微状态常见应用领域论文推荐

      EEG微状态分析的应用领域非常广泛，它涉及到认知科学、神经科学、心理学、临床神经生理学等多个学科。以下是一些常见应用领域的论文总结。

         1、微状态分析被用于识别与神经精神疾病相关的大脑活动模式。

         2、微状态分析有助于研究社会互动和情感处理过程中的大脑动态。

         3、微状态分析被用来研究与记忆、注意力和感知等相关的认知过程。

抑郁症：

1. Murphy M, Whitton A E, Deccy S, et al. Abnormalities in electroencephalographic microstates are state and trait markers of major depressive disorder[J]. Neuropsychopharmacology, 2020, 45(12): 2030-2037.

2. Li J, Li N, Shao X, et al. Altered brain dynamics and their ability for major depression detection using EEG microstates analysis[J]. IEEE transactions on affective computing, 2021, 14(3): 2116-2126.

3. Lei L, Liu Z, Zhang Y, et al. EEG microstates as markers of major depressive disorder and predictors of response to SSRIs therapy[J]. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2022, 116: 110514.

4. Yan D, Liu J, Liao M, et al. Prediction of clinical outcomes with EEG microstate in patients with major depressive disorder[J]. Frontiers in Psychiatry, 2021, 12: 695272.

5. Zhang S, Tian S, Chattun M R, et al. A supplementary functional connectivity microstate attached to the default mode network in depression revealed by resting-state magnetoencephalography[J]. Progress in neuro-psychopharmacology and biological psychiatry, 2018, 83: 76-85.

6. Zhou D D, Peng X Y, Zhao L, et al. Neurophysiological biomarkers for depression classification: Utilizing microstate k-mers and a bag-of-words model[J]. Journal of Psychiatric Research, 2023, 165: 197-204.

7. Atluri S, Wong W, Moreno S, et al. Selective modulation of brain network dynamics by seizure therapy in treatment-resistant depression[J]. NeuroImage: Clinical, 2018, 20: 1176-1190.

精神分裂：

1. da Cruz J R, Favrod O, Roinishvili M, et al. EEG microstates are a candidate endophenotype for schizophrenia[J]. Nature communications, 2020, 11(1): 3089.   

2. de Bock R, Mackintosh A J, Maier F, et al. EEG microstates as biomarker for psychosis in ultra-high-risk patients[J]. Translational psychiatry, 2020, 10(1): 300.

3. Zhou D D, Li H Z, Wang W, et al. Changes in oscillatory patterns of microstate sequence in patients with first-episode psychosis[J]. Scientific Data, 2024, 11(1): 38.

4. Asha S A, Sudalaimani C, Devanand P, et al. Analysis of EEG microstates as biomarkers in neuropsychological processes–Review[J]. Computers in Biology and Medicine, 2024, 173: 108266.

5. Murphy M, Stickgold R, Öngür D. Electroencephalogram microstate abnormalities in early-course psychosis[J]. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 2020, 5(1): 35-44.

6. Baradits M, Bitter I, Czobor P. Multivariate patterns of EEG microstate parameters and their role in the discrimination of patients with schizophrenia from healthy controls[J]. Psychiatry research, 2020, 288: 112938.

7. Andreou C, Faber P L, Leicht G, et al. Resting-state connectivity in the prodromal phase of schizophrenia: insights from EEG microstates[J]. Schizophrenia research, 2014, 152(2-3): 513-520.

社会互动和情感处理过程中的大脑动态：

1. Prete G, Croce P, Zappasodi F, et al. Exploring brain activity for positive and negative emotions by means of EEG microstates[J]. Scientific reports, 2022, 12(1): 3404.

2. Nazare K, Tomescu M I. Valence-specific EEG microstate modulations during self-generated affective states[J]. Frontiers in Psychology, 2024, 15: 1300416.

3. Wei Z, Li H, Ma L, et al. Emotion recognition based on microstate analysis from temporal and spatial patterns of electroencephalogram[J]. Frontiers in Neuroscience, 2024, 18: 1355512.

4. Liu J, Hu X, Shen X, et al. The EEG microstate representation of discrete emotions[J]. International Journal of Psychophysiology, 2023, 186: 33-41.

5. Hu W, Zhang Z, Zhao H, et al. EEG microstate correlates of emotion dynamics and stimulation content during video watching[J]. Cerebral Cortex, 2023, 33(3): 523-542.

意识：
1. Mishra A, Englitz B, Cohen M X. EEG microstates as a continuous phenomenon[J]. Neuroimage, 2020, 208: 116454.
2. Sikka A, Jamalabadi H, Krylova M, et al. Investigating the temporal dynamics of electroencephalogram (EEG) microstates using recurrent neural networks[J]. Human brain mapping, 2020, 41(9): 2334-2346.
3. Bréchet L, Michel C M. EEG microstates in altered states of consciousness[J]. Frontiers in Psychology, 2022, 13: 856697.

睡眠：
1. Xu J, Pan Y, Zhou S, et al. EEG microstates are correlated with brain functional networks during slow-wave sleep[J]. Neuroimage, 2020, 215: 116786.
2. Brodbeck V, Kuhn A, von Wegner F, et al. EEG microstates of wakefulness and NREM sleep[J]. Neuroimage, 2012, 62(3): 2129-2139.
3. Bréchet L, Brunet D, Perogamvros L, et al. EEG microstates of dreams[J]. Scientific reports, 2020, 10(1): 17069.
4. Wiemers M C, Laufs H, von Wegner F. Frequency analysis of EEG microstate sequences in wakefulness and NREM sleep[J]. Brain Topography, 2024, 37(2): 312-328.