AIMC Topic: Connectome
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Spread of α-synuclein pathology through the brain connectome is modulated by selective vulnerability and predicted by network analysis.
Nature neuroscience
Jul 25, 2019
Studies of patients afflicted by neurodegenerative diseases suggest that misfolded proteins spread through the brain along anatomically connected networks, prompting progressive decline. Recently, mouse models have recapitulated the cell-to-cell tran...
Novel relative relevance score for estimating brain connectivity from fMRI data using an explainable neural network approach.
Journal of neuroscience methods
Jul 22, 2019
BACKGROUND: Functional integration or connectivity in brain is directional, non-linear as well as variable in time-lagged dependence. Deep neural networks (DNN) have become an indispensable tool everywhere, by learning higher levels of abstract and c...
Deep learning reveals untapped information for local white-matter fiber reconstruction in diffusion-weighted MRI.
Magnetic resonance imaging
Jul 16, 2019
PURPOSE: Diffusion-weighted magnetic resonance imaging (DW-MRI) is of critical importance for characterizing in-vivo white matter. Models relating microarchitecture to observed DW-MRI signals as a function of diffusion sensitization are the lens thro...
Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT).
NeuroImage. Clinical
Jul 2, 2019
PURPOSE: Adolescent major depressive disorder (MDD) is a highly prevalent, incapacitating and costly illness. Many depressed teens do not improve with cognitive behavioral therapy (CBT), a first-line treatment for adolescent MDD, and face devastating...
Spectral signatures of serotonergic psychedelics and glutamatergic dissociatives.
NeuroImage
Jun 24, 2019
Classic serotonergic psychedelics are remarkable for their capacity to induce reversible alterations in consciousness of the self and the surroundings, mediated by agonism at serotonin 5-HT receptors. The subjective effects elicited by dissociative d...
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
NeuroImage
Jun 18, 2019
The specificity and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on preprocessing choices, such as the parcellation scheme used to define regions of interest (ROIs). In this study, we critically evaluate the effect of bra...
Machine learning identifies unaffected first-degree relatives with functional network patterns and cognitive impairment similar to those of schizophrenia patients.
Human brain mapping
May 30, 2019
Schizophrenia (SCZ) patients and their unaffected first-degree relatives (FDRs) share similar functional neuroanatomy. However, it remains largely unknown to what extent unaffected FDRs with functional neuroanatomy patterns similar to patients can be...
Multivariate resting-state functional connectivity predicts responses to real and sham acupuncture treatment in chronic low back pain.
NeuroImage. Clinical
May 28, 2019
Despite the high prevalence and socioeconomic impact of chronic low back pain (cLBP), treatments for cLBP are often unsatisfactory, and effectiveness varies widely across patients. Recent neuroimaging studies have demonstrated abnormal resting-state ...
Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation.
NeuroImage. Clinical
Mar 31, 2019
Adolescent binge drinking has been associated with higher risks for the development of many health problems throughout the lifespan. Adolescents undergo multiple changes that involve the co-development processes of brain, personality and behavior; th...
Evaluating the evidence for biotypes of depression: Methodological replication and extension of.
NeuroImage. Clinical
Mar 27, 2019
BACKGROUND: Psychiatric disorders are highly heterogeneous, defined based on symptoms with little connection to potential underlying biological mechanisms. A possible approach to dissect biological heterogeneity is to look for biologically meaningful...
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