The human connectome in Alzheimer disease—relationship to biomarkers and genetics
The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …
resulting in cognitive impairment. The results of recent connectomics studies have now …
Epigenome-wide association studies: current knowledge, strategies and recommendations
The aetiology and pathophysiology of complex diseases are driven by the interaction
between genetic and environmental factors. The variability in risk and outcomes in these …
between genetic and environmental factors. The variability in risk and outcomes in these …
Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes
Patients with major depressive disorder (MDD) exhibit concurrent deficits in both sensory
and higher-order cognitive processing. Connectome studies have suggested a principal …
and higher-order cognitive processing. Connectome studies have suggested a principal …
[HTML][HTML] Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan
As medical imaging enters its information era and presents rapidly increasing needs for big
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
data analytics, robust pooling and harmonization of imaging data across diverse cohorts …
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosis
Purpose Recently, functional brain networks (FBN) have been used for the classification of
neurological disorders, such as Autism Spectrum Disorders (ASD). Neurological disorder …
neurological disorders, such as Autism Spectrum Disorders (ASD). Neurological disorder …
[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Challenges and future directions for representations of functional brain organization
A key principle of brain organization is the functional integration of brain regions into
interconnected networks. Functional MRI scans acquired at rest offer insights into functional …
interconnected networks. Functional MRI scans acquired at rest offer insights into functional …
[HTML][HTML] Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA
A common limitation of neuroimaging studies is their small sample sizes. To overcome this
hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) …
hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) …
[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 …
Mitigating site effects in covariance for machine learning in neuroimaging data
To acquire larger samples for answering complex questions in neuroscience, researchers
have increasingly turned to multi‐site neuroimaging studies. However, these studies are …
have increasingly turned to multi‐site neuroimaging studies. However, these studies are …