Literature DB >> 25362584

Effect of neurofeedback training on depression and fatigue in patients with multiple sclerosis.

Azadeh Choobforoushzadeh1, Hamid Taher Neshat-Doost, Hossien Molavi, Mohammad Reza Abedi.   

Abstract

Depression and fatigue are common symptoms of multiple sclerosis (MS) and are the primary determinants of impaired quality of life in this demyelinating neurological disease. Untreated depression is associated with suicidal ideation, impaired cognitive function and poor adherence to immunomodulatory treatment. For these reasons, systematic screening and management of depressive symptoms and fatigue is recommended for all patients with MS. The objective of this study was to evaluate the effectiveness of neurofeedback in treating depression and fatigue in persons with MS. We conducted a randomized trial with 24 MS patients with primary fatigue and depression. Participants were randomized into two groups: neurofeedback training group (16 sessions of NFB) or treatment as usual. Participants were evaluated at 3 time points (baseline, end of the treatment, and 2-month follow-up) using the Fatigue Severity Scale and Depression subscale of the Hospital Anxiety and Depression Scale as outcome measures. A repeated measures analysis of variance was used to examine differences between the groups. NFB significantly reduced symptoms of depression and fatigue in patients with MS patients, compared to treatment as usual (p < .05), and these effects were maintained the 2-month follow-up (p < .05).

Entities:  

Mesh:

Year:  2015        PMID: 25362584     DOI: 10.1007/s10484-014-9267-4

Source DB:  PubMed          Journal:  Appl Psychophysiol Biofeedback        ISSN: 1090-0586


  8 in total

Review 1.  Depression in Multiple Sclerosis: Epidemiology, Aetiology, Diagnosis and Treatment.

Authors:  Claudio Solaro; Giulia Gamberini; Fabio Giuseppe Masuccio
Journal:  CNS Drugs       Date:  2018-02       Impact factor: 5.749

Review 2.  Effects of Transcranial Alternating Current Stimulation and Neurofeedback on Alpha (EEG) Dynamics: A Review.

Authors:  Mária Orendáčová; Eugen Kvašňák
Journal:  Front Hum Neurosci       Date:  2021-07-08       Impact factor: 3.169

Review 3.  Assessing the Effectiveness of Neurofeedback Training in the Context of Clinical and Social Neuroscience.

Authors:  Franklin Orndorff-Plunkett; Fiza Singh; Oriana R Aragón; Jaime A Pineda
Journal:  Brain Sci       Date:  2017-08-07

4.  Frontal brain activity and cognitive processing speed in multiple sclerosis: An exploration of EEG neurofeedback training.

Authors:  Philipp M Keune; Sascha Hansen; Torsten Sauder; Sonja Jaruszowic; Christina Kehm; Jana Keune; Emily Weber; Michael Schönenberg; Patrick Oschmann
Journal:  Neuroimage Clin       Date:  2019-02-11       Impact factor: 4.881

Review 5.  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

6.  MRI correlates of cognitive improvement after home-based EEG neurofeedback training in patients with multiple sclerosis: a pilot study.

Authors:  Daniela Pinter; Silvia Erika Kober; Viktoria Fruhwirth; Lisa Berger; Anna Damulina; Michael Khalil; Christa Neuper; Guilherme Wood; Christian Enzinger
Journal:  J Neurol       Date:  2021-03-30       Impact factor: 4.849

7.  Exploring the Use of Neurofeedback by Cancer Survivors: Results of Interviews with Neurofeedback Providers and Clients.

Authors:  Marian F Luctkar-Flude; Jane Tyerman; Dianne Groll
Journal:  Asia Pac J Oncol Nurs       Date:  2019 Jan-Mar

8.  Which exercise and behavioural interventions show most promise for treating fatigue in multiple sclerosis? A network meta-analysis.

Authors:  Anthony M Harrison; Reza Safari; Tom Mercer; Federica Picariello; Marietta L van der Linden; Claire White; Rona Moss-Morris; Sam Norton
Journal:  Mult Scler       Date:  2021-04-20       Impact factor: 6.312

  8 in total

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