References of "DEPIERREUX, Frédérique"
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See detailAdvances in diagnosis and management of familial pituitary adenomas
Jedidi, Haroun ULiege; ROSTOMYAN, Lilith; POTORAC, Iulia et al

in International Journal of Endocrine Oncology (in press)

Familial pituitary adenomas accounts for approximately 5-8 % of all pituitary adenomas. Besides the adenomas occurring as part of syndromic entities that bring together several endocrine or other systems ... [more ▼]

Familial pituitary adenomas accounts for approximately 5-8 % of all pituitary adenomas. Besides the adenomas occurring as part of syndromic entities that bring together several endocrine or other systems disorders, 2-3% of the familial pituitary adenomas fit into the familial isolated pituitary adenomas (FIPA) syndrome. 20% of FIPA syndromes have shown mutations in the AIP gene and have distinct clinical characteristics. Recent findings have isolated a new non-AIP FIPA syndrome called X-LAG, resulting from duplication in GPR-101 gene. These new advances in the field of pituitary disease are opening up a new challenging domain to both clinician and researcher. This review will focus on these last findings and their contribution to the diagnosis and the management of familial pituitary adenomas. [less ▲]

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See detailMean and variance of Dynamic Functional Connectivity in Parkinson’s Disease
Baquero Duarte, Katherine Andrea ULiege; Guldenmund, Pieter; Rouillard, Maud ULiege et al

Poster (2017, June 29)

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See detailAdvances in diagnosis and management of familial pituitary adenomas
Jedidi, Haroun; Rostomyan, Liliya ULiege; Potorac, Iulia ULiege et al

in International Journal of Endocrine Oncology (2016), 3(4), 313-323

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See detailDéveloppement de nouveaux marqueurs neuroradiologiques de la maladie de Parkinson par reconnaissance de motifs
Himri, Khadidja ULiege; Depierreux, Frédérique ULiege; GARRAUX, Gaëtan ULiege

Poster (2015, January 27)

Background and objectives: Automatic classification of Parkinson’s disease (PD) versus healthy controls (HC) based on structural MRI has so far focused on unimodal approaches. However, this method is ... [more ▼]

Background and objectives: Automatic classification of Parkinson’s disease (PD) versus healthy controls (HC) based on structural MRI has so far focused on unimodal approaches. However, this method is subject to a poor temporal and spatial resolution leading to low classification accuracy. To overcome this limitation we propose to integrate different modalities by generating a single decision function based on a multi-kernel method, exploiting the complementary information it offers. We predict that the integration of multiple modalities produces greater classification enhancement. Materials and methods: 3Tesla MRI was acquired in 42 patients with PD and 42 age and gender matched healthy controls. We relied on Unified Parkinson’s Disease Rating Scale (UPDRS) for evaluating the clinical status. We used structural and quantitative maps of T1, T2*, proton density (PD), magnetization transfer (MT), Multi-parameter (MT magnetization transfer, proton density (A), Iron Deposit (R2 *), mixing water content, iron, and the fraction of macromolecules tissues (R1) at 1 × 1 × 1 mm3 resolution. We identified cortical and subcortical brain regions (cortex, putamen, globus pallidus, substantia nigra), and cortical grey matter. We applied existing classification algorithms in the field of neuroscience using a classification algorithm based on Support Vector Machines (SVMs) [1], executed using the Pattern Recognition for Neuroimaging Toolbox (PRoNTo) [2]. The processes of classification was the following, data were mean centered and leave one subject out cross-validation was performed, making the test set independent from the training set. Analyses were restricted to voxels where all subjects had non-zero values. Statistical significance of the classifications was tested using permutation testing (1000 permutations) with random assignment of group class to the input image. Subsequently, we combined different modalities (MT, A, R1, R2) and identified the combination giving the highest sensitivity and sensibility in PD classification. As classifier we used support vector machines that are inspired by statistical learning theory Vladimir Vapnik and Multiple Kernel Learning approach, introduced by Lanckriet [3],[4]. Our approach can be seen as an analogue of MKL with SVMs. Conclusion & Future work: Identification of brain areas with affected intensity in the Parkinson’s group compared to Healthy Controls in single modalities using pronto is helpful. However, the subsequent multi-kernel approach utilizes unimodal information in a combined fashion so that emergent information is obtained, transcending effectiveness unimodal approaches. In conclusion, our findings suggest that combining different imaging modalities and different regions of interest increase classification accuracy significantly. These results are promising for objective diagnosis in medical practice. [less ▲]

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See detailComparison of brain functional connectivity methods for the diagnosis of Parkinson’s disease using resting state fMRI
Baquero Duarte, Katherine Andrea ULiege; Rouillard, Maud; Depierreux, Frédérique ULiege et al

Scientific conference (2015, January 27)

Background In the absence of validated biomarkers, the early diagnosis of Parkinson’s disease (PD), the second most common neurodegenerative disorder worldwide [1], is challenging and is prone to low ... [more ▼]

Background In the absence of validated biomarkers, the early diagnosis of Parkinson’s disease (PD), the second most common neurodegenerative disorder worldwide [1], is challenging and is prone to low accuracy [2]. Recent evidence suggests that the average pattern of functional connectivity (FC) between the basal ganglia and cerebral cortex assessed in the resting state using functional magnetic resonance imaging (rs-fMRI) might discriminate between mild PD and healthy controls with 85% overall accuracy [3]. Goal We will test if this finding can be replicated in our population. We will also compare the diagnosis accuracy of this approach, which depicts an average pattern of connectivity during the whole scanning period, with that of dynamic FC that investigates the spontaneous fluctuations of the pattern of connectivity over the scanning period [4]. Methods We are currently processing and analyzing rs-fMRI data prospectively acquired on a 3T MRI in 39 patients with PD (mean disease duration 5.4 years; mean Hoehn and Yahr stage 1.5) and 39 healthy controls matched for age, gender and levels of education. For dynamic FC we will compare two different methods [4], one that use slice-time windows to capture brain dynamics with another that captures spatial co-activation patters (CAPs) at specific time points. Conclusion The selected methods will be further validated in a new cohort of de novo drug-naïve PD patients. [1] Tessitore, A., et al. Sensorimotor connectivity in Parkinson’s disease: the role of functional neuroimaging. Frontiers in neurology 5 (2014). [2] Adler et al. Low clinical diagnostic accuracy of early vs advanced Parkinson disease. Clinicopathologic study. Neurology 2014;83:406–412 [3] Szewczyk-Krolikowski, K., et al. Functional connectivity in the basal ganglia network differentiates PD patients from controls. Neurology 83.3 (2014): 208-214. [4] Hutchison, M., et al. Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage 80 (2013): 360-378. [less ▲]

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See detailLa pollution lumineuse, entre écologie et santé
JEDIDI, Haroun ULiege; DEPIERREUX, Frédérique ULiege; JEDIDI, Zayd ULiege et al

in Revue Médicale de Liège (2015), 70(11), 557-562

Light pollution is defined as the abnormal and disturbing presence of light and its adverse consequences on flora, faunae, ecosystems and its suspected or proven effects on human health. Light pollution ... [more ▼]

Light pollution is defined as the abnormal and disturbing presence of light and its adverse consequences on flora, faunae, ecosystems and its suspected or proven effects on human health. Light pollution is a quite recent and increasing phenomenon within our society and it leads to a major environmental damage, obviously near wildlife, but also on human health (cancers, obesity, fatigue, depression...). The solutions to this problem are however simple, efficient and de facto inexpensive and involving a substantial energy saving. [less ▲]

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See detailLa Narcolepsie-Cataplexie aujourd'hui
DEPIERREUX, Frédérique ULiege; FANIELLE, Julien ULiege; Martin-Lecomte, Marianne ULiege et al

in Revue Médicale de Liège (2014), 69(2), 72-81

Diagnostic criteria and pathophysiology of narcolepsy- <br />cataplexy have evolved considerably over the last 10 years. <br />The main cause, already mentioned in a previous paper, in the <br />Revue ... [more ▼]

Diagnostic criteria and pathophysiology of narcolepsy- <br />cataplexy have evolved considerably over the last 10 years. <br />The main cause, already mentioned in a previous paper, in the <br />Revue Médicale de Liège, in 2002, is based, in human beings, <br />on a destruction of specific cells located in the lateral and <br />posterior part of the hypothalamus (the perifornical nuclei, <br />containing some 70,000 neurons), producing peptides which <br />stimulate the central nervous system; they are called hypocretins <br />or orexins. The role of autoimmunity in their disappearance <br />becomes more evident. The treatment is simplified but <br />remains symptomatic. It is mainly based on Sodium Oxybate <br />or Gamma-Hydroxybutyrate, syrup, prescribed for the night. <br />The authors report on their own experience in this regard and <br />on future therapeutics more targeted towards the cause of the <br />disease. [less ▲]

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See detailLes troubles du contrôle des impulsions associés au traitement dopaminergique substitutif antiparkinsonien
DEPIERREUX, Frédérique ULiege; CREMERS, Julien ULiege; SKAWINIAK, Eva ULiege et al

in Revue Médicale de Liège (2013), 68(mai-juin), 221-225

Summary : In some patients, impulse control behaviours can be triggered by dopaminergic replacement therapy, particularly dopamine agonist drugs: hobbyism, punding (stereotyped behaviours), compulsive ... [more ▼]

Summary : In some patients, impulse control behaviours can be triggered by dopaminergic replacement therapy, particularly dopamine agonist drugs: hobbyism, punding (stereotyped behaviours), compulsive buying, binge eating disorder, pathological gamgling, hypersexuality, hedonistic homeostatic dysregulation syndrome ... The pathogenesis of these behaviours is not well understood, but likely involves aberrant changes in the dopaminergic pathways that mediate motivation i.e., a dopaminergic “overdose” in meso-cortico-limbic circuits. An early diagnosis is difficult, but mandatory to prevent the occurrence of devastating familial, marital, professional, socio-economic, medical and medico-legal consequences. Their management is not yet well standardized. Patients and caregivers should be warned about impulse control behaviours before starting dopamine agonists and monitoring for such behaviours while on therapy is requested. [less ▲]

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