Literature DB >> 27310296

Neurofeedback training for major depressive disorder: recent developments and future directions.

Matthew D Sacchet1, Ian H Gotlib1.   

Abstract

Entities:  

Keywords:  Major depressive disorder (MDD); biofeedback; brain manipulation; functional connectivity; machine learning; neurofeedback; training; treatment

Year:  2016        PMID： 27310296      PMCID： PMC5018155          DOI： 10.1080/14737175.2016.1199959

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN： 1473-7175            Impact factor:   4.618


× No keyword cloud information.
  17 in total

Review 1.  Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010.

Authors:  Harvey A Whiteford; Louisa Degenhardt; Jürgen Rehm; Amanda J Baxter; Alize J Ferrari; Holly E Erskine; Fiona J Charlson; Rosana E Norman; Abraham D Flaxman; Nicole Johns; Roy Burstein; Christopher J L Murray; Theo Vos
Journal:  Lancet       Date:  2013-08-29       Impact factor: 79.321

2.  Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity.

Authors:  Roselinde H Kaiser; Jessica R Andrews-Hanna; Tor D Wager; Diego A Pizzagalli
Journal:  JAMA Psychiatry       Date:  2015-06       Impact factor: 21.596

Review 3.  The neuroscience of depression: implications for assessment and intervention.

Authors:  Manpreet K Singh; Ian H Gotlib
Journal:  Behav Res Ther       Date:  2014-09-04

4.  Effects of salience-network-node neurofeedback training on affective biases in major depressive disorder.

Authors:  J Paul Hamilton; Gary H Glover; Epifanio Bagarinao; Catie Chang; Sean Mackey; Matthew D Sacchet; Ian H Gotlib
Journal:  Psychiatry Res Neuroimaging       Date:  2016-01-19       Impact factor: 2.376

5.  Resting-state functional connectivity modulation and sustained changes after real-time functional magnetic resonance imaging neurofeedback training in depression.

Authors:  Han Yuan; Kymberly D Young; Raquel Phillips; Vadim Zotev; Masaya Misaki; Jerzy Bodurka
Journal:  Brain Connect       Date:  2014-11

6.  Volitional control of neuromagnetic coherence.

Authors:  Matthew D Sacchet; Jürgen Mellinger; Ranganatha Sitaram; Christoph Braun; Niels Birbaumer; Eberhard Fetz
Journal:  Front Neurosci       Date:  2012-12-26       Impact factor: 4.677

7.  Subcortical volumes differentiate Major Depressive Disorder, Bipolar Disorder, and remitted Major Depressive Disorder.

Authors:  Matthew D Sacchet; Emily E Livermore; Juan Eugenio Iglesias; Gary H Glover; Ian H Gotlib
Journal:  J Psychiatr Res       Date:  2015-06-16       Impact factor: 4.791

8.  Connectivity-based neurofeedback: dynamic causal modeling for real-time fMRI.

Authors:  Yury Koush; Maria Joao Rosa; Fabien Robineau; Klaartje Heinen; Sebastian W Rieger; Nikolaus Weiskopf; Patrik Vuilleumier; Dimitri Van De Ville; Frank Scharnowski
Journal:  Neuroimage       Date:  2013-05-11       Impact factor: 6.556

9.  Windowed correlation: a suitable tool for providing dynamic fMRI-based functional connectivity neurofeedback on task difficulty.

Authors:  Anna Zilverstand; Bettina Sorger; Jan Zimmermann; Amanda Kaas; Rainer Goebel
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

10.  Real-time FMRI neurofeedback training of amygdala activity in patients with major depressive disorder.

Authors:  Kymberly D Young; Vadim Zotev; Raquel Phillips; Masaya Misaki; Han Yuan; Wayne C Drevets; Jerzy Bodurka
Journal:  PLoS One       Date:  2014-02-11       Impact factor: 3.240
View more
  2 in total

1.  Real-time fMRI neurofeedback compared to cognitive behavioral therapy in a pilot study for the treatment of mild and moderate depression.

Authors:  Mikhail Ye Mel'nikov; Dmitriy D Bezmaternykh; Andrey A Savelov; Evgeniy D Petrovskiy; Lyudmila I Kozlova; Kira A Natarova; Tatiana D Larina; Tatiana M Andamova; Mikhail Zvyagintsev; Mark B Shtark; Klaus Mathiak
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-07-30       Impact factor: 5.760

Review 2.  Efficacy of bio- and neurofeedback for depression: a meta-analysis.

Authors:  J Fernández-Alvarez; M Grassi; D Colombo; C Botella; P Cipresso; G Perna; G Riva
Journal:  Psychol Med       Date:  2021-11-15       Impact factor: 7.723
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.