Titlebook: Computational Neuroscience; Drozdstoy Stoyanov,Bogdan Draganski,Claus Lamm Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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書目名稱Computational Neuroscience影響因子(影響力)




書目名稱Computational Neuroscience影響因子(影響力)學(xué)科排名




書目名稱Computational Neuroscience網(wǎng)絡(luò)公開度




書目名稱Computational Neuroscience網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Neuroscience被引頻次




書目名稱Computational Neuroscience被引頻次學(xué)科排名




書目名稱Computational Neuroscience年度引用




書目名稱Computational Neuroscience年度引用學(xué)科排名




書目名稱Computational Neuroscience讀者反饋




書目名稱Computational Neuroscience讀者反饋學(xué)科排名

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Toward the Use of Research and Diagnostic Algorithmic Rules to Assess the Recurrence of Illness and ndicating that they are manifestations of ROI; (b) patients with MDD, BP1, and BP2 can be classified as MDMD or non-MDMD, indicating that MDD/BD/BP1/BP2 do not reflect overall severity; (c) because ROI is a more important indicator in our precision models, the binary diagnoses of MDD/BD/BP1/BP2 are

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The Concept of Event-Related Oscillations: A Spotlight on Extended Applications. The major focus of the chapter is on some less well recognized extended applications of the concept of EROs in neurocognitive research. Specifically, applications to (1) internal information processing, (2) event-related frequency tuning, (3) event-related spatial synchronization, and (4) detectio

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Computational Anatomy Going Beyond Brain Morphometryop short of considering the unresolved issues in voxel-based quantification currently implemented in the data processing and analysis framework of Statistical Parametric Mapping (SPM12). We conclude with an outlook to the future developments and perspectives in computational anatomy, particularly th

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Neuroimaging Methods Investigating Anterior Insula Alterations in Schizophrenia and Mood Disordersl risk. Significant reduction of the gyrification of the AI has been reported as well. On one hand, BD shares common traits with schizophrenia in terms of GMV reductions in AI but the alterations seem to be less extensive. On the other hand, MDD demonstrates shared GMV reductions of AI with BD. Thus

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Utility of Computational Approaches for Precision Psychiatry: Applications to Substance Use Disorderh has been adapted for the study of addictions with the Addictions Neuroclinical Assessment (ANA) framework (Kwako et al., Biol Psychiatry 80:179–189, 2016), which proposes that the assessment of addictions should cover multiple systems and focus on three key neurofunctional domains: . and . Buildin

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Nanomedicine and Nanotoxicologyndicating that they are manifestations of ROI; (b) patients with MDD, BP1, and BP2 can be classified as MDMD or non-MDMD, indicating that MDD/BD/BP1/BP2 do not reflect overall severity; (c) because ROI is a more important indicator in our precision models, the binary diagnoses of MDD/BD/BP1/BP2 are