[HTML][HTML] Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions
Removing the bias and variance of multicentre data has always been a challenge in large
scale digital healthcare studies, which requires the ability to integrate clinical features …
scale digital healthcare studies, which requires the ability to integrate clinical features …
Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses
Site differences, or systematic differences in feature distributions across multiple data-
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
acquisition sites, are a known source of heterogeneity that may adversely affect large-scale …
Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites
Background Establishing objective and quantitative neuroimaging biomarkers at individual
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
level can assist in early and accurate diagnosis of major depressive disorder (MDD) …
Subcortical volumes across the lifespan: Data from 18,605 healthy individuals aged 3–90 years
Age has a major effect on brain volume. However, the normative studies available are
constrained by small sample sizes, restricted age coverage and significant methodological …
constrained by small sample sizes, restricted age coverage and significant methodological …
A meta‐analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the …
Schizophrenia is associated with widespread alterations in subcortical brain structure. While
analytic methods have enabled more detailed morphometric characterization, findings are …
analytic methods have enabled more detailed morphometric characterization, findings are …
Neuroimaging in schizophrenia: A review article
In this review article we have consolidated the imaging literature of patients with
schizophrenia across the full spectrum of modalities in radiology including computed …
schizophrenia across the full spectrum of modalities in radiology including computed …
Multimodal meta-analysis of structural gray matter, neurocognitive and social cognitive fMRI findings in schizophrenia patients
M Picó-Pérez, R Vieira… - Psychological …, 2022 - cambridge.org
Neuroimaging research has shown that patients with schizophrenia (SCZ) present brain
structural and functional alterations, but the results across imaging modalities and task …
structural and functional alterations, but the results across imaging modalities and task …
Glymphatic dysfunction correlates with severity of small vessel disease and cognitive impairment in cerebral amyloid angiopathy
Background and purpose Cerebral amyloid angiopathy (CAA) is characterized by β‐amyloid
deposition in cortical and leptomeningeal arterioles, which might result from glymphatic …
deposition in cortical and leptomeningeal arterioles, which might result from glymphatic …
Gradient matching federated domain adaptation for brain image classification
Federated learning has shown its unique advantages in many different tasks, including brain
image analysis. It provides a new way to train deep learning models while protecting the …
image analysis. It provides a new way to train deep learning models while protecting the …
[HTML][HTML] Dear reviewers: Responses to common reviewer critiques about infant neuroimaging studies
The field of adult neuroimaging relies on well-established principles in research design,
imaging sequences, processing pipelines, as well as safety and data collection protocols …
imaging sequences, processing pipelines, as well as safety and data collection protocols …