Improving the diagnostic accuracy for major depressive disorder using machine learning algorithms integrating clinical and near-infrared spectroscopy data

fNIRS Evaluation of Frontal and Temporal Cortex Activation by Verbal Fluency Task and High-Level Cognition Task for Detecting Anxiety and Depression

(2021) Xuenan Lang et al.   Frontiers in Psychiatry

Classifying Major Depressive Disorder Using fNIRS During Motor Rehabilitation

(2020) Yibo Zhu et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Diagnostic and Predictive Applications of Functional Near-Infrared Spectroscopy for Major Depressive Disorder: A Systematic Review

(2020) Cyrus S. H. Ho et al.   Frontiers in Psychiatry

Automated classification of depression from structural brain measures across two independent community‐based cohorts

(2020) Aleks Stolicyn et al.   HUMAN BRAIN MAPPING

Automated Thresholding Method for fNIRS-Based Functional Connectivity Analysis: Validation With a Case Study on Alzheimer’s Disease

(2020) Yee Ling Chan et al.   IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING

Connectome-Based Biomarkers Predict Subclinical Depression and Identify Abnormal Brain Connections With the Lateral Habenula and Thalamus

(2019) Yunkai Zhu et al.   Frontiers in Psychiatry

Recommendations for motion correction of infant fNIRS data applicable to multiple data sets and acquisition systems

(2019) Renata Di Lorenzo et al.   NEUROIMAGE

The rise and fall of MRI studies in major depressive disorder

(2019) Chuanjun Zhuo et al.   Translational Psychiatry

Associations between loneliness and perceived social support and outcomes of mental health problems: a systematic review

(2018) Jingyi Wang et al.   BMC Psychiatry

Machine learning in major depression: From classification to treatment outcome prediction

(2018) Shuang Gao et al.   CNS Neuroscience & Therapeutics

Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression

(2018) Nikolaos Koutsouleris et al.   JAMA Psychiatry

Right brain, left brain in depressive disorders: Clinical and theoretical implications of behavioral, electrophysiological and neuroimaging findings

(2017) Gerard E. Bruder et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

Therapist self-disclosure and the therapeutic alliance in the treatment of eating problems

(2017) Laura M. Simonds et al.   Eating Disorders

Prediction of Individual Response to Electroconvulsive Therapy via Machine Learning on Structural Magnetic Resonance Imaging Data

(2016) Ronny Redlich et al.   JAMA Psychiatry

Studying depression using imaging and machine learning methods

(2016) Meenal J. Patel et al.   NeuroImage-Clinical

Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification

(2016) Igor O. Korolev et al.   PLoS One

Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction

(2015) Meenal J. Patel et al.   INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY

Reduced prefrontal activation during performance of the Iowa Gambling Task in patients with bipolar disorder

(2015) Yasuki Ono et al.   PSYCHIATRY RESEARCH-NEUROIMAGING

Neuroimaging-aided differential diagnosis of the depressive state

(2013) Ryu Takizawa et al.   NEUROIMAGE

A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology

(2013) Felix Scholkmann et al.   NEUROIMAGE

Quantitative evaluation of deep and shallow tissue layers' contribution to fNIRS signal using multi-distance optodes and independent component analysis

(2013) Tsukasa Funane et al.   NEUROIMAGE

A new type of scale for determining remission from depression: The Remission from Depression Questionnaire

(2012) Mark Zimmerman et al.   JOURNAL OF PSYCHIATRIC RESEARCH

Addressing Suicidality in Primary Care Settings

(2012) J. Michael Bostwick et al.   Current Psychiatry Reports

Reduced frontopolar activation during verbal fluency task in schizophrenia: A multi-channel near-infrared spectroscopy study

(2007) Ryu Takizawa et al.   SCHIZOPHRENIA RESEARCH