Concordance of Intrinsic Brain Connectivity Measures Is Disrupted in Alzheimer's Disease

Chen, Xiangliang; Onur, Özgür; Richter, Nils; Fassbender, Ronja; Gramespacher, Hannes; Behfar, Qumars; Reutern, Boris von; Dillen, Kim; Jacobs, Heidi I.L.; Kukolja, Juraj; Fink, Gereon R.; Dronse, Julian

doi:10.1089/brain.2020.0918

Cited by 4 publications

(3 citation statements)

References 56 publications

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“…For detecting regional functional abnormalities, voxel-wise concordance may be the novel symbols based on the single rs-fMRI measurements. For example, concordance studies have been performed on schizophrenia ( Zhu et al, 2018 ), subjective cognitive decline (SCD; Yang et al, 2021 ), and Alzheimer’s disease (AD; Chen et al, 2021 ), which have identified abnormalities in spontaneous dynamic brain activity and integration.…”

Section: Discussionmentioning

confidence: 99%

“…Some meta-analyses of neuroimaging data have attempted to identify abnormalities in the consistency of IBA patterns in PD, such as studying the amplitude of low-frequency fluctuations (ALFF; Pan et al, 2017 ; Wang et al, 2018 ) or regional homogeneity (ReHo; Pan et al, 2016 ), and functional connectivity network ( Tahmasian et al, 2017 ). There are also relevant studies on the degree centrality (DC; Guo et al, 2020 ; Chen et al, 2021 ), and voxel-minored homotopic connectivity (VMHC; Luo et al, 2015 ). However, most current rs-fMRI research in PD patients has focused on static characteristics of human brain activity and neglected the dynamic properties of IBA in the temporal dimension ( Hutchison et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

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Aberrant Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity Indices in Parkinson’s Disease: A Resting-State fMRI Study

Tian

Chen

et al. 2022

Front. Aging Neurosci.

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Researches using resting-state functional magnetic resonance imaging (rs-fMRI) have applied different regional measurements to study the intrinsic brain activity (IBA) of patients with Parkinson’s disease (PD). Most previous studies have only examined the static characteristics of IBA in patients with PD, neglecting the dynamic features. We sought to explore the concordance between the dynamics of different rs-fMRI regional indices. This study included 31 healthy controls (HCs) and 57 PD patients to calculate the volume-wise (across voxels) and voxel-wise (across periods) concordance using a sliding time window approach. This allowed us to compare the concordance of dynamic alterations in frequently used metrics such as degree centrality (DC), global signal connectivity (GSC), voxel-mirrored heterotopic connectivity (VMHC), the amplitude of low-frequency fluctuations (ALFF), and regional homogeneity (ReHo). We analyzed the changes of concordance indices in the PD patients and investigated the relationship between aberrant concordance values and clinical/neuropsychological assessments in the PD patients. We found that, compared with the HCs, the PD patients had lower volume concordance in the whole brain and lower voxel-wise concordance in the posterior cerebellar lobe, cerebellar tonsils, superior temporal gyrus, and supplementary motor region. We also found negative correlations between these concordance alterations and patients’ age. The exploratory results contribute to a better understanding of IBA alterations and pathophysiological mechanisms in PD.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Aberrant Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity Indices in Parkinson’s Disease: A Resting-State fMRI Study

Tian

Chen

et al. 2022

Front. Aging Neurosci.

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“…Zhang et al [72] proposed a study on the classification of brain disorders in rs-fMRI via Local-to-Global Graph Neural Networks. Specifically, this technique aims to learn a region of interest graph neural networks based on a regional brain graph, analyze the characteristics of local brain regions, and identify biomarkers.…”

Section: Mri and Clinical Biomarkers In Alzheimer's Diseasementioning

confidence: 99%

MRI and Clinical Biomarkers Overlap between Glaucoma and Alzheimer’s Disease

Martucci,

Di Giuliano,

Minosse

et al. 2023

IJMS

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Glaucoma is the leading cause of blindness worldwide. It is classically associated with structural and functional changes in the optic nerve head and retinal nerve fiber layer, but the damage is not limited to the eye. The involvement of the central visual pathways and disruption of brain network organization have been reported using advanced neuroimaging techniques. The brain structural changes at the level of the areas implied in processing visual information could justify the discrepancy between signs and symptoms and underlie the analogy of this disease with neurodegenerative dementias, such as Alzheimer’s disease, and with the complex group of pathologies commonly referred to as “disconnection syndromes.” This review aims to summarize the current state of the art on the use of advanced neuroimaging techniques in glaucoma and Alzheimer’s disease, highlighting the emerging biomarkers shared by both diseases.

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Ferroptosis and its implications in treating cognitive impairment caused by aging: A study on the mechanism of repetitive transcranial magnetic stimulation

Xu,

Zhou

et al. 2024

Experimental Gerontology

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Concordance of Intrinsic Brain Connectivity Measures Is Disrupted in Alzheimer's Disease

Cited by 4 publications

References 56 publications

Aberrant Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity Indices in Parkinson’s Disease: A Resting-State fMRI Study

Aberrant Volume-Wise and Voxel-Wise Concordance Among Dynamic Intrinsic Brain Activity Indices in Parkinson’s Disease: A Resting-State fMRI Study

MRI and Clinical Biomarkers Overlap between Glaucoma and Alzheimer’s Disease

Ferroptosis and its implications in treating cognitive impairment caused by aging: A study on the mechanism of repetitive transcranial magnetic stimulation

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