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Reconfiguration of brain network dynamics underlying spatial deficits in subjective cognitive decline

Q. Chen, F. Chen, Y. Zhu, C. Long, J. Lu, X. Zhang, Z. Nedelska, J. Hort, J. Chen, G. Ma, B. Zhang

. 2023 ; 127 (-) : 82-93. [pub] 20230310

Language English Country United States

Document type Journal Article, Research Support, Non-U.S. Gov't

Brain dynamics and the associations with spatial navigation in individuals with subjective cognitive decline (SCD) remain unknown. In this study, a hidden Markov model (HMM) was inferred from resting-state functional magnetic resonance imaging data in a cohort of 80 SCD and 77 normal control (NC) participants. By HMM, 12 states with distinct brain activity were identified. The SCD group showed increased fractional occupancy in the states with less activated ventral default mode, posterior salience, and visuospatial networks, while decreased fractional occupancy in the state with general network activation. The SCD group also showed decreased probabilities of transition into and out of the state with general network activation, suggesting an inability to dynamically upregulate and downregulate brain network activity. Significant correlations between brain dynamics and spatial navigation were observed. The combined features of spatial navigation and brain dynamics showed an area under the curve of 0.854 in distinguishing between SCD and NC. The findings may provide exploratory evidence of the reconfiguration of brain network dynamics underlying spatial deficits in SCD.

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$a Chen, Qian $u Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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$a Reconfiguration of brain network dynamics underlying spatial deficits in subjective cognitive decline / $c Q. Chen, F. Chen, Y. Zhu, C. Long, J. Lu, X. Zhang, Z. Nedelska, J. Hort, J. Chen, G. Ma, B. Zhang
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$a Brain dynamics and the associations with spatial navigation in individuals with subjective cognitive decline (SCD) remain unknown. In this study, a hidden Markov model (HMM) was inferred from resting-state functional magnetic resonance imaging data in a cohort of 80 SCD and 77 normal control (NC) participants. By HMM, 12 states with distinct brain activity were identified. The SCD group showed increased fractional occupancy in the states with less activated ventral default mode, posterior salience, and visuospatial networks, while decreased fractional occupancy in the state with general network activation. The SCD group also showed decreased probabilities of transition into and out of the state with general network activation, suggesting an inability to dynamically upregulate and downregulate brain network activity. Significant correlations between brain dynamics and spatial navigation were observed. The combined features of spatial navigation and brain dynamics showed an area under the curve of 0.854 in distinguishing between SCD and NC. The findings may provide exploratory evidence of the reconfiguration of brain network dynamics underlying spatial deficits in SCD.
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$a Chen, Futao $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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$a Zhu, Yajing $u Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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$a Long, Cong $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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$a Lu, Jiaming $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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$a Zhang, Xin $u Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
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$a Nedelska, Zuzana $u Memory Clinic, Department of Neurology, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czechia
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$a Hort, Jakub $u Memory Clinic, Department of Neurology, 2nd Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czechia
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$a Chen, Jun $u Department of Radiology, Mayo Clinic, Rochester, MN, USA
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$a Ma, Guolin $u Department of Radiology, China-Japan Friendship Hospital, Beijing, China
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$a Zhang, Bing $u Department of Radiology, Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, China; Department of Radiology, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, China; Institute of Medical Imaging and Artificial Intelligence, Nanjing University, Nanjing, China; Medical Imaging Center, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China; Jiangsu Key Laboratory of Molecular Medicine, Nanjing, China; Institute of Brain Science, Nanjing University, Nanjing, China. Electronic address: zhangbing_nanjing@nju.edu.cn
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