Alterations in Dynamic Functional Connectivity in Individuals With Subjective Cognitive Decline

Chen, Qian; Lu, Jiaming; Zhang, Xin; Sun, Yi; Chen, Wenqian; Li, Xin; Zhang, Wen; Qing, Zhao; Zhang, Bing

doi:10.3389/fnagi.2021.646017

Cited by 26 publications

(23 citation statements)

References 60 publications

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“…A possible explanation for why these alterations cannot be used in early diagnoses is that global topological measures may not be sensitive enough to detect minor changes at the early disease stage. For example, normal topological measures have also been reported in patients with subjective cognitive decline ( Chen et al, 2021 ), which is considered as the prodromal stage of Alzheimer’s disease (AD), while significant abnormalities occur in the AD stages.…”

Section: Discussionmentioning

confidence: 99%

Topological Alterations of the Brain Functional Network in Type 2 Diabetes Mellitus Patients With and Without Mild Cognitive Impairment

Zhou

Wang

Yang

et al. 2022

Front. Aging Neurosci.

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The aim of this study was to explore the topological alterations of the brain functional network in type 2 diabetes mellitus (T2DM) patients with and without mild cognitive impairment (MCI) using resting-state functional magnetic resonance imaging (rs-fMRI) and graph theory approaches. In total, 27 T2DM patients with MCI, 27 T2DM patients without MCI, and 27 healthy controls (HCs) underwent rs-fMRI scanning. The whole-brain functional network was constructed by thresholding the Pearson’s correlation matrices of 90 brain regions. The topological organization of the constructed networks was analyzed by using graph theory approaches. The global and nodal properties of the participants in the three groups were compared by using one-way ANOVA as well as post hoc Tukey’s t-tests. The relationships between the altered topological properties and clinical features or scores of neuropsychological tests were analyzed in T2DM patients with MCI. At the global level, the global and local efficiency of the patients in the T2DM with MCI group were significantly higher than that of participants in the HCs group, and the length of the characteristic path was significantly lower than that of the participants in the HCs group (p < 0.05). No significant difference was found among the other groups. At the nodal level, when compared with T2DM patients without MCI, T2DM patients with MCI showed significantly increased nodal centrality in four brain regions, which were mainly located in the orbitofrontal lobe and anterior cingulate gyrus (ACG) (p < 0.05). No significant difference was found between the T2DM patients without MCI and HCs. Moreover, nodal degree related coefficient (r = −0381, p = 0.050) and nodal efficiency (r = −0.405, P = 0.036) of the ACG showed a significant closed correlation with the scores of the digit span backward test in the T2DM patients with MCI. Our results suggested that the increased nodal properties in brain regions of the orbitofrontal lobe and ACG were biomarkers of cognitive impairment in T2DM patients and could be used for its early diagnosis. The global topological alterations may be related to the combination of MCI and T2DM, rather than any of them.

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Section: Discussionmentioning

confidence: 99%

Topological Alterations of the Brain Functional Network in Type 2 Diabetes Mellitus Patients With and Without Mild Cognitive Impairment

Zhou

Wang

Yang

et al. 2022

Front. Aging Neurosci.

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“…Furthermore, España et al reported that intraneuronal β-amyloid accumulation in the amygdala may enhance anxiety and fear in an AD mouse model [43]. Previous studies have also demonstrated that an accumulation of AD pathology in the amygdala is detrimental to cognition in preclinical AD patients, and that amygdala atrophy may be an early marker of AD [44][45][46]. Moreover, Bouchard et al reported that a smaller amygdala is associated with cognitive de cits in PD [47].…”

Section: Discussionmentioning

confidence: 99%

Amygdala Abnormalities Are Related to Anxiety in Patients With Sporadic Amyotrophic Lateral Sclerosis

Liu

Zhao

Ren

et al. 2021

Preprint

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To explore selective atrophy patterns and resting-state functional connection (FC) alterations in the amygdala at different stages of amyotrophic lateral sclerosis (ALS), and to determine any correlations between amygdala abnormalities and neuropsychiatric symptoms. We used the King’s clinical staging system for ALS to divide 83 consecutive patients with ALS into comparable subgroups at different disease stages. We investigated the pattern of selective amygdala subnucleus atrophy and analysed amygdala-based whole-brain FC analysis in the patients and 94 healthy controls (HCs). Cognitive and emotional functions were also evaluated using a neuropsychological test battery. There were no significant differences between King’s stage 1 ALS patients and HCs for any amygdala subnucleus volumes. Compared with HCs, King’s stage 2 patients had significantly lower left accessory basal nucleus and cortico-amygdaloid transition volumes after Bonferroni correction. Furthermore, after Bonferroni correction, King’s stage 3 patients demonstrated significant reductions in most subnucleus volumes as well as global amygdala volume compared with HCs. Notably, amygdala-based resting-state FC was unaltered in ALS patients until King’s stage 3. Specific subnucleus volumes were significantly associated with Mini-Mental State Examination scores and Hamilton Anxiety Rating Scale scores in ALS patients. In conclusions, our study provides a comprehensive profile of amygdala abnormalities in ALS patients. The pattern of amygdala abnormalities in ALS patients differed across King’s clinical disease stages, and our findings suggest that amygdala abnormalities are an important feature of patients with ALS. Moreover, amygdala volume may play an important role in anxiety and cognitive dysfunction in ALS patients.

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“…In this study, a sliding window method ( Chen et al, 2016 , 2021 ; de Vos et al, 2018 ; Lei et al, 2021 ) was performed to establish a spatiotemporal network as shown in Figure 2 . A detailed construction process is described as follows.…”

Section: Methodsmentioning

confidence: 99%

“…Currently, the main methods used in the dynamic functional connectivity analysis include sliding window analysis, clustering analysis, time-frequency coherence analysis, and dynamic graph theory analysis ( Preti et al, 2017 ). Among them, a large number of studies ( Chen et al, 2016 , 2021 ; de Vos et al, 2018 ; Lei et al, 2021 ) have adopted the time-sliding window approach to analyze the time-varying domain of functional connectivity. In this way, an entire rs-fMRI time series is divided into multiple subseries.…”

Section: Introductionmentioning

confidence: 99%

A Spatiotemporal Brain Network Analysis of Alzheimer’s Disease Based on Persistent Homology

Xing

Jia

et al. 2022

Front. Aging Neurosci.

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Current brain network studies based on persistent homology mainly focus on the spatial evolution over multiple spatial scales, and there is little research on the evolution of a spatiotemporal brain network of Alzheimer’s disease (AD). This paper proposed a persistent homology-based method by combining multiple temporal windows and spatial scales to study the spatiotemporal evolution of brain functional networks. Specifically, a time-sliding window method was performed to establish a spatiotemporal network, and the persistent homology-based features of such a network were obtained. We evaluated our proposed method using the resting-state functional MRI (rs-fMRI) data set from Alzheimer’s Disease Neuroimaging Initiative (ADNI) with 31 patients with AD and 37 normal controls (NCs). In the statistical analysis experiment, most network properties showed a better statistical power in spatiotemporal networks than in spatial networks. Moreover, compared to the standard graph theory properties in spatiotemporal networks, the persistent homology-based features detected more significant differences between the groups. In the clustering experiment, the brain networks on the sliding windows of all subjects were clustered into two highly structured connection states. Compared to the NC group, the AD group showed a longer residence time and a higher window ratio in a weak connection state, which may be because patients with AD have not established a firm connection. In summary, we constructed a spatiotemporal brain network containing more detailed information, and the dynamic spatiotemporal brain network analysis method based on persistent homology provides stronger adaptability and robustness in revealing the abnormalities of the functional organization of patients with AD.

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Alterations in Dynamic Functional Connectivity in Individuals With Subjective Cognitive Decline

Cited by 26 publications

References 60 publications

Topological Alterations of the Brain Functional Network in Type 2 Diabetes Mellitus Patients With and Without Mild Cognitive Impairment

Topological Alterations of the Brain Functional Network in Type 2 Diabetes Mellitus Patients With and Without Mild Cognitive Impairment

Amygdala Abnormalities Are Related to Anxiety in Patients With Sporadic Amyotrophic Lateral Sclerosis

A Spatiotemporal Brain Network Analysis of Alzheimer’s Disease Based on Persistent Homology

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