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Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation

Translational psychiatry, 2021-11, Vol.11 (1), p.551-551, Article 551

2021

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Cerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes

Translational psychiatry, 2023-02, Vol.13 (1), p.43-43, Article 43

2023

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Investigation of Brain Functional Networks in Children Suffering from Attention Deficit Hyperactivity Disorder

Brain topography, 2020-11, Vol.33 (6), p.733-750

2020

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Alzheimer's Disease Projection From Normal to Mild Dementia Reflected in Functional Network Connectivity: A Longitudinal Study

Frontiers in neural circuits, 2021-01, Vol.14, p.593263-593263

2021

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Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity

Frontiers in neural circuits, 2021-03, Vol.15, p.649417-649417

2021

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Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder

Frontiers in human neuroscience, 2021-07, Vol.15, p.689488-689488

2021

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Two-step clustering-based pipeline for big dynamic functional network connectivity data

Frontiers in neuroscience, 2022-07, Vol.16, p.895637-895637

2022

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Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

Frontiers in neuroinformatics, 2023-03, Vol.17, p.1123376-1123376

2023

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The overlap across psychotic disorders: A functional network connectivity analysis

International journal of psychophysiology, 2024-07, Vol.201, p.112354, Article 112354

2024

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Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia

Schizophrenia research, 2021-02, Vol.228, p.103-111

2021

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Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease

Brain connectivity, 2023-08, Vol.13 (6), p.334

2023

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Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder

Brain connectivity, 2021-12, Vol.11 (10), p.838

2021

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Whole-Brain Functional Connectivity Dynamics Associated With Electroconvulsive Therapy Treatment Response

Biological psychiatry : cognitive neuroscience and neuroimaging, 2022-03, Vol.7 (3), p.312-322

2022

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Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning

Brain stimulation, 2021-11, Vol.14 (6), p.1511-1519

2021

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A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia

2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), 2020, p.112-115

2020

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Default mode network dynamic functional network connectivity predicts psychotic symptom severity

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, Vol.2022, p.247-250

2022

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A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019, Vol.2019, p.4466-4469

2019

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A two-step clustering-based pipeline for big dynamic functional network connectivity data

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022, Vol.2022, p.3741-3744

2022

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Towards a multimodal neuroimaging-based risk score for Alzheimer's disease by combining clinical and large N>37000 population data

2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4

2023

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A Spark-based Analytic Pipeline for Seizure Detection in EEG Big Data Streams

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.4003-4006

2018

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Dynamic patterns within the default mode network in schizophrenia subgroups

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.1640-1643

2021

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IEEE_Xplore

Brain age gap difference between healthy and mild dementia subjects: Functional network connectivity analysis

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.1636-1639

2021

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IEEE_Xplore

Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.1424-1427

2020

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The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease

NeuroImage clinical, 2023-01, Vol.37, p.103363-103363, Article 103363

2023

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Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020, Vol.2020, p.1493-1496

2020

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Intraoperative neural signals predict rapid antidepressant effects of deep brain stimulation

Cerebro-cerebellar functional neuroplasticity mediates the effect of electric field on electroconvulsive therapy outcomes

Investigation of Brain Functional Networks in Children Suffering from Attention Deficit Hyperactivity Disorder

Alzheimer's Disease Projection From Normal to Mild Dementia Reflected in Functional Network Connectivity: A Longitudinal Study

Aberrant Dynamic Functional Connectivity of Default Mode Network in Schizophrenia and Links to Symptom Severity

Dynamic Functional Connectivity Predicts Treatment Response to Electroconvulsive Therapy in Major Depressive Disorder

Two-step clustering-based pipeline for big dynamic functional network connectivity data

Novel methods for elucidating modality importance in multimodal electrophysiology classifiers

The overlap across psychotic disorders: A functional network connectivity analysis

Multiple overlapping dynamic patterns of the visual sensory network in schizophrenia

Disrupted Dynamic Functional Network Connectivity Among Cognitive Control Networks in the Progression of Alzheimer's Disease

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder

Whole-Brain Functional Connectivity Dynamics Associated With Electroconvulsive Therapy Treatment Response

Identifying the neurophysiological effects of memory-enhancing amygdala stimulation using interpretable machine learning

A Machine Learning Model for Exploring Aberrant Functional Network Connectivity Transition in Schizophrenia

Default mode network dynamic functional network connectivity predicts psychotic symptom severity

A Cloud-based Framework for Implementing Portable Machine Learning Pipelines for Neural Data Analysis

A two-step clustering-based pipeline for big dynamic functional network connectivity data

Towards a multimodal neuroimaging-based risk score for Alzheimer's disease by combining clinical and large N>37000 population data

A Spark-based Analytic Pipeline for Seizure Detection in EEG Big Data Streams

Dynamic patterns within the default mode network in schizophrenia subgroups

Brain age gap difference between healthy and mild dementia subjects: Functional network connectivity analysis

Visualizing Functional Network Connectivity Difference between Healthy Control and Major Depressive Disorder Using an Explainable Machine-learning Method

The link between static and dynamic brain functional network connectivity and genetic risk of Alzheimer's disease

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder

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