Literature DB >> 27967237

Brain Reactivity and Selective Attention to Sleep-Related Words in Patients With Chronic Insomnia.

Kai Spiegelhalder1, Chiara Baglioni1, Wolfram Regen1, Simon D Kyle2, Christoph Nissen1, Jürgen Hennig3, John-Peter Doerr1, Bernd Feige1, Dieter Riemann1.   

Abstract

OBJECTIVE/
BACKGROUND: Sleep-related attentional bias has been suggested to represent an important factor for the maintenance of chronic insomnia. However, little is known about potentially underlying psychological mechanisms such as threat or craving. As these are associated with distinguishable brain activation patterns, we performed a functional neuroimaging study. PARTICIPANTS/
METHODS: Functional magnetic resonance imaging was used to investigate brain reactivity to sleep-related words in 20 patients with primary insomnia according to DSM-IV criteria and 35 good sleeper controls according to Research Diagnostic Criteria. In addition, an emotional Stroop task was performed in all participants outside the scanner to investigate sleep-related attentional bias.
RESULTS: Contrary to the hypotheses, patients with chronic insomnia did not differ from good sleeper controls in terms of threat- or craving-related brain reactivity to sleep-related words. In addition, the emotional Stroop task did not reveal any significant group difference in sleep-related attentional bias. Exploratory analyses did not show any significant correlations between brain reactivity/selective attention to sleep-related words and questionnaire scores/PSG parameters.
CONCLUSIONS: The results from the present study call into question that attentional bias to sleep-related stimuli is a core feature of chronic insomnia. Future studies may use pictorial stimuli and larger sample sizes for investigating sleep-related information processing in insomnia.

Entities:  

Mesh:

Year:  2016        PMID: 27967237     DOI: 10.1080/15402002.2016.1253014

Source DB:  PubMed          Journal:  Behav Sleep Med        ISSN: 1540-2002            Impact factor:   2.964


  8 in total

1.  Brain response to sleep-related attentional bias in patients with chronic insomnia.

Authors:  Xi-Jian Dai
Journal:  J Thorac Dis       Date:  2017-06       Impact factor: 2.895

2.  Brain response to sleep-related attentional bias after cognitive-behavioral therapy in individuals with insomnia symptoms.

Authors:  Xiao Nie; Xi-Jian Dai
Journal:  J Thorac Dis       Date:  2018-03       Impact factor: 2.895

3.  The moderating effect of prefrontal response to sleep-related stimuli on the association between depression and sleep disturbance in insomnia disorder.

Authors:  Mi Hyun Lee; Kyung Hwa Lee; Seong Min Oh; Min Cheol Seo; Hayoung Lee; Jeong Eun Jeon; Yu Jin Lee
Journal:  Sci Rep       Date:  2022-10-22       Impact factor: 4.996

4.  Changes in subcortical resting-state functional connectivity in patients with psychophysiological insomnia after cognitive-behavioral therapy: Changes in resting-state FC after CBT for insomnia patients.

Authors:  Yu-Jin G Lee; Soohyun Kim; Nambeom Kim; Jae-Won Choi; Juhyun Park; Seog Ju Kim; Ah Reum Gwak; Yu Jin Lee
Journal:  Neuroimage Clin       Date:  2017-10-12       Impact factor: 4.881

Review 5.  Affect and Arousal in Insomnia: Through a Lens of Neuroimaging Studies.

Authors:  Julian E Schiel; Florian Holub; Roxana Petri; Jeanne Leerssen; Sandra Tamm; Masoud Tahmasian; Dieter Riemann; Kai Spiegelhalder
Journal:  Curr Psychiatry Rep       Date:  2020-07-13       Impact factor: 5.285

6.  Brain reactivity using fMRI to insomnia stimuli in insomnia patients with discrepancy between subjective and objective sleep.

Authors:  Young-Bo Kim; Nambeom Kim; Jae Jun Lee; Seo-Eun Cho; Kyoung-Sae Na; Seung-Gul Kang
Journal:  Sci Rep       Date:  2021-01-15       Impact factor: 4.379

7.  Exploration of changes in the brain response to sleep-related pictures after cognitive-behavioral therapy for psychophysiological insomnia.

Authors:  Seog Ju Kim; Yu Jin Lee; Nambeom Kim; Soohyun Kim; Jae-Won Choi; Juhyun Park; Ah Reum Gwak; Chang-Ki Kang; Seung-Gul Kang; Do-Un Jeong
Journal:  Sci Rep       Date:  2017-10-02       Impact factor: 4.379

8.  Multitask fMRI and machine learning approach improve prediction of differential brain activity pattern in patients with insomnia disorder.

Authors:  Mi Hyun Lee; Nambeom Kim; Jaeeun Yoo; Hang-Keun Kim; Young-Don Son; Young-Bo Kim; Seong Min Oh; Soohyun Kim; Hayoung Lee; Jeong Eun Jeon; Yu Jin Lee
Journal:  Sci Rep       Date:  2021-04-30       Impact factor: 4.379

  8 in total

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