Nicolas Guizard
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A Comparison of fully‐automated segmentation pipelines: QyScore® vs FreeSurfer vs FSL vs ANTs Open
Background The gold‐standard for brain segmentation is expert manual segmentation, which is time‐consuming and prone to low inter‐rater reliability. Work refining fully‐automated segmentation pipelines has resulted in many providing fast, …
Precision Medicine in Alzheimer’s Disease (AD): Observed Efficacy Treatment Effects from Blarcamesine Clinical AD Trials Open
Background Precision Medicine represents a transformative approach in treating Alzheimer’s disease (AD), focusing on tailoring interventions based on individual genetic, molecular, clinical and environmental profiles in addition to confirm…
A Patient‐Centric, Digital Multimodal Post‐Market Approval Continuous Monitoring of Drug Safety & Efficacy Platform for Blarcamesine Open
Background There is a critical need to establish robust Real‐World Evidence (RWE) platform for monitoring both clinically relevant benefits and potential mid/long‐term side effects of Alzheimer’s disease (AD) drugs at an individual level, …
A Comparison of fully‐automated segmentation pipelines: QyScore® vs FreeSurfer vs FSL vs ANTs Open
Background The gold‐standard for brain segmentation is expert manual segmentation, which is time‐consuming and prone to low inter‐rater reliability. Work refining fully‐automated segmentation pipelines has resulted in many providing fast, …
The relevance of MRI‐based AI Predictive Modelling for Treatment's response sand personalized Clinical Trials design Open
Background The heterogeneity of patient clinical progression is a key challenge in Alzheimer's disease (AD). This is especially the case when conducting disease‐modifying clinical trials in patients with mild cognitive impairment (MCI) and…
View article: Oral Blarcamesine Phase IIb/III Trial Confirms Identified Precision Medicine Patient Population – Significant Broad Clinical and Quality of Life Improvements for Early Alzheimer’s Disease Patients
Oral Blarcamesine Phase IIb/III Trial Confirms Identified Precision Medicine Patient Population – Significant Broad Clinical and Quality of Life Improvements for Early Alzheimer’s Disease Patients Open
IMPORTANCE There are no approved oral disease-modifying treatments for Alzheimer’s disease (AD) with the ability to prolong time in a stable disease state and with clinically meaningful outcomes clear to patients and caregivers. DESIGN The…
Clinical Phenotypes of Alzheimer’s Disease: Atrophy Patterns and their Pathological Correlates Open
Background Recent studies highlight distinct patterns of cortical atrophy between amnestic (typical) and non‐amnestic (atypical, with subtypes: behavioural, dysexecutive, logopenic and visuospatial) clinical phenotypes of Alzheimer’s disea…
Clinical Phenotypes of Alzheimer's Disease: Atrophy Patterns and their Pathological Correlates Open
Background Recent studies highlight distinct patterns of cortical atrophy between amnestic (typical) and non‐amnestic (atypical, with subtypes: behavioural, dysexecutive, logopenic and visuospatial) clinical phenotypes of Alzheimer’s disea…
Validation of QyScore® White Matter Hyperintensity (WMH) U‐Net segmentation algorithm against expert manual consensus and comparison with currently available state‐of‐the‐art methods Open
Background Detection and quantification of White Matter Hyperintensities (WMH) are clinically important across multiple CNS disorders and neurodegenerative dementias. However, the prohibitively labor‐intensive nature of manual segmentation…
Qypredict®: A promising prognostic tool for anti‐amyloid therapy patient prioritization Open
Background The approval of anti‐amyloid therapies has led to a breakthrough in the treatment of Alzheimer’s disease. However, given these treatments remain expensive and are associated with significant side effects, identifying patients th…
View article: Long-term effects of SARS-CoV-2 infection in patients with and without chemosensory disorders at disease onset: a psychophysical and magnetic resonance imaging exploratory study
Long-term effects of SARS-CoV-2 infection in patients with and without chemosensory disorders at disease onset: a psychophysical and magnetic resonance imaging exploratory study Open
A preserved sense of smell and taste allows us to understand many environmental “messages” and results in meaningfully improvements to quality of life. With the COVID-19 pandemic, it became clear how important these senses are for social a…
An automated pipeline for Centiloid quantification of amyloid‐β using multiple <sup>11</sup>C‐PiB‐PET and <sup>18</sup>F‐PET tracers Open
Background Quantitative measures of amyloid‐β (Aβ) pathology using positron emission tomography (PET) imaging are sensitive to identify pathological changes early in Alzheimer’s disease (AD). The Centiloid scale aims to standardize these i…
Clinical Phenotypes of Alzheimer’s Disease: Pathological Correlates of Regional Cortical Volume Open
Background Recent studies highlight distinct patterns of cortical atrophy in amnestic (typical) and non‐amnestic (atypical – behavioural, dysexecutive and visuospatial) clinical phenotypes of Alzheimer’s disease (AD). The current study aim…
QyPredict prognostic model enriches selection for faster decliners in mild cognitive impairment Open
Background The suboptimal selection of patients is a key challenge for disease‐modifying trials in mild cognitive impairment (MCI) and Alzheimer’s disease. Improved selection strategies are urgently needed to better power trials. Recent ad…
Validation of QyScore’s® fully automated quantitative image segmentation tools against expert manual gold‐standards Open
Background Quantitative imaging provides valuable information for early detection, disease progression and treatment response monitoring. Manual segmentation is the current gold‐standard, but is prohibitively labour‐intensive for large sca…
Validation of QyScore’s® fully automated quantitative image segmentation tools against expert manual gold‐standards Open
Background Quantitative imaging provides valuable information for early detection, disease progression and treatment response monitoring. Manual segmentation is the current gold‐standard, but is prohibitively labour‐intensive for large sca…
An automated pipeline for Centiloid quantification of amyloid‐β using multiple 11C‐PiB‐PET and 18F‐PET tracers Open
Background Quantitative measures of amyloid‐ß (Aß) pathology using positron emission tomography (PET) imaging are sensitive to identify pathological changes early in Alzheimer’s disease (AD). The Centiloid scale aims to standardize these i…
QyPredict prognostic model enriches selection for faster decliners in mild cognitive impairment Open
Background The suboptimal selection of patients is a key challenge for disease‐modifying trials in mild cognitive impairment (MCI) and Alzheimer’s disease. Improved selection strategies are urgently needed to better power trials. Recent ad…
Structural plasticity of the social brain: Differential change after socio-affective and cognitive mental training Open
Although neuroscientific research has revealed experience-dependent brain changes across the life span in sensory,motor, and cognitive domains, plasticity relating to social capacities remains largely unknown. To investigate whetherthe tar…
Structural plasticity of the social brain: Differential change after socio-affective and cognitive mental training Open
Training to understand the feelings and thoughts of others induces structural changes in two divergent social brain networks.
A novel approach for high-resolution image reconstruction for in-vivo fetal brain MRI Open
In the present study, we propose an automatic framework for obtaining an accurate representation of the in-vivo fetal brain for the quantification of cerebral volume and cortical surface. One of the biggest
HeMIS: Hetero-Modal Image Segmentation Open
We introduce a deep learning image segmentation framework that is extremely robust to missing imaging modalities. Instead of attempting to impute or synthesize missing data, the proposed approach learns, for each modality, an embedding of …