Occupational Neuroplasticity in the Human Brain: A Critical Review and Meta-Analysis of Neuroimaging Studies

Wu, Huijun; Yan, Hongjie; Yang, Yang; Xu, Min; Shi, Yuhu; Zeng, Weiming; Li, Jiewei; Zhang, Jian; Chang, Chunqi; Wang, Nizhuan

doi:10.3389/fnhum.2020.00215

Cited by 34 publications

(26 citation statements)

References 151 publications

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“…Recently, research using resting-state fMRI in PD has become more extensive, from functional connection to regional homogeneity. Independent component analysis (ICA) of resting-state fMRI can identify several specific brain networks in both awake and resting states: default mode, saliency, and executive network (Wang et al, 2012(Wang et al, , 2013(Wang et al, , 2015a(Wang et al, ,b, 2017Shi et al, 2015Shi et al, , 2017Shi et al, , 2018Wu et al, 2020) and they have been used in a variety of neurodegenerative diseases including and have been extensively studied in a variety of neurodegenerative diseases-including PD (Pellegrino et al, 2016;Chang et al, 2017). Anatomically, the default mode network includes the medial prefrontal and posterior cingulate cortex.…”

Section: Changes Of Olfactory-related Network In Parkinson's Diseasementioning

confidence: 99%

Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson’s Disease

Wang

Wei

et al. 2022

Front. Neurosci.

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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.

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Section: Changes Of Olfactory-related Network In Parkinson's Diseasementioning

confidence: 99%

Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson’s Disease

Wang

Wei

et al. 2022

Front. Neurosci.

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“…An extreme example is early-onset blindness which is associated with widely distributed changes in gray and white matter (Leporé et al, 2010). More every-day life examples include observations that people with different jobs, body size, or socio-economic status also vary in brain structure (Farah, 2017; Maguire et al, 2000; Vainik et al, 2018; Wu et al, 2020). Similarly, brain structure can change after cognitive training (Zatorre et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Heritability of cortical morphology reflects a sensory-fugal plasticity gradient

Vainik

Paquola

Wang

et al. 2020

Preprint

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Human brain plastically adapts to environmental demands. Here, we propose that naturally occuring plasticity in certain brain areas should be reflected by higher environmental influence and therefore lower heritability of the structure of those brain areas. Mesulam's (1998) seminal overview proposed a hierarchy of plasticity, where higher-order multimodal areas should be more plastic than lower-order sensory areas. Using microstructural and functional gradients as proxies for Mesulam's hierarchy, we seek to test whether these gradients predict heritability of brain structure. We test this model simultaneously across multiple measures of cortical structure and microstructure derived from structural magnet resonance imaging. We also account for multiple other explanations of heritability differences, such as signal-to-noise ratio and spatial autocorrelation. We estimated heritability of brain areas using 984 participants from the Human Connectome Project. Multi-level modelling of heritability differences demonstrated that heritability is explained by both signal quality, as well as by the primary microstructural gradient. Namely, sensory areas had higher heritability and limbic/heteromodal areas had lower heritability. Given the increasing availability of genetically informed imaging data, heritability could be a quick method assess brain plasticity.

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“…In addition, it also has been considered as the "core node" or "hub" of the default mode network that is activated during "resting consciousness" in which people will not consciously participate in sensory or motor activities (Cavanna and Andrea, 2007). While the survival environment faced by seafarers at sea is very likely to affect the functional activity of these brain regions (Wu et al, 2020). For example, the monotonous work content weakens the seafarers' memory-related brain functional activities and the adverse weather conditions require that seafarers pay more attention to the atmosphere's space-time changes.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

The Brain Alteration of Seafarer Revealed by Activated Functional Connectivity Mode in fMRI Data Analysis

Shi

Zeng

Wang³

2021

Front. Hum. Neurosci.

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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.

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Occupational Neuroplasticity in the Human Brain: A Critical Review and Meta-Analysis of Neuroimaging Studies

Cited by 34 publications

References 151 publications

Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson’s Disease

Functional Covariance Connectivity of Gray and White Matter in Olfactory-Related Brain Regions in Parkinson’s Disease

Heritability of cortical morphology reflects a sensory-fugal plasticity gradient

The Brain Alteration of Seafarer Revealed by Activated Functional Connectivity Mode in fMRI Data Analysis

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