262 research outputs found

    Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease

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    Alzheimer’s Disease Computer-Aided Diagnosis on Positron Emission Tomography Brain Images Using Image Processing Techniques

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    Positron emission tomography (PET) is a molecular medical imaging modality which is commonly used for neurodegenerative disease diagnosis. Computer-aided diagnosis (CAD), based on medical image analysis, could help with the quantitative evaluation of brain diseases such as Alzheimer’s disease (AD). Ranking the effectiveness of brain volume of interest (VOI) to separate healthy or normal control (HC or NC) from AD brain PET images is presented in this book chapter. Brain images are first mapped into anatomical VOIs using an atlas. Different features including statistical, graph, or connectivity-based features are then computed on these VOIs. Top-ranked VOIs are then input into a support vector machine (SVM) classifier. The developed methods are evaluated on a local database image as well as on Alzheimer’s Disease Neuroimaging Initiative (ADNI) public database and then compared to known selection feature methods. These new approaches outperformed classification results in the case of a two-group separation

    Early-onset and late-onset Alzheimer’s disease are associated with distinct patterns of memory impairment

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    The goal of this study was to investigate the specific patterns of memory breakdown in patients suffering from early-onset Alzheimer’s disease (EOAD) and late-onset Alzheimer’s disease (LOAD). Twenty EOAD patients, twenty LOAD patients, twenty matched younger controls, and twenty matched older controls participated in this study. All participants underwent a detailed neuropsychological assessment, an MRI scan, an FDG-PET scan, and AD patients had biomarkers as supporting evidence of both amyloïdopathy and neuronal injury. Results of the neuropsychological assessment showed that both EOAD and LOAD groups were impaired in the domains of memory, executive functions, language, praxis, and visuoconstructional abilities, when compared to their respective control groups. EOAD and LOAD groups, however, showed distinct patterns of memory impairment. Even though both groups were similarly affected on measures of episodic, short term and working memory, in contrast semantic memory was significantly more impaired in LOAD than in EOAD patients. The EOAD group was not more affected than the LOAD group in any memory domain. EOAD patients, however, showed significantly poorer performance in other cognitive domains including executive functions and visuoconstructional abilities. A more detailed analysis of the pattern of semantic memory performance among patient groups revealed that the LOAD was more profoundly impaired, in tasks of both spontaneous recall and semantic recognition. Voxel-Based Morphometry (VBM) analyses showed that impaired semantic performance in patients was associated with reduced gray matter volume in the anterior temporal lobe region, while PET-FDG analyses revealed that poorer semantic performance was associated with greater hypometabolism in the left temporoparietal region, both areas reflecting key regions of the semantic network. Results of this study indicate that EOAD and LOAD patients present with distinct patterns of memory impairment, and that a genuine semantic impairment may represent one of the clinical hallmarks of LOAD

    Association of a schizophrenia-risk nonsynonymous variant with putamen volume in adolescents

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    Importance Deviation from normal adolescent brain development precedes manifestations of many major psychiatric symptoms. Such altered developmental trajectories in adolescents may be linked to genetic risk for psychopathology. Objective To identify genetic variants associated with adolescent brain structure and explore psychopathologic relevance of such associations. Design, Setting, and Participants Voxelwise genome-wide association study in a cohort of healthy adolescents aged 14 years and validation of the findings using 4 independent samples across the life span with allele-specific expression analysis of top hits. Group comparison of the identified gene-brain association among patients with schizophrenia, unaffected siblings, and healthy control individuals. This was a population-based, multicenter study combined with a clinical sample that included participants from the IMAGEN cohort, Saguenay Youth Study, Three-City Study, and Lieber Institute for Brain Development sample cohorts and UK biobank who were assessed for both brain imaging and genetic sequencing. Clinical samples included patients with schizophrenia and unaffected siblings of patients from the Lieber Institute for Brain Development study. Data were analyzed between October 2015 and April 2018. Main Outcomes and Measures Gray matter volume was assessed by neuroimaging and genetic variants were genotyped by Illumina BeadChip. Results The discovery sample included 1721 adolescents (873 girls [50.7%]), with a mean (SD) age of 14.44 (0.41) years. The replication samples consisted of 8690 healthy adults (4497 women [51.8%]) from 4 independent studies across the life span. A nonsynonymous genetic variant (minor T allele of rs13107325 in SLC39A8, a gene implicated in schizophrenia) was associated with greater gray matter volume of the putamen (variance explained of 4.21% in the left hemisphere; 8.66; 95% CI, 6.59-10.81; P = 5.35 × 10−18; and 4.44% in the right hemisphere; t = 8.90; 95% CI, 6.75-11.19; P = 6.80 × 10−19) and also with a lower gene expression of SLC39A8 specifically in the putamen (t127 = −3.87; P = 1.70 × 10−4). The identified association was validated in samples across the life span but was significantly weakened in both patients with schizophrenia (z = −3.05; P = .002; n = 157) and unaffected siblings (z = −2.08; P = .04; n = 149). Conclusions and Relevance Our results show that a missense mutation in gene SLC39A8 is associated with larger gray matter volume in the putamen and that this association is significantly weakened in schizophrenia. These results may suggest a role for aberrant ion transport in the etiology of psychosis and provide a target for preemptive developmental interventions aimed at restoring the functional effect of this mutation

    Vaccine breakthrough hypoxemic COVID-19 pneumonia in patients with auto-Abs neutralizing type I IFNs

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    Life-threatening `breakthrough' cases of critical COVID-19 are attributed to poor or waning antibody response to the SARS- CoV-2 vaccine in individuals already at risk. Pre-existing autoantibodies (auto-Abs) neutralizing type I IFNs underlie at least 15% of critical COVID-19 pneumonia cases in unvaccinated individuals; however, their contribution to hypoxemic breakthrough cases in vaccinated people remains unknown. Here, we studied a cohort of 48 individuals ( age 20-86 years) who received 2 doses of an mRNA vaccine and developed a breakthrough infection with hypoxemic COVID-19 pneumonia 2 weeks to 4 months later. Antibody levels to the vaccine, neutralization of the virus, and auto- Abs to type I IFNs were measured in the plasma. Forty-two individuals had no known deficiency of B cell immunity and a normal antibody response to the vaccine. Among them, ten (24%) had auto-Abs neutralizing type I IFNs (aged 43-86 years). Eight of these ten patients had auto-Abs neutralizing both IFN-a2 and IFN-., while two neutralized IFN-omega only. No patient neutralized IFN-ss. Seven neutralized 10 ng/mL of type I IFNs, and three 100 pg/mL only. Seven patients neutralized SARS-CoV-2 D614G and the Delta variant (B.1.617.2) efficiently, while one patient neutralized Delta slightly less efficiently. Two of the three patients neutralizing only 100 pg/mL of type I IFNs neutralized both D61G and Delta less efficiently. Despite two mRNA vaccine inoculations and the presence of circulating antibodies capable of neutralizing SARS-CoV-2, auto-Abs neutralizing type I IFNs may underlie a significant proportion of hypoxemic COVID-19 pneumonia cases, highlighting the importance of this particularly vulnerable population

    COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

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    Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≀ 18 years: 69, 48, 23; 85%), older adults (≄ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P < 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

    Functional MRI and metabolic PET study of memory reorganization in temporal lobe epilepsy

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    L’objectif gĂ©nĂ©ral de ce travail de thĂšse a Ă©tĂ© de caractĂ©riser in vivo, chez l’Homme, les rĂ©organisations mnĂ©siques retrouvĂ©es dans l’épilepsie temporo-mĂ©siale pharmaco-rĂ©sistante.Nous nous sommes appuyĂ©s sur une approche multimodale d’imagerie combinant Ă©tude de la connectivitĂ© et des rĂ©seaux d’activations mnĂ©siques en IRMf, et Ă©tude de la consommation mĂ©tabolique rĂ©gionale inter-critique de glucose en TEP. Il s’agissait, notamment, de mieux comprendre la relative prĂ©servation mnĂ©sique retrouvĂ©e chez certains de ces patients, malgrĂ© l’implication du cortex temporal interne au sein de leurs rĂ©seaux Ă©pileptiques.Nos rĂ©sultats, obtenus pour l’encodage d’items uniques non matĂ©riel-spĂ©cifiques, apportent des connaissances nouvelles sur l’adaptation fonctionnelle des rĂ©seaux cognitifs au sein et en dehors de la zone Ă©pileptogĂšne, expliquant les diffĂ©rences de performance mnĂ©sique en reconnaissance, et leur lien possible avec les rĂ©seaux Ă©pileptiques.Ces travaux suggĂšrent, notamment, l’existence de ressources fonctionnelles additionnelles efficaces, Ă  la fois locales et Ă  distance, impliquant la voie visuelle ventrale bilatĂ©rale. Ces processus de compensation pourraient ĂȘtre conditionnĂ©s par les caractĂ©ristiques propres de l’atteinte primitive, et en particulier une implication diffĂ©rente des structures temporales internes au sein de la zone Ă©pileptogĂšne. L’altĂ©ration fonctionnelle de ce systĂšme perceptivo-mnĂ©sique pourrait induire une rĂ©organisation inefficace plus large, sollicitant l’activation alternative des rĂ©seaux de l’attention, au niveau des rĂ©gions fronto-cingulaires et pariĂ©tales.The overall objective of this thesis was to characterize in vivo the human memory reorganization observed in medial temporal lobe epilepsy, in particular for recognition memory.We conducted a multimodal neuroimaging approach, combining the study of connectivity and memory activation networks with fMRI, and the study of inter-ictal cerebral metabolic rate of glucose with PET. We aimed to better understand the relative preservation of memory found in some patients, despite the involvement of the medial temporal lobe within their epileptic networks. Our findings, obtained for the encoding of non material-specific single items, provide new insights into the functional adaptation of cognitive networks, within and outside the epileptogenic zone, and help to explain the differences in recognition performance, and their possible relationship with epileptic networks. These studies suggest, in particular, the existence of local and remote compensatory mechanisms which are functionally effective and involve the ventral visual stream bilaterally. These could be influenced by the exact involvement of medial temporal structures within the epileptogenic zone. The impairment of this perceptive-memory system may lead to a more large-scale reorganization with the alternative activation of an inefficient network of attention-related areas involving fronto-cingulate and parietal cortices
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