Patients with chronic pain exhibit altered default mode network (DMN) activity. This preliminary project questioned whether comorbid disease states are associated with further brain alterations. Thirteen women with fibromyalgia (FM) only and 26 women with fibromyalgia with comorbid chronic insomnia (FMI) underwent a single night of ambulatory polysomnography and completed a sleep diary each morning for 14 days prior to performing a neuroimaging protocol. Novel imaging analyses were utilized to identify regions associated with significantly disordered sleep that were more active in task-negative periods than task-oriented periods in participants with FMI, when compared to participants with FM. It was hypothesized that core DMN areas (ie, cingulate cortex, inferior parietal lobule, medial prefrontal cortex, medial temporal cortex, precuneus) would exhibit increased activity during task-negative periods. Analyses revealed that significantly disordered sleep significantly contributed to group differences in the right cingulate gyrus, left lentiform nucleus, left anterior cingulate, left superior gyrus, medial frontal gyrus, right caudate, and the left inferior parietal lobules. Results suggest that FMI may alter some brain areas of the DMN, above and beyond FM. However, future work will need to investigate these results further by controlling for chronic insomnia only before conclusions can be made regarding the effect of FMI comorbidity on the DMN.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4648619 | PMC |
http://dx.doi.org/10.2147/JPR.S87501 | DOI Listing |
BMC Geriatr
January 2025
Institute for Health, Health Care Policy and Aging Research, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA.
Background: Racial and ethnic disparities in sleep quality and cognitive health are increasingly recognized, yet little is understood about their associations among Chinese older adults living in the United States. This study aims to examine the relationships between sleep health and cognitive functioning in this population, utilizing data from the Population Study of Chinese Elderly in Chicago (PINE).
Methods: This observational study utilized a two-wave panel design as part of the PINE, including 2,228 participants aged 65 years or older who self-identified as Chinese.
BMC Pregnancy Childbirth
January 2025
Department of Mental Health, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan.
Background: Restless legs syndrome (RLS) with insomnia is presumed to be associated with antenatal depression. RLS without insomnia, however, has not been investigated in association with antenatal depression. We aimed to examine whether RLS without insomnia during pregnancy is associated with antenatal depressive symptoms.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Psychology, University of Jyväskylä, P.O. Box 35, Jyväskylä, 40014, Finland.
Insomnia, i.e., difficulty falling asleep or staying asleep, is a common condition that is connected to many psychological and physical problems.
View Article and Find Full Text PDFBMJ Open
January 2025
Leicestershire Partnership NHS Trust, Leicester, UK.
Objective: Explore the nature and prevalence of long-term conditions in individuals with intellectual disability.
Design: Retrospective longitudinal population-based study.
Setting: Primary and secondary care data across the population of Wales with the Secure Anonymised Information Linkage (SAIL) Databank.
Cell Mol Neurobiol
January 2025
Department of Anesthesiology, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, China.
Immune and metabolic factors play an important role in the onset and development of insomnia. This study aimed to investigate the causal relationship between insomnia and immune cells and metabolites. Data for 731 immune cell phenotypes, 1400 metabolites, and insomnia in this study were obtained from the GWAS open-access database.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!