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Zhou Z, Hui ES, Kranz GS, Chang JR, de Luca K, Pinto SM, Chan WW, Yau SY, Chau BK, Samartzis D, Jensen MP, Wong AYL. Potential mechanisms underlying the accelerated cognitive decline in people with chronic low back pain: A scoping review. Ageing Res Rev 2022; 82:101767. [PMID: 36280211 DOI: 10.1016/j.arr.2022.101767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 09/13/2022] [Accepted: 10/20/2022] [Indexed: 01/31/2023]
Abstract
A growing body of evidence has shown that people with chronic low back pain (CLBP) demonstrate significantly greater declines in multiple cognitive domains than people who do not have CLBP. Given the high prevalence of CLBP in the ever-growing aging population that may be more vulnerable to cognitive decline, it is important to understand the mechanisms underlying the accelerated cognitive decline observed in this population, so that proper preventive or treatment approaches can be developed and implemented. The current scoping review summarizes what is known regarding the potential mechanisms underlying suboptimal cognitive performance and cognitive decline in people with CLBP and discusses future research directions. Five potential mechanisms were identified based on the findings from 34 included studies: (1) altered activity in the cortex and neural networks; (2) grey matter atrophy; (3) microglial activation and neuroinflammation; (4) comorbidities associated with CLBP; and (5) gut microbiota dysbiosis. Future studies should deepen the understanding of mechanisms underlying this association so that proper prevention and treatment strategies can be developed.
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Affiliation(s)
- Zhixing Zhou
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Edward S Hui
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Georg S Kranz
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria; The State Key Laboratory of Brain and Cognitive Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Jeremy R Chang
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Katie de Luca
- School of Health, Medical and Applied Sciences, CQ University, Brisbane, Australia
| | - Sabina M Pinto
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Winnie Wy Chan
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Suk-Yu Yau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China; Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Bolton Kh Chau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China
| | - Dino Samartzis
- Department of Orthopedic Surgery, Rush University Medical Centre, Chicago, IL, USA
| | - Mark P Jensen
- Department of Rehabilitation Medicine, University of Washington, Seattle, WA, USA
| | - Arnold Y L Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China; Research Institute of Smart Ageing, The Hong Kong Polytechnic University, Hong Kong Special Adminstrative Region, China.
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Kong J, Wolcott E, Wang Z, Jorgenson K, Harvey WF, Tao J, Rones R, Wang C. Altered resting state functional connectivity of the cognitive control network in fibromyalgia and the modulation effect of mind-body intervention. Brain Imaging Behav 2019; 13:482-492. [PMID: 29721768 DOI: 10.1007/s11682-018-9875-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
This study examines altered resting state functional connectivity (rsFC) of the cognitive control network (CCN) in fibromyalgia patients as compared to healthy controls, as well as how an effective mind-body intervention, Tai Chi, can modulate the altered rsFC of the CCN. Patients with fibromyalgia and matched healthy subjects were recruited in this study. Fibromyalgia patients were scanned 12 weeks before and after intervention. The bilateral dorsolateral prefrontal cortex (DLPFC) was used as a seed to explore the rsFC of the CCN. Data analysis was conducted with 21 patients and 20 healthy subjects. Compared to healthy subjects, fibromyalgia patients exhibited increased rsFC between the DLPFC and the bilateral rostral anterior cingulate cortex (rACC) and medial prefrontal cortex (MPFC) at baseline. The rsFC between the CCN and rACC/MPFC further increased after Tai Chi intervention, and this increase was accompanied by clinical improvements. This rsFC change was also significantly associated with corresponding changes in the Overall Impact domain of the Revised Fibromyalgia Impact Questionnaire (FIQR). Further analysis showed that the rACC/MPFC rsFC with both the PAG and hippocampus significantly decreased following Tai Chi intervention. Our study suggests that fibromyalgia is associated with altered CCN rsFC and that effective mind-body treatment may elicit clinical improvements by further increasing this altered rsFC. Elucidating this mechanism of enhancing the allostasis process will deepen our understanding of the mechanisms underlying mind-body interventions in fibromyalgia patients and facilitate the development of new pain management methods.
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Affiliation(s)
- Jian Kong
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
| | - Emily Wolcott
- Center For Complementary And Integrative Medicine, Department of Rheumatology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, 02111, USA
| | - Zengjian Wang
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Kristen Jorgenson
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - William F Harvey
- Center For Complementary And Integrative Medicine, Department of Rheumatology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, 02111, USA
| | - Jing Tao
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Ramel Rones
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Chenchen Wang
- Center For Complementary And Integrative Medicine, Department of Rheumatology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA, 02111, USA.
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Chang TT, Rosenberg-Lee M, Metcalfe AWS, Chen T, Menon V. Development of common neural representations for distinct numerical problems. Neuropsychologia 2015; 75:481-95. [PMID: 26160287 DOI: 10.1016/j.neuropsychologia.2015.07.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 07/03/2015] [Accepted: 07/04/2015] [Indexed: 10/23/2022]
Abstract
How the brain develops representations for abstract cognitive problems is a major unaddressed question in neuroscience. Here we tackle this fundamental question using arithmetic problem solving, a cognitive domain important for the development of mathematical reasoning. We first examined whether adults demonstrate common neural representations for addition and subtraction problems, two complementary arithmetic operations that manipulate the same quantities. We then examined how the common neural representations for the two problem types change with development. Whole-brain multivoxel representational similarity (MRS) analysis was conducted to examine common coding of addition and subtraction problems in children and adults. We found that adults exhibited significant levels of MRS between the two problem types, not only in the intraparietal sulcus (IPS) region of the posterior parietal cortex (PPC), but also in ventral temporal-occipital, anterior temporal and dorsolateral prefrontal cortices. Relative to adults, children showed significantly reduced levels of MRS in these same regions. In contrast, no brain areas showed significantly greater MRS between problem types in children. Our findings provide novel evidence that the emergence of arithmetic problem solving skills from childhood to adulthood is characterized by maturation of common neural representations between distinct numerical operations, and involve distributed brain regions important for representing and manipulating numerical quantity. More broadly, our findings demonstrate that representational analysis provides a powerful approach for uncovering fundamental mechanisms by which children develop proficiencies that are a hallmark of human cognition.
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Affiliation(s)
- Ting-Ting Chang
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Department of Psychology/Research Center for Mind, Brain & Learning, National Chengchi University, Taipei, Taiwan.
| | - Miriam Rosenberg-Lee
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Stanford Neuroscience Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Arron W S Metcalfe
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Tianwen Chen
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Vinod Menon
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA; Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, USA; Stanford Neuroscience Institute, Stanford University School of Medicine, Stanford, CA, USA; Symbolic Systems Program, Stanford University School of Medicine, Stanford, CA, USA.
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