BackgroundIntracerebral haemorrhage (ICH) has high mortality in the acute phase and poor functional outcome in the majority of survivors. ICH recurrence is a major determinant of long-term prognosis and is the most feared complication of antithrombotic treatment. On the other hand, ICH patients are at high risk of future ischaemic vascular...
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2023 (v1)PublicationUploaded on: February 13, 2024
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2020 (v1)Publication
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Uploaded on: February 14, 2024 -
2020 (v1)Publication
Electroencephalography (EEG) slowing with prealpha dominant frequency (DF) in posterior derivations is a biomarker for dementia with Lewy bodies (DLB) diagnosis, in contrast with Alzheimer's disease (AD). However, an intrasubject re-evaluation of the original data, which contributed to the identification of EEG DLB biomarker, showed that DF was...
Uploaded on: April 14, 2023 -
2022 (v1)Publication
Cortical network modularity underpins cognitive functions, so we hypothesized its progressive derangement along the course of frontotemporal (FTD) and Alzheimer's (AD) dementing diseases. EEG was recorded in 18 FTD, 18 AD, and 20 healthy controls (HC). In the FTD and AD patients, the EEG recordings were performed at the prodromal stage of...
Uploaded on: April 14, 2023 -
2023 (v1)Publication
Introduction: Graph theory models a network by its nodes (the fundamental unit by which graphs are formed) and connections. 'Degree' hubs reflect node centrality (the connection rate), while 'connector' hubs are those linked to several clusters of nodes (mainly long-range connections). Methods: Here, we compared hubs modeled from measures of...
Uploaded on: February 4, 2024 -
2020 (v1)Publication
Background and purpose: Biomarkers support the aetiological diagnosis of neurocognitive disorders in vivo. Incomplete evidence is available to drive clinical decisions; available diagnostic algorithms are generic and not very helpful in clinical practice. The aim was to develop a biomarker-based diagnostic algorithm for mild cognitive...
Uploaded on: April 14, 2023 -
2020 (v1)Publication
Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with the potential to function as clinical aid to radiologists. However, DL models in medical imaging are often trained on public research cohorts with images acquired with a single scanner or with strict protocol harmonization, which is not...
Uploaded on: April 14, 2023 -
2021 (v1)Publication
Introduction: We assessed the influence of education as a proxy of cognitive reserve and age on the dementia with Lewy bodies (DLB) metabolic pattern. Methods: Brain 18F-fluorodeoxyglucose positron emission tomography and clinical/demographic information were available in 169 probable DLB patients included in the European DLB-consortium...
Uploaded on: April 14, 2023