Lésions cérébrales du prématuré et techniques d'imagerie à visée pronostique du développement neurocognitif [Cerebral brain injury in preterm infants and the role of neuroimaging in predicting neurodevelopmental outcomes].

Due to advances in neonatal intensive care over the last decades, the pattern of brain injury seen in very preterm infants has evolved in more subtle lesions that are still essential to diagnose in regard to neurodevelopmental outcome. While cranial ultrasound is still used at the bedside, magnetic resonance imaging (MRI) is becoming increasingly used in this population for the assessment of brain maturation and white and grey matter lesions. Therefore, MRI provides a better prognostic value for the neurodevelopmental outcome of these preterms. Furthermore, the development of new MRI techniques, such as diffusion tensor imaging, resting state functional connectivity and magnetic resonance spectroscopy, may further increase the prognostic value, helping to counsel parents and allocate early intervention services.

Multimodal evaluation for medical image segmentation

This paper is a joint effort between five institutionsthat introduces several novel similarity measures andcombines them to carry out a multimodal segmentationevaluation. The new similarity measures proposed arebased on the location and the intensity values of themisclassified voxels as well as on the connectivity andthe boundaries of the segmented data. We showexperimentally that the combination of these measuresimprove the quality of the evaluation. The study that weshow here has been carried out using four differentsegmentation methods from four different labs applied toa MRI simulated dataset of the brain. We claim that ournew measures improve the robustness of the evaluation andprovides better understanding about the differencebetween segmentation methods.

A study of the translational regulation exerted by some neuroactive substances on the expression of the monocarboxylate transporter MCT2 in cultured cortical neurons

Summary of the thesis Glucose has been considered the major, if not the exclusive, energy substrate for the brain. But under certain conditions other substrates, namely monocarboxylates (lactate, pyruvate, and ketone bodies), can contribute significantly to satisfy brain energy demands. These monocarboxylates need to be transported across the blood brain barrier as well as out of astrocytes into the extracellular space and taken up into neurons. It has been shown that monocarboxylates are transported by a family of proton-linked transporters called monocarboxylate transporters (MCTs). In the central nervous system, MCT2 is the predominant neuronal form and little is known about the regulation of its expression. The neurotransmitter noradrenaline (NA) was shown previously to enhance the expression of MCT2 in cultured cortical neurons via a translational mechanism. Here, we demonstrate that two other substances, namely, insulin and IGF-1 enhance MCT2 protein expression in cultured mouse cortical neurons in a time- and concentrationdependent manner without affecting MCT2 mRNA levels. This result confirmed that MCT2 protein expression is translationally regulated and extend the observation to different types of neuroactive substances. Then we sought to determine by which signaling pathway(s) NA, insulin and IGF-1 can induce MCT2 protein expression. First, we observed by Western blot that all three substances cause activation of the MAP kinase ERK as well as the kinase Akt via their phosphorylation. Moreover, the mTOR/S6K pathway which is known to play an important role in translation initiation regulation was also strongly stimulated by all three substances. Second, we sought to determine the implication of these signaling pathways on the NA-, insulin- and IGF-1-induced enhancement of MCT2 protein expression and used specific inhibitors of these signaling pathways. We observed that the Pia kinase and mTOR inhibitors LY294002 and rapamycin respectively, strongly prevent the enhancement. of MCT2 expression caused by either NA, insulin ar IGF-1. In contrast, the MEK inhibitor PD98059 and the p38 MAP kinase inhibitor SB202190 had only a slight effect on the enhancement of MCT2 expression in all three cases. These results suggest that NA, insulin and IGF-1 regulate MCT2 protein expression by a common mechanism most likely involving the Akt/PKB pathway and translational activation via mTOR. In conclusion, considering the roles of NA, insulin and IGF-1 in synaptic plasticity, the tight translational regulation of MCT2 expression by these substances may represent a common mechanism through which supply of potentiated synapses with nonglucose energy substrates can be adapted to the level of activity. Résumé du travail de thèse Le glucose représente le substrat énergétique majeur pour le cerveau. Cependant, dans certaines conditions physiologiques ou pathologiques, le cerveau a la capacité d'utiliser des substrats énergétiques appartenant à la classe des monocarboxylates (lactate, pyruvate et corps cétoniques) afin de satisfaire ses besoins énergétiques. Ces monocarboxylates doivent être transportés à travers la barrière hématoencéphalique mais aussi hors des astrocytes vers l'espace extracellulaire puis re-captés par les neurones. Leur transport est assuré par une famille de transporteurs spécifiques, protons-dépendants, appelés transporteurs aux monocarboxylates (MCTs). Dans le système nerveux central, les neurones expriment principalement l'isoforme MCT2 mais peu d'informations sont disponibles concernant la régulation de son expression. Il a été montré que le neurotransmetteur noradrénaline (NA) augmente l'expression de MCT2 dans les cultures de neurones corticaux de souris par le biais d'un mécanisme de régulation traductionnel. La présente étude nous a permis de démontrer que deux autres substances, l'insuline et 17GF-1, induisent une augmentation de la protéine MCT2 dans ces mêmes cultures selon un décours temporel et une gamme de concentrations particulière. Etonnamment, aucun changement n'a été observé concernant les niveaux d'ARNm de MCT2. Ce résultat .confirme que la protéine MCT2 est régulée de manière traductionnelle et révèle que différentes substances neuro-actives peuvent réguler l'expression de MCT2. Compte tenu de ces observations, nous avons voulu déterminer par quelle(s) voie(s) de signalisation la NA, l'insuline et l'IGF-1 exercent leur effet sur l'expression de MCT2. Dans un premier temps, nous avons pu observer par Western blot que ces trois substances activent la MAP kinase ERK ainsi que la kinase Akt via leur phasphorylation. De plus, la voie mTOR/S6K, connue pour son implication dans la régulation de l'initiation de la traduction est aussi fortement activée par ces trois substances. Dans un second temps, nous avons voulu déterminer I implication de chacune de ces voies de signalisation dans l'augmentation de l'expression de la protéine MCT2 observée après stimulation à la NA, à l'insuline et à l'IGF-1. Pour ce faire, nous avons utilisé des inhibiteurs spécifiques de chacune de ces voies. (Vous avons observé que les inhibiteurs des voies PI3 kinase et mTOR (LY294002 et rapamycin respectivement), prévenaient fortement l'augmentation de l'expression de MCT2 induite par la NA, l'insuline ou (IGF-1. A l'inverse, les inhibitions de la MAP kinase .kinase MEK ainsi que de la MAP kinase p38 (par l'utilisation des inhibiteurs spécifiques PD98059 et SB202190 respectivement) n'ont eu qu'un léger effet dans ces mêmes conditions. Ces résultats suggèrent que la NA, 'l'insuline et I~GF-1 régulent l'expression de la protéine MCT2 par un mécanisme commun impliquant probablement la voie Akt/PKB et l'activation de la traduction via mTOR. En conclusion, considérant l'implication de la NA, de l'insuline et de I`IGF-1 dans la plasticité synaptique, le contrôle traductionnel étroit exercé par ces substances sur l'expression de MCT2 pourrait être un moyen d'alimenter en substrats énergétiques autres que le glucose les synapses activées et également d'adapter l'approvisionnement en substrats énergétiques au niveau d'activité. Résumé « grand public » Le cerveau est un organe qui réalise des tâches complexes nécessitant un apport important en énergie. La principale source d'énergie du cerveau est le glucose. Bien que le cerveau ne représente que 2% de la masse corporelle, il consomme à lui seul plus de 25% du glucose et 20% de l'oxygène provenant de la circulation sanguine. La nécessité d'un tel apport en énergie réside dans la nature -même du fonctionnement des milliards de neurones qui utilisent des signaux électriques et chimiques pour communiquer entre eux. Hormis l'utilisation massive du glucose comme source d'énergie, le cerveau est capable de consommer d'autres substrats énergétiques dans certaines conditions physiologiques ou pathologiques. Les monocarboxylates (lactate, pyruvate et corps cétoniques) font partie de ces autres sources d'énergie. Contrairement au glucose, les monocarboxylates ne diffusent pas facilement de la circulation sanguine vers les neurones. Afin de pouvoir être consommés par les neurones, ils doivent être transportés par un système adapté. Ce sont des transporteurs appelés transporteurs aux monocarboxylates ou MCT qui permettent le passage de ces substrats énergétiques du sang vers les neurones. Le but de ce travail de thèse a été de comprendre comment est régulée l'expression de MCT2, l'un de ces transporteurs exprimé spécifiquement à la surface des neurones. Cette étude nous a permis de mettre en évidence que le neurotransmetteur noradrénaline ainsi que les hormones insuline et IGF-1 (insulinlike growth factor-1) sont capables d'induire une augmentation d'expression de MCT2 à la surface des neurones en culture. Nous avons ensuite voulu déterminer par quels mécanismes de signalisation ces substances agissent sur l'expression de MCT2. Nous avons pu observer que la surexpression de la protéine MCT2 est due à une augmentation d'activité traductionnelle (la traduction étant une des étapes qui permet la synthèse des protéines) induite par le biais d'une voie de signalisation particulière. En conclusion, lorsque la noradrénaline, l'insuline ou 17GF-1 agissent sur les neurones, la traduction de la protéine MCT2 est activée et on observe une augmentation de l'expression de MCT2. Ce mécanisme pourrait permettre d'augmenter l'apport énergétique au niveau des neurones en augmentant le nombre de transporteurs pour les substrats énergétiques que sont les monocarboxylates. D'un point de vue physiologique, cette régulation d'expression pourrait jouer un rôle primordial dans des situations d'apprentissage et de mémorisation. Sur le plan pathologique, cela pourrait permettre de prévenir les dommages causes aux neurones dans certains cas d'atteintes cérébrales.

Genetic compatibility between Anopheles lesteri from Korea and Anopheles paraliae from Thailand

To assess differentiation and relationships between Anopheles lesteri and Anopheles paraliae we established three and five iso-female lines of An. lesteri from Korea and An. paraliae from Thailand, respectively. These isolines were used to investigate the genetic relationships between the two taxa by crossing experiments and by comparing DNA sequences of ribosomal DNA second internal transcribed spacer (ITS2) and mitochondrial DNA cytochrome c oxidase subunit I (COI) and subunit II (COII). Results of reciprocal and F1-hybrid crosses between An. lesteri and An. paraliae indicated that they were compatible genetically producing viable progenies and complete synaptic salivary gland polytene chromosomes without inversion loops in all chromosome arms. The pairwise genetic distances of ITS2, COI and COII between these morphological species were 0.040, 0.007-0.017 and 0.008-0.011, respectively. The specific species status of An. paraliae in Thailand and/or other parts of the continent are discussed.

Uncertainty Quantification Of A Semi-Supervised Support Vector Regression Reservoir Model

Uncertainty quantification of petroleum reservoir models is one of the present challenges, which is usually approached with a wide range of geostatistical tools linked with statistical optimisation or/and inference algorithms. Recent advances in machine learning offer a novel approach to model spatial distribution of petrophysical properties in complex reservoirs alternative to geostatistics. The approach is based of semisupervised learning, which handles both ?labelled? observed data and ?unlabelled? data, which have no measured value but describe prior knowledge and other relevant data in forms of manifolds in the input space where the modelled property is continuous. Proposed semi-supervised Support Vector Regression (SVR) model has demonstrated its capability to represent realistic geological features and describe stochastic variability and non-uniqueness of spatial properties. On the other hand, it is able to capture and preserve key spatial dependencies such as connectivity of high permeability geo-bodies, which is often difficult in contemporary petroleum reservoir studies. Semi-supervised SVR as a data driven algorithm is designed to integrate various kind of conditioning information and learn dependences from it. The semi-supervised SVR model is able to balance signal/noise levels and control the prior belief in available data. In this work, stochastic semi-supervised SVR geomodel is integrated into Bayesian framework to quantify uncertainty of reservoir production with multiple models fitted to past dynamic observations (production history). Multiple history matched models are obtained using stochastic sampling and/or MCMC-based inference algorithms, which evaluate posterior probability distribution. Uncertainty of the model is described by posterior probability of the model parameters that represent key geological properties: spatial correlation size, continuity strength, smoothness/variability of spatial property distribution. The developed approach is illustrated with a fluvial reservoir case. The resulting probabilistic production forecasts are described by uncertainty envelopes. The paper compares the performance of the models with different combinations of unknown parameters and discusses sensitivity issues.

The connectome mapper: an open-source processing pipeline to map connectomes with MRI.

Researchers working in the field of global connectivity analysis using diffusion magnetic resonance imaging (MRI) can count on a wide selection of software packages for processing their data, with methods ranging from the reconstruction of the local intra-voxel axonal structure to the estimation of the trajectories of the underlying fibre tracts. However, each package is generally task-specific and uses its own conventions and file formats. In this article we present the Connectome Mapper, a software pipeline aimed at helping researchers through the tedious process of organising, processing and analysing diffusion MRI data to perform global brain connectivity analyses. Our pipeline is written in Python and is freely available as open-source at www.cmtk.org.

Repeating with the right hemisphere: reduced interactions between phonological and lexical-semantic systems in crossed aphasia?

Knowledge on the patterns of repetition amongst individuals who develop language deficits in association with right hemisphere lesions (crossed aphasia) is very limited. Available data indicate that repetition in some crossed aphasics experiencing phonological processing deficits is not heavily influenced by lexical-semantic variables (lexicality, imageability, and frequency) as is regularly reported in phonologically-impaired cases with left hemisphere damage. Moreover, in view of the fact that crossed aphasia is rare, information on the role of right cortical areas and white matter tracts underpinning language repetition deficits is scarce. In this study, repetition performance was assessed in two patients with crossed conduction aphasia and striatal/capsular vascular lesions encompassing the right arcuate fasciculus (AF) and inferior frontal-occipital fasciculus (IFOF), the temporal stem and the white matter underneath the supramarginal gyrus. Both patients showed lexicality effects repeating better words than non-words, but manipulation of other lexical-semantic variables exerted less influence on repetition performance. Imageability and frequency effects, production of meaning-based paraphrases during sentence repetition, or better performance on repeating novel sentences than overlearned clichés were hardly ever observed in these two patients. In one patient, diffusion tensor imaging disclosed damage to the right long direct segment of the AF and IFOF with relative sparing of the anterior indirect and posterior segments of the AF, together with fully developed left perisylvian white matter pathways. These findings suggest that striatal/capsular lesions extending into the right AF and IFOF in some individuals with right hemisphere language dominance are associated with atypical repetition patterns which might reflect reduced interactions between phonological and lexical-semantic processes.

Intrinsically photosensitive retinal ganglion cells.

The recent discovery of melanopsin-expressing retinal ganglion cells that mediate the pupil light reflex has provided new insights into how the pupil responds to different properties of light. These ganglion cells are unique in their ability to transduce light into electrical energy. There are parallels between the electrophysiologic behavior of these cells in primates and the clinical pupil response to chromatic stimuli. Under photopic conditions, a red light stimulus produces a pupil constriction mediated predominantly by cone input via trans-synaptic activation of melanopsin-expressing retinal ganglion cells, whereas a blue light stimulus at high intensity produces a steady-state pupil constriction mediated primarily by direct intrinsic photoactivation of the melanopsin-expressing ganglion cells. Preliminary data in humans suggest that under photopic conditions, cones primarily drive the transient phase of the pupil light reflex, whereas intrinsic activation of the melanopsin-expressing ganglion cells contributes heavily to sustained pupil constriction. The use of chromatic light stimuli to elicit transient and sustained pupil light reflexes may become a clinical pupil test that allows differentiation between disorders affecting photoreceptors and those affecting retinal ganglion cells.

Astrocytic dysfunction: insights on the role in neurodegeneration.

For decades, astrocytes have been regarded as passive partners of neurons in central nervous system (CNS) function. Studies of the last 20 years, however, challenged this view by demonstrating that astrocytes possess functional receptors for neurotransmitters and respond to their stimulation via release of gliotransmitters, including glutamate. Notably, astrocytes react to synaptically released neurotransmitters with intracellular calcium ([Ca(2+)]) elevations, which result in the release of glutamate via regulated exocytosis and, possibly, other mechanisms. These findings have led to a new concept of neuron-glia intercommunication where astrocytes play an unsuspected dynamic role by integrating neuronal inputs and modulating synaptic activity. The additional observation that glutamate release from astrocytes is controlled by molecules linked to inflammatory reactions, such as the cytokine tumor necrosis factor alpha (TNFalpha) and prostaglandins (PGs), suggests that glia-to-neuron signalling may be sensitive to changes in the production of these mediators occurring in pathological conditions. Indeed, a local, parenchymal brain inflammatory reaction (neuroinflammation) characterized by astrocytic and microglial activation has been reported in several neurodegenerative disorders, including AIDS dementia complex, Alzheimer's disease and amyotrophic lateral sclerosis. This transition may be accompanied by functional de-regulation and even degeneration of the astrocytes with the consequent disruption of the cross-talk normally occurring between these cells and neurons. Incorrect neuron-astrocyte interactions may be involved in neuronal derangement and contribute to disease development. The findings reported in this review suggest that a better comprehension of the glutamatergic interplay between neurons and astrocytes may provide information about normal brain function and also highlight potential molecular targets for therapeutic interventions in pathology.

Trabecular bone score (TBS) the new parameter of 2D texture analysis for the evaluation of 3D bone micro architecture status

X-ray is a technology that is used for numerous applications in the medical field. The process of X-ray projection gives a 2-dimension (2D) grey-level texture from a 3- dimension (3D) object. Until now no clear demonstration or correlation has positioned the 2D texture analysis as a valid indirect evaluation of the 3D microarchitecture. TBS is a new texture parameter based on the measure of the experimental variogram. TBS evaluates the variation between 2D image grey-levels. The aim of this study was to evaluate existing correlations between 3D bone microarchitecture parameters - evaluated from μCT reconstructions - and the TBS value, calculated on 2D projected images. 30 dried human cadaveric vertebrae were acquired on a micro-scanner (eXplorer Locus, GE) at isotropic resolution of 93 μm. 3D vertebral body models were used. The following 3D microarchitecture parameters were used: Bone volume fraction (BV/TV), Trabecular thickness (TbTh), trabecular space (TbSp), trabecular number (TbN) and connectivity density (ConnD). 3D/2D projections has been done by taking into account the Beer-Lambert Law at X-ray energy of 50, 100, 150 KeV. TBS was assessed on 2D projected images. Correlations between TBS and the 3D microarchitecture parameters were evaluated using a linear regression analysis. Paired T-test is used to assess the X-ray energy effects on TBS. Multiple linear regressions (backward) were used to evaluate relationships between TBS and 3D microarchitecture parameters using a bootstrap process. BV/TV of the sample ranged from 18.5 to 37.6% with an average value at 28.8%. Correlations' analysis showedthat TBSwere strongly correlatedwith ConnD(0.856≤r≤0.862; p<0.001),with TbN (0.805≤r≤0.810; p<0.001) and negatively with TbSp (−0.714≤r≤−0.726; p<0.001), regardless X-ray energy. Results show that lower TBS values are related to "degraded" microarchitecture, with low ConnD, low TbN and a high TbSp. The opposite is also true. X-ray energy has no effect onTBS neither on the correlations betweenTBS and the 3Dmicroarchitecture parameters. In this study, we demonstrated that TBS was significantly correlated with 3D microarchitecture parameters ConnD and TbN, and negatively with TbSp, no matter what X-ray energy has been used. This article is part of a Special Issue entitled ECTS 2011. Disclosure of interest: None declared.

Glutathione Precursor, N-Acetyl-Cysteine, Modulates EEG Synchronization in Schizophrenia Patients

Background: Glutathione (GSH) dysregulation at the gene, protein and functional levels observed in schizophrenia patients, and schizophrenia-like anomalies in GSH deficit experimental models, suggest that genetic glutathione synthesis impairments represent one major risk factor for the disease (Do et al., 2009). In a randomized, double blind, placebo controlled, add-on clinical trial of 140 patients, the GSH precursor N-Acetyl-Cysteine (NAC, 2g/day, 6 months) significantly improved the negative symptoms and reduced sideeffects due to antipsychotics (Berk et al., 2008). In a subset of patients (n=7), NAC (2g/day, 2 months, cross-over design) also improved auditory evoked potentials, the NMDA-dependent mismatch negativity (Lavoie et al, 2008). Methods: To determine whether increased GSH levels would modulate the topography of functional brain connectivity, we applied a multivariate phase synchronization (MPS) estimator (Knyazeva et al, 2008) to dense-array EEGs recorded during rest with eyes closed at the protocol onset, the point of crossover, and at its end. Results: The whole-head imaging revealed a specific synchronization landscape in NAC compared to placebo condition. In particular, NAC increased MPS over frontal and left temporal regions in a frequency-specific manner. The topography and direction of MPS changes were similar and robust in all 7 patients. Moreover, these changes correlated with the changes in the Liddle's score of disorganization, thus linking EEG synchronization to the improvement of the clinical picture. Conclusions: The data suggest an important pathway towards new therapeutic strategies that target GSH dysregulation in schizophrenia. They also show the utility of MPS mapping as a marker of treatment efficacy.

Estudi preliminar per la creació d'una nova categoria d'impacte ambiental dins el marc de l'ACV: la dimensió natural del paisatge

L’Anàlisi de Cicle de Vida (ACV) és una eina emprada per gestionar els impactes ambientals i els recursos usats al llarg del cicle de vida d’un bé o servei. Existeixen reptes de futur en el desenvolupament de l’ACV, tals com la introducció de noves categories d’impacte ambiental, que permetin una anàlisi més específica dels impactes sobre determinats elements del medi, com ara el paisatge. En el present estudi s’analitza la dimensió natural del paisatge per tal de proposar la creació d’un índex de paisatge. Així doncs, s’han revisat les noves propostes de categories d’impacte en ACV que inclouen directament o indirecta el paisatge i s’ha analitzat una mostra de 33 estudis d’indicadors de paisatge. Aquesta cerca deriva en l’elecció de 6 indicadors: els usos del sòl, la diversitat paisatgística, la fragmentació, la connectivitat, la riquesa d’espècies i la densitat de carreteres. En la determinació dels seus respectius mètodes de càlcul s’ha detectat la importància de l’ús dels SIG, l’elecció d’una base de dades d’usos del sòl comuna (CORINE) i les interrelacions que existeixen entre indicadors. La proposta de l’índex hauria de poder ésser un punt de partida per a futurs estudis en aquest àmbit i derivar en una nova categoria d’impacte de paisatge, donat que caldrà estudiar alguns elements, com la interrelació entre indicadors.

BDNF overexpression in mouse hippocampal astrocytes promotes local neurogenesis and elicits anxiolytic-like activities.

The therapeutic activity of selective serotonin (5-HT) reuptake inhibitors (SSRIs) relies on long-term adaptation at pre- and post-synaptic levels. The sustained administration of SSRIs increases the serotonergic neurotransmission in response to a functional desensitization of the inhibitory 5-HT1A autoreceptor in the dorsal raphe. At nerve terminal such as the hippocampus, the enhancement of 5-HT availability increases brain-derived neurotrophic factor (BDNF) synthesis and signaling, a major event in the stimulation of adult neurogenesis. In physiological conditions, BDNF would be expressed at functionally relevant levels in neurons. However, the recent observation that SSRIs upregulate BDNF mRNA in primary cultures of astrocytes strongly suggest that the therapeutic activity of antidepressant drugs might result from an increase in BDNF synthesis in this cell type. In this study, by overexpressing BDNF in astrocytes, we balanced the ratio between astrocytic and neuronal BDNF raising the possibility that such manipulation could positively reverberate on anxiolytic-/antidepressant-like activities in transfected mice. Our results indicate that BDNF overexpression in hippocampal astrocytes produced anxiolytic-/antidepressant-like activity in the novelty suppressed feeding in relation with the stimulation of hippocampal neurogenesis whereas it did not potentiate the effects of the SSRI fluoxetine on these parameters. Moreover, overexpressing BDNF revealed the anxiolytic-like activity of fluoxetine in the elevated plus maze while attenuating 5-HT neurotransmission in response to a blunted downregulation of the 5-HT1A autoreceptor. These results emphasize an original role of hippocampal astrocytes in the synthesis of BDNF, which can act through neurogenesis-dependent and -independent mechanisms to regulate different facets of anxiolytic-like responses.

A neuron-glia signalling network in the active brain.

Glial cells are active partners of neurons in processing information and synaptic integration. They receive coded signals from synapses and elaborate modulatory responses. The active properties of glia, including long-range signalling and regulated transmitter release, are beginning to be elucidated. Recent insights suggest that the active brain should no longer be regarded as a circuitry of neuronal contacts, but as an integrated network of interactive neurons and glia.

A neuron-specific deletion of the microRNA-processing enzyme DICER induces severe but transient obesity in mice.

MicroRNAs (miRNAs) are small, non-coding RNA molecules that regulate gene expression post-transcriptionally. MiRNAs are implicated in various biological processes associated with obesity, including adipocyte differentiation and lipid metabolism. We used a neuronal-specific inhibition of miRNA maturation in adult mice to study the consequences of miRNA loss on obesity development. Camk2a-CreERT2 (Cre+) and floxed Dicer (Dicerlox/lox) mice were crossed to generate tamoxifen-inducible conditional Dicer knockouts (cKO). Vehicle- and/or tamoxifen-injected Cre+;Dicerlox/lox and Cre+;Dicer+/+ served as controls. Four cohorts were used to a) measure body composition, b) follow food intake and body weight dynamics, c) evaluate basal metabolism and effects of food deprivation, and d) assess the brain transcriptome consequences of miRNA loss. cKO mice developed severe obesity and gained 18 g extra weight over the 5 weeks following tamoxifen injection, mainly due to increased fat mass. This phenotype was highly reproducible and observed in all 38 cKO mice recorded and in none of the controls, excluding possible effects of tamoxifen or the non-induced transgene. Development of obesity was concomitant with hyperphagia, increased food efficiency, and decreased activity. Surprisingly, after reaching maximum body weight, obese cKO mice spontaneously started losing weight as rapidly as it was gained. Weight loss was accompanied by lowered O2-consumption and respiratory-exchange ratio. Brain transcriptome analyses in obese mice identified several obesity-related pathways (e.g. leptin, somatostatin, and nemo-like kinase signaling), as well as genes involved in feeding and appetite (e.g. Pmch, Neurotensin) and in metabolism (e.g. Bmp4, Bmp7, Ptger1, Cox7a1). A gene cluster with anti-correlated expression in the cerebral cortex of post-obese compared to obese mice was enriched for synaptic plasticity pathways. While other studies have identified a role for miRNAs in obesity, we here present a unique model that allows for the study of processes involved in reversing obesity. Moreover, our study identified the cortex as a brain area important for body weight homeostasis.