Robotic Semi-Automated Transcranial Doppler Assessment of Cerebrovascular Autoregulation in Post-Concussion Syndrome: Methodological Considerations.
brain concussion
cerebral blood flow
cerebrovascular circulation
post-concussion syndrome
traumatic brain injury
Journal
Neurotrauma reports
ISSN: 2689-288X
Titre abrégé: Neurotrauma Rep
Pays: United States
ID NLM: 101773091
Informations de publication
Date de publication:
2020
2020
Historique:
entrez:
4
12
2020
pubmed:
5
12
2020
medline:
5
12
2020
Statut:
epublish
Résumé
Post-concussion syndrome (PCS) refers to a constellation of physical, cognitive, and emotional symptoms after traumatic brain injury (TBI). Despite its incidence and impact, the underlying mechanisms of PCS are unclear. We hypothesized that impaired cerebral autoregulation (CA) is a contributor. In this article, we present our protocol for non-invasively assessing CA in patients with TBI and PCS in a real-world clinical setting. A prospective, observational study was integrated into outpatient clinics at a tertiary neurosurgical center. Data points included: demographics, symptom profile (Post-Concussion Symptom Scale [PCSS]) and neuropsychological assessment (Cambridge Neuropsychological Test Automated-Battery [CANTAB]). Cerebrovascular metrics (nMxa co-efficient and the transient hyperaemic-response ratio [THRR]) were collected using transcranial Doppler (TCD), finger plethysmography, and bespoke software (ICM+). Twelve participants were initially recruited but 2 were excluded after unsuccessful insonation of the middle cerebral artery (MCA); 10 participants (5 patients with TBI, 5 healthy controls) were included in the analysis (median age 26.5 years, male to female ratio: 7:3). Median PCSS scores were 6/126 for the TBI patient sub-groups. Median CANTAB percentiles were 78 (healthy controls) and 25 (TBI). nMxa was calculated for 90% of included patients, whereas THRR was calculated for 50%. Median study time was 127.5 min and feedback (
Identifiants
pubmed: 33274347
doi: 10.1089/neur.2020.0021
pii: 10.1089/neur.2020.0021
pmc: PMC7703686
doi:
Types de publication
Journal Article
Langues
eng
Pagination
218-231Informations de copyright
© Danyal Z. Khan et al., 2020; Published by Mary Ann Liebert, Inc.
Déclaration de conflit d'intérêts
P.S. and M.C. have a financial interest in a part of the licensing fee (Cambridge Enterprise Ltd.) of ICM+ software. M.C. has a consultancy agreement with Delica Ltd.
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