Literature DB >> 30083956

Bipolar disorder in the balance.

Brian J Lithgow1,2, Zahra Moussavi3, Caroline Gurvich4, Jayashri Kulkarni4, Jerome J Maller4, Paul B Fitzgerald4.   

Abstract

Bipolar disorder (BD) is a severe mood disorder that lacks established electrophysiological, neuroimaging or biological markers to assist with both diagnosis and monitoring disease severity. This study's aim is to describe the potential of new neurophysiological features assistive in BD diagnosis and severity measurement utilizing the recording of electrical activity from the outer ear canal called Electrovestibulography (EVestG). From EVestG data sensory vestibulo-acoustic features were extracted from a single supine-vertical translation stimulus to distinguish 50 depressed and partly remitted/remitted bipolar disorder patients [18 symptomatic (BD-S, MADRS > 19), 32 reduced symptomatic (BD-R, MADRS ≤ 19)] and 31 age and gender matched healthy individuals (controls). Six features were extracted from the measured firing pattern interval histogram and the extracted shape of the average field potential response. Five of the six features had low but significant correlations (p < 0.05) with the MADRS assessment. Using leave-one-out-cross-validation, unbiased parametric and non-parametric classification routines resulted in 75-79%, 84-86%, 76-85% and 79-82% accuracy for separation of control from BD, BD-S and BD-R as well as BD-S from BD-R groups, respectively. The main limitation of this study was the inability to fully disentangle the impact of prescribed medication from the responses recorded. A mix of stationary and movement evoked EVestG features produced good discrimination between control and BD patients whether BD-S or BD-R. Moreover, BD-S and BD-R appear to have measurably different pathophysiological manifestations. The firing pattern features used were dissimilar to those observed in a prior major depressive disorder study.

Entities:  

Keywords:  Biological markers; Bipolar disorder; Depression; Electrovestibulography; Neurobiology; Vestibular

Mesh:

Year:  2018        PMID: 30083956     DOI: 10.1007/s00406-018-0935-x

Source DB:  PubMed          Journal:  Eur Arch Psychiatry Clin Neurosci        ISSN: 0940-1334            Impact factor:   5.270


  5 in total

1.  An unbiased algorithm for objective separation of Alzheimer's, Alzheimer's mixed with cerebrovascular symptomology, and healthy controls from one another using electrovestibulography (EVestG).

Authors:  Zeinab A Dastgheib; Brian J Lithgow; Zahra K Moussavi
Journal:  Med Biol Eng Comput       Date:  2022-01-31       Impact factor: 2.602

2.  Comparing Vestibular Responses to Linear and Angular Whole-Body Accelerations in Real and Immersive Environments.

Authors:  Mehrangiz Ashiri; Brian Lithgow; Brian Blakley; Zahra Moussavi
Journal:  Ann Biomed Eng       Date:  2022-03-24       Impact factor: 3.934

3.  Investigating the validity and reliability of Electrovestibulography (EVestG) for detecting post-concussion syndrome (PCS) with and without comorbid depression.

Authors:  Abdelbaset Suleiman; Brian Lithgow; Behzad Mansouri; Zahra Moussavi
Journal:  Sci Rep       Date:  2018-09-27       Impact factor: 4.379

4.  A Pilot Randomised Double-Blind Study of the Tolerability and efficacy of repetitive Transcranial Magnetic Stimulation on Persistent Post-Concussion Syndrome.

Authors:  Zahra Moussavi; Abdelbaset Suleiman; Grant Rutherford; Omid Ranjbar Pouya; Zeinab Dastgheib; Weijia Zhang; Jennifer Salter; Xikui Wang; Behzad Mansouri; Brian Lithgow
Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

5.  The Effect of Transcranial Alternating Current Stimulation With Cognitive Training on Executive Brain Function in Individuals With Dementia: Protocol for a Crossover Randomized Controlled Trial.

Authors:  Natasha Jacobson; Brian Lithgow; Mohammad Jafari Jozani; Zahra Moussavi
Journal:  JMIR Res Protoc       Date:  2022-04-27
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.