Candidate biomarkers in psychiatric disorders: state of the field
The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …
aid in objectively diagnosing patients and providing individualized treatment …
Machine learning with neuroimaging: evaluating its applications in psychiatry
Psychiatric disorders are complex, involving heterogeneous symptomatology and
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …
neurobiology that rarely involves the disruption of single, isolated brain structures. In an …
ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
Head motion during functional MRI (fMRI) scanning can induce spurious findings and/or
harm detection of true effects. Solutions have been proposed, including deleting …
harm detection of true effects. Solutions have been proposed, including deleting …
Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
We proposed ICA-AROMA as a strategy for the removal of motion-related artifacts from fMRI
data (Pruim et al., 2015). ICA-AROMA automatically identifies and subsequently removes …
data (Pruim et al., 2015). ICA-AROMA automatically identifies and subsequently removes …
Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: Evidence from whole-brain …
Functional connectivity (FC) patterns obtained from resting-state functional magnetic
resonance imaging data are commonly employed to study neuropsychiatric conditions by …
resonance imaging data are commonly employed to study neuropsychiatric conditions by …
Data quality influences observed links between functional connectivity and behavior
A growing field of research explores links between behavioral measures and functional
connectivity (FC) assessed using resting-state functional magnetic resonance imaging …
connectivity (FC) assessed using resting-state functional magnetic resonance imaging …
Evaluation of denoising strategies to address motion-correlated artifacts in resting-state functional magnetic resonance imaging data from the human connectome …
Like all resting-state functional connectivity data, the data from the Human Connectome
Project (HCP) are adversely affected by structured noise artifacts arising from head motion …
Project (HCP) are adversely affected by structured noise artifacts arising from head motion …
Intrinsic functional connectivity in attention-deficit/hyperactivity disorder: a science in development
Functional magnetic resonance imaging without an explicit task (ie, resting-state functional
magnetic resonance imaging) of individuals with attention-deficit/hyperactivity disorder …
magnetic resonance imaging) of individuals with attention-deficit/hyperactivity disorder …
Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
Abstract Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI)
results in misestimates of brain structure. Because conventional T1w scans are not collected …
results in misestimates of brain structure. Because conventional T1w scans are not collected …
Resting-state functional MRI studies on infant brains: a decade of gap-filling efforts
Resting-state functional MRI (rs-fMRI) is one of the most prevalent brain functional imaging
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …
modalities. Previous rs-fMRI studies have mainly focused on adults and elderly subjects …