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Reduced midbrain raphe echogenicity in patients with fibromyalgia syndrome
Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-300639
- Objectives The pathogenesis of fibromyalgia syndrome (FMS) is unclear. Transcranial ultrasonography revealed anechoic alteration of midbrain raphe in depression and anxiety disorders, suggesting affection of the central serotonergic system. Here, we assessed midbrain raphe echogenicity in FMS. Methods Sixty-six patients underwent transcranial sonography, of whom 53 were patients with FMS (27 women, 26 men), 13 patients with major depression and physical pain (all women), and 14 healthy controls (11 women, 3 men). Raphe echogenicity wasObjectives The pathogenesis of fibromyalgia syndrome (FMS) is unclear. Transcranial ultrasonography revealed anechoic alteration of midbrain raphe in depression and anxiety disorders, suggesting affection of the central serotonergic system. Here, we assessed midbrain raphe echogenicity in FMS. Methods Sixty-six patients underwent transcranial sonography, of whom 53 were patients with FMS (27 women, 26 men), 13 patients with major depression and physical pain (all women), and 14 healthy controls (11 women, 3 men). Raphe echogenicity was graded visually as normal or hypoechogenic, and quantified by digitized image analysis, each by investigators blinded to the clinical diagnosis. Results Quantitative midbrain raphe echogenicity was lower in patients with FMS compared to healthy controls (p<0.05), but not different from that of patients with depression and accompanying physical pain. Pain and FMS symptom burden did not correlate with midbrain raphe echogenicity as well as the presence and severity of depressive symptoms. Conclusion We found reduced echogenicity of the midbrain raphe area in patients with FMS and in patients with depression and physical pain, independent of the presence or severity of pain, FMS, and depressive symptoms. Further exploration of this sonographic finding is necessary before this objective technique may enter diagnostic algorithms in FMS and depression.…
Autor(en): | Nurcan Üçeyler, Mira Schließer, Dimitar Evdokimov, Jakub Radziwon, Betty Feulner, Stefan Unterecker, Florian Rimmele, Uwe Walter |
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URN: | urn:nbn:de:bvb:20-opus-300639 |
Dokumentart: | Artikel / Aufsatz in einer Zeitschrift |
Institute der Universität: | Medizinische Fakultät / Neurologische Klinik und Poliklinik |
Medizinische Fakultät / Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie | |
Sprache der Veröffentlichung: | Englisch |
Titel des übergeordneten Werkes / der Zeitschrift (Englisch): | PloS One |
Erscheinungsjahr: | 2022 |
Band / Jahrgang: | 17 |
Heft / Ausgabe: | 11 |
Aufsatznummer: | e0277316 |
Originalveröffentlichung / Quelle: | PloS One (2022) 17:11, e0277316. https://doi.org/10.1371/journal.pone.0277316 |
DOI: | https://doi.org/10.1371/journal.pone.0277316 |
Allgemeine fachliche Zuordnung (DDC-Klassifikation): | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
Freie Schlagwort(e): | depression; diagnostic medicine; fibromyalgia; midbrain; migraine; neuropathic pain; pain; ultrasound imaging |
Datum der Freischaltung: | 02.05.2023 |
Sammlungen: | Open-Access-Publikationsfonds / Förderzeitraum 2022 |
Lizenz (Deutsch): | CC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International |