Quantitative T1 mapping of the substantia nigra using phase-sensitive inversion recovery sequence at 3.0-T: a healthy volunteer study.

BACKGROUND: Quantitative evaluation of degeneration of the substantia nigra (SN) is important for early, pre-symptomatic diagnosis of Parkinson's disease (PD). Accordingly, a clinically feasible imaging and quantification technique are needed. PURPOSE: To investigate the T1 value of the SN in healthy individuals from phase-sensitive inversion recovery (PSIR) images and to clarify its correlation with the SN characteristics on neuromelanin (NM) images to identify an imaging biomarker for early diagnosis of PD. MATERIAL AND METHODS: T1-weighted and NM images of the SN from 32 healthy volunteers were obtained using PSIR and turbo spin-echo sequences. The contrast between the SN and cerebral peduncle (CP) and area of the SN were measured; the T1 values of the SN from PSIR images and relationships between the T1 value and age/SN area were evaluated. RESULTS: There was a significant negative correlation between age and the SN area obtained using PSIR imaging. The SN area on PSIR images (104.9 ± 20.9 mm2) was significantly larger than that on NM images (72.1 ± 14.9 mm2). There was a significant negative correlation between the SN area and the T1 value of the SN obtained from PSIR images. CONCLUSION: In healthy adults, the area and T1 value of the SN measured on PSIR images were different from those obtained from NM images. This suggests that PSIR imaging may help in the assessment of SN degeneration.

The Amsterdam Ultra-high field adult lifespan database (AHEAD): A freely available multimodal 7 Tesla submillimeter magnetic resonance imaging database.

Normative databases allow testing of novel hypotheses without the costly collection of magnetic resonance imaging (MRI) data. Here we present the Amsterdam Ultra-high field adult lifespan database (AHEAD). The AHEAD consists of 105 7 Tesla (T) whole-brain structural MRI scans tailored specifically to imaging of the human subcortex, including both male and female participants and covering the entire adult life span (18-80 yrs). We used these data to create probability maps for the subthalamic nucleus, substantia nigra, internal and external segment of the globus pallidus, and the red nucleus. Data was acquired at a submillimeter resolution using a multi-echo (ME) extension of the second gradient-echo image of the MP2RAGE sequence (MP2RAGEME) sequence, resulting in complete anatomical alignment of quantitative, R1-maps, R2*-maps, T1-maps, T1-weighted images, T2*-maps, and quantitative susceptibility mapping (QSM). Quantitative MRI maps, and derived probability maps of basal ganglia structures are freely available for further analyses.

Substantia Nigra Volumetry with 3-T MRI in De Novo and Advanced Parkinson Disease.

Background Magnetization transfer-prepared T1-weighted MRI can depict a hyperintense subregion of the substantia nigra involved in the degeneration process of Parkinson disease. Purpose To evaluate quantitative measurement of substantia nigra volume by using MRI to support clinical diagnosis and staging of Parkinson disease. Materials and Methods In this prospective study, a high-spatial-resolution magnetization transfer-prepared T1-weighted volumetric sequence was performed with a 3-T MRI machine between January 2014 and October 2015 for participants with de novo Parkinson disease, advanced Parkinson disease, and healthy control participants. A reproducible semiautomatic quantification analysis method that entailed mesencephalic intensity as an internal reference was used for hyperintense substantia nigra volumetry normalized to intracranial volume. A general linear model with age and sex as covariates was used to compare the three groups. Results Eighty participants were evaluated: 20 healthy control participants (mean age ± standard deviation, 56 years ± 11; 11 women), 29 participants with de novo Parkinson disease (64 years ± 10; 19 men), and 31 participants with advanced Parkinson disease (60 years ± 9; 16 women). Volumetric measurement of hyperintense substantia nigra from magnetization transfer-prepared T1-weighted MRI helped differentiate healthy control participants from participants with advanced Parkinson disease (mean difference for ipsilateral side, 64 mm3 ± 14, P < .001; mean difference for contralateral side, 109 mm3 ± 14, P < .001) and helped distinguish healthy control participants from participants with de novo Parkinson disease (mean difference for ipsilateral side, 45 mm3 ± 15, P < .01; mean difference for contralateral side, 66 mm3 ± 15, P < .001) and participants with de novo Parkinson disease from those with advanced Parkinson disease (mean difference for ipsilateral side, 20 mm3 ± 13, P = .40; mean difference for contralateral side, 43 mm3 ± 13, P = .004). Conclusion Magnetization transfer-prepared T1-weighted MRI volumetry of the substantia nigra helped differentiate the stages of Parkinson disease. © RSNA, 2020 Online supplemental material is available for this article.

Relationship between neuromelanin and dopamine terminals within the Parkinson's nigrostriatal system.

Parkinson's disease is characterized by the progressive loss of pigmented dopaminergic neurons in the substantia nigra and associated striatal deafferentation. Neuromelanin content is thought to reflect the loss of pigmented neurons, but available data characterizing its relationship with striatal dopaminergic integrity are not comprehensive or consistent, and predominantly involve heterogeneous samples. In this cross-sectional study, we used neuromelanin-sensitive MRI and the highly specific dopamine transporter PET radioligand, 11C-PE2I, to assess the association between neuromelanin-containing cell levels in the substantia nigra pars compacta and nigrostriatal terminal density in vivo, in 30 patients with bilateral Parkinson's disease. Fifteen healthy control subjects also underwent neuromelanin-sensitive imaging. We used a novel approach taking into account the anatomical and functional subdivision of substantia nigra into dorsal and ventral tiers and striatal nuclei into pre- and post-commissural subregions, in accordance with previous animal and post-mortem studies, and consider the clinically asymmetric disease presentation. In vivo, Parkinson's disease subjects displayed reduced neuromelanin levels in the ventral (-30 ± 28%) and dorsal tiers (-21 ± 24%) as compared to the control group [F(1,43) = 11.95, P = 0.001]. Within the Parkinson's disease group, nigral pigmentation was lower in the ventral tier as compared to the dorsal tier [F(1,29) = 36.19, P < 0.001] and lower in the clinically-defined most affected side [F(1,29) = 4.85, P = 0.036]. Similarly, lower dopamine transporter density was observed in the ventral tier [F(1,29) = 76.39, P < 0.001] and clinically-defined most affected side [F(1,29) = 4.21, P = 0.049]. Despite similar patterns, regression analysis showed no significant association between nigral pigmentation and nigral dopamine transporter density. However, for the clinically-defined most affected side, significant relationships were observed between pigmentation of the ventral nigral tier with striatal dopamine transporter binding in pre-commissural and post-commissural striatal subregions known to receive nigrostriatal projections from this tier, while the dorsal tier correlated with striatal projection sites in the pre-commissural striatum (P < 0.05, Benjamini-Hochberg corrected). In contrast, there were no statistically significant relationships between these two measures in the clinically-defined least affected side. These findings provide important insights into the topography of nigrostriatal neurodegeneration in Parkinson's disease, indicating that the characteristics of disease progression may fundamentally differ across hemispheres and support post-mortem data showing asynchrony in the loss of neuromelanin-containing versus tyrosine hydroxylase positive nigral cells.

Automated segmentation of midbrain structures with high iron content.

The substantia nigra (SN), the subthalamic nucleus (STN), and the red nucleus (RN) are midbrain structures of ample interest in many neuroimaging studies, which may benefit from the availability of automated segmentation methods. The high iron content of these structures awards them high contrast in quantitative susceptibility mapping (QSM) images. We present a novel segmentation method that leverages the information of these images to produce automated segmentations of the SN, STN, and RN. The algorithm builds a map of spatial priors for the structures by non-linearly registering a set of manually-traced training labels to the midbrain. The priors are used to inform a Gaussian mixture model of the image intensities, with smoothness constraints imposed to ensure anatomical plausibility. The method was validated on manual segmentations from a sample of 40 healthy younger and older subjects. Average Dice scores were 0.81 (0.05) for the SN, 0.66 (0.14) for the STN and 0.88 (0.04) for the RN in the left hemisphere, and similar values were obtained for the right hemisphere. In all structures, volumes of manual and automatically obtained segmentations were significantly correlated. The algorithm showed lower accuracy on R2* and T2-weighted Fluid Attenuated Inversion Recovery (FLAIR) images, which are also sensitive to iron content. To illustrate an application of the method, we show that the automated segmentations were comparable to the manual ones regarding detection of age-related differences to putative iron content.

Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.

BACKGROUND: Microelectrode recordings along preplanned trajectories are often used for accurate definition of the subthalamic nucleus (STN) borders during deep brain stimulation (DBS) surgery for Parkinson's disease. Usually, the demarcation of the STN borders is performed manually by a neurophysiologist. The exact detection of the borders is difficult, especially detecting the transition between the STN and the substantia nigra pars reticulata. Consequently, demarcation may be inaccurate, leading to suboptimal location of the DBS lead and inadequate clinical outcomes. METHODS: We present machine-learning classification procedures that use microelectrode recording power spectra and allow for real-time, high-accuracy discrimination between the STN and substantia nigra pars reticulata. RESULTS: A support vector machine procedure was tested on microelectrode recordings from 58 trajectories that included both STN and substantia nigra pars reticulata that achieved a 97.6% consistency with human expert classification (evaluated by 10-fold cross-validation). We used the same data set as a training set to find the optimal parameters for a hidden Markov model using both microelectrode recording features and trajectory history to enable real-time classification of the ventral STN border (STN exit). Seventy-three additional trajectories were used to test the reliability of the learned statistical model in identifying the exit from the STN. The hidden Markov model procedure identified the STN exit with an error of 0.04 ± 0.18 mm and detection reliability (error < 1 mm) of 94%. CONCLUSIONS: The results indicate that robust, accurate, and automatic real-time electrophysiological detection of the ventral STN border is feasible. © 2016 International Parkinson and Movement Disorder Society.

Distinct Contributions of Ventromedial and Dorsolateral Subregions of the Human Substantia Nigra to Appetitive and Aversive Learning.

The role of neurons in the substantia nigra (SN) and ventral tegmental area (VTA) of the midbrain in contributing to the elicitation of reward prediction errors during appetitive learning has been well established. Less is known about the differential contribution of these midbrain regions to appetitive versus aversive learning, especially in humans. Here we scanned human participants with high-resolution fMRI focused on the SN and VTA while they participated in a sequential Pavlovian conditioning paradigm involving an appetitive outcome (a pleasant juice), as well as an aversive outcome (an unpleasant bitter and salty flavor). We found a degree of regional specialization within the SN: Whereas a region of ventromedial SN correlated with a temporal difference reward prediction error during appetitive Pavlovian learning, a dorsolateral area correlated instead with an aversive expected value signal in response to the most distal cue, and to a reward prediction error in response to the most proximal cue to the aversive outcome. Furthermore, participants' affective reactions to both the appetitive and aversive conditioned stimuli more than 1 year after the fMRI experiment was conducted correlated with activation in the ventromedial and dorsolateral SN obtained during the experiment, respectively. These findings suggest that, whereas the human ventromedial SN contributes to long-term learning about rewards, the dorsolateral SN may be particularly important for long-term learning in aversive contexts. SIGNIFICANCE STATEMENT: The role of the substantia nigra (SN) and ventral tegmental area (VTA) in appetitive learning is well established, but less is known about their contribution to aversive compared with appetitive learning, especially in humans. We used high-resolution fMRI to measure activity in the SN and VTA while participants underwent higher-order Pavlovian learning. We found a regional specialization within the SN: a ventromedial area was selectively engaged during appetitive learning, and a dorsolateral area during aversive learning. Activity in these areas predicted affective reactions to appetitive and aversive conditioned stimuli over 1 year later. These findings suggest that, whereas the human ventromedial SN contributes to long-term learning about rewards, the dorsolateral SN may be particularly important for long-term learning in aversive contexts.

Automated segmentation of the substantia nigra, subthalamic nucleus and red nucleus in 7T data at young and old age.

With recent developments in MR acquisition at 7T, smaller brainstem structures such as the red nuclei, substantia nigra and subthalamic nuclei can be imaged with good contrast and resolution. These structures have important roles both in the study of the healthy brain and in diseases such as Parkinson's disease, but few methods have been described to automatically segment them. In this paper, we extend a method that we have previously proposed for segmentation of the striatum and globus pallidus to segment these deeper and smaller structures. We modify the method to allow more direct control over segmentation smoothness by using a Markov random field prior. We investigate segmentation performance in three age groups and show that the method produces consistent results that correspond well with manual segmentations. We perform a vertex-based analysis to identify changes with age in the shape of the structures and present results suggesting that the method may be at least as effective as manual delineation in capturing differences between subjects.

In vivo characterization of the connectivity and subcomponents of the human globus pallidus.

Projections from the substantia nigra and striatum traverse through the pallidum on the way to their targets. To date, in vivo characterization of these pathways remains elusive. Here we used high angular resolution diffusion imaging (N=138) to study the characteristics and structural subcompartments of the human pallidum. Our central result shows that the diffusion orientation distribution functions within the pallidum are asymmetrically oriented in a dorsal to dorsolateral direction, consistent with the orientation of underlying fiber systems. We also observed systematic differences in the diffusion signal between the two pallidal segments. Compared to the outer pallidal segment, the internal segment has more peaks in the diffusion orientation distribution and stronger anisotropy in the primary fiber direction, consistent with known cellular differences between the underlying nuclei. These differences in orientation, complexity, and degree of anisotropy are sufficiently robust to automatically segment the pallidal nuclei using diffusion properties. We characterize these patterns in one data set using diffusion spectrum imaging and replicate in a separate sample of subjects imaged using multi-shell imaging, highlighting the reliability of these diffusion patterns within pallidal nuclei. Thus the gray matter diffusion signal can be useful as an in vivo measure of the collective efferent pathways running through the human pallidum.

A multicontrast approach for comprehensive imaging of substantia nigra.

We characterize the contrast behavior of substantia nigra (SN) in both magnetization transfer (MT) imaging, which is believed to be sensitive to neuromelanin (NM), and susceptibility weighted imaging (SWI). Images were acquired with a MT prepared dual echo gradient echo sequence. The first echo was taken as the MT contrast image and the second was used to generate the SWI image. SN volumes were segmented from these two types of images using a thresholding method. The spatial and signal characteristics of the extracted SWI and MT volumes were compared. Both images showed the presence of SN but the volumes of the SN identified in the two are spatially incongruent. The MT volume was more caudal than the SWI volume and with only a 12% overlap between the two volumes. Considering the SN volumes in each hemisphere separately, the average distances between the centers of mass of the volumes from the two types images are 5.1±1.1mm and 4.1±1.2mm, respectively. The frequency offsets (homodyne filtered phase/echo time) for the volumes derived from MT (NM) images and SWI images are 0.09±0.32radians/s and -1.12±0.57radians/s (p<0.0001), respectively. The MT contrasts for the two volumes are 0.16±0.02 and 0.10±0.03 (p<0.001), respectively. Our results indicate that the two contrasts are sensitive to different portions of the SN, with MT seeing the more caudal portion of the SN than SWI, likely due to variations of NM and iron content in the SN. Despite the small overlap, these regions are complementary. Our results provide a new understanding of the contrast behavior of the SN in the two imaging approaches commonly used to image it and indicate that using both may yield a more comprehensive visualization of the SN.

Electrophysiological validation of STN-SNr boundary depicted by susceptibility-weighted MRI.

BACKGROUND: Direct targeting of subthalamic nucleus (STN) without secondary electrophysiological verification during deep brain stimulation (DBS) is replacing atlas-based indirect targeting techniques. Recent groups have reported increased contrast and better delineation of STN and substantia nigra (SNr) in susceptibility-weighted imaging protocols (SWI). We aim to validate the STN-SNr boundary seen in MRI- SWI by correlating with intraoperative microelectrode recordings (MER) as a part of developing a multi-contrast DBS MRI planning protocol. METHODS: Prospective service evaluation involving electrophysiological verification by correlation of MER trajectory and STN-SNr boundary seen in SWI in seven consecutive patients undergoing DBS surgery were analyzed. The angle of inclination of the STN-SNr boundary and DBS trajectory in the coronal plane were calculated. Considering 4-mm dispersion of a coronal 3 MER array, we predicted, measured, and correlated the depths at which each electrode engaged the boundary. RESULTS: All central microelectrodes identified the STN-SNr boundary within 1 mm of the predicted depth with 100 % accuracy. Ninety percent of the lateral MER identified the STN-SNr boundary as predicted from SWI and angle of the encounter of the MER front. CONCLUSIONS: The study demonstrates that STN morphology can be depicted using SWI MRI and coincides reliably with the electrophysiological MER boundary. Thus, this imaging modality can be used to refine STN direct targeting protocols in DBS surgery for PD.

Resting state networks distinguish human ventral tegmental area from substantia nigra.

Dopaminergic networks modulate neural processing across a spectrum of function from perception to learning to action. Multiple organizational schemes based on anatomy and function have been proposed for dopaminergic nuclei in the midbrain. One schema originating in rodent models delineated ventral tegmental area (VTA), implicated in complex behaviors like addiction, from more lateral substantia nigra (SN), preferentially implicated in movement. However, because anatomy and function in rodent midbrain differs from the primate midbrain in important ways, the utility of this distinction for human neuroscience has been questioned. We asked whether functional definition of networks within the human dopaminergic midbrain would recapitulate this traditional anatomical topology. We first developed a method for reliably defining SN and VTA in humans at conventional MRI resolution. Hand-drawn VTA and SN regions-of-interest (ROIs) were constructed for 50 participants, using individually-localized anatomical landmarks and signal intensity. Individual segmentation was used in seed-based functional connectivity analysis of resting-state functional MRI data; results of this analysis recapitulated traditional anatomical targets of the VTA versus SN. Next, we constructed a probabilistic atlas of the VTA, SN, and the dopaminergic midbrain region (comprised of SN plus VTA) from individual hand-drawn ROIs. The combined probabilistic (SN plus VTA) ROI was then used for connectivity-based dual-regression analysis in two independent resting-state datasets (n = 69 and n = 79). Results of the connectivity-based, dual-regression functional segmentation recapitulated results of the anatomical segmentation, validating the utility of this probabilistic atlas for future research.

MR imaging of the substantia nigra at 7 T enables diagnosis of Parkinson disease.

PURPOSE: To evaluate the anatomy of the substantia nigra (SN) in healthy subjects by performing 7-T magnetic resonance (MR) imaging of the SN, and to prospectively define the accuracy of 7-T MR imaging in distinguishing Parkinson disease (PD) patients from healthy subjects on an individual basis. MATERIALS AND METHODS: The 7-T MR imaging protocol was approved by the Italian Ministry of Health and by the local competent ethics committee. SN anatomy was described ex vivo on a gross brain specimen by using highly resolved proton-density (spin-echo proton density) and gradient-recalled-echo (GRE) images, and in vivo in eight healthy subjects (mean age, 40.1 years) by using GRE three-dimensional multiecho susceptibility-weighted images. After training on appearance of SN in eight healthy subjects, the SN anatomy was evaluated twice by two blinded observers in 13 healthy subjects (mean age, 54.7 years) and in 17 PD patients (mean age, 56.9 years). Deviations from normal SN appearance were described and indicated as abnormal, and both diagnostic accuracy and intra- and interobserver agreement for diagnosis of PD with 7-T MR imaging were calculated. RESULTS: Three-dimensional multiecho susceptibility-weighted 7-T MR imaging reveals a three-layered organization of the SN allowing readers to distinguish pars compacta ventralis and dorsalis from pars reticulata. The abnormal architecture of the SN allowed a discrimination between PD patients and healthy subjects with sensitivity and specificity of 100% and 96.2% (range, 92.3%-100%), respectively. Intraobserver agreement (κ = 1) and interobserver agreement (κ = 0.932) were excellent. CONCLUSION: MR imaging at 7-T allows a precise characterization of the SN and visualization of its inner organization. Three-dimensional multiecho susceptibility-weighted images can be used to accurately differentiate healthy subjects from PD patients, which provides a novel diagnostic opportunity.

Motor afferents from the cerebellum, zona incerta and substantia nigra to the mediodorsal thalamic nucleus in the rat.

The mediodorsal (MD) thalamic nucleus provides information from subcortical structures to the prefrontal cortex. The human MD thalamic nucleus has been implicated in a great variety of different clinical conditions and normal functions ranging from schizophrenia, Parkinsonism and epilepsy to many cognitive functions. In the rat the MD thalamic nucleus is divided into three cytoarchitectonic sectors whereas in the primates it is divided into two; medial one-third (magnocellular) and lateral two-thirds further the lateral sector is divided into pars parvocellularis pars multiformis, pars fasciculosa and pars caudalis. In this study we used a retrograde tracer, fluoro-gold (FG) to evaluate some of the afferents reaching the lateral sector of the MD (MDl) thalamic nucleus. The results of the present study have shown that MDl receives afferent connections from the lateral cerebellar nucleus (dentate nucleus), substantia nigra pars reticulata (SNR) and zona incerta (ZI). Subsequent to FG injections into the MDl, labeled cells were observed mainly bilaterally but were sparser on the contralateral side than ipsilaterally from each of the three structures listed. All three afferents showed a topographical organization. The labeled neurons were localized at the dorsomedial aspect of the lateral cerebellar nucleus, the dorsoventral aspect of the SNR and in the dorsal sector of the ZI. The lateral cerebellar nucleus reached the MDl via the superior cerebellar peduncle. No other deep cerebellar nuclei showed labeled cells. There were no labeled cells in the substantia nigra pars compacta (SNC). Although the three regions identified here are recognized as having motor functions, the connections to MD suggest that their outputs also play a role in cognitive or other higher cortical functions.

Three-dimensional MRI with independent slab excitation and encoding.

Three-dimensional MRI is typically performed with the same orientation for radiofrequency slab excitation and slab select phase encoding. We introduce independent slab excitation and encoding to create a new degree of freedom in three-dimensional MRI, which is the angular relationship between the prescribed excitation volume and the voxel encoding grid. By separating the directions of slab excitation and slab phase encoding, the independent slab excitation and encoding method allows choice of optimal voxel orientation, while maintaining volume excitation based on anatomic landmarks. The method requires simple pulse sequence modifications and uses standard image reconstruction followed by removal of aliasing and image reformatting. The independent slab excitation and encoding method enables arbitrary oblique angle imaging using fixed voxel encoding gradients to maintain similar eddy current, concomitant field, or magnetic dipole effects independent of the oblique angle of excitation. We apply independent slab excitation and encoding to phase and susceptibility-weighted imaging using fixed voxel encoding aligned with the main magnetic field to demonstrate its value in both standardizing and improving image contrast, when using arbitrary oblique imaging volumes.

Use of imaging multivariate analysis to improve biochemical and anatomical discrimination in desorption electrospray ionisation mass spectrometry imaging.

Desorption electrospray ionisation (DESI) mass spectrometry images usually contain a large amount of information that can be difficult to interpret in an objective manner. We explore the use of imaging multivariate analysis (MVA) on DESI images of protein spots and rat brain sections to automatically assign peaks and improve discrimination of spatially important features. DESI parameters were optimised on an ion trap mass spectrometer for (a) consistent imaging of dried single and mixture spots of insulin, myoglobin and BSA from a Permanox slide, and (b) to produce a MS image of rat brain coronal section at 100 µm resolution. Multivariate curve resolution (MCR), an imaging MVA technique was applied to these images after appropriate data binning. MCR analysis on DESI images of protein mixture spots allowed the multiply charged peaks of a number of proteins to be distinctly separated. Application of MCR to a DESI image of a rat brain coronal section deconvoluted the image into components that showed biologically important features. Further application of MCR to a subsection of the image produced a component that clearly separated out the substantia nigra region, which allowed us to produce a biochemical anatomy for this area of the brain. We have demonstrated the ability of imaging MVA to automatically and objectively analyse DESI images of standardised and complex biological samples, and have shown its capacity for detailed spatial profiling of biomolecules in specific morphological regions. We propose the routine use of this technique for future DESI imaging experiments.

[Organization of the projections of the structures of the basal ganglia morpho-functional system to the individual substructures of the deep mesencephalic nucleus complex of dog brain].

The method of retrograde axonal transport of horseradish peroxidase was used to study the organization of the projections of the morpho-functional system of the basal ganglia nuclei to the individual substructures of the of deep mesencephalic nucleus complex (DMNC) of dog brain (n = 9). It was found that the nucleus accumbens was the only striatum structure containing the neurons that sent projection fibers to the subcuneate nucleus. The projections of the output structures of the basal ganglia--pallidum, substantia nigra, zona incerta, pedunculopontine nucleus were more numerous in DMNC. It was demonstrated that not all DMNC substructures received projection fibers from the neurons of all the nuclei of the basal ganglia structures mentioned. Thus, the fibers from the neurons of the globus pallidus and the ventral pallidum innervated the cuneiform and the subcuneiform nuclei, while those from the entopeduncular nucleus projected to all the DMNC substructures. The projection fibers from the zona incerta neurons were directed to the subcuneate nucleus and to the deep mesencephalic nucleus, while those from the pedunculopontine nucleus projected to the cuneate and the subcuneate nuclei. The projections from the substantia nigra neurons were directed to all the substructures of DMNC.

Evidence for asymmetric intra substantia nigra functional connectivity-application to basal ganglia processing.

The growing uses of deep brain stimulation for various basal ganglia (BG) abnormalities have reinforced the need to better understand its functional circuitry and organization. Here we focus on cortico-basal-ganglia pathways to test the "parallel, segregated" versus "funneling, integrated" theories. Using manganese-enhanced MRI (MEMRI) together with principal component spatiotemporal analysis, we previously described two patterns of caudomedial striatum efferent connectivity to the substantia nigra pars reticulata (SNr) that were hypothesized to represent the coexistence of integrated and segregated processes. These patterns corresponded to a direct mono-synaptic projection to the dorsolateral core of the SN and to a di-synaptic projection covering the entire nucleus. In the current study, MEMRI of the rostrolateral striatum was carried out to test whether this coexistence remains in the mirror pathway, by measuring rostrolateral striatum efferent connectivity that is known to connect to the ventromedial SNr. Only one spatiotemporal pattern of manganese accumulation, corresponding to projections from the striatum, was observed. It corresponds to a mono-synaptic projection to the ventromedial SNr covering SNr laminas, but no manganese was observed at the dorsolateral SNr core. Together with our previous findings, this suggests functional asymmetry along the SNr which is consistent with the known anatomical organization of dendrite and axonal 3D arborization. Consequently, the polarized connectivity along the dorsolateral-ventromedial axis implies that funneling and integration occur in the core (dorsolateral SNr) to the lamina (ventromedial SNr) direction, whereas in the other direction, and within other parts of the SNr, segregation predominates.

Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods.

Optimisation and comparison of the performance of three different methods for calculating three-dimensional susceptibility maps of the whole brain from gradient-echo (phase and modulus) image data acquired at 7 T is described. The methods studied are a multiple-orientation method in which image data acquired with the head at several different angles to the main field are combined and two methods which use data acquired at a single orientation: the first of these is based on exclusion of some k-space data from the calculation (through thresholding of the dipolar field kernel), while the second incorporates a regularisation method that is based on using information from the modulus images. The methods were initially optimised via analysis of data from a phantom containing different compartments of known susceptibility. As part of this work, a novel high-pass filtering methodology was introduced to remove background fields from field maps based on phase data. The optimised methods were successfully applied to high-resolution (0.7 mm isotropic) whole-brain modulus and phase data acquired in vivo from five healthy male subjects, 25-30 years of age. The multiple-orientation method yielded high quality susceptibility maps, out-performing the single-orientation methods. Venous blood vessels as well as the substantia nigra and globus pallidus brain regions showed particularly high positive susceptibility offsets relative to surrounding tissue, consistent with high deoxyhemoglobin and non-heme iron content, respectively. To compare the performance of the different methods, regions of interest were drawn in deep grey matter structures and in cortical grey and white matter. The threshold-based approach was fast and simple to use, but underestimated susceptibility differences and showed significant artefacts due to noise amplification in difficult regions of k-space. The regularised single-orientation method yielded contrast dependent on the choice of spatial priors, but demonstrated the potential to yield susceptibility maps of a similar quality to those calculated using data acquired at multiple orientations to the field.

Kindling as a model of temporal lobe epilepsy induces bilateral changes in spontaneous striatal activity.

Basal ganglia are engaged in seizure propagation, control of seizures, and in epilepsy-induced neuroplasticity. Here, we tested the hypothesis that previously observed histological and neurochemical changes in the striatum of amygdala-kindled rats as a model of temporal lobe epilepsy are reflected in alterations of spontaneous striatal firing rates and patterns. Because experimental histological and clinical imaging studies indicated a bilateral involvement of the striatum in epilepsy-induced neuroplasticity, in vivo single-unit recordings were done bilaterally 1 day after a kindled seizure in rats kindled via the right amygdala. Compared to control animals, we observed (1) an increased irregularity of firing of neurons classified as striatal projection neurons and located in the anterior striatum ipsilateral to the kindling side and (2) an increased spontaneous activity of neurons classified as striatal projection neurons and located in the anterior striatum contralateral to the kindling side. These hyperactive neurons were located within the dorsolateral (sensorimotor) subregion of the striatum. The present study represents the first evidence of kindling-induced bilateral changes in electrophysiological properties of striatal neurons and demonstrates that the striatum is strongly affected by the functional reorganization of neurocircuits associated with kindling. The changes are probably caused by a combination of several factors including disturbed bilateral limbic and neocortical input as well as disturbed intrastriatal GABAergic function. The changes reflect a pathophysiological state predisposing the brain to epileptic discharge propagation or else (contralateral striatum) could represent a compensatory network of inhibitory circuits activated to prevent the propagation of seizure activity. The findings are relevant for a better understanding of kindling-induced network changes and might provide new targets for therapeutic manipulations in epilepsies.