Respiration pattern variability and related default mode network connectivity are altered in remitted depression
暂无分享,去创建一个
Peter Kirsch | Martin Fungisai Gerchen | P. Kirsch | S. Schmidt | C. Kuehner | V. Zamoscik | Christine Kuehner | Vera Eva Zamoscik | Stephanie Nicole Lyn Schmidt | Christos Samsouris | Christina Timm | Christos Samsouris | M. Gerchen | C. Timm
[1] P. Haggard,et al. Neural signatures of body ownership: a sensory network for bodily self-consciousness. , 2007, Cerebral cortex.
[2] Mark E Kunik,et al. Surprisingly high prevalence of anxiety and depression in chronic breathing disorders. , 2005, Chest.
[3] Edgar Erdfelder,et al. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences , 2007, Behavior research methods.
[4] A. Beck,et al. Beck Depression Inventory–II , 2011 .
[5] Karleyton C Evans,et al. BOLD fMRI identifies limbic, paralimbic, and cerebellar activation during air hunger. , 2002, Journal of neurophysiology.
[6] A. Schene,et al. Cognitive reactivity versus dysfunctional cognitions and the prediction of relapse in recurrent major depressive disorder. , 2015, The Journal of clinical psychiatry.
[7] M. Greicius. Resting-state functional connectivity in neuropsychiatric disorders , 2008, Current opinion in neurology.
[8] K. Felmingham,et al. Impact of Depression and Antidepressant Treatment on Heart Rate Variability: A Review and Meta-Analysis , 2010, Biological Psychiatry.
[9] O. Van den Bergh,et al. Emotion, sighing, and respiratory variability. , 2015, Psychophysiology.
[10] D. Watson,et al. Development and validation of brief measures of positive and negative affect: the PANAS scales. , 1988, Journal of personality and social psychology.
[11] K. Khunti,et al. The prevalence of co‐morbid depression in adults with Type 2 diabetes: a systematic review and meta‐analysis , 2006, Diabetic medicine : a journal of the British Diabetic Association.
[12] Cox Ag,et al. Admissions by the book. , 1977 .
[13] J. Oshinski,et al. Quantifying the influence of respiration and cardiac pulsations on cerebrospinal fluid dynamics using real‐time phase‐contrast MRI , 2017, Journal of magnetic resonance imaging : JMRI.
[14] O. Van den Bergh,et al. Do not worry, be mindful: effects of induced worry and mindfulness on respiratory variability in a nonanxious population. , 2013, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[15] Michael Erb,et al. Intracranial oscillations of cerebrospinal fluid and blood flows: Analysis with magnetic resonance imaging , 2002, Journal of magnetic resonance imaging : JMRI.
[16] H. M. Brash,et al. IRREGULAR BREATHING AND HYPOXAEMIA DURING SLEEP IN CHRONIC STABLE ASTHMA , 1982, The Lancet.
[17] I. Homma,et al. Remembering the past with slow breathing associated with activity in the parahippocampus and amygdala , 2012, Neuroscience Letters.
[18] László Hejjel,et al. Heart rate asymmetry follows the inspiration/expiration ratio in healthy volunteers , 2012, Physiological measurement.
[19] John R. Huguenard,et al. Breathing control center neurons that promote arousal in mice , 2017, Science.
[20] C. Büchel,et al. Brain Responses during the Anticipation of Dyspnea , 2016, Neural plasticity.
[21] John Suckling,et al. A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series , 2014, NeuroImage.
[22] G. Strauss-Blasche,et al. Relative Timing Of Inspiration And Expiration Affects Respiratory Sinus Arrhythmia , 2000, Clinical and experimental pharmacology & physiology.
[23] F. Maltais,et al. Decline of resting inspiratory capacity in COPD: the impact on breathing pattern, dyspnea, and ventilatory capacity during exercise. , 2012, Chest.
[24] Alain Giron,et al. Functional Connectivity’s Degenerate View of Brain Computation , 2016, PLoS Comput. Biol..
[25] N. Woodward,et al. Resting-State Functional Connectivity in Psychiatric Disorders. , 2015, JAMA psychiatry.
[26] P. Morosini,et al. Development, reliability and acceptability of a new version of the DSM‐IV Social and Occupational Functioning Assessment Scale (SOFAS) to assess routine social funtioning , 2000, Acta psychiatrica Scandinavica.
[27] A. Talaei,et al. Evaluation of psychological status in patients with asthma and COPD. , 2012, Iranian journal of allergy, asthma, and immunology.
[28] V. van de Ven,et al. Negative mood-induction modulates default mode network resting-state functional connectivity in chronic depression. , 2017, Journal of affective disorders.
[29] J. Rottenberg,et al. Maladaptive mood repair, atypical respiratory sinus arrhythmia, and risk of a recurrent major depressive episode among adolescents with prior major depression , 2016, Psychological Medicine.
[30] J. Jonides,et al. Depression, rumination and the default network. , 2011, Social cognitive and affective neuroscience.
[31] A. Damasio,et al. Basic emotions are associated with distinct patterns of cardiorespiratory activity. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[32] C. Coulton,et al. Interaction Effects in Multiple Regression , 1993 .
[33] Ulrich Ebner-Priemer,et al. Ambulatory assessment. , 2013, Annual review of clinical psychology.
[34] Ikuo Aoki,et al. Influence of respiration on cerebrospinal fluid movement using magnetic resonance spin labeling , 2013, Fluids and Barriers of the CNS.
[35] Nicolas Costes,et al. Relief of dyspnea involves a characteristic brain activation and a specific quality of sensation. , 2008, American journal of respiratory and critical care medicine.
[36] Rasmus M. Birn,et al. The role of physiological noise in resting-state functional connectivity , 2012, NeuroImage.
[37] U. Ebner-Priemer,et al. Effects of mood and rumination on cortisol levels in daily life: An ambulatory assessment study in remitted depressed patients and healthy controls , 2013, Psychoneuroendocrinology.
[38] M. Åsberg,et al. A New Depression Scale Designed to be Sensitive to Change , 1979, British Journal of Psychiatry.
[39] U. Ebner-Priemer,et al. Increased involvement of the parahippocampal gyri in a sad mood predicts future depressive symptoms. , 2014, Social cognitive and affective neuroscience.
[40] H. Crijns,et al. Depression following myocardial infarction: first-ever versus ongoing and recurrent episodes. , 2005, General hospital psychiatry.
[41] Catie Chang,et al. Influence of heart rate on the BOLD signal: The cardiac response function , 2009, NeuroImage.
[42] Hans-Otto Karnath,et al. Awareness of the Functioning of One's Own Limbs Mediated by the Insular Cortex? , 2005, The Journal of Neuroscience.
[43] Peter A. Bandettini,et al. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI , 2006, NeuroImage.
[44] Matthijs Vink,et al. Cardiorespiratory effects on default‐mode network activity as measured with fMRI , 2009, Human brain mapping.
[45] J. Andrews-Hanna,et al. Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity. , 2015, JAMA psychiatry.
[46] V. Fan,et al. Anxiety, depression, and cognitive impairment in patients with chronic respiratory disease. , 2014, Clinics in chest medicine.
[47] M Liotti,et al. Neuroimaging of cerebral activations and deactivations associated with hypercapnia and hunger for air. , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[48] Hans-Jochen Heinze,et al. Association between heart rate variability and fluctuations in resting-state functional connectivity , 2013, NeuroImage.
[49] Michael J. Martinez,et al. Passive music listening spontaneously engages limbic and paralimbic systems , 2004, Neuroreport.
[50] L. Alloy,et al. Atypical reactivity of heart rate variability to stress and depression across development: Systematic review of the literature and directions for future research. , 2016, Clinical psychology review.
[51] P. Wilhelm,et al. Assessing Mood in Daily Life Structural Validity, Sensitivity to Change, and Reliability of a Short-Scale to Measure Three Basic Dimensions of Mood , 2007 .