4.7 Article

An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data

Related references

Note: Only part of the references are listed.
Article Psychiatry

Mapping relationships among schizophrenia, bipolar and schizoaffective disorders: A deep classification and clustering framework using fMRI time series

Weizheng Yan et al.

Summary: This study proposes a framework for the classification and clustering of psychiatric disorders using brain imaging data. They developed a new multi-scale recurrent neural network model and successfully achieved multi-class classification of mental illnesses, visualizing the differences between different disorders. They also identified biomarkers related to the classification.

SCHIZOPHRENIA RESEARCH (2022)

Article Radiology, Nuclear Medicine & Medical Imaging

CT prostate segmentation based on synthetic MRI-aided deep attention fully convolution network

Yang Lei et al.

MEDICAL PHYSICS (2020)

Article Biochemistry & Molecular Biology

A neuroimaging biomarker for striatal dysfunction in schizophrenia

Ang Li et al.

NATURE MEDICINE (2020)

Article Biochemical Research Methods

Toward a unified framework for interpreting machine-learning models in neuroimaging

Lada Kohoutova et al.

NATURE PROTOCOLS (2020)

Article Multidisciplinary Sciences

Resting brain dynamics at different timescales capture distinct aspects of human behavior

Raphael Liegeois et al.

NATURE COMMUNICATIONS (2019)

Review Neurosciences

Schizophrenia, Dopamine and the Striatum: From Biology to Symptoms

Robert A. McCutcheon et al.

TRENDS IN NEUROSCIENCES (2019)

Article Mathematical & Computational Biology

Modeling the Dynamics of Human Brain Activity with Recurrent Neural Networks

Umut Guclu et al.

FRONTIERS IN COMPUTATIONAL NEUROSCIENCE (2017)

Article Psychiatry

Baseline Striatal Functional Connectivity as a Predictor of Response to Antipsychotic Drug Treatment

Deepak K. Sarpal et al.

AMERICAN JOURNAL OF PSYCHIATRY (2016)

Review Neurosciences

THE INS AND OUTS OF THE STRIATUM: ROLE IN DRUG ADDICTION

L. M. Yager et al.

NEUROSCIENCE (2015)

Article Neurosciences

Group information guided ICA for fMRI data analysis

Yuhui Du et al.

NEUROIMAGE (2013)

Article Multidisciplinary Sciences

Correspondence of the brain's functional architecture during activation and rest

Stephen M. Smith et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2009)

Article Biochemistry & Molecular Biology

Development of Large-Scale Functional Brain Networks in Children

Kaustubh Supekar et al.

PLOS BIOLOGY (2009)

Review Neurosciences

The role of the cerebellum in schizophrenia

Nancy C. Andreasen et al.

BIOLOGICAL PSYCHIATRY (2008)

Article Neurosciences

Dissociable intrinsic connectivity networks for salience processing and executive control

William W. Seeley et al.

JOURNAL OF NEUROSCIENCE (2007)