Functional connectivity in resting-state networks relates to short-term global cognitive functioning in cardiac arrest survivors

被引:0
|
作者
Verhulst, Marlous M. L. H. [1 ,2 ]
Keijzer, Hanneke M. [2 ]
van Gils, Pauline C. W. [1 ,3 ,4 ]
van Heugten, Caroline M. [4 ,5 ]
Meijer, Frederick J. A. [6 ]
Tonino, Bart A. R. [7 ]
Bonnes, Judith L. [8 ]
Delnoij, Thijs S. R. [9 ]
Hofmeijer, Jeannette [1 ,2 ]
Helmich, Rick C. [10 ,11 ]
机构
[1] Univ Twente, TechMed Ctr, Clin Neurophysiol, POB 217, NL-7500 AE Enschede, Netherlands
[2] Rijnstate Hosp, Dept Neurol, Arnhem, Netherlands
[3] Maastricht Univ, Sch Mental Hlth & Neurosci, Dept Psychiat & Neuropsychol, Maastricht, Netherlands
[4] Maastricht Univ, Limburg Brain Injury Ctr, Maastricht, Netherlands
[5] Maastricht Univ, Dept Neuropsychol & Psychopharmacol, Maastricht, Netherlands
[6] Radboud Univ Nijmegen, Med Ctr, Dept Med Imaging, Nijmegen, Netherlands
[7] Rijnstate Hosp, Dept Radiol, Arnhem, Netherlands
[8] Radboud Univ Nijmegen, Med Ctr, Dept Cardiol, Nijmegen, Netherlands
[9] Maastricht Univ, Med Ctr, Dept Cardiol, Maastricht, Netherlands
[10] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, Ctr Expertise Parkinson & Movement Disorders, Neurol Dept,Med Ctr, Nijmegen, Netherlands
[11] Radboud Univ Nijmegen, Ctr Cognit Neuroimaging, Donders Inst Brain Cognit & Behav, Nijmegen, Netherlands
关键词
cardiac arrest; cognition; functional connectivity; functional MRI; resting-state networks; DEFAULT MODE NETWORK; QUALITY-OF-LIFE; RIGHT TEMPOROPARIETAL JUNCTION; PROGNOSTIC VALUE; RECOVERY; OUTCOMES; IMPAIRMENT; PREDICTION; HEALTH;
D O I
10.1002/hbm.26769
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Long-term cognitive impairment is common in cardiac arrest survivors. Screening to identify patients at risk is recommended. Functional magnetic resonance brain imaging (fMRI) holds potential to contribute to prediction of cognitive outcomes. In this study, we investigated the possible value of early changes in resting-state networks for predicting short and long-term cognitive functioning of cardiac arrest survivors. We performed a prospective multicenter cohort study in cardiac arrest survivors in three Dutch hospitals. Resting-state fMRI scans were acquired within a month after cardiac arrest. We primarily focused on functional connectivity within the default-mode network (DMN) and salience network (SN), and additionally explored functional connectivity in seven other networks. Cognitive outcome was measured using the Montreal Cognitive Assessment (MoCA) during hospital admission and at 3 and 12 months, and by neuropsychological examination (NPE) at 12 months. We tested mixed effects models to evaluate the value of connectivity within the networks for predicting global cognitive outcomes at the three time points, and long-term cognitive outcomes in the memory, attention, and executive functioning domains. We included 80 patients (age 60 +/- 11 years, 72 (90%) male). MoCA scores increased significantly between hospital admission and 3 months (Delta MoCAhospital-3M = 2.89, p < 0.01), but not between 3 and 12 months (Delta MoCA3M-12M = 0.38, p = 0.52). Connectivity within the DMN, SN, and dorsal attention network (DAN) was positively related to global cognitive functioning during hospital admission (beta DMN = 0.85, p = 0.03; beta SN = 1.48, p < 0.01; beta DAN = 0.96, p = 0.01), but not at 3 and 12 months. Network connectivity was also unrelated to long-term memory, attention, or executive functioning. Resting-state functional connectivity in the DMN, SN, and DAN measured in the first month after cardiac arrest is related to short-term global, but not long-term global or domain-specific cognitive performance of survivors. These results do not support the value of functional connectivity within these RSNs for prediction of long-term cognitive performance after cardiac arrest.
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页数:11
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