots were stimulated by micro electrode, which evoked body movements of the anesthetized monkey. Letter(s) above each dot indicate the specific movement(s) corresponding to this stimulation site. The number below each dot represents the current threshold (in units of µA) needed to evoke the movement. Thick dashed lines indicate approximate borders of M1, which were identified by the magnitude of threshold (thresholds lower than approximately 40 µA were used to infer the M1 region). Thin dashed lines indicate approximate borders between M1 body representation areas. Black squares show the BDA injection sites covering the forearm movement representation area.</p

FSL2 outputs overlaid on a FA map.

<p>(A) Coronal slice showing the FSL2 density map (<i>d_w</i> = 0.6 mm) superimposed on a grayscale FA map. The white curve labels the WGM interface. (B) and (C) show an enlarged region in the superior part of contralateral hemisphere. Blue and red lines in (C) represent dominant fiber orientations, estimated by the FSL <i>bedpost</i> tool.</p

Dorsal view of the inter-regional connectivity backbones.

<p>(A), (B) and (C) show the BDA-labeled fiber, DS and FSL2 derived (<i>d_w</i> = 0.6 mm) connectivity backbones, respectively. Green and blue nodes indicate the center of mass of the injection and individual projection regions, respectively. The radius of each node is scaled by the square root of the volumes of the corresponding region. The thickness of each edge represents the logarithmic connection strength and the color of the edge is coded according to connection weight (strength divided by volume of the projection region).</p

RSNs with significant linear trends in RSN outcome measures.

<p>Intercept and slope of the estimated linear trend, as well as the slope’s F statistic and p-value in three RSN outcome measures, namely the (a) spatial similarity (eta-squared, η²), (b) temporal fluctuation magnitude, and (c) BNC, for each RSNs with significant linear trends are listed.</p><p>RSNs with significant linear trends in RSN outcome measures.</p

Reproducibility of RSN spatial maps.

<p>Spatial similarity of each session’s RSN spatial map to the corresponding group mean map, measured using eta-squared (η²), for single-subject (blue) and multi-participant (yellow) datasets, is visualized using violin plots. The first, second, and third quartiles of the data are represented within the violin plots as dotted lines.</p