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Investigating Sea-Level Brain Predictors for Acute Mountain Sickness: A Multimodal MRI Study before and after High-Altitude Exposure.
Zhang, Wei; Feng, Jie; Liu, Wenjia; Zhang, Shiyu; Yu, Xiao; Liu, Jie; Shan, Baoci; Ma, Lin.
Afiliación
  • Zhang W; From the Beijing Engineering Research Center of Radiographic Techniques and Equipment (W.Z., B.S.), Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
  • Feng J; School of Nuclear Science and Technology (W.Z., B.S.), University of Chinese Academy of Sciences, Beijing, China.
  • Liu W; Cognitive Neuroimaging Centre (W.Z.), Nanyang Technological University, Singapore.
  • Zhang S; Lee Kong Chian School of Medicine (W.Z.), Nanyang Technological University, Singapore.
  • Yu X; The Graduate School (J.F., X.Y., L.M.), Medical School of Chinese People's Liberation Army, Beijing, China.
  • Liu J; Department of Radiology (J.F., W.L., S.Z., X.Y., L.M.), The First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
  • Shan B; Department of Radiology (J.F., W.L., S.Z., X.Y., L.M.), The First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
  • Ma L; Department of Radiology (J.F., W.L., S.Z., X.Y., L.M.), The First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
AJNR Am J Neuroradiol ; 45(6): 809-818, 2024 06 07.
Article en En | MEDLINE | ID: mdl-38663991
ABSTRACT
BACKGROUND AND

PURPOSE:

Acute mountain sickness is a series of brain-centered symptoms that occur when rapidly ascending to high altitude. Predicting acute mountain sickness before high-altitude exposure is crucial for protecting susceptible individuals. The present study aimed to evaluate the feasibility of predicting acute mountain sickness after high-altitude exposure by using multimodal brain MR imaging features measured at sea level. MATERIALS AND

METHODS:

We recruited 45 healthy sea-level residents who flew to the Qinghai-Tibet Plateau (3650 m). We conducted T1-weighted structural MR imaging, resting-state fMRI, and arterial spin-labeling perfusion MR imaging both at sea level and high altitude. Acute mountain sickness was diagnosed for 5 days using Lake Louise Scoring. Logistic regression with Least Absolute Shrinkage and Selection Operator logistic regression was performed for predicting acute mountain sickness using sea-level MR imaging features. We also validated the predictors by using MR images obtained at high altitude.

RESULTS:

The incidence rate of acute mountain sickness was 80.0%. The model achieved an area under the receiver operating characteristic curve of 86.4% (sensitivity = 77.8%, specificity = 100.0%, and P < .001) in predicting acute mountain sickness At sea level, valid predictors included fractional amplitude of low-frequency fluctuations (fALFF) and degree centrality from resting-state fMRI, mainly distributed in the somatomotor network. We further learned that the acute mountain sickness group had lower levels of fALFF in the somatomotor network at high altitude, associated with smaller changes in CSF volume and higher Lake Louise Scoring, specifically relating to fatigue and clinical function.

CONCLUSIONS:

Our study found that the somatomotor network function detected by sea-level resting-state fMRI was a crucial predictor for acute mountain sickness and further validated its pathophysiologic impact at high altitude. These findings show promise for pre-exposure prediction, particularly for individuals in need of rapid ascent, and they offer insight into the potential mechanism of acute mountain sickness.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Altitud / Mal de Altura Idioma: En Revista: AJNR Am J Neuroradiol Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Altitud / Mal de Altura Idioma: En Revista: AJNR Am J Neuroradiol Año: 2024 Tipo del documento: Article