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Using event-related potential P300 as an electrophysiological marker for differential diagnosis and to predict the progression of mild cognitive impairment: a meta-analysis

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Abstract

P300 event-related potential component may sensitively predict mild cognitive impairment (MCI) progression. Here, pooled effect size estimates of P300 amplitude and latency were computed at midline electrodes among controls, MCI patients, and Alzheimer’s disease (AD) patients. Baseline data were compared to one-year follow-up data. MCI patients showed decreased P300 amplitude and prolonged latency compared to controls. Pooled standardized mean differences (SMDs) were −0.67 (95 % CI −1.12 to −0.23, P = 0.003) and 0.90 (95 % CI 0.66–1.14, P < 0.00001), respectively. P300 latency decreased in MCI compared to AD patients where the pooled SMD was −0.52 (95 % CI −0.85 to −0.18, P = 0.003). Amplitude and latency differed between MCI baseline and follow-up. Pooled SMDs were 0.47 (95 % CI 0.29 to −0.65, P < 0.00001) and −0.52 (95 % CI −0.71 to −0.34, P < 0.00001), respectively. Group differences in MCI P300 latency existed compared to control and AD patients. P300 latency may therefore be a sensitive indicator for early cognitive decline or disease progression in MCI patients and identifying elderly patient progression to MCI and/or AD.

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Acknowledgments

This research was supported by a grant from the National Natural Science Foundation of China (Grant No. 31271093) to YY.

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The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Department of Medical Psychology, School of Public Health, Harbin Medical University, 157 Baojian Road, Harbin, 150081, Heilongjiang, China

    Shixiang Jiang, Zhengxue Qiao, Xiaohui Qiu, Xiuxian Yang & Yanjie Yang

  2. Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China

    Changda Qu

  3. Department of Neurology, The Fourth Affiliated Hospital of Harbin Medical University, Harbin, China

    Fengjun Wang

  4. Department of Epidemiology, School of Public Health, Harbin Medical University, Harbin, Heilongjiang, China

    Yupeng Liu

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  1. Shixiang Jiang
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Correspondence to Yanjie Yang.

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Jiang, S., Qu, C., Wang, F. et al. Using event-related potential P300 as an electrophysiological marker for differential diagnosis and to predict the progression of mild cognitive impairment: a meta-analysis. Neurol Sci 36, 1105–1112 (2015). https://doi.org/10.1007/s10072-015-2099-z

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  • DOI: https://doi.org/10.1007/s10072-015-2099-z

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