@inproceedings{427a320492514db6911d6f49944295e9,
title = "Incoherent Synchronization between Resting State Respiratory Sinus Arrhythmia and Respiratory Movement in Depressed Patients with Suicidal Ideation",
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.",
author = "Khandoker, {Ahsan H.} and Namareq Widatalla and Herbert Jelinek and Kyuichi Niizeki and Leontios Hadjileontiadis",
note = "Funding Information: This study was supported by Al Jalila Foundation awarded to Leontios Hadjileontiadis. Publisher Copyright: {\textcopyright} 2018 Creative Commons Attribution.; 45th Computing in Cardiology Conference, CinC 2018 ; Conference date: 23-09-2018 Through 26-09-2018",
year = "2018",
month = sep,
doi = "10.22489/CinC.2018.173",
language = "British English",
series = "Computing in Cardiology",
publisher = "IEEE Computer Society",
booktitle = "Computing in Cardiology Conference, CinC 2018",
address = "United States",
}