Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Neuroimaging-based single subject prediction of brain disorders has gained increasing
attention in recent years. Using a variety of neuroimaging modalities such as structural …
attention in recent years. Using a variety of neuroimaging modalities such as structural …
Multimodal fusion of brain imaging data: a key to finding the missing link (s) in complex mental illness
VD Calhoun, J Sui - Biological psychiatry: cognitive neuroscience and …, 2016 - Elsevier
It is becoming increasingly clear that combining multimodal brain imaging data provides
more information for individual subjects by exploiting the rich multimodal information that …
more information for individual subjects by exploiting the rich multimodal information that …
[HTML][HTML] TractSeg-Fast and accurate white matter tract segmentation
The individual course of white matter fiber tracts is an important factor for analysis of white
matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography …
matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography …
Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes
Schizophrenia has been conceived as a disorder of brain connectivity, but it is unclear how
this network phenotype is related to the underlying genetics. We used morphometric …
this network phenotype is related to the underlying genetics. We used morphometric …
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 …
[HTML][HTML] Multimodal neuroimaging in schizophrenia: description and dissemination
CJ Aine, HJ Bockholt, JR Bustillo, JM Cañive… - Neuroinformatics, 2017 - Springer
In this paper we describe an open-access collection of multimodal neuroimaging data in
schizophrenia for release to the community. Data were acquired from approximately 100 …
schizophrenia for release to the community. Data were acquired from approximately 100 …
Individual-specific functional connectivity markers track dimensional and categorical features of psychotic illness
Neuroimaging studies of psychotic disorders have demonstrated abnormalities in structural
and functional connectivity involving widespread brain networks. However, these group …
and functional connectivity involving widespread brain networks. However, these group …
Resting-state thalamic dysconnectivity in schizophrenia and relationships with symptoms
BackgroundSchizophrenia (SZ) is a severe neuropsychiatric disorder associated with
disrupted connectivity within the thalamic-cortico-cerebellar network. Resting-state …
disrupted connectivity within the thalamic-cortico-cerebellar network. Resting-state …
[HTML][HTML] Cognitive impairment in schizophrenia: relationships with cortical thickness in fronto-temporal regions, and dissociability from symptom severity
Cognitive impairments are a core and persistent characteristic of schizophrenia with
implications for daily functioning. These show only limited response to antipsychotic …
implications for daily functioning. These show only limited response to antipsychotic …
[HTML][HTML] Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners
Highlights•We present Neuroharmony, a harmonization tool for images from unseen
scanners.•We developed Neuroharmony using a total of 15,026 sMRI images.•The tool was …
scanners.•We developed Neuroharmony using a total of 15,026 sMRI images.•The tool was …