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Identification of depression subtypes and relevant brain regions using a data-driven approach

Scientific reports, 2018-09, Vol.8 (1), p.14082-13, Article 14082

2018

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Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

PloS one, 2017-07, Vol.12 (7), p.e0179638-e0179638

2017

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Decreased physical activity with subjective pleasure is associated with avoidance behaviors

Scientific reports, 2022-02, Vol.12 (1), p.2832-2832, Article 2832

2022

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Altered resting-state functional connectivity of the frontal-striatal circuit in elderly with apathy

PloS one, 2021-12, Vol.16 (12), p.e0261334-e0261334

2021

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Kynurenic acid is a potential overlapped biomarker between diagnosis and treatment response for depression from metabolome analysis

Scientific reports, 2020-10, Vol.10 (1), p.16822-16822, Article 16822

2020

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Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions

PloS one, 2017-10, Vol.12 (10), p.e0186566-e0186566

2017

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Boiling time effect on CHF enhancement in pool boiling of nanofluids

International journal of heat and mass transfer, 2012-04, Vol.55 (9-10), p.2719-2725

2012

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Generalizable brain network markers of major depressive disorder across multiple imaging sites

PLoS biology, 2020-12, Vol.18 (12), p.e3000966-e3000966

2020

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Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training

NeuroImage (Orlando, Fla.), 2021-12, Vol.245, p.118733-118733, Article 118733

2021

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Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data

BMC public health, 2023-01, Vol.23 (1), p.34-34, Article 34

2023

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Pulse pressure is associated with cognitive performance in Japanese non-demented population: a cross-sectional study

BMC neurology, 2022-04, Vol.22 (1), p.137-137, Article 137

2022

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A multi-site, multi-disorder resting-state magnetic resonance image database

Scientific data, 2021-08, Vol.8 (1), p.227-227, Article 227

2021

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Personality classification enhances blood metabolome analysis and biotyping for major depressive disorders: two-species investigation

Journal of affective disorders, 2021-01, Vol.279, p.20-30

2021

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Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder

Cerebral cortex (New York, N.Y. 1991), 2019-01, Vol.29 (1), p.202-214

2019

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Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants

Scientific reports, 2020-02, Vol.10 (1), p.3542-3542, Article 3542

2020

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Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression

Scientific reports, 2023-04, Vol.13 (1), p.6349-6349, Article 6349

2023

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Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO

PloS one, 2015-05, Vol.10 (5), p.e0123524-e0123524

2015

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Editorial: The development of biomarkers in psychiatry

Frontiers in psychiatry, 2022-12, Vol.13, p.1075993-1075993

2022

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Effects of behavioral activation on default mode network connectivity in subthreshold depression: A preliminary resting-state fMRI study

Journal of affective disorders, 2018-02, Vol.227, p.156-163

2018

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Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data

Journal of affective disorders, 2023-04, Vol.326, p.262-266

2023

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Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI

Frontiers in psychiatry, 2020-05, Vol.11, p.400-400

2020

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Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder

Journal of affective disorders, 2016-04, Vol.194, p.135-143

2016

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Introduction to the feature: The horizon of deep learning from the perspective of cognitive science

Cognitive Studies: Bulletin of the Japanese Cognitive Science Society, 2022/03/01, Vol.29(1), pp.3-4

2022

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Behavioral activation can normalize neural hypoactivation in subthreshold depression during a monetary incentive delay task

Journal of affective disorders, 2016-01, Vol.189, p.254-262

2016

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Identification of depression subtypes and relevant brain regions using a data-driven approach

Prediction of clinical depression scores and detection of changes in whole-brain using resting-state functional MRI data with partial least squares regression

Decreased physical activity with subjective pleasure is associated with avoidance behaviors

Altered resting-state functional connectivity of the frontal-striatal circuit in elderly with apathy

Kynurenic acid is a potential overlapped biomarker between diagnosis and treatment response for depression from metabolome analysis

Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias

Multiple co-clustering based on nonparametric mixture models with heterogeneous marginal distributions

Boiling time effect on CHF enhancement in pool boiling of nanofluids

Generalizable brain network markers of major depressive disorder across multiple imaging sites

Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training

Day-to-day regularity and diurnal switching of physical activity reduce depression-related behaviors: a time-series analysis of wearable device data

Pulse pressure is associated with cognitive performance in Japanese non-demented population: a cross-sectional study

A multi-site, multi-disorder resting-state magnetic resonance image database

Personality classification enhances blood metabolome analysis and biotyping for major depressive disorders: two-species investigation

Distinctive Neuroanatomical Substrates for Depression in Bipolar Disorder versus Major Depressive Disorder

Primary functional brain connections associated with melancholic major depressive disorder and modulation by antidepressants

Resting-state functional connectivity disruption between the left and right pallidum as a biomarker for subthreshold depression

Toward Probabilistic Diagnosis and Understanding of Depression Based on Functional MRI Data Analysis with Logistic Group LASSO

Editorial: The development of biomarkers in psychiatry

Effects of behavioral activation on default mode network connectivity in subthreshold depression: A preliminary resting-state fMRI study

Verification of the brain network marker of major depressive disorder: Test-retest reliability and anterograde generalization performance for newly acquired data

Enhancing Multi-Center Generalization of Machine Learning-Based Depression Diagnosis From Resting-State fMRI

Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder

Introduction to the feature: The horizon of deep learning from the perspective of cognitive science

Behavioral activation can normalize neural hypoactivation in subthreshold depression during a monetary incentive delay task

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