Incoherent Synchronization between Resting State Respiratory Sinus Arrhythmia and Respiratory Movement in Depressed Patients with Suicidal Ideation

Ahsan H. Khandoker, Namareq Widatalla, Herbert Jelinek, Kyuichi Niizeki, Leontios Hadjileontiadis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The aim of this study is to investigate if the phase synchronization between Respiratory Sinus Arrhythmia (RSA) and respiratory movement in major depressive disorder (MDD) with or without suicidal ideation may be different to a control group during a resting mental state. Diagnoses of MDD were made by the Mini-International Neuropsychiatric Interview (MINI). The subscale (C-Module of MINI) with scores more than 9 of 38 were considered with suicidal ideation (SI). The interbeat intervals (RRI) and respiratory movement were extracted from 10 minutes ECG signals of control subjects (10 CONT), 10 MDD subjects with SI (MDDSI+) and 10 without (MDDSI-). Both RRI and respiration were resampled at 10 Hz and band passed filtered (0.10-0.4 Hz). Hilbert transform was applied to extract instantaneous phases of the RSA and respiration. Then time dependent phase coherence (λ) between RSA and Respiration was obtained. HRV indices were also calculated. Higher breathing frequency and lower amplitude of RSA (ARSA), lower λ values and HF power were found in the MDDSI+ group compared to the MDDSI- group (p < 0.05) and CONT group (p < 0.01). In this preliminary study we conclude that the resting mental state in MDD patients exerts an influence on RSA oscillations with respect to respiratory movements.

Original languageBritish English
Title of host publicationComputing in Cardiology Conference, CinC 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781728109589
DOIs
StatePublished - Sep 2018
Event45th Computing in Cardiology Conference, CinC 2018 - Maastricht, Netherlands
Duration: 23 Sep 201826 Sep 2018

Publication series

NameComputing in Cardiology
Volume2018-September
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference45th Computing in Cardiology Conference, CinC 2018
Country/TerritoryNetherlands
CityMaastricht
Period23/09/1826/09/18

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