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Zhuang X, Bennett L, Nandy R, Cordes D, Bernick C, Ritter A. Longitudinal Changes in Cognitive Functioning and Brain Structure in Professional Boxers and Mixed Martial Artists After They Stop Fighting. Neurology 2022; 99:e2275-e2284. [PMID: 36104283 PMCID: PMC9694836 DOI: 10.1212/wnl.0000000000201158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 07/11/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND AND OBJECTIVES This study compares longitudinal changes in cognitive functioning and brain structures in male fighters who transitioned to an inactive fighting status without any further exposure to repetitive head impacts (RHIs) and fighters remaining active with continual exposure to RHIs. METHODS Participants were recruited from the Professional Fighters Brain Health Study. At time point (TP)1, all fighters were active, with continual exposure to RHIs. At TP2, fighters were considered "transitioned" if they had no sanctioned professional fights and had not been sparring for the past 2 years. Fighters were considered "active" if they continued to train and compete. All fighters underwent cognitive testing and 3T MRI at both TPs. A subset of our fighters (50%) underwent blood sampling for the characterization of neurofilament light (NfL) levels at both TPs. Linear mixed-effect models were applied to investigate the potentially different longitudinal trajectories (interaction effect between group and time) of cognitive function measures, NfL levels, and regional thickness measures (derived from structural MRI) between transitioned and active fighters. RESULTS Forty-five male transitioned fighters (aged 31.69 ± 6.27 years [TP1]; 22 boxers, 22 mixed martial artists, and 1 martial artist) and 45 demographically matched male active fighters (aged 30.24 ± 5.44 years [TP1]; 17 boxers, 27 mixed martial artists, and 1 martial artist) were included in the analyses. Significantly different longitudinal trajectories between transitioned and active fighters were observed in verbal memory (p FDR = 4.73E-04), psychomotor speed (p FDR = 4.73E-04), processing speed (p FDR = 3.90E-02), and NfL levels (p = 0.02). Transitioned fighters demonstrated longitudinally improved cognitive functioning and decreased NfL levels, and active fighters demonstrated declines in cognitive performance and stable NfL levels. Of 68 cortical regions inspected, 54 regions demonstrated a consistently changing trajectory, with thickness measures stabilizing on a group level for transitioned fighters and subtly declining over time for active fighters. DISCUSSION After fighters' cessation of RHI exposure, cognitive function and brain thickness measures may stabilize and blood NfL levels may decline. This study could be a starting point to identify potential predictors of individuals who are at a higher risk of RHI-related long-term neurologic conditions.
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Affiliation(s)
- Xiaowei Zhuang
- From the Lou Ruvo Center for Brain Health (X.Z., D.C., C.B., A.R.), Cleveland Clinic, Las Vegas; Interdisciplinary Neuroscience PhD Program (X.Z.), University of Nevada, Las Vegas; Pickup Family Neurosciences Institute (L.B.), Hoag Memorial Hospital Presbyterian, Newport Beach, CA; Department of Biostatistics & Epidemiology (R.N.), School of Public Health, University of North Texas Health Science Center, Fort Worth; University of Colorado Boulder (D.C.); and UW Medicine (C.B.), Seattle
| | - Lauren Bennett
- From the Lou Ruvo Center for Brain Health (X.Z., D.C., C.B., A.R.), Cleveland Clinic, Las Vegas; Interdisciplinary Neuroscience PhD Program (X.Z.), University of Nevada, Las Vegas; Pickup Family Neurosciences Institute (L.B.), Hoag Memorial Hospital Presbyterian, Newport Beach, CA; Department of Biostatistics & Epidemiology (R.N.), School of Public Health, University of North Texas Health Science Center, Fort Worth; University of Colorado Boulder (D.C.); and UW Medicine (C.B.), Seattle
| | - Rajesh Nandy
- From the Lou Ruvo Center for Brain Health (X.Z., D.C., C.B., A.R.), Cleveland Clinic, Las Vegas; Interdisciplinary Neuroscience PhD Program (X.Z.), University of Nevada, Las Vegas; Pickup Family Neurosciences Institute (L.B.), Hoag Memorial Hospital Presbyterian, Newport Beach, CA; Department of Biostatistics & Epidemiology (R.N.), School of Public Health, University of North Texas Health Science Center, Fort Worth; University of Colorado Boulder (D.C.); and UW Medicine (C.B.), Seattle
| | - Dietmar Cordes
- From the Lou Ruvo Center for Brain Health (X.Z., D.C., C.B., A.R.), Cleveland Clinic, Las Vegas; Interdisciplinary Neuroscience PhD Program (X.Z.), University of Nevada, Las Vegas; Pickup Family Neurosciences Institute (L.B.), Hoag Memorial Hospital Presbyterian, Newport Beach, CA; Department of Biostatistics & Epidemiology (R.N.), School of Public Health, University of North Texas Health Science Center, Fort Worth; University of Colorado Boulder (D.C.); and UW Medicine (C.B.), Seattle
| | - Charles Bernick
- From the Lou Ruvo Center for Brain Health (X.Z., D.C., C.B., A.R.), Cleveland Clinic, Las Vegas; Interdisciplinary Neuroscience PhD Program (X.Z.), University of Nevada, Las Vegas; Pickup Family Neurosciences Institute (L.B.), Hoag Memorial Hospital Presbyterian, Newport Beach, CA; Department of Biostatistics & Epidemiology (R.N.), School of Public Health, University of North Texas Health Science Center, Fort Worth; University of Colorado Boulder (D.C.); and UW Medicine (C.B.), Seattle
| | - Aaron Ritter
- From the Lou Ruvo Center for Brain Health (X.Z., D.C., C.B., A.R.), Cleveland Clinic, Las Vegas; Interdisciplinary Neuroscience PhD Program (X.Z.), University of Nevada, Las Vegas; Pickup Family Neurosciences Institute (L.B.), Hoag Memorial Hospital Presbyterian, Newport Beach, CA; Department of Biostatistics & Epidemiology (R.N.), School of Public Health, University of North Texas Health Science Center, Fort Worth; University of Colorado Boulder (D.C.); and UW Medicine (C.B.), Seattle.
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Functional MRI Changes in Patients after Thyroidectomy under General Anesthesia. BIOMED RESEARCH INTERNATIONAL 2022; 2022:1935125. [PMID: 35774279 PMCID: PMC9239812 DOI: 10.1155/2022/1935125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/18/2022] [Accepted: 06/09/2022] [Indexed: 11/30/2022]
Abstract
Cognitive changes affecting elderly patients following surgery under anesthesia have drawn significant attention and have been investigated in considerable depth. Resting-state functional magnetic resonance imaging (rs-fMRI) can be used to assess changes in brain functional connectivity (FC) associated with postoperative changes in cognition, a common complication in seniors undergoing surgery. In this study, we recruited 20 patients over 55 of age and scheduled an elective thyroidectomy under general anesthesia to assess perioperative changes in brain FC density (FCD) in patients undergoing thyroidectomy under general anesthesia using rs-fMRI. All 20 patients underwent a series of clinical, quantitative, neurological, and neuropsychological tests and fMRI examinations on the day before surgery (Day 0) and 7 days after surgery (Day 7). The following tests were conducted on all patients: the Minimental State Examination (MMSE), the digit symbol substitution test (DSST), the trail making test (part A), the verbal fluency test, and Warrington's recognition memory test (WRMT). FMRI data were acquired using a 3T MR system; the FCD values were calculated using the REST software package. We used paired t-tests to compare the FCD between Day 7 and Day 0. A value of p < 0.05 was considered to reflect statistical significance. The postoperative FCD was significantly reduced in the supplementary motor area (SMA). Analyses of the percentage changes of errors in the WRMT revealed a significant and negative correlation with the mean percentage change of FCD in the SMA (Spearman's r = −0.54, 95% CI: (-0.80, -0.12), p = 0.014). Postoperative changes in FCD in the SMA may be associated with the perioperative neurocognitive changes in patients undergoing partial thyroidectomy under general anesthesia.
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