ArticleFrontiers in neuroscience2020
Heart Rate and Respiration Affect the Functional Connectivity of Default Mode Network in Resting-State Functional Magnetic Resonance Imaging.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- How alexithymia shapes functional networks: Insights from a general population study.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Examining Insula-Default Mode Network Functional Connectivity and Its Relationship with Heart Rate Variability.Brain sciences · 2025Article
- Narrative predicts cardiac synchrony in audiences.Scientific reports · 2024Article
- Modulation of Posterior Default Mode Network Activity During Interoceptive Attention and Relation to Mindfulness.Biological psychiatry global open science · 2024Article
- Association between Resting Heart Rate and Machine Learning-Based Brain Age in Middle- and Older-Age.The journal of prevention of Alzheimer's disease · 2024Article
- Methods for and Use of Functional Magnetic Resonance Imaging in Psychiatry.Advances in neurobiology · 2024Review
- Denoising task-related fMRI: Balancing noise reduction against signal loss.Human brain mapping · 2023Article
- An implementation of integrated information theory in resting-state fMRI.Communications biology · 2023Article
- Changes in Functional Connectivity Between Default Mode Network and Attention Network in Response to Changes in Aerobic Exercise Intensity.Psychiatry investigation · 2023Article
- Effects of Physiological Signal Removal on Resting-State Functional MRI Metrics.Brain sciences · 2022Article
- Article
- The Effect of Body Posture on Resting-State Functional Connectivity.Brain connectivity · 2022Article
- Classification of emotion categories based on functional connectivity patterns of the human brain.NeuroImage · 2022Article
- Abnormal resting-state functional connectome in methamphetamine-dependent patients and its application in machine-learning-based classification.Frontiers in neuroscience · 2022Article
- Future Directions for Chemosensory Connectomes: Best Practices and Specific Challenges.Frontiers in systems neuroscience · 2022Article
- Contribution of animal models toward understanding resting state functional connectivity.NeuroImage · 2021Review
- Investigation on the Effect of Oral Breathing on Cognitive Activity Using Functional Brain Imaging.Healthcare (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A growing number of brain imaging studies show functional connectivity (FC) between regions during emotional and cognitive tasks in humans. However, emotions are accompanied by changes in physiological parameters such as heart rate and respiration. These changes may affect blood oxygen level-dependent signals, as well as connectivity between brain areas. This study aimed to clarify the effects of physiological noise on the connectivity between areas related to the default mode network using resting-state functional magnetic resonance imaging (rs-fMRI). Healthy adult volunteers (age range: 19-51 years, mean age: 26.9 ± 9.1 years, 8 males and 8 females) underwent rs-fMRI for 10 min using a clinical 3T scanner (MAGNETOM Trio A Tim System, Siemens) with simultaneously recorded respiration and cardiac output. Physiological noise signals were subsequently removed from the acquired fMRI data using the DRIFTER toolbox. Image processing and analysis of the FC between areas related to the default mode network were performed using DPARSF. Network-Based Statistic (NBS) analysis of the functional connectome of the DMN and DMN-related area was used to perform three groups of comparison: without physiological noise correction, with cardiac noise correction, and with cardiac and respiratory noise correction. NBS analysis identified 36 networks with significant differences in three conditions in FC matrices.
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