Parkinson’s disease patients present with the highest risk of dementia development. The thalamus, integral to several functions and behaviours is involved in the pathophysiology of Parkinson’s disease. The aim of this thesis was to determine if anatomical abnormalities in the thalamus are associated with the development of dementia in Parkinson’s disease. We examined the thalamus using macro and microstructural techniques and the white matter pathways that connect the thalamus with areas of the surrounding cortex using diffusion tensor imaging (DTI) based tractography. T1-weighted magnetic resonance and DT images were collected in 56 Parkinson’s disease patients with no cognitive impairment, 19 patients with mild cognitive impairment, 17 patients with dementia and 25 healthy individuals who acted as control subjects. An established automated segmentation procedure (FIRST FSL) was used to delineate the thalamus and a modified k-means clustering algorithm applied to segment the thalamus into clusters assumed to represent thalamic nuclei. Fibre tracts were determined using DTI probabilistic tracking methods available in FIRST. Microstructural integrity was quantified by fractional anisotropy and mean diffusivity (MD) DTI measures. Results show that microstructural measures of thalamic integrity are more sensitive to cognitive dysfunction in PD than macrostructural measures. For the first time we showed a progressive worsening of cellular integrity (MD) in the groups who had greater levels of cognitive dysfunction. Thalamic degeneration was regionally specific and most advanced in the limbic thalamic nuclei which influenced executive function and attention, areas of cognition that are known to be affected in the earliest stages of PD. The integrity of the fibre tracts corresponding to these thalamic regions was also compromised. Degeneration of fibre tracts was most evident in the dementia group, indicating that they may be more protected against Lewy pathology than the nuclei of the thalamus. Our findings confirm previous histological, animal and lesion studies and provide a reliable estimate of cortical degeneration in PD that can be applied non-invasively and in vivo. A longitudinal study is needed to monitor the progression of cognitive decline in PD but we have provided the basis for further investigation into the predictive validity of thalamic degeneration for cognitive dysfunction. In the future, the microstructural changes of the thalamus could be used as biomarkers for the identification of individuals with a higher risk for dementia development and for the longitudinal monitoring of any interventions into cognitive decline.

The objective of this thesis is to provide a complete pipeline that achieves an accurate reconstruction of the white matter fascicles using clinical diffusion images characterized by a low angular resolution. This involves (i) a diffusion model inferred in each voxel from the diffusion images and (ii) a tractography algorithm fed with these local models to perform the actual reconstruction of fascicles. Our contribution in diffusion modeling is a new statistical distribution, the properties of which are extensively studied. We model the diffusion as a mixture of such distributions, for which we design a model selection tool that estimates the number of mixture components. We show that the model can be accurately estimated from single shell low angular resolution diffusion images and that it provides specific biomarkers for studying tumors. Our contribution in tractography is an algorithm that approximates the distribution of fascicles emanating from a seed voxel. We achieve that by means of a particle filter better adapted to multi-modal distributions than the traditional filters. To demonstrate the clinical applicability of our tools, we participated to all three editions of the MICCAI DTI Tractography challenge aiming at reconstructing the cortico-spinal tract from single-shell low angular and low spatial resolution diffusion images. Results show that our pipeline provides a reconstruction of the full extent of the CST.

Diffusion tensor imaging (DTI) is a specialist MRI modality that can identify microstructural changes or abnormalities in the brain. It can also be used to show fibre tract pathways. Both of these features were used in this thesis. Firstly, standard imaging analysis techniques were used to study the effects of mild, repetitive closed head injury on a group of professional boxers. Such data is extremely rare, so the findings of regions of brain abnormalities in the boxers are important, adding to the body of knowledge about more severe traumatic brain injury. The author developed a novel multivariate analysis technique which was used on the same data. This new technique proved to be more sensitive than the standard univariate methods commonly used. An important part of diagnosing and monitoring brain damage involves the use of biomarkers. A novel investigation of whether diffusion parameters obtained from DTI data could serve as bio-markers of cognitive impairment in Parkinson's disease was conducted. This also involved developing a multivariate approach, which displayed increased sensitivity compared with any of the component parameters used singly, and suggested these diffusion measures could be robust bio-markers of cognitive impairment. Fibre tract connectivity between regions of the brain is also a potentially valuable measure for diagnosis and monitoring brain integrity. The feasibility of this was investigated in a multi-modal MRI study. Functional MRI (fMRI) identifies regions of activation associated with a particular task. DTI can then find the pathway of the fibre bundles connecting these regions. The feasibility of using regional connectivity to interrogate brain integrity was investigated using a single healthy volunteer. Fibre pathways between regions activated and deactivated by a working memory paradigm were determined. Though the results are only preliminary, they suggest that this line of research should be continued.

The primate visual system is organised and wired in a topological manner. From the eye well into extrastriate visual cortex, a preserved spatial representation of the vi- sual world is maintained across many levels of processing. Diffusion-weighted imaging (DWI), together with probabilistic tractography, is a non-invasive technique for map- ping connectivity within the brain. In this thesis I probed the sensitivity and accuracy of DWI and probabilistic tractography by quantifying its capacity to detect topolog- ical connectivity in the post mortem macaque brain, between the lateral geniculate nucleus (LGN) and primary visual cortex (V1). The results were validated against electrophysiological and histological data from previous studies. Using the methodol- ogy developed in this thesis, it was possible to segment the LGN reliably into distinct subregions based on its structural connectivity to different parts of the visual field represented in V1. Quantitative differences in connectivity from magno- and parvo- cellular subcomponents of the LGN to different parts of V1 could be replicated with this method in post mortem brains. The topological corticocortical connectivity be- tween extrastriate visual area V5/MT and V1 could also be mapped in the post mortem macaque. In vivo DWI scans previously obtained from the same brains have lower resolution and signal-to-noise because of the shorter scan times. Nevertheless, in many cases, these yielded topological maps similar to the post mortem maps. These results indicate that the preserved topology of connection between LGN to V1, and V5/MT to V1, can be revealed using non-invasive measures of diffusion-weighted imaging and tractography in vivo. In a preliminary investigation using Human Connectome data obtained in vivo, I was not able to segment the retinotopic map in LGN based on con- nections to V1. This may be because information about the topological connectivity is not carried in the much lower resolution human diffusion data, or because of other methodological limitations. I also investigated the mechanisms of perceptual learning by developing a novel task-irrelevant perceptual learning paradigm designed to adapt neuronal elements early on in visual processing in a certain region of the visual field. There is evidence, although not clear-cut, to suggest that the paradigm elicits task- irrelevant perceptual learning, but that these effects only emerge when practice-related effects are accounted for. When orientation and location specific effects on perceptual performance are examined, the largest improvement occurs at the trained location, however, there is also significant improvement at one other 'untrained' location, and there is also a significant improvement in performance for a control group that did not receive any training at any location. The work highlights inherent difficulties in inves- tigating perceptual learning, which relate to the fact that learning likely takes place at both lower and higher levels of processing, however, the paradigm provides a good starting point for comprehensively investigating the complex mechanisms underlying perceptual learning.

Cette thèse a pour but de développer des techniques en imagerie par résonance magnétique(IRM) afin de détecter des altérations neurologiques à l’échelle microscopique dans des modèlesanimaux. Deux modèles chez la souris ont été étudiés en particulier: le modèle Glio6 de glioblastomehumain et le modèle MAP6, apparenté à la schizophrénie. Les méthodologies développées ont étécentrées autour de l’IRM du tenseur de diffusion (DTI) 3D rapide et à haute résolution spatiale pourdes applications ex vivo et in vivo chez le rongeur. Dans le modèle Glio6, la migration de cellulestumorales dans le corps calleux a été précocement détectée et quantifiée alors qu’aucun signe n’étaitvisible sur les IRM anatomiques classiques. La tractographie, imagerie des fibres de la matièreblanche, a permis d’identifier des déficits de certains tracts et de leurs connectivités dans le modèleMAP6. Des altérations inhomogènes ont été détectées, avec en particulier une réduction drastique dela voie cortico-spinale, résultats mettant en exergue le rôle primordial de la protéine MAP6 lors de laneuromorphogénèse. La méthode « Super Résolution » développée puis appliquée in vivo aux sourisMAP6, a permis d’obtenir en moins d’une heure une imagerie de tractographie comparable à celleobtenue ex vivo (en 59h), ce qui ouvre la voie à des suivis longitudinaux in vivo pour des études dudéveloppement du cerveau ou de l’évaluation de nouvelles thérapies. D’autre part, une méthode IRMcellulaire in vivo quantitative a été mise en place. Le principe repose sur la mesure combinée desrelaxivités cellulaires in vitro (pouvoir à réduire les temps de relaxation T2*, T2 et T1) pour convertir lestrois paramètres de la relaxation in vivo en concentrations cellulaires. En utilisant le modèle de gliomeU87 et des cellules U937 marquées magnétiquement, les résultats ont montré qu’une très large gammede concentrations cellulaires peut être quantifiée et que la biodistribution des cellules U937 autour dela tumeur est hétérogène, information essentielle pour étudier l’efficacité d’une thérapie cellulaire. / This thesis aims to develop magnetic resonance imaging (MRI) techniques to detectneurological damage at the microscopic level in animal models. Two mouse models were examined inparticular human glioblastoma model (Glio6) and a schizophrenia mouse model (MAP6 model). Themethodologies developed were centered around 3D fast diffusion tensor imaging (DTI) with highspatial resolution for ex vivo and in vivo applications in rodents. In Glio6 model, the migration oftumor cells in the corpus callosum was early detected and quantified while no signs were visible onconventional anatomical MRI. Tractography identified deficits of some tracts and their connectivity inthe MAP6 model. Inhomogeneous alterations were detected, especially with a drastic reduction of thecorticospinal pathway. Theses results highlight the crucial role of the MAP6 protein in the braindevelopment. The "Super Resolution" post-proccesing was developed and applied in vivo to MAP6mouse model. Tractography imaging comparable to that obtained ex vivo (in 59h) was obtained in lessthan one hour, paving the way for in vivo longitudinal studies as brain development studies orevaluation of new therapies. On the other hand, a in vivo cellular MRI method has been established.The principle is based on the combined measurement of cell relaxivities in vitro, to obtain in vivo cellconcentrations based on relaxation parameters. Using the U87 glioma model and U937 magneticallylabeled cells, the results showed that a wide range of cell concentrations can be quantified and thebiodistribution of U937 cells around the tumor is heterogeneous, information essential to study theeffectiveness of cell therapy.

La validation des algorithmes de tractographie et l’optimisation des paramètres choisis en référence à une vérité terrain, sont primordiales avant l’utilisation de ces méthodes en routine clinique. D’une part, nous présentons une méthode de comparaison quantitative de reconstructions issues de la tractographie à celles reconstruites depuis la dissection par un scanner laser. Cette comparaison permet d’évaluer les reconstructions de différents modèles et algorithmes de tractographie (déterministe, probabiliste) en les confrontant à une vérité terrain acquise par le scanner laser (surfaces triangulées). La transformation des données sous des formats communs était nécessaire avant leur comparaison quantitative. Deux méthodes de comparaison, surface-surface et volume-volume ont été proposées. D’autre part, nous présentons une méthode d’optimisation par algorithme génétique (AG), des paramètres de tractographie déterministe. L’AG est un algorithme itératif d’optimisation basé sur la sélection naturelle, il est capable d’optimiser des problèmes complexes ayant plusieurs paramètres. Etant donné la vérité terrain d’un faisceau, l’AG se propose de trouver le jeu de paramètres optimal donnant le meilleur résultat de tractographie. Les méthodes de comparaisons et d’optimisation ont été appliquées à un faisceau d’objet test puis à deux faisceaux disséqués à partir d’un cerveau humain post mortem après acquisitions IRM et scanner laser. / Tractography validation and optimization of tracking parameters against a ground truth are mandatory before a large clinical use. First, we present a method to quantitatively compare tractography reconstructions to a ground truth derived from laser scanner acquisitions of dissected specimens. This comparison allows evaluation of multiple models and tractography approaches (deterministic, probabilistic…). The ground truth used for this comparison was acquired from dissected specimens using a surface laser scanner, which produces triangulated surface meshes. Data transformation to a common format was necessary before quantitative comparisons. Two comparison methods were proposed, surface-to-surface and volume-to-volume. Second, we propose a method for automatic optimization of deterministic tractography parameters using a genetic algorithm (GA). The GA is an iterative optimization algorithm based on natural selection, which is able to optimize complex problems having several parameters. For a given ground truth fasciculus, the GA was expected to find the set of tractography parameters producing the best tractography result according to the ground truth. The comparison and optimization methods were applied to a synthetic bundle derived from a phantom and to two dissected white matter tracts of a human post mortem brain.

Résumé : L'imagerie par résonance magnétique pondérée en diffusion est une modalité unique sensible aux mouvements microscopiques des molécules d'eau dans les tissus biologiques. Il est possible d'utiliser les caractéristiques de ce mouvement pour inférer la structure macroscopique des faisceaux de la matière blanche du cerveau. La technique, appelée tractographie, est devenue l'outil de choix pour étudier cette structure de façon non invasive. Par exemple, la tractographie est utilisée en planification neurochirurgicale et pour le suivi du développement de maladies neurodégénératives. Dans cette thèse, nous exposons certains des biais introduits lors de reconstructions par tractographie, et des méthodes sont proposées pour les réduire. D'abord, nous utilisons des connaissances anatomiques a priori pour orienter la reconstruction. Ainsi, nous montrons que l'information anatomique sur la nature des tissus permet d'estimer des faisceaux anatomiquement plausibles et de réduire les biais dans l'estimation de structures complexes de la matière blanche. Ensuite, nous utilisons des connaissances microstructurelles a priori dans la reconstruction, afin de permettre à la tractographie de suivre le mouvement des molécules d'eau non seulement le long des faisceaux, mais aussi dans des milieux microstructurels spécifiques. La tractographie peut ainsi distinguer différents faisceaux, réduire les erreurs de reconstruction et permettre l'étude de la microstructure le long de la matière blanche. Somme toute, nous montrons que l'utilisation de connaissances anatomiques et microstructurelles a priori, en tractographie, augmente l'exactitude des reconstructions de la matière blanche du cerveau. / Abstract : Diffusion-weighted magnetic resonance imaging is a unique imaging modality sensitive to the microscopic movement of water molecules in biological tissues. By characterizing the movement of water molecules, it is possible to infer the macroscopic neuronal pathways of the brain. The technique, so-called tractography, had become the tool of choice to study non-invasively the human brain's white matter in vivo. For instance, it has been used in neurosurgical intervention planning and in neurodegenerative diseases monitoring. In this thesis, we report biases from current tractography reconstruction and suggest methods to reduce them. We first use anatomical priors, derived from a high resolution T1-weighted image, to guide tractography. We show that knowledge of the nature of biological tissue helps tractography to reconstruct anatomically valid neuronal pathways, and reduces biases in the estimation of complex white matter regions. We then use microstructural priors, derived from the state-of-the-art diffusion-weighted magnetic resonance imaging protocol, in the tractography reconstruction process. This allows tractography to follow the movement of water molecules not only along neuronal pathways, but also in a microstructurally specific environment. Thus, the tractography distinguishes more accurately neuronal pathways and reduces reconstruction errors. Moreover, it provides the means to study white matter microstructure characteristics along neuronal pathways. Altogether, we show that anatomical and microstructural priors used during the tractography process improve brain's white matter reconstruction.

L’IRM de diffusion (IRMd) est une modalité d’imagerie médicale in vivo qui suscite un intérêt croissant dans la communauté de neuro-imagerie. L’information sur l’intra-structure des tissus cérébraux est apportée en complément des informations de structure issues de l’IRM structurelle (IRMs). Ces modalités d’imagerie ouvrent ainsi une nouvelle voie pour l’analyse de population et notamment pour l’étude de la maturation cérébrale humaine normale in utero. La modélisation et la caractérisation des changements rapides intervenant au cours de la maturation cérébrale est un défi actuel. Dans ce but, ce mémoire de thèse présente une chaîne de traitement complète de la modélisation spatio-temporelle de la population à l’analyse des changements de forme au cours du temps. Les contributions se répartissent sur trois points. Tout d’abord, l’utilisation de filtre à particules étendus aux modèles d’ordre supérieurs pour la tractographie a permis d’extraire des descripteurs plus pertinents chez le foetus, utilisés ensuite pour estimer les transformations géométriques entre images. Ensuite, l’emploi d’une technique de régression non-paramétrique a permis de modéliser l’évolution temporelle moyenne du cerveau foetal sans imposer d’à priori. Enfin, les changements de forme sont mis en évidence au moyen de méthodes d’extraction et de sélection de caractéristiques. / Diffusion weighted MRI (dMRI) is an in vivo imaging modality which raises a great interest in the neuro-imaging community. The intra-structural information of cerebral tissues is provided in addition to the morphological information from structural MRI (sMRI). These imaging modalities bring a new path for population studies, especially for the study in utero of the normal humanbrain maturation. The modeling and the characterization of rapid changes in the brain maturation is an actual challenge. For these purposes, this thesis memoir present a complete processing pipeline from the spatio-temporal modeling of the population to the changes analyze against the time. The contributions are about three points. First, the use of high order diffusion models within a particle filtering framework allows to extract more relevant descriptors of the fetal brain, which are then used for image registration. Then, a non-parametric regression technique was used to model the temporal mean evolution of the fetal brain without enforce a prior knowledge. Finally, the shape changes are highlighted using features extraction and selection methods.

L'évolution des connaissances dans le domaine de la neurochirurgie fonctionnelle, la neuroradiologie et les études de traçage neuronal par virus neurotropes ont permis d'étudier les circuits sous-tendant l'expression clinique de plusieurs syndromes neurologiques. La stimulation cérébrale profonde (SCP) du globus pallidus interne (GPi) est une thérapie validée dans les syndromes dystono-dyskinétiques (SDD) isolés. L'extension des indications vers des SDD secondaires ou hérédo-dégénératifs nous confronte à la nécessité d'améliorer notre compréhension des mécanismes de réorganisation fonctionnelle du circuit moteur et de l'intégrité résiduelle des connexions anatomiques. L'efficacité de la SCP dans les SDD complexes est déterminée par la préservation relative de la voie pyramidale, les interactions du circuit cortico-striato-pallido-thalamique et cérébello-thalamo-cortical et la réorganisation du réseau moteur au niveau cortical. Ce travail de thèse a essayé d’évaluer différentes composantes du réseau moteur in vivo chez l’homme à travers de l’étude de trois pathologies du mouvement associées à un SDD complexe. L’application de la SCP à la maladie de Huntington (MH) est un modèle d'étude du réseau moteur dans le contexte d’un SDD associé à une dégénérescence des neurones striato-pallidaux. Nous avons fait une étude prospective pour évaluer l'efficacité à long terme de la SCP du GPi sur les symptômes moteurs de la MH. Sept patients ayant une chorée sévère réfractaire au traitement pharmacologique ont été inclus dans l'étude. Nous avons observé une réduction significative de la chorée chez tous les patients avec un effet maintenu dans le temps (suivi médian de 3 ans). La bradykinésie et la dystonie ont montré une tendance (non significative) à une aggravation progressive. L'analyse anatomo-fonctionnelle du réseau moteur résiduel sous-tendant un SDD secondaire (dû à une lésion cérébrale acquise) a été abordée par deux techniques de neuroimagerie avancée. La réorganisation du circuit moteur dans le cadre d’une hémidystonie a été évaluée par IRM fonctionnelle. Les objectifs principaux ont été: 1) l’évaluation des régions activées par l'exécution d’une tâche motrice chez un groupe de patients hémidystoniques par rapport à un groupe de sujets témoins; 2) l’identification des profils d'activation selon le phénotype clinique (hypo/hyperkinétique) ou radiologique (lésion localisée en amont ou en aval du GPi) (des critères qui orientent l’éligibilité pour la SCP pallidale). Les études individuelles des patients ont montré des profils d'activation hétérogènes avec une activation bilatérale possible malgré le caractère unilatéral des lésions. En comparaison avec les sujets témoins, les patients ont présenté une réduction de l'activation au niveau thalamique, pallidal et temporal médial du côté ipsilatéral à la lésion. Les patients atteints d'une hémidystonie hypokinétique ont montré un profil d'activation bi-hémisphérique, désorganisé, ce qui pourrait expliquer le manque de réponse à la SCP observée dans cette présentation clinique. L'imagerie du tenseur de diffusion (DTI) a été appliquée à l'étude de la distribution topographique et la gravité des lésions de la substance blanche d'un groupe de patients atteints d'un SDD secondaire à une encéphalopathie anoxique néonatale par rapport à un groupe témoin. L'étude TBSS (tract based spatial statistics) a identifié la présence d'anomalies diffuses de la microstructure de la substance blanche (diminution de la fraction d’anisotropie (FA)) chez les patients. La technique de tractographie probabiliste a été utilisée pour reconstruire les faisceaux corticospinaux (CS) et thalamocorticaux (TC) (les voies efférentes du circuit moteur) et pour obtenir des paramètres quantitatifs DTI moyens pour chaque faisceau. La FA moyenne des faisceaux TC est diminuée chez les patients. Nous avons étudié la corrélation entre les paramètres cliniques et neurophysiologiques et les paramètres DTI du groupe de patients. / Advances in the field of functional neurosurgery, neuroradiology and virus neuronal tracing studies have enabled to deepen our knowledge of the circuits underlying the clinical expression of several neurologic syndromes. Globus pallidus internus (GPi) deep brain stimulation (DBS) is a validated technique for the treatment of isolated (primary) dystonia-dyskinesia syndromes (DDS). Broadening indications for DBS therapy to complex DDS (secondary and heredodegenerative disorders) require further understanding of motor circuit functional reorganization mechanisms and residual anatomic connections integrity. The efficacy of neuromodulation in these complex dystonia syndromes is determined by the relative preservation of pyramidal pathway, the interactions between cortico-striato-pallido-thalamic and cerebello-thalamo-cortical circuits and motor network reorganization at the cortical level. This thesis has tried to evaluate the different components of human motor network in vivo through the study of three different movement disorders associated with complex dystonia. The application of DBS to Huntington’s disease (HD) is a model for the study of the motor network in the context of this heredodegenerative DDS associated with striatal neuron degeneration in the cortico-striato-pallido-thalamic loop. We have conducted a prospective study to evaluate long-term motor outcome of GPi DBS in HD. Seven patients with severe chorea refractory to medical treatment were included in the study. Significant and sustained reduction of chorea was observed for all patients until last follow-up visit (median follow-up was 3 years). Bradykinesia and dystonia showed a non-significant trend towards progressive worsening. Anatomic and functional assessment of the motor circuit following brain injury (secondary DDS) has been approached by two different advanced neuroimaging techniques. We have studied motor circuit reorganization underlying hemidystonia in functional magnetic resonance imaging (fMRI). The main objectives of this study were: 1) to evaluate activation regions associated with motor task execution in a group of hemidystonic patients compared with another group of healthy control subjects; 2) to identify activation patterns related to clinical (hypo or hyperkinetic) or radiological (prepallidal or postpallidal) phenotypes (following clinical criteria relevant for DBS therapy eligibility). Activation patterns associated with motor-task execution were heterogeneous in single-subject studies. Despite the unilateral distribution of lesions leading to dystonia, bilateral activation was found in several subjects. Compared with healthy control group, hemidystonic patients showed reduced brain activation in ipsilesional thalamus, globus pallidus and medial temporal areas. Hypokinetic hemidystonic subgroup showed widespread bilateral overactivity involving both hemispheres. Poor clinical outcome associated with this clinical presentation could be explained by DBS therapy inability to modulate a highly disorganized network. Diffusion tensor imaging (DTI) has been applied to the study of the topographic distribution and severity of white matter lesions in a group of patients with a DDS secondary to neonatal anoxic encephalopathy in comparison with a healthy control group. TBSS (tract based spatial statistics) found widespread areas of abnormal white matter microstructure (decreased fractional anisotropy (FA)) in the corpus callosum, corona radiata and posterior limb of the internal capsule in the group of patients. After running probabilistic tractography to reconstruct corticospinal and thalamocortical tracts (motor circuit output pathways), mean quantitative tract-derived DTI parameters were calculated for each single tract. This study found decreased mean FA in thalamocortical tracts in the group of patients as compared to healthy controls. Clinical scores and neurophysiological measures were also analyzed and correlated with DTI parameters.

Background. Resilience is the capacity of individuals to resist mental disorders despite exposure to stress. Little is known about its neural underpinnings. The putative variation of white-matter microstructure with resilience in adolescence, a critical period for brain maturation and onset of high-prevalence mental disorders, has not been assessed by diffusion tensor imaging (DTI). Lower fractional anisotropy (FA) though, has been reported in the corpus callosum (CC), the brain’s largest white-matter structure, in psychiatric and stress-related conditions. We hypothesized that higher FA in the CC would characterize stress-resilient adolescents. Method. Three groups of adolescents recruited from the community were compared: resilient with low risk of mental disorder despite high exposure to lifetime stress (n = 55), at-risk of mental disorder exposed to the same level of stress (n = 68), and controls (n = 123). Personality was assessed by the NEO-Five Factor Inventory (NEO-FFI). Voxelwise statistics of DTI values in CC were obtained using tract-based spatial statistics. Regional projections were identified by probabilistic tractography. Results. Higher FA values were detected in the anterior CC of resilient compared to both non-resilient and control adolescents. FA values varied according to resilience capacity. Seed regional changes in anterior CC projected onto anterior cingulate and frontal cortex. Neuroticism and three other NEO-FFI factor scores differentiated non-resilient participants from the other two groups. Conclusion. High FA was detected in resilient adolescents in an anterior CC region projecting to frontal areas subserving cognitive resources. Psychiatric risk was associated with personality characteristics. Resilience in adolescence may be related to white-matter microstructure.