Corrélats neuronaux du circuit des récompenses chez les jeunes à risque parental de troubles de l'humeur

Cette thèse a pour objectif l’investigation du circuit des récompenses, sur les plans comportementaux et neuronaux, chez des adolescents à risque parental élevé de dépression majeure et de trouble bipolaire, en comparaison à des jeunes à risque parental peu élevé. Plus précisément, le but est d’identifier des marqueurs comportementaux et neuronaux du risque de développer une dépression majeure ou un trouble bipolaire, afin d’être en mesure de détecter et de prévenir ces troubles le plus tôt possible pour éviter, ou du moins retarder, leur émergence. Pour ce faire, nous avons réalisé deux études, présentées ici dans deux articles empiriques. Dans le premier article, le fonctionnement comportemental et neuronal du circuit des récompenses a été investigué au moyen d’une tâche d’anticipation et d’obtention de gains et de pertes monétaires, chez des adolescents à risque parental de dépression majeure (i.e., jeunes asymptomatiques dont un des parents souffre de dépression majeure), des adolescents à risque parental de trouble bipolaire (i.e., jeunes asymptomatiques dont un des parents souffre de trouble bipolaire) et des adolescents contrôles (i.e., jeunes asymptomatiques dont les deux parents sont en bonne santé mentale). Au niveau comportemental, les résultats ont révélé une meilleure performance chez les jeunes à risque de dépression majeure lorsqu’ils devaient éviter d’obtenir des pertes monétaires de magnitude variée (0,20$, 1$ ou 5$), ainsi qu’une meilleure performance chez les jeunes à risque de trouble bipolaire sur les essais impliquant d’éviter des pertes monétaires de magnitude nulle (0$). Au niveau neuronal, les jeunes à risque de dépression majeure démontraient une diminution de l’activation du cortex préfrontal dorsolatéral lors de l’anticipation de potentielles pertes monétaires de magnitude variée, tandis que les jeunes à risque de trouble bipolaire démontraient une diminution de l’activation du cortex préfrontal dorsolatéral lors de l’anticipation de potentielles pertes monétaires de magnitude nulle. De plus, les jeunes à risque de dépression majeure tendaient à démontrer une augmentation de l’activité du cortex orbitofrontal durant l’évitement réussi de pertes monétaires, tandis que les jeunes à risque de trouble bipolaire tendaient à démontrer une augmentation de l’activité du cortex orbitofrontal lors de l’obtention de pertes monétaires. Dans le deuxième article, l’intégrité structurelle des régions fronto-limbiques a été investiguée, au moyen de mesures du volume, de l’épaisseur corticale et de la superficie corticale. Les résultats ont mis en évidence, chez les jeunes à risque de trouble bipolaire, un volume plus élevé du cortex préfrontal dorsolatéral, par rapport aux jeunes à risque de dépression majeure et contrôles. De plus, les jeunes à risque de trouble bipolaire présentaient un volume plus élevé du cortex cingulaire postérieur, en comparaison aux jeunes à risque de dépression majeure. Enfin, une diminution de l’épaisseur corticale du cortex orbitofrontal et du gyrus frontal moyen a été observée chez les adolescents à risque de trouble bipolaire, en comparaison au groupe contrôle. L’ensemble de ces résultats démontre ainsi l’existence de particularités comportementales et d’altérations neuronales sur les plans fonctionnel et structurel, chez des jeunes à risque élevé de troubles de l’humeur, et ce, avant même l’émergence des premiers symptômes thymiques. Plus particulièrement, ces caractéristiques pourraient constituer des marqueurs du risque de développer un trouble de l’humeur. Par conséquent, ces marqueurs pourraient aider à mieux identifier les jeunes qui sont le plus à risque de développer un trouble de l’humeur, et ainsi permettre la mise en place précoce de stratégies préventives adaptées, afin d’éviter des trajectoires développementales psychopathologiques.

Corrélats neuronaux du circuit des récompenses chez les jeunes à risque parental de troubles de l'humeur

Cette thèse a pour objectif l’investigation du circuit des récompenses, sur les plans comportementaux et neuronaux, chez des adolescents à risque parental élevé de dépression majeure et de trouble bipolaire, en comparaison à des jeunes à risque parental peu élevé. Plus précisément, le but est d’identifier des marqueurs comportementaux et neuronaux du risque de développer une dépression majeure ou un trouble bipolaire, afin d’être en mesure de détecter et de prévenir ces troubles le plus tôt possible pour éviter, ou du moins retarder, leur émergence. Pour ce faire, nous avons réalisé deux études, présentées ici dans deux articles empiriques. Dans le premier article, le fonctionnement comportemental et neuronal du circuit des récompenses a été investigué au moyen d’une tâche d’anticipation et d’obtention de gains et de pertes monétaires, chez des adolescents à risque parental de dépression majeure (i.e., jeunes asymptomatiques dont un des parents souffre de dépression majeure), des adolescents à risque parental de trouble bipolaire (i.e., jeunes asymptomatiques dont un des parents souffre de trouble bipolaire) et des adolescents contrôles (i.e., jeunes asymptomatiques dont les deux parents sont en bonne santé mentale). Au niveau comportemental, les résultats ont révélé une meilleure performance chez les jeunes à risque de dépression majeure lorsqu’ils devaient éviter d’obtenir des pertes monétaires de magnitude variée (0,20$, 1$ ou 5$), ainsi qu’une meilleure performance chez les jeunes à risque de trouble bipolaire sur les essais impliquant d’éviter des pertes monétaires de magnitude nulle (0$). Au niveau neuronal, les jeunes à risque de dépression majeure démontraient une diminution de l’activation du cortex préfrontal dorsolatéral lors de l’anticipation de potentielles pertes monétaires de magnitude variée, tandis que les jeunes à risque de trouble bipolaire démontraient une diminution de l’activation du cortex préfrontal dorsolatéral lors de l’anticipation de potentielles pertes monétaires de magnitude nulle. De plus, les jeunes à risque de dépression majeure tendaient à démontrer une augmentation de l’activité du cortex orbitofrontal durant l’évitement réussi de pertes monétaires, tandis que les jeunes à risque de trouble bipolaire tendaient à démontrer une augmentation de l’activité du cortex orbitofrontal lors de l’obtention de pertes monétaires. Dans le deuxième article, l’intégrité structurelle des régions fronto-limbiques a été investiguée, au moyen de mesures du volume, de l’épaisseur corticale et de la superficie corticale. Les résultats ont mis en évidence, chez les jeunes à risque de trouble bipolaire, un volume plus élevé du cortex préfrontal dorsolatéral, par rapport aux jeunes à risque de dépression majeure et contrôles. De plus, les jeunes à risque de trouble bipolaire présentaient un volume plus élevé du cortex cingulaire postérieur, en comparaison aux jeunes à risque de dépression majeure. Enfin, une diminution de l’épaisseur corticale du cortex orbitofrontal et du gyrus frontal moyen a été observée chez les adolescents à risque de trouble bipolaire, en comparaison au groupe contrôle. L’ensemble de ces résultats démontre ainsi l’existence de particularités comportementales et d’altérations neuronales sur les plans fonctionnel et structurel, chez des jeunes à risque élevé de troubles de l’humeur, et ce, avant même l’émergence des premiers symptômes thymiques. Plus particulièrement, ces caractéristiques pourraient constituer des marqueurs du risque de développer un trouble de l’humeur. Par conséquent, ces marqueurs pourraient aider à mieux identifier les jeunes qui sont le plus à risque de développer un trouble de l’humeur, et ainsi permettre la mise en place précoce de stratégies préventives adaptées, afin d’éviter des trajectoires développementales psychopathologiques.

Structural connectivity based on diffusion Kurtosis imaging

Structural connectivity models based on Diffusion Tensor Imaging (DTI) are strongly affected by the technique’s inability to resolve crossing fibres, either intra- or inter-hemispherical connections. Several models have been proposed to address this issue, including an algorithm aiming to resolve crossing fibres which is based on Diffusion Kurtosis Imaging (DKI). This technique is clinically feasible, even when multi-band acquisitions are not available, and compatible with multi-shell acquisition schemes. DKI is an extension of DTI enabling the estimation of diffusion tensor and diffusion kurtosis metrics. In this study we compare the performance of DKI and DTI in performing structural brain connectivity. Six healthy subjects were recruited, aged between 25 and 35 (three females). The MRI experiments were performed using a 3T Siemens Trio with a 32-channel head coil. The scans included a T1-weighted sequence (1mm3), and a DWI with b-values 0, 1000 and 2000 s:mm

Volumetric alterations in the nucleus accumbens and caudate nucleus in bulimia nervosa: a structural magnetic resonance imaging study

Bulimia nervosa (BN) is an eating disorder characterized by recurrent episodes of binge eating and inappropriate compensatory behaviors (such as purging, fasting, or excessive exercise) to prevent weight gain. BN has been associated with deficits in inhibitory control processes. The basal ganglia specifically, the nucleus accumbens (NAc) and the caudate nucleus (CN) are part of the frontostriatal circuits involved in inhibitory control. The main goal of this study was to investigate the presence of morphological alterations in the NAc and the CN in a sample of patients diagnosed with BN.

Imaging of experience-dependent structural plasticity in the mouse neocortex in vivo

The functionality of adult neocortical circuits can be altered by novel experiences or learning. This functional plasticity appears to rely on changes in the strength of neuronal connections that were established during development. Here we will describe some of our studies in which we have addressed whether structural changes, including the remodeling of axons and dendrites with synapse formation and elimination, could underlie experience-dependent plasticity in the adult neocortex. Using 2-photon laser-scanning microscopes and transgenic mice expressing GFP in a subset of pyramidal cells, we have observed that a small subset of dendritic spines continuously appear and disappear on a daily basis, whereas the majority of spines persists for months. Axonal boutons from different neuronal classes displayed similar behavior, although the extent of remodeling varied. Under baseline conditions, new spines in the barrel cortex were mostly transient and rarely survived for more than a week. However, when every other whisker was trimmed, the generation and loss of persistent spines was enhanced. Ultrastructural reconstruction of previously imaged spines and boutons showed that new spines slowly form synapses. New spines persisting for a few days always had synapses, whereas very young spines often lacked synapses. New synapses were predominantly found on large, multi-synapse boutons, suggesting that spine growth is followed by synapse formation, preferentially on existing boutons. Altogether our data indicate that novel sensory experience drives the stabilization of new spines on subclasses of cortical neurons and promotes the formation of new synapses. These synaptic changes likely underlie experience-dependent functional remodeling of specific neocortical circuits.

Diffusion spectrum imaging shows the structural basis of functional cerebellar circuits in the human cerebellum in vivo.

BACKGROUND: The cerebellum is a complex structure that can be affected by several congenital and acquired diseases leading to alteration of its function and neuronal circuits. Identifying the structural bases of cerebellar neuronal networks in humans in vivo may provide biomarkers for diagnosis and management of cerebellar diseases. OBJECTIVES: To define the anatomy of intrinsic and extrinsic cerebellar circuits using high-angular resolution diffusion spectrum imaging (DSI). METHODS: We acquired high-resolution structural MRI and DSI of the cerebellum in four healthy female subjects at 3T. DSI tractography based on a streamline algorithm was performed to identify the circuits connecting the cerebellar cortex with the deep cerebellar nuclei, selected brainstem nuclei, and the thalamus. RESULTS: Using in-vivo DSI in humans we were able to demonstrate the structure of the following cerebellar neuronal circuits: (1) connections of the inferior olivary nucleus with the cerebellar cortex, and with the deep cerebellar nuclei (2) connections between the cerebellar cortex and the deep cerebellar nuclei, (3) connections of the deep cerebellar nuclei conveyed in the superior (SCP), middle (MCP) and inferior (ICP) cerebellar peduncles, (4) complex intersections of fibers in the SCP, MCP and ICP, and (5) connections between the deep cerebellar nuclei and the red nucleus and the thalamus. CONCLUSION: For the first time, we show that DSI tractography in humans in vivo is capable of revealing the structural bases of complex cerebellar networks. DSI thus appears to be a promising imaging method for characterizing anatomical disruptions that occur in cerebellar diseases, and for monitoring response to therapeutic interventions.

Altered structural connectivity in patients with medial temporal lobe epilepsy: A Diffusion Spectrum Imaging and Graph Analysis study

In this study we investigated the effect of medial temporal lobe epilepsy (MTLE) on the global characteristics of brain connectivity estimated by topological measures. We used DSI (Diffusion Spectrum Imaging) to construct a connectivity matrix where the nodes represents the anatomical ROIs and the edges are the connections between any pair of ROIs weighted by the mean GFA/FA values. A significant difference was found between the patient group vs control group in characteristic path length, clustering coefficient and small-worldness. This suggests that the MTLE network is less efficient compared to the network of the control group.

In-vivo magnetic resonance imaging of the structural core of the Papez circuit in humans.

Papez circuit is one of the major pathways of the limbic system, and it is involved in the control of memory and emotion. Structural and functional alterations have been reported in psychiatric, neurodegenerative, and epileptic diseases. Despite the clinical interest, however, in-vivo imaging of the entire circuit remains a technological challenge. We used magnetic resonance diffusion spectrum imaging to comprehensively picture the Papez circuit in healthy humans: (i) the hippocampus-mammillary body pathway, (ii) the connections between the lateral subiculum and the cingulate cortex, and (iii) the mammillo-thalamic tract. The diagnostic and therapeutic implications of these results are discussed in the context of recent findings reporting the involvement of the Papez circuit in neurological and psychiatric diseases.

Robust T1-Weighted Structural Brain Imaging and Morphometry at 7T Using MP2RAGE.

PURPOSE: To suppress the noise, by sacrificing some of the signal homogeneity for numerical stability, in uniform T1 weighted (T1w) images obtained with the magnetization prepared 2 rapid gradient echoes sequence (MP2RAGE) and to compare the clinical utility of these robust T1w images against the uniform T1w images. MATERIALS AND METHODS: 8 healthy subjects (29.0±4.1 years; 6 Male), who provided written consent, underwent two scan sessions within a 24 hour period on a 7T head-only scanner. The uniform and robust T1w image volumes were calculated inline on the scanner. Two experienced radiologists qualitatively rated the images for: general image quality; 7T specific artefacts; and, local structure definition. Voxel-based and volume-based morphometry packages were used to compare the segmentation quality between the uniform and robust images. Statistical differences were evaluated by using a positive sided Wilcoxon rank test. RESULTS: The robust image suppresses background noise inside and outside the skull. The inhomogeneity introduced was ranked as mild. The robust image was significantly ranked higher than the uniform image for both observers (observer 1/2, p-value = 0.0006/0.0004). In particular, an improved delineation of the pituitary gland, cerebellar lobes was observed in the robust versus uniform T1w image. The reproducibility of the segmentation results between repeat scans improved (p-value = 0.0004) from an average volumetric difference across structures of ≈6.6% to ≈2.4% for the uniform image and robust T1w image respectively. CONCLUSIONS: The robust T1w image enables MP2RAGE to produce, clinically familiar T1w images, in addition to T1 maps, which can be readily used in uniform morphometry packages.

Diffusion tensor imaging shows structural remodeling of stroke mirror region: results from a pilot study.

Background: The role of the non-injured hemisphere in stroke recovery is poorly understood. In this pilot study, we sought to explore the presence of structural changes detectable by diffusion tensor imaging (DTI) in the contralesional hemispheres of patients who recovered well from ischemic stroke. Methods: We analyzed serial DTI data from 16 stroke patients who had moderate initial neurological deficits (NIHSS scores 3-12) and good functional outcome at 3-6 months (NIHSS score 0 or modified Rankin Score ≤1). We segmented the brain tissue in gray and white matter (GM and WM) and measured the apparent diffusion coefficient (ADC) and fractional anisotropy in the infarct, in the contralesional infarct mirror region as well as in concentrically expanding regions around them. Results: We found that GM and WM ADC significantly increased in the infarct region (p < 0.01) from acute to chronic time points, whereas in the infarct mirror region, GM and WM ADC increased (p < 0.01) and WM fractional anisotropy decreased (p < 0.05). No significant changes were detected in other regions. Conclusion: DTI-based metrics are sensitive to regional structural changes in the contralesional hemisphere during stroke recovery. Prospective studies in larger cohorts with varying levels of recovery are needed to confirm our findings.

Diffusion Spectrum Imaging after stroke shows structural changes in the contra-lateral motor network correlating with functional recovery

There is growing interest in understanding the role of the non-injured contra-lateral hemisphere in stroke recovery. In the experimental field, histological evidence has been reported that structural changes occur in the contra-lateral connectivity and circuits during stroke recovery. In humans, some recent imaging studies indicated that contra-lateral sub-cortical pathways and functional and structural cortical networks are remodeling, after stroke. Structural changes in the contra-lateral networks, however, have never been correlated to clinical recovery in patients. To determine the importance of the contra-lateral structural changes in post-stroke recovery, we selected a population of patients with motor deficits after stroke affecting the motor cortex and/or sub-cortical motor white matter. We explored i) the presence of Generalized Fractional Anisotropy (GFA) changes indicating structural alterations in the motor network of patientsâeuro? contra-lateral hemisphere as well as their longitudinal evolution ii) the correlation of GFA changes with patientsâeuro? clinical scores, stroke size and demographics data iii) and a predictive model.

Cerebellar cortical layers: in vivo visualization with structural high-field-strength MR imaging.

Purpose: To perform in vivo imaging of the cerebellum with an in-plane resolution of 120 mm to observe its cortical granular and molecular layers by taking advantage of the high signal-to-noise ratio and the increased magnetic susceptibility-related contrast available at high magnetic field strength such as 7 T. Materials and Methods: The study was approved by the institutional review board, and all patients provided written consent. Three healthy persons (two men, one woman; mean age, 30 years; age range, 28-31 years) underwent MR imaging with a 7-T system. Gradient-echo images (repetition time msec/echo time msec, 1000/25) of the human cerebellum were acquired with a nominal in-plane resolution of approximately 120 mum and a section thickness of 1 mm. Results: Structures with dimensions as small as 240 mum, such as the granular and molecular layers in the cerebellar cortex, were detected in vivo. The detection of these structures was confirmed by comparing the contrast obtained on T2*-weighted and phase images with that obtained on images of rat cerebellum acquired at 14 T with 30 mum in-plane resolution. Conclusion: In vivo cerebellar imaging at near-microscopic resolution is feasible at 7 T. Such detailed observation of an anatomic area that can be affected by a number of neurologic and psychiatric diseases, such as stroke, tumors, autism, and schizophrenia, could potentially provide newer markers for diagnosis and follow-up in patients with such pathologic conditions. (c) RSNA, 2010.

Automatic quality assessment in structural brain magnetic resonance imaging

MRI has evolved into an important diagnostic technique in medical imaging. However, reliability of the derived diagnosis can be degraded by artifacts, which challenge both radiologists and automatic computer-aided diagnosis. This work proposes a fully-automatic method for measuring image quality of three-dimensional (3D) structural MRI. Quality measures are derived by analyzing the air background of magnitude images and are capable of detecting image degradation from several sources, including bulk motion, residual magnetization from incomplete spoiling, blurring, and ghosting. The method has been validated on 749 3D T(1)-weighted 1.5T and 3T head scans acquired at 36 Alzheimer's Disease Neuroimaging Initiative (ADNI) study sites operating with various software and hardware combinations. Results are compared against qualitative grades assigned by the ADNI quality control center (taken as the reference standard). The derived quality indices are independent of the MRI system used and agree with the reference standard quality ratings with high sensitivity and specificity (>85%). The proposed procedures for quality assessment could be of great value for both research and routine clinical imaging. It could greatly improve workflow through its ability to rule out the need for a repeat scan while the patient is still in the magnet bore.