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  1. Article ; Online: Reply To: Comments on identifying causal relationships in nonlinear dynamical systems via empirical mode decomposition.

    Yang, Albert C / Peng, Chung-Kang / Huang, Norden E

    Nature communications

    2022  Volume 13, Issue 1, Page(s) 2859

    MeSH term(s) Causality ; Nonlinear Dynamics ; Signal Processing, Computer-Assisted
    Language English
    Publishing date 2022-05-23
    Publishing country England
    Document type Letter ; Research Support, Non-U.S. Gov't ; Comment
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-022-30360-1
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  2. Article: A data driven time-dependent transmission rate for tracking an epidemic: a case study of 2019-nCoV.

    Huang, Norden E / Qiao, Fangli

    Science bulletin

    2020  Volume 65, Issue 6, Page(s) 425–427

    Keywords covid19
    Language English
    Publishing date 2020-02-07
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2816140-3
    ISSN 2095-9281 ; 2095-9273
    ISSN (online) 2095-9281
    ISSN 2095-9273
    DOI 10.1016/j.scib.2020.02.005
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  3. Article ; Online: Exploring timescale-specific functional brain networks and their associations with aging and cognitive performance in a healthy cohort without dementia.

    Tsai, Wen-Xiang / Tsai, Shih-Jen / Lin, Ching-Po / Huang, Norden E / Yang, Albert C

    NeuroImage

    2024  Volume 289, Page(s) 120540

    Abstract: Introduction: Functional brain networks (FBNs) coordinate brain functions and are studied in fMRI using blood-oxygen-level-dependent (BOLD) signal correlations. Previous research links FBN changes to aging and cognitive decline, but various ... ...

    Abstract Introduction: Functional brain networks (FBNs) coordinate brain functions and are studied in fMRI using blood-oxygen-level-dependent (BOLD) signal correlations. Previous research links FBN changes to aging and cognitive decline, but various physiological factors influnce BOLD signals. Few studies have investigated the intrinsic components of the BOLD signal in different timescales using signal decomposition. This study aimed to explore differences between intrinsic FBNs and traditional BOLD-FBN, examining their associations with age and cognitive performance in a healthy cohort without dementia.
    Materials and methods: A total of 396 healthy participants without dementia (men = 157; women = 239; age range = 20-85 years) were enrolled in this study. The BOLD signal was decomposed into several intrinsic signals with different timescales using ensemble empirical mode decomposition, and FBNs were constructed based on both the BOLD and intrinsic signals. Subsequently, network features-global efficiency and local efficiency values-were estimated to determine their relationship with age and cognitive performance.
    Results: The findings revealed that the global efficiency of traditional BOLD-FBN correlated significantly with age, with specific intrinsic FBNs contributing to these correlations. Moreover, local efficiency analysis demonstrated that intrinsic FBNs were more meaningful than traditional BOLD-FBN in identifying brain regions related to age and cognitive performance.
    Conclusions: These results underscore the importance of exploring timescales of BOLD signals when constructing FBN and highlight the relevance of specific intrinsic FBNs to aging and cognitive performance. Consequently, this decomposition-based FBN-building approach may offer valuable insights for future fMRI studies.
    MeSH term(s) Male ; Humans ; Female ; Young Adult ; Adult ; Middle Aged ; Aged ; Aged, 80 and over ; Brain Mapping/methods ; Brain/physiology ; Aging/physiology ; Magnetic Resonance Imaging/methods ; Cognition/physiology ; Dementia
    Language English
    Publishing date 2024-02-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1147767-2
    ISSN 1095-9572 ; 1053-8119
    ISSN (online) 1095-9572
    ISSN 1053-8119
    DOI 10.1016/j.neuroimage.2024.120540
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3664: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MO 7: Show issues

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  4. Article ; Online: Reply To

    Albert C. Yang / Chung-Kang Peng / Norden E. Huang

    Nature Communications, Vol 13, Iss 1, Pp 1-

    Comments on identifying causal relationships in nonlinear dynamical systems via empirical mode decomposition

    2022  Volume 3

    Keywords Science ; Q
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Resting State Dynamics in People with Varying Degrees of Anxiety and Mindfulness: A Nonlinear and Nonstationary Perspective.

    Jaiswal, Satish / Huang, Shih-Lin / Juan, Chi-Hung / Huang, Norden E / Liang, Wei-Kuang

    Neuroscience

    2023  Volume 519, Page(s) 177–197

    Abstract: Anxiety and mindfulness are two inversely linked traits shown to be involved in various physiological domains. The current study used resting state electroencephalography (EEG) to explore differences between people with low mindfulness-high anxiety (LMHA) ...

    Abstract Anxiety and mindfulness are two inversely linked traits shown to be involved in various physiological domains. The current study used resting state electroencephalography (EEG) to explore differences between people with low mindfulness-high anxiety (LMHA) (n = 29) and high mindfulness-low anxiety (HMLA) (n = 27). The resting EEG was collected for a total of 6 min, with a randomized sequence of eyes closed and eyes opened conditions. Two advanced EEG analysis methods, Holo-Hilbert Spectral Analysis and Holo-Hilbert cross-frequency phase clustering (HHCFPC) were employed to estimate the power-based amplitude modulation of carrier frequencies, and cross-frequency coupling between low and high frequencies, respectively. The presence of higher oscillation power across the delta and theta frequencies in the LMHA group than the HMLA group might have been due to the similarity between the resting state and situations of uncertainty, which reportedly triggers motivational and emotional arousal. Although these two groups were formed based on their trait anxiety and trait mindfulness scores, it was anxiety that was found to be significant predictor of the EEG power, not mindfulness. It led us to conclude that it might be anxiety, not mindfulness, which might have contributed to higher electrophysiological arousal. Additionally, a higher δ-β and δ-γ CFC in LMHA suggested greater local-global neural integration, consequently a greater functional association between cortex and limbic system than in the HMLA group. The present cross-sectional study may guide future longitudinal studies on anxiety aiming with interventions such as mindfulness to characterize the individuals based on their resting state physiology.
    MeSH term(s) Humans ; Anxiety ; Anxiety Disorders ; Cerebral Cortex/physiology ; Cross-Sectional Studies ; Electroencephalography/methods
    Language English
    Publishing date 2023-03-24
    Publishing country United States
    Document type Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 196739-3
    ISSN 1873-7544 ; 0306-4522
    ISSN (online) 1873-7544
    ISSN 0306-4522
    DOI 10.1016/j.neuroscience.2023.03.012
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1215: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: A data-driven tool for tracking and predicting the course of COVID-19 epidemic as it evolves

    Norden E Huang / Fangli Qiao / Ka-Kit Tung

    Abstract: For an emergent disease, such as Covid-19, with no past epidemiological data to guide models, modelers struggle to make predictions of the course of the epidemic (1). Policy decisions depend on such predictions but they vary widely. On the other hand ... ...

    Abstract For an emergent disease, such as Covid-19, with no past epidemiological data to guide models, modelers struggle to make predictions of the course of the epidemic (1). Policy decisions depend on such predictions but they vary widely. On the other hand much empirical information is already contained in the data of evolving epidemiological profiles. We show, both with evidence from data, and theoretically, how the ratio of daily infected and recovered cases can be used to track and predict the course of the epidemic. Ability to predict the turning points and the end of the epidemic is of crucial importance for fighting the epidemic and planning for a return to normalcy. The accuracy of the prediction of the peaks of the epidemic is validated using data in different regions in China showing the effects of different levels of quarantine. The validated tool can be applied to other countries where Covid-19 has spread, and generally to future epidemics. A preliminary prediction for South Korea is made with limited data, with end of the epidemic as early as the second week of April, surprisingly.
    Keywords covid19
    Publisher medrxiv
    Document type Article ; Online
    DOI 10.1101/2020.03.28.20046177
    Database COVID19

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  8. Article ; Online: Robust Kramers-Kronig holographic imaging with Hilbert-Huang transform.

    Chang, Xuyang / Shen, Cheng / Liu, Sitian / Zheng, Dezhi / Wang, Shuai / Yang, Changhuei / Huang, Norden E / Bian, Liheng

    Optics letters

    2023  Volume 48, Issue 15, Page(s) 4161–4164

    Abstract: ... at enhancing the noise robustness of KKR holography. Our proposal involves employing the Hilbert-Huang ...

    Abstract Holography based on Kramers-Kronig relations (KKR) is a promising technique due to its high-space-bandwidth product. However, the absence of an iterative process limits its noise robustness, primarily stemming from the lack of a regularization constraint. This Letter reports a generalized framework aimed at enhancing the noise robustness of KKR holography. Our proposal involves employing the Hilbert-Huang transform to connect the real and imaginary parts of an analytic function. The real part is initially processed by bidimensional empirical mode decomposition into a series of intrinsic mode functions (IMFs) and a residual term. They are then selected to remove the noise and bias terms. Finally, the imaginary part can be obtained using the Hilbert transform. In this way, we efficiently suppress the noise in the synthetic complex function, facilitating high-fidelity wavefront reconstruction using ∼20
    Language English
    Publishing date 2023-07-31
    Publishing country United States
    Document type Journal Article
    ISSN 1539-4794
    ISSN (online) 1539-4794
    DOI 10.1364/OL.495895
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  9. Article ; Online: The association between working memory precision and the nonlinear dynamics of frontal and parieto-occipital EEG activity.

    Chang, Wen-Sheng / Liang, Wei-Kuang / Li, Dong-Han / Muggleton, Neil G / Balachandran, Prasad / Huang, Norden E / Juan, Chi-Hung

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 14252

    Abstract: ... on the Hilbert-Huang transforms. The results showed that WM load modulated parieto-occipital alpha/beta power ...

    Abstract Electrophysiological working memory (WM) research shows brain areas communicate via macroscopic oscillations across frequency bands, generating nonlinear amplitude modulation (AM) in the signal. Traditionally, AM is expressed as the coupling strength between the signal and a prespecified modulator at a lower frequency. Therefore, the idea of AM and coupling cannot be studied separately. In this study, 33 participants completed a color recall task while their brain activity was recorded through EEG. The AM of the EEG data was extracted using the Holo-Hilbert spectral analysis (HHSA), an adaptive method based on the Hilbert-Huang transforms. The results showed that WM load modulated parieto-occipital alpha/beta power suppression. Furthermore, individuals with higher frontal theta power and lower parieto-occipital alpha/beta power exhibited superior WM precision. In addition, the AM of parieto-occipital alpha/beta power predicted WM precision after presenting a target-defining probe array. The phase-amplitude coupling (PAC) between the frontal theta phase and parieto-occipital alpha/beta AM increased with WM load while processing incoming stimuli, but the PAC itself did not predict the subsequent recall performance. These results suggest frontal and parieto-occipital regions communicate through theta-alpha/beta PAC. However, the overall recall precision depends on the alpha/beta AM following the onset of the retro cue.
    MeSH term(s) Humans ; Animals ; Memory, Short-Term ; Nonlinear Dynamics ; Brain ; Cardiac Electrophysiology ; Gastropoda ; Electroencephalography
    Language English
    Publishing date 2023-08-31
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-41358-0
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  10. Article: A model for the spread of infectious diseases compatible with case data.

    Huang, Norden E / Qiao, Fangli / Wang, Qian / Qian, Hong / Tung, Ka-Kit

    Proceedings. Mathematical, physical, and engineering sciences

    2021  Volume 477, Issue 2254, Page(s) 20210551

    Abstract: For epidemics such as COVID-19, with a significant population having asymptomatic, untested infection, model predictions are often not compatible with data reported only for the cases confirmed by laboratory tests. Additionally, most compartmental models ...

    Abstract For epidemics such as COVID-19, with a significant population having asymptomatic, untested infection, model predictions are often not compatible with data reported only for the cases confirmed by laboratory tests. Additionally, most compartmental models have instantaneous recovery from infection, contrary to observation. Tuning such models with observed data to obtain the unknown infection rate is an ill-posed problem. Here, we derive from the first principle an epidemiological model with delay between the newly infected (
    Language English
    Publishing date 2021-10-13
    Publishing country England
    Document type Journal Article
    ZDB-ID 209241-4
    ISSN 1471-2946 ; 1364-5021 ; 0962-8444 ; 0080-4630 ; 0950-1207
    ISSN (online) 1471-2946
    ISSN 1364-5021 ; 0962-8444 ; 0080-4630 ; 0950-1207
    DOI 10.1098/rspa.2021.0551
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    In stock of ZB MED Bonn / Germany

    Z 46/95: Show issues

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