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  • 1
    Online Resource
    Online Resource
    Olfactory functional covariance connectivity in Parkinson’s disease: Evidence from a Chinese population
    Frontiers Media SA ; 2023
    In:  Frontiers in Aging Neuroscience Vol. 14 ( 2023-1-4)
    Details
    In: Frontiers in Aging Neuroscience, Frontiers Media SA, Vol. 14 ( 2023-1-4)
    Abstract: Central anosmia is a potential marker of the prodrome and progression of Parkinson’s disease (PD). Resting-state functional magnetic resonance imaging studies have shown that olfactory dysfunction is related to abnormal changes in central olfactory-related structures in patients with early PD. Methods This study, which was conducted at Guanyun People’s Hospital, analyzed the resting-state functional magnetic resonance data using the functional covariance connection strength method to decode the functional connectivity between the white–gray matter in a Chinese population comprising 14 patients with PD and 13 controls. Results The following correlations were observed in patients with PD: specific gray matter areas related to smell (i.e., the brainstem, right cerebellum, right temporal fusiform cortex, bilateral superior temporal gyrus, right Insula, left frontal pole and right superior parietal lobule) had abnormal connections with white matter fiber bundles (i.e., the left posterior thalamic radiation, bilateral posterior corona radiata, bilateral superior corona radiata and right superior longitudinal fasciculus); the connection between the brainstem [region of interest (ROI) 1] and right cerebellum (ROI2) showed a strong correlation. Right posterior corona radiation (ROI11) showed a strong correlation with part 2 of the Unified Parkinson’s Disease Rating Scale, and right superior longitudinal fasciculus (ROI14) showed a strong correlation with parts 1, 2, and 3 of the Unified Parkinson’s Disease Rating Scale and Hoehn and Yahr Scale. Discussion The characteristics of olfactory-related brain networks can be potentially used as neuroimaging biomarkers for characterizing PD states. In the future, dynamic testing of olfactory function may help improve the accuracy and specificity of olfactory dysfunction in the diagnosis of neurodegenerative diseases.
    Type of Medium: Online Resource
    ISSN: 1663-4365
    URL: Article
    DOI: 10.3389/fnagi.2022.1071520
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2558898-9
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  • 2
    Online Resource
    Online Resource
    Outcomes and risk factors of perforating and non-perforating middle cerebral artery infarctions after intravenous thrombolysis
    Springer Science and Business Media LLC ; 2022
    In:  Journal of Thrombosis and Thrombolysis Vol. 53, No. 3 ( 2022-04), p. 722-730
    Details
    In: Journal of Thrombosis and Thrombolysis, Springer Science and Business Media LLC, Vol. 53, No. 3 ( 2022-04), p. 722-730
    Type of Medium: Online Resource
    ISSN: 0929-5305 , 1573-742X
    URL: Article
    DOI: 10.1007/s11239-021-02620-2
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2017305-2
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  • 3
    Online Resource
    Online Resource
    Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson’s Disease
    Frontiers Media SA ; 2022
    In:  Frontiers in Neuroscience Vol. 16 ( 2022-3-4)
    Details
    In: Frontiers in Neuroscience, Frontiers Media SA, Vol. 16 ( 2022-3-4)
    Abstract: Before the onset of motor symptoms, Parkinson’s disease (PD) involves dysfunction of the anterior olfactory nucleus and olfactory bulb, causing olfactory disturbance, commonly resulting in hyposmia in the early stages of PD. Accumulating evidence has shown that blood oxygen level dependent (BOLD) signals in white matter are altered by olfactory disorders and related stimuli, and the signal changes in brain white matter pathways show a certain degree of specificity, which can reflect changes of early olfactory dysfunction in Parkinson’s disease. In this study, we apply the functional covariance connectivity (FCC) method to decode FCC of gray and white matter in olfactory-related brain regions in Parkinson’s disease. Our results show that the dorsolateral prefrontal, anterior entorhinal cortex and fronto-orbital cortices in the gray matter have abnormal connectivity with the posterior corona radiata and superior corona radiata in white matter in patients with Parkinson’s hyposmia. The functional covariance connection strength (FCS) of the right dorsolateral prefrontal cortex and white matter, and the covariance connection strength of the left superior corona radiata and gray matter function have potential diagnostic value. These results demonstrate that alterations in FCC of gray and white matter in olfactory-related brain regions can reflect the change of olfactory function in the early stages of Parkinson’s disease, indicating that it could be a potential neuroimaging marker for early diagnosis.
    Type of Medium: Online Resource
    ISSN: 1662-453X
    URL: Article
    DOI: 10.3389/fnins.2022.853061
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2411902-7
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  • 4
    Online Resource
    Online Resource
    Functional brain networks underlying the interaction between central and peripheral processes involved in Chinese handwriting in children and adults
    Wiley ; 2023
    In:  Human Brain Mapping Vol. 44, No. 1 ( 2023-01), p. 142-155
    Details
    In: Human Brain Mapping, Wiley, Vol. 44, No. 1 ( 2023-01), p. 142-155
    Abstract: The neural mechanisms that support handwriting, an important mode of human communication, are thought to be controlled by a central process (responsible for spelling) and a peripheral process (responsible for motor output). However, the relationship between central and peripheral processes has been debated. Using functional magnetic resonance imaging, this study examined the neural mechanisms underlying this relationship in Chinese handwriting in 36 children (mean age = 10.40 years) and 56 adults (mean age = 22.36 years) by manipulating character frequency (a central variable). Brain network analysis showed that character frequency reconfigured functional brain networks known to underlie motor processes, including the somatomotor and cerebellar network, in both children and adults, indicating that central processing cascades into peripheral processing. Furthermore, the network analysis characterized the interaction profiles between motor networks and linguistic‐cognitive networks, fully mapping the neural architecture that supports the interaction of central and peripheral processes involved in handwriting. Taken together, these results reveal the neural interface underlying the interaction between central and peripheral processes involved in handwriting in a logographic writing system, advancing our understanding of the neural basis of handwriting.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v44.1
    DOI: 10.1002/hbm.26055
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 1492703-2
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  • 5
    Online Resource
    Online Resource
    Men and women differ in the neural basis of handwriting
    Wiley ; 2020
    In:  Human Brain Mapping Vol. 41, No. 10 ( 2020-07), p. 2642-2655
    Details
    In: Human Brain Mapping, Wiley, Vol. 41, No. 10 ( 2020-07), p. 2642-2655
    Abstract: There is an ongoing debate about whether, and to what extent, males differ from females in their language skills. In the case of handwriting, a composite language skill involving language and motor processes, behavioral observations consistently show robust sex differences but the mechanisms underlying the effect are unclear. Using functional magnetic resonance imaging (fMRI) in a copying task, the present study examined the neural basis of sex differences in handwriting in 53 healthy adults (ages 19–28, 27 males). Compared to females, males showed increased activation in the left posterior middle frontal gyrus (Exner's area), a region thought to support the conversion between orthographic and graphomotor codes. Functional connectivity between Exner's area and the right cerebellum was greater in males than in females. Furthermore, sex differences in brain activity related to handwriting were independent of language material. This study identifies a novel neural signature of sex differences in a hallmark of human behavior, and highlights the importance of considering sex as a factor in scientific research and clinical applications involving handwriting.
    Type of Medium: Online Resource
    ISSN: 1065-9471 , 1097-0193
    URL: Issue
    URL: Article
    DOI: 10.1002/hbm.v41.10
    DOI: 10.1002/hbm.24968
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 1492703-2
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  • 6
    Online Resource
    Online Resource
    The Brain Alteration of Seafarer Revealed by Activated Functional Connectivity Mode in fMRI Data Analysis
    Frontiers Media SA ; 2021
    In:  Frontiers in Human Neuroscience Vol. 15 ( 2021-4-22)
    Details
    In: Frontiers in Human Neuroscience, Frontiers Media SA, Vol. 15 ( 2021-4-22)
    Abstract: As a special occupational group, the working and living environments faced by seafarers are greatly different from those of land. It is easy to affect the psychological and physiological activities of seafarers, which inevitably lead to changes in the brain functional activities of seafarers. Therefore, it is of great significance to study the neural activity rules of seafarers’ brain. In view of this, this paper studied the seafarers’ brain alteration at the activated voxel level based on functional magnetic resonance imaging technology by comparing the differences in functional connectivities (FCs) between seafarers and non-seafarers. Firstly, the activated voxels of each group were obtained by independence component analysis, and then the distribution of these voxels in the brain and the common activated voxels between the two groups were statistically analyzed. Next, the FCs between the common activated voxels of the two groups were calculated and obtained the FCs that had significant differences between them through two-sample T -test. Finally, all FCs and FCs with significant differences (DFCs) between the common activated voxels were used as the features for the support vector machine to classify seafarers and non-seafarers. The results showed that DFCs between the activated voxels had better recognition ability for seafarers, especially for Precuneus_L and Precuneus_R, which may play an important role in the classification prediction of seafarers and non-seafarers, so that provided a new perspective for studying the specificity of neurological activities of seafarers.
    Type of Medium: Online Resource
    ISSN: 1662-5161
    URL: Article
    DOI: 10.3389/fnhum.2021.656638
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2425477-0
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  • 7
    Online Resource
    Online Resource
    Editorial: Data-driven clinical biosignatures and treatment for neurodegenerative diseases, volume II
    Frontiers Media SA ; 2024
    In:  Frontiers in Neuroscience Vol. 18 ( 2024-3-18)
    Details
    In: Frontiers in Neuroscience, Frontiers Media SA, Vol. 18 ( 2024-3-18)
    Type of Medium: Online Resource
    ISSN: 1662-453X
    URL: Article
    DOI: 10.3389/fnins.2024.1396702
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2411902-7
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  • 8
    Online Resource
    Online Resource
    Extraction and Analysis of Dynamic Functional Connectome Patterns in Migraine Sufferers: A Resting-State fMRI Study
    Hindawi Limited ; 2021
    In:  Computational and Mathematical Methods in Medicine Vol. 2021 ( 2021-4-17), p. 1-14
    Details
    In: Computational and Mathematical Methods in Medicine, Hindawi Limited, Vol. 2021 ( 2021-4-17), p. 1-14
    Abstract: Migraine seriously affects the physical and mental health of patients because of its recurrence and the hypersensitivity to the environment that it causes. However, the pathogenesis and pathophysiology of migraine are not fully understood. We addressed this issue in the present study using an autodynamic functional connectome model (A-DFCM) with twice-clustering to compare dynamic functional connectome patterns (DFCPs) from resting-state functional magnetic resonance imaging data from migraine patients and normal control subjects. We used automatic localization of segment points to improve the efficiency of the model, and intergroup differences and network metrics were analyzed to identify the neural mechanisms of migraine. Using the A-DFCM model, we identified 17 DFCPs—including 1 that was specific and 16 that were general—based on intergroup differences. The specific DFCP was closely associated with neuronal dysfunction in migraine, whereas the general DFCPs showed that the 2 groups had similar functional topology as well as differences in the brain resting state. An analysis of network metrics revealed the critical brain regions in the specific DFCP; these were not only distributed in brain areas related to pain such as Brodmann area 1/2/3, basal ganglia, and thalamus but also located in regions that have been implicated in migraine symptoms such as the occipital lobe. An analysis of the dissimilarities in general DFCPs between the 2 groups identified 6 brain areas belonging to the so-called pain matrix. Our findings provide insight into the neural mechanisms of migraine while also identifying neuroimaging biomarkers that can aid in the diagnosis or monitoring of migraine patients.
    Type of Medium: Online Resource
    ISSN: 1748-6718 , 1748-670X
    URL: Article
    DOI: 10.1155/2021/6614520
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2256917-0
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  • 9
    Online Resource
    Online Resource
    A robust self-driven surface crack detection algorithm using local features
    British Institute of Non-Destructive Testing (BINDT) ; 2020
    In:  Insight - Non-Destructive Testing and Condition Monitoring Vol. 62, No. 5 ( 2020-05-01), p. 269-276
    Details
    In: Insight - Non-Destructive Testing and Condition Monitoring, British Institute of Non-Destructive Testing (BINDT), Vol. 62, No. 5 ( 2020-05-01), p. 269-276
    Abstract: This paper presents an effective image analysis method for visual surface crack detection, called a robust self-driven crack detection algorithm (RSCDA). Firstly, a local texture anisotropy (LTA) is estimated based on self-driven local feature statistics from the original photograph. Secondly, the LTA is used to detect candidate crack pixels. Finally, the actual crack pixels are accurately identified using two effective measurements for connected domains based on discriminative direction and relative sparse features. The results demonstrate that the RSCDA is an effective and robust surface crack detection method for building materials or textiles.
    Type of Medium: Online Resource
    ISSN: 1354-2575
    URL: Article
    DOI: 10.1784/insi.2020.62.5.269
    Language: English
    Publisher: British Institute of Non-Destructive Testing (BINDT)
    Publication Date: 2020
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  • 10
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    Online Resource
    Earlier second language acquisition is associated with greater neural pattern dissimilarity between the first and second languages
    Elsevier BV ; 2020
    In:  Brain and Language Vol. 203 ( 2020-04), p. 104740-
    Details
    In: Brain and Language, Elsevier BV, Vol. 203 ( 2020-04), p. 104740-
    Type of Medium: Online Resource
    ISSN: 0093-934X
    URL: Article
    DOI: 10.1016/j.bandl.2019.104740
    RVK:
    EQ 1000
    RVK:
    XA 10000
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1462477-1
    SSG: 5,2
    SSG: 7,11
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