Psychiatric Symptoms in Patients with Cerebral Endometriosis: A Case Report and Literature Review.
Camilla ElefanteGiulio Emilio BrancatiElene OragvelidzeLorenzo LattanziIcro MaremmaniGiulio PerugiPublished in: Journal of clinical medicine (2022)
Endometriosis is a systemic medical condition characterized by endometrial tissue that is abnormally implanted in extrauterine sites, including the central nervous system. In this article, we reported the case of a patient with presumed cerebral endometriosis who was diagnosed with bipolar disorder and panic disorder and systematically reviewed the literature for previously reported neuropsychiatric symptoms in patients with cerebral and cerebellar endometriosis. The PubMed, Scopus, and Web of Science bibliographic databases were searched according to the PRISMA guidelines. Seven previous case reports were found and described. While neurological disturbances dominated the clinical picture in the cases retrieved from the literature, our patient represented the first case to show both neurological and psychiatric manifestations. Atypical features of bipolar disorder including chronic mood instability, mixed episodes, and excitatory interepisodic symptoms were highlighted. During the neuropsychological evaluation, a dysexecutive profile consistent with frontal lobe pathology was evidenced. We hypothesized that the course and features of the illness were largely influenced by the presence of documented brain lesions compatible with endometrial implants, especially in the frontal region. Accordingly, patients with endometriosis who exhibit neurological as well as mental symptoms should be investigated for cerebral lesions.
Keyphrases
- bipolar disorder
- cerebral ischemia
- subarachnoid hemorrhage
- major depressive disorder
- case report
- mental health
- sleep quality
- systematic review
- brain injury
- functional connectivity
- resting state
- public health
- working memory
- endometrial cancer
- randomized controlled trial
- depressive symptoms
- physical activity
- mild cognitive impairment
- multiple sclerosis
- single molecule
- machine learning