Comprehensive in vivo Mapping of the Human Basal Ganglia and Thalamic Connectome in Individuals Using 7T MRI

Basal ganglia circuits are affected in neurological disorders such as Parkinson's disease (PD), essential tremor, dystonia and Tourette syndrome. Understanding the structural and functional connectivity of these circuits is critical for elucidating the mechanisms of the movement and neuropsychiatric disorders, and is vital for developing new therapeutic strategies such as deep brain stimulation (DBS). Knowledge about the connectivity of the human basal ganglia and thalamus has rapidly evolved over recent years through non-invasive imaging techniques, but has remained incomplete because of insufficient resolution and sensitivity of these techniques. Here, we present an imaging and computational protocol designed to generate a comprehensive in vivo and subject-specific, three-dimensional model of the structure and connections of the human basal ganglia. High-resolution structural and functional magnetic resonance images were acquired with a 7-Tesla magnet. Capitalizing on the enhanced signal-to-noise ratio (SNR) and enriched contrast obtained at high-field MRI, detailed structural and connectivity representations of the human basal ganglia and thalamus were achieved. This unique combination of multiple imaging modalities enabled the in-vivo visualization of the individual human basal ganglia and thalamic nuclei, the reconstruction of seven white-matter pathways and their connectivity probability that, to date, have only been reported in animal studies, histologically, or group-averaged MRI population studies. Also described are subject-specific parcellations of the basal ganglia and thalamus into sub-territories based on their distinct connectivity patterns. These anatomical connectivity findings are supported by functional connectivity data derived from resting-state functional MRI (R-fMRI). This work demonstrates new capabilities for studying basal ganglia circuitry, and opens new avenues of investigation into the movement and neuropsychiatric disorders, in individual human subjects

The anatomy and localization of the pedunculopontine nucleus determined using probabilistic diffusion tractography [corrected].

Deep brain stimulation (DBS) of the pedunculopontine nucleus (PPN) has recently been shown to effectively ameliorate medically intractable axial symptoms of Parkinson's disease (PD). The effects of DBS are not limited to the targeted structure, but will affect the distributed anatomical networks to which the target structure belongs. Therefore, understanding the anatomical connections of the PPN will help elucidate treatment effects. Furthermore, establishing the topography of cortical and sub-cortical connections of the PPN in the human brain could aid accurate targeting of critical pathways in DBS. This article summarizes the connections of the PPN and the distribution of these connections within this nucleus (topography) as previously determined using diffusion tensor imaging (DTI) in healthy human volunteers and in a primate Macaca mulatta brain. These findings highlight DTI as a useful tool for surgical targeting for DBS of the PPN, and also show that DTI can be used to accurately probe the anatomy of the human and monkey brain in vivo

Topography of cortical and subcortical connections of the human pedunculopontine and subthalamic nuclei.

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is the most common surgical therapy for Parkinson' s disease (PD). DBS of the pedunculopontine nucleus (PPN) is emerging as a promising surgical therapy for PD as well. In order to better characterize these nuclei in humans, we determined the anatomical connections of the PPN and STN and the topography of these connections using probabilistic diffusion tractography. Diffusion tractography was carried out in eight healthy adult subjects using diffusion data acquired at 1.5 T MRI (60 directions, b=1000 s/mm(2), 2 x 2 x 2 mm(3) voxels). The major connections that we identified from single seed voxels within STN or PPN were present in at least half the subjects and the topography of these connections within a 36-voxel region surrounding the initial seed voxel was then examined. Both the PPN and STN showed connections with the cortex, basal ganglia, cerebellum, and down the spinal cord, largely matching connections demonstrated in primates. The topography of motor and associative brain areas in the human STN was strikingly similar to that shown in animals. PPN Topography has not been extensively demonstrated in animals, but we showed significant topography of cortical and subcortical connections in the human PPN. In addition to demonstrating the usefulness of PDT in determining the connections and topography of small grey matter structures in vivo, these results allow for inference of optimal DBS target locations and add to our understanding of the role of these nuclei in PD

Cortical and subcortical connections within the pedunculopontine nucleus of the primate Macaca mulatta determined using probabilistic diffusion tractography.

The anatomical connections of the pedunculopontine nucleus (PPN), a brainstem structure associated with locomotion, have been determined recently in healthy humans using probabilistic diffusion tractography (PDT). In order to compare these with histologically demonstrated connections of the PPN in monkeys, and thus to support the use of PDT in humans, we have carried out PDT in a fixed rhesus monkey (Macaca mulatta) brain. Probabilistic diffusion tractography was carried out in a fixed post-mortem rhesus monkey brain using diffusion data acquired at 3T MRI (60 directions x 5 averages, b=3000 s/mm(2), matrix size=104 x 132 x 96, 720 x 720 x 720 microm voxels). We identified the major connections of the PPN from single seed voxels that could be confidently located within the nucleus on the diffusion images. The organisation of these connections within a 3 x 3 x 3 voxel ( approximately 10 mm(3)) region surrounding the initial seed voxel was then examined. PDT confirmed that the rhesus monkey PPN connections with the basal ganglia and motor cortical areas matched those previously demonstrated using conventional anatomical tracing techniques. Furthermore, although the organisation of subcortical connections within the PPN has not been extensively demonstrated in animals, we show here in a rhesus monkey that there are clearly separated connections of the PPN with the thalamus, substantia nigra, and subthalamic nucleus. Thus, in addition to increasing confidence in the accuracy of PDT for tracing PPN connections and determining the organisation of these connections within the PPN in vivo, our observations suggest that diffusion tractography will be a useful new technique to rapidly identify connections in animal brains pre-mortem and post-mortem

Connectivity of the human pedunculopontine nucleus region and diffusion tensor imaging in surgical targeting.

OBJECT: The pedunculopontine nucleus (PPN) region of the brainstem has become a new stimulation target for the treatment of gait freezing, akinesia, and postural instability in advanced Parkinson disease (PD). Because PD locomotor symptoms are probably caused by excessive gamma-aminobutyric acidergic inhibition of the PPN, low-frequency stimulation of the PPN may overcome this inhibition and improve the symptoms. However, the anatomical connections of this region in humans are not known in any detail. METHODS: Diffusion weighted magnetic resonance (MR) images were acquired at 1.5 teslas, and probabilistic tractography was used to trace the connections of the PPN region in eight healthy volunteers. A single seed voxel (2 x 2 x 2 mm) was chosen in the PPN just lateral to the decussation of the superior cerebellar peduncle, and the Diffusion Toolbox of the Oxford Centre for Functional Magnetic Resonance Imaging of the Brain was used to process the acquired MR images. The connections of each volunteer's PPN region were analyzed using a human brain MR imaging atlas. RESULTS: The PPN region was connected with the cerebellum and spinal cord below and to the thalamus, pallidum, subthalamic nucleus, and motor cortex above. The regions of the primary motor cortex that control the trunk and upper and lower extremities had the highest connectivity compared with other parts of motor cortex. CONCLUSIONS: These findings suggest that connections of the PPN region with the primary motor cortex, basal ganglia, thalamus, cerebellum, and spinal cord may play important roles in the regulation of movement by the PPN region. Diffusion tensor imaging tractography of the PPN region may be used preoperatively to optimize placement of stimulation electrodes and postoperatively it may also be useful to reassess electrode positions

Using motor imagery to study the neural substrates of dynamic balance

Contains fulltext : 126885.pdf (publisher's version ) (Open Access)This study examines the cerebral structures involved in dynamic balance using a motor imagery (MI) protocol. We recorded cerebral activity with functional magnetic resonance imaging while subjects imagined swaying on a balance board along the sagittal plane to point a laser at target pairs of different sizes (small, large). We used a matched visual imagery (VI) control task and recorded imagery durations during scanning. MI and VI durations were differentially influenced by the sway accuracy requirement, indicating that MI of balance is sensitive to the increased motor control necessary to point at a smaller target. Compared to VI, MI of dynamic balance recruited additional cortical and subcortical portions of the motor system, including frontal cortex, basal ganglia, cerebellum and mesencephalic locomotor region, the latter showing increased effective connectivity with the supplementary motor area. The regions involved in MI of dynamic balance were spatially distinct but contiguous to those involved in MI of gait (Bakker et al., 2008; Snijders et al., 2011; Cremers et al., 2012), in a pattern consistent with existing somatotopic maps of the trunk (for balance) and legs (for gait). These findings validate a novel, quantitative approach for studying the neural control of balance in humans. This approach extends previous reports on MI of static stance (Jahn et al., 2004, 2008), and opens the way for studying gait and balance impairments in patients with neurodegenerative disorders.11 p