ArticleAlzheimer's research & therapy2021
Recurrent and concurrent patterns of regional BOLD dynamics and functional connectivity dynamics in cognitive decline.
Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
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- Dynamic reconfiguration of aperiodic brain activity supports cognitive functioning in epilepsy: A neural fingerprint identification.iScience · 2025Article
- Acupuncture Modulates Spatiotemporal Neuronal Dynamics in Mild Cognitive Impairment: A Protocol for Simultaneous EEG-fMRI Study.Journal of multidisciplinary healthcare · 2025Article
- Brain network dynamics in patients with single- and multiple-domain amnestic mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Dysfunctions of multiscale dynamic brain functional networks in subjective cognitive decline.Brain communications · 2024Article
- Early altered directionality of resting brain network state transitions in the TgF344-AD rat model of Alzheimer's disease.Frontiers in human neuroscience · 2024Article
- Individual functional parcellation revealed compensation of dynamic limbic network organization in healthy ageing.Human brain mapping · 2023Article
- Static and dynamic resting-state brain activity patterns of table tennis players in 7-Tesla MRI.Frontiers in neuroscience · 2023Article
- Altered dynamic effective connectivity of the default mode network in type 2 diabetes.Frontiers in neurology · 2023Article
- Altered basal forebrain function during whole-brain network activity at pre- and early-plaque stages of Alzheimer's disease in TgF344-AD rats.Alzheimer's research & therapy · 2022Article
- Static and dynamic functional connectivity variability of the anterior-posterior hippocampus with subjective cognitive decline.Alzheimer's research & therapy · 2022Article
- Recent contributions to the field of subjective cognitive decline in aging: A literature review.Alzheimer's & dementia (Amsterdam, Netherlands)Review
- The characteristic patterns of dynamic network reconfiguration underlying subjective cognitive decline.Journal of Alzheimer's disease reportsArticle
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12 authors.
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Abstract
backgroundThe brain's dynamic spontaneous neural activity and dynamic functional connectivity (dFC) are both important in supporting cognition, but how these two types of brain dynamics evolve and co-evolve in subjective cognitive decline (SCD) and mild cognitive impairment (MCI) remain unclear. The aim of the present study was to investigate recurrent and concurrent patterns of two types of dynamic brain states correlated with cognitive decline.
methodsThe present study analyzed resting-state functional magnetic resonance imaging data from 62 SCD patients, 75 MCI patients, and 70 healthy controls (HCs). We used the sliding-window and clustering method to identify two types of recurrent brain states from both dFC and dynamic regional spontaneous activity, as measured by dynamic fractional amplitude of low-frequency fluctuations (dfALFF). Then, the occurrence frequency of a dFC or dfALFF state and the co-occurrence frequency of a pair of dFC and dfALFF states among all time points are extracted for each participant to describe their dynamics brain patterns.
resultsWe identified a few recurrent states of dfALFF and dFC and further ascertained the co-occurrent patterns of these two types of dynamic brain states (i.e., dfALFF and dFC states). Importantly, the occurrence frequency of a default-mode network (DMN)-dominated dFC state was significantly different between HCs and SCD patients, and the co-occurrence frequencies of a DMN-dominated dFC state and a DMN-dominated dfALFF state were also significantly different between SCD and MCI patients. These two dynamic features were both significantly positively correlated with Mini-Mental State Examination scores.
conclusionOur findings revealed novel fMRI-based neural signatures of cognitive decline from recurrent and concurrent patterns of dfALFF and dFC, providing strong evidence supporting SCD as the transition phase between normal aging and MCI. This finding holds potential to differentiate SCD patients from HCs via both dFC and dfALFF as objective neuroimaging biomarkers, which may aid in the early diagnosis and intervention of Alzheimer's disease.
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