Literature DB >> 26363266

Psychomotor retardation is linked to frontal alpha asymmetry in major depression.

Andrea Cantisani1, Thomas Koenig2, Helge Horn2, Thomas Müller2, Werner Strik2, Sebastian Walther2.   

Abstract

BACKGROUND: Psychomotor disturbances are a main clinical feature of major depressive disorder (MDD) but little is known about their EEG signature. One of the most replicated EEG findings in MDD is resting frontal asymmetry in the alpha band (FAA), which is thought to be a correlate of withdrawal behavior and reduced approach motivation. The purpose of this study was to assess psychomotor alterations, alpha band power, FAA and investigate the association between them.
METHODS: 20 MDD patients and 19 healthy subjects were enrolled. Alpha power and FAA scores were calculated from a resting state EEG. Wrist actigraphy was recorded from the non-dominant arm for 24 h and activity level scores (AL) were extrapolated from the wakeful periods.
RESULTS: MDD patients had a left-lateralized frontal alpha activity and lower AL scores when compared to healthy subjects. A significant correlation was found between mean FAA and AL scores. A negative covariance between power in the lower alpha range and AL scores over the motor cortex bilaterally was detected. LIMITATIONS: Relatively small sample size. Patients were pharmacologically treated with antidepressants.
CONCLUSIONS: This study replicates the finding of left-lateralized FAA and lower AL scores in MDD patients, and establishes the first evidence of significant correlations between alpha power, FAA scores and measures of motor activity, which may be interpreted as an expression of impaired motivational drive in MDD.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Actigraphy; Alpha oscillations; EEG; Frontal alpha asymmetry; Major depression; Psychomotor disturbances

Mesh:

Year:  2015        PMID: 26363266     DOI: 10.1016/j.jad.2015.08.018

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  10 in total

1.  Women with Major Depressive Disorder, Irrespective of Comorbid Anxiety Disorders, Show Blunted Bilateral Frontal Responses during Win and Loss Anticipation.

Authors:  Jennifer L Stewart; Evan J White; Rayus Kuplicki; Elisabeth Akeman; Jerzy Bodurka; Yoon-Hee Cha; Justin S Feinstein; Sahib S Khalsa; Jonathan B Savitz; Teresa A Victor; Martin P Paulus; Robin L Aupperle
Journal:  J Affect Disord       Date:  2020-05-11       Impact factor: 4.839

2.  A closer look at the relationship between the default network, mind wandering, negative mood, and depression.

Authors:  Shaghayegh Konjedi; Reza Maleeh
Journal:  Cogn Affect Behav Neurosci       Date:  2017-08       Impact factor: 3.282

3.  The novel frontal alpha asymmetry factor and its association with depression, anxiety, and personality traits.

Authors:  Alessandra Monni; Katherine L Collison; Kaylin E Hill; Belel Ait Oumeziane; Dan Foti
Journal:  Psychophysiology       Date:  2022-05-26       Impact factor: 4.348

4.  EEG marker of inhibitory brain activity correlates with resting-state cerebral blood flow in the reward system in major depression.

Authors:  A Cantisani; T Koenig; K Stegmayer; A Federspiel; H Horn; T J Müller; R Wiest; W Strik; S Walther
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-11-21       Impact factor: 5.270

5.  Pre-stimulus Alpha Oscillations and Inter-subject Variability of Motor Evoked Potentials in Single- and Paired-Pulse TMS Paradigms.

Authors:  Zafer Iscan; Maria Nazarova; Tommaso Fedele; Evgeny Blagovechtchenski; Vadim V Nikulin
Journal:  Front Hum Neurosci       Date:  2016-10-07       Impact factor: 3.169

Review 6.  Electroencephalogram alpha asymmetry in patients with depressive disorders: current perspectives.

Authors:  Andreas Kurt Kaiser; Maria-Theresa Gnjezda; Stephanie Knasmüller; Wolfgang Aichhorn
Journal:  Neuropsychiatr Dis Treat       Date:  2018-06-11       Impact factor: 2.570

7.  Higuchi's fractal dimension, but not frontal or posterior alpha asymmetry, predicts PID-5 anxiousness more than depressivity.

Authors:  Tame N J Kawe; Shabah M Shadli; Neil McNaughton
Journal:  Sci Rep       Date:  2019-12-23       Impact factor: 4.379

8.  Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals.

Authors:  Lijuan Duan; Huifeng Duan; Yuanhua Qiao; Sha Sha; Shunai Qi; Xiaolong Zhang; Juan Huang; Xiaohan Huang; Changming Wang
Journal:  Front Hum Neurosci       Date:  2020-09-23       Impact factor: 3.169

9.  Measuring catatonia motor behavior with objective instrumentation.

Authors:  Sofie von Känel; Niluja Nadesalingam; Danai Alexaki; Daniel Baumann Gama; Alexandra Kyrou; Stéphanie Lefebvre; Sebastian Walther
Journal:  Front Psychiatry       Date:  2022-08-17       Impact factor: 5.435

10.  Physical activity is associated with left corticospinal tract microstructure in bipolar depression.

Authors:  Tobias Bracht; Sarah Steinau; Andrea Federspiel; Christoph Schneider; Roland Wiest; Sebastian Walther
Journal:  Neuroimage Clin       Date:  2018-10-01       Impact factor: 4.881

  10 in total

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