AIMC Topic: Connectome

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Sparse Scanning Electron Microscopy Data Acquisition and Deep Neural Networks for Automated Segmentation in Connectomics.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Jun 1, 2020
With the growing importance of three-dimensional and very large field of view imaging, acquisition time becomes a serious bottleneck. Additionally, dose reduction is of importance when imaging material like biological tissue that is sensitive to elec...
Neural Networks, Computer Neurons Microscopy, Electron, Scanning Connectome Imaging, Three-Dimensional Image Processing, Computer-Assisted Deep Learning
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Functional, Anatomical, and Morphological Networks Highlight the Role of Basal Ganglia-Thalamus-Cortex Circuits in Schizophrenia.

Schizophrenia bulletin Feb 26, 2020
Evidence from electrophysiological, functional, and structural research suggests that abnormal brain connectivity plays an important role in the pathophysiology of schizophrenia. However, most previous studies have focused on single modalities only, ...
Humans Machine Learning Diffusion Tensor Imaging Basal Ganglia Magnetic Resonance Imaging Nerve Net Schizophrenia Thalamus Cerebral Cortex Connectome Neuroimaging Adult Biomarkers Female Male Middle Aged
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Connectome-based individualized prediction of loneliness.

Social cognitive and affective neuroscience May 17, 2019
Loneliness is an increasingly prevalent condition linking with enhanced morbidity and premature mortality. Despite recent proposal on medicalization of loneliness, so far no effort has been made to establish a model capable of predicting loneliness a...
Emotions Connectome Nerve Net Adolescent Magnetic Resonance Imaging Neuroticism Loneliness Extraversion, Psychological Machine Learning Brain Young Adult Male Female Humans
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Imaging Connectomics and the Understanding of Brain Diseases.

Advances in experimental medicine and biology Jan 1, 2019
Neuroimaging-based personalized medicine is emerging to characterize brain disorders and their evolution at the patient level. In this chapter, we present the most classic methods used to infer large-scale brain connectivity based on functional MRI. ...
Brain Diseases Neural Networks, Computer Connectome Brain Magnetic Resonance Imaging Humans Linear Models
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Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy.

Schizophrenia bulletin Aug 20, 2018
Specific biomarker reflecting neurobiological substrates of schizophrenia (SZ) is required for its diagnosis and treatment selection of SZ. Evidence from neuroimaging has implicated disrupted functional connectivity in the pathophysiology. We aimed t...
Humans Female Reproducibility of Results Brain Schizophrenia Male Connectome Magnetic Resonance Imaging Image Processing, Computer-Assisted Support Vector Machine Young Adult Adult
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Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism Cohort.

Brain connectivity Oct 1, 2017
Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brain markers are unknown. Machine learning approaches can identify patterns in imaging data that predict diagnostic status, but most studies using functi...
Connectome Magnetic Resonance Imaging Algorithms Models, Neurological Brain Mapping Cohort Studies Autism Spectrum Disorder Brain Adult Child Humans Female Male Machine Learning Young Adult Adolescent
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Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance.

Schizophrenia bulletin Jul 1, 2016
Previous studies have shown that structural brain changes are among the best-studied candidate markers for schizophrenia (SZ) along with functional connectivity (FC) alterations of resting-state (RS) patterns. This study aimed to investigate effects ...
Adult Support Vector Machine Humans Pattern Recognition, Automated Schizophrenia Magnetic Resonance Imaging Connectome Male Female Middle Aged
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