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Atlas overview

The MesoConnect Atlas comprises group probabilistic maps of seven bilateral mesolimbic pathways connecting the ventral tegmental area (VTA), hippocampus, nucleus accumbens (NAc), ventral pallidum (VP) and amygdala. The maps were generated from Human Connectome Project (HCP) 7 T diffusion data (Vu et al., 2015) using probabilistic tractography (Tournier et al., 2010) with pathway-specific anatomical constraints, streamline cleaning and group-level probabilistic mapping (see Atlas construction), and are distributed in Montreal Neurological Institute (MNI) space on the FSL MNI152 1 mm grid (182 × 218 × 182 voxels).

The atlas authors organize the seven pathways into three groupings (Figure 1): regulation of motivated behaviour (hippocampus → NAc → VP; VP → VTA), motivated memory (VTA → anterior hippocampus; VTA → posterior hippocampus), and motivated salience and learning (inferior VTA → NAc; superior VTA → NAc; VTA → amygdala). The groupings organize the atlas for navigation; they do not imply a fixed one-pathway, one-function mapping, and the pathways are overlapping components of a broader circuit.

Figure 1

The Seven Pathways of the MesoConnect Atlas

The seven pathways of the MesoConnect Atlas with their regions of interest

Note. Orange indicates each group-average pathway at the 50% threshold; region colours are given in the figure. Figure from the MesoConnect repository (CC BY 4.0).

The atlas represents plausible streamline trajectories. It does not establish monosynaptic connectivity, fibre directionality or neurotransmitter identity, and several components of the hippocampal–VTA circuit are polysynaptic.

File types​

Each pathway is distributed as two maps per hemisphere (Table 1); the downloads page gives the package layout and file names.

Table 1

Atlas File Types

SuffixContentsTypical use
*_overlap_prop.nii.gzProbabilistic map. Each voxel holds the proportion of contributing participants whose binarized tract included it (range 0 to 1).Visualization, threshold selection, probability-weighted extraction
*_thr50.nii.gzBinary map of voxels present in at least 50% of contributing participants.Corridor construction, whole-tract extraction

The 50% threshold is the default for corridor construction. A stricter threshold (75%) reduces overreach but may omit legitimate between-participant variation. The 25% threshold retains greater extent and is appropriate when a warped 50% core is short or discontinuous; maps at other thresholds are made from the overlap-proportion map (downloads page).

Modes of use​

  1. Corridor-constrained tractography. The warped and dilated atlas defines the region within which participant-level tractography may travel. Streamlines are estimated from the participant's own data. This mode supports along-tract analysis and is the subject of the workflow section.
  2. Whole-tract extraction. A scalar map is averaged within the warped atlas mask. This mode is suitable for descriptive summaries; spatial variation along the tract is not retained. See the appendix.
  3. Atlas-guided synthetic streamlines. A centerline scaffold constructed inside the warped atlas is sampled at 100 nodes. This mode is suitable when participant-level tractography fails in a subset of the sample. The scaffold is a sampling coordinate system rather than a reconstruction. See the appendix.

Coordinate spaces and interpolation​

Atlas space is FSL MNI152 1 mm space unless stated otherwise. Native space refers to a participant's T1, diffusion or NODDI grid (NODDI: neurite orientation dispersion and density imaging; Zhang et al., 2012).

Probabilistic maps are warped with linear interpolation and thresholded in native space. Binary maps are warped with nearest-neighbour interpolation. Spline interpolation is not appropriate for label images. In registration software the moving image is the image being transformed (here the atlas) and the fixed image defines the target grid (the participant); flag names differ between packages. Warped masks should be overlaid on the participant's image and inspected before use.

Interpretive limits​

A group atlas warped to native space does not substitute for participant-level tractography when the research question depends on individual anatomy. Dilation increases sensitivity at the cost of specificity, and the smallest dilation that supports reliable tracking should be used. Whole-tract averages are summary descriptors. Synthetic streamlines are sampling scaffolds and should be described as such in reports.