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Article
Open AccessThe brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression
Cross-sectional studies have demonstrated strong associations between physical frailty and depression. However, the evidence from prospective studies is limited. Here, we analyze data of 352,277 participants f...
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Article
Open AccessOral ketamine effects on dynamics of functional network connectivity in patients treated for chronic suicidality
The underlying brain mechanisms of ketamine in treating chronic suicidality and the characteristics of patients who will benefit from ketamine treatment remain unclear. To address these gaps, we investigated t...
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Article
Decentralized Mixed Effects Modeling in COINSTAC
Performing group analysis on magnetic resonance imaging (MRI) data with linear mixed-effects (LME) models is challenging due to its large dimensionality and inherent multi-level covariance structure. In additi...
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Article
SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional Networks
Functional networks (FNs) hold significant promise in understanding brain function. Independent component analysis (ICA) has been applied in estimating FNs from functional magnetic resonance imaging (fMRI). Ho...
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Article
Open AccessCorrection: Obesity and brain structure in schizophrenia – ENIGMA study in 3021 individuals
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Chapter and Conference Paper
A Nearest Neighbor Propagation-Based Partial Label Learning Method for Identifying Biotypes of Psychiatric Disorders
Diagnoses of psychiatric disorders only based on clinical presentation are less reliable. In clinical practice, it is difficult to distinguish bipolar disorder with psychosis (BPP), schizoaffective disorder (S...
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Chapter and Conference Paper
Group Information Guided Smooth Independent Component Analysis Method for Brain Functional Network Analysis
Independent component analysis (ICA) is widely used for extracting brain functional network (FN) from fMRI data, but the low signal-to-noise ratio in fMRI data makes FNs contain a lot of noise. Previous method...
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Chapter and Conference Paper
Extraction of One Time Point Dynamic Group Features via Tucker Decomposition of Multi-subject FMRI Data: Application to Schizophrenia
Group temporal and spatial features of multi-subject fMRI data are essential for studying mental disorders, especially those exhibiting dynamic properties of brain function. Taking advantages of a low-rank Tuc...
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Article
Open AccessFunctional connectivity uniqueness and variability? Linkages with cognitive and psychiatric problems in children
Brain functional connectivity (FC) derived from functional magnetic resonance imaging has been serving as a potential ‘fingerprint’ for adults. However, cross-scan variation of FC can be substantial and carrie...
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Article
Open AccessStructure/function interrelationships and illness insight in patients with schizophrenia: a multimodal MRI data fusion study
Illness insight in schizophrenia (SZ) has an important impact on treatment outcome, integration into society and can vary over the course of the disorder. To deal with and treat reduced or absent illness insig...
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Article
Revisiting Functional Dysconnectivity: a Review of Three Model Frameworks in Schizophrenia
Over the last decade, evidence suggests that a combination of behavioral and neuroimaging findings can help illuminate changes in functional dysconnectivity in schizophrenia. We review the recent connectivity ...
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Article
Open AccessAberrant brain dynamics and spectral power in children with ADHD and its subtypes
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children, usually categorized as three subtypes, predominant inattention (ADHD-I), predominant hyperactivity-impuls...
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Article
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains
With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neurom...
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Article
Open AccessCorrection: Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder
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Article
Open AccessGenomic patterns linked to gray matter alterations underlying working memory deficits in adults and adolescents with attention-deficit/hyperactivity disorder
Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder, with onset in childhood and a considerable likelihood to persist into adulthood. Our previous work has identif...
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Article
Open AccessCerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes
Electroconvulsive therapy (ECT) is the most effective treatment for severe depression and works by applying an electric current through the brain. The applied current generates an electric field (E-field) and ...
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Article
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data
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Article
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data
Identification of informative signatures from electrophysiological signals is important for understanding brain developmental patterns, where techniques such as magnetoencephalography (MEG) are particularly us...
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Article
Open AccessLinks between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder
Although electroconvulsive therapy (ECT) is an effective treatment for depression, ECT cognitive impairment remains a major concern. The neurobiological underpinnings and mechanisms underlying ECT antidepressa...
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Article
Decentralized Brain Age Estimation Using MRI Data
Recent studies have demonstrated that neuroimaging data can be used to estimate biological brain age, as it captures information about the neuroanatomical and functional changes the brain undergoes during deve...
