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resting-state
187 studies tagged resting-state, dated 1998-03-01 to 2026-10-28. Bibliography: BibTeX (.bib) · RIS (.ris)
Newest in this topic
- From group-level neurophysiological biomarkers to individual-level phenotyping to identify mechanisms of neurodegenerative disease 2026-10-28
- Beyond reduced alpha power: a weaker temporal link between alpha and other brain rhythms in Alzheimer’s disease 2026-10-26
- Network Localization of Anxiety as an Early Manifestation of Alzheimer’s Disease-related Neurodegeneration 2026-10-26
Studies
187 studies carry this tag.
Date range
1998 to 2026
Top journals
- Frontiers in aging neuroscience 10
- bioRxiv 10
- Brain : a journal of neurology 9
- Human brain mapping 7
- Journal of Alzheimer's disease : JAD 7
88 journals in all.
Newest first, then by address. Each study has a usefulness score out of 100 (rubric version 4.0); tap a score to see what makes it up. Tags were assigned automatically from each study's title and summary. The same studies as a filter in the library.
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This review focuses on resting-state functional connectivity, a functional MRI technique which allows the study of spontaneous brain activity generated under resting conditions.
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Although beta-amyloid (Aβ) deposition is a characteristic feature of Alzheimer's disease (AD), this pathology is commonly found in elderly normal controls (NC).
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Social cognitive impairments are consistently reported in schizophrenia and are associated with functional outcome.
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Identifying high-risk populations is an important component of disease prevention strategies.
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Recent research on Alzheimer's disease (AD) has shown that the decline of cognitive and memory functions is accompanied by a disrupted neuronal connectivity characterized by white matter (WM) degeneration.
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Recently, many researchers have used graph theory to study the aberrant brain structures in Alzheimer's disease (AD) and have made great progress.
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There is an urgent need for novel therapeutic approaches for AD.
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In recent years, there has been an explosion of studies on network modeling of brain connectivity.
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Our brain is a network. It consists of spatially distributed, but functionally linked regions that continuously share information with each other.
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The hallmark clinical symptom of early Alzheimer's disease (AD) is episodic memory impairment.
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Before any manifestations of cognitive or behavioral changes, there were differences in resting state connectivity in cognitively normal subjects with brain amyloid deposition, suggesting that early manifestation of Abeta toxicity can be detected using resting state fMRI.
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43/100
Amyloid deposition is present in 20-50% of nondemented older adults yet the functional consequences remain unclear.
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With decreasing local and global connectivity parameters, the large-scale functional brain network organization in AD deviates from the optimal 'small-world' network structure towards a more 'random' type.
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Recent developments in the statistical physics of complex networks have been translated to neuroimaging data in an effort to enhance our understanding of human brain structural and functional networks.
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It is commonly assumed that functional brain connectivity reflects structural brain connectivity.
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Recent evidence suggests that some brain areas act as hubs interconnecting distinct, functionally specialized systems.
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40/100
In this study we examined changes in the large-scale structure of resting-state brain networks in patients with Alzheimer's disease compared with non-demented controls, using concepts from graph theory.
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In this review we are concerned specifically with the putative role of the default-mode network (DMN) in the pathophysiology of mental disorders.
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36/100
Conceptual knowledge provides the basis on which we bring meaning to our world.
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This review considers recent advances in the application of resting-state functional magnetic resonance imaging to the study of neuropsychiatric disorders.
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Brain regions which exhibit temporally coherent fluctuations, have been increasingly studied using functional magnetic resonance imaging (fMRI).
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Functional brain networks detected in task-free ("resting-state") functional magnetic resonance imaging (fMRI) have a small-world architecture that reflects a robust functional organization of the brain.
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Recent research on Alzheimer's disease (AD) has shown that cognitive and memory decline in this disease is accompanied by disrupted changes in the coordination of large-scale brain functional networks.
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Cognitive decline is commonly observed in advanced aging even in the absence of disease.
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Alzheimer's disease (AD) is a neurodegenerative disorder that prominently affects cerebral connectivity.
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Previous studies have led to the proposal that patients with Alzheimer's disease (AD) may have disturbed functional connectivity between different brain regions.
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Since the discovery of small-world and scale-free networks the study of complex systems from a network perspective has taken an enormous flight.
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This article reviews the rapidly growing literature on the functional anatomy and behavioral correlates of the precuneus, with special reference to imaging neuroscience studies using hamodynamic techniques.
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Recent functional imaging studies have indicated that the pathophysiology of Alzheimer's disease (AD) can be associated with the changes in spontaneous low-frequency (<0.08 Hz) blood oxygenation level-dependent fluctuations (LFBF) measured during a resting state.
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Memory function is likely subserved by multiple distributed neural networks, which are disrupted by the pathophysiological process of Alzheimer's disease (AD).
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A selective distribution of Alzheimer's disease (AD) pathological lesions in specific cortical layers isolates the hippocampus from the rest of the brain.
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Activity and reactivity of the default mode network in the brain was studied using functional magnetic resonance imaging (fMRI) in 28 nondemented individuals with mild cognitive impairment (MCI), 18 patients with mild Alzheimer's disease (AD), and 41 healthy elderly controls (HC).
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Many complex and interesting phenomena in nature are due to nonlinear phenomena.
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Alzheimer's disease (AD) is the most common neurodegenerative disorder characterized by cognitive and intellectual deficits and behavior disturbance.
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The method of single-cell recording in awake behaving monkeys as they perform behavioral tasks is perhaps the most powerful approach to understanding the neural basis of behavior.
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The results support the concept of there being a defect in the fine structure of dendrites of pyramidal neurons, involving loss of spines, in schizophrenia and may help to explain the loss of cortical volume without loss of neurons in this condition, although the effect of neuroleptic drugs cannot be ruled out.
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EEG coherence can be used to evaluate the functionality of cortical connections and to get information about the synchronization of the regional cortical activity.
From across this tag
7 of the 187 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 7. The same 7 appear here every time.
- Chronology and Chronicity of Altered Resting-State Functional Connectivity after Traumatic Brain Injury
- Phases of Hyperconnectivity and Hypoconnectivity in the Default Mode and Salience Networks Track with Amyloid and Tau in Clinically Normal Individuals
- Energetic cost of brain functional connectivity
- Altered structural and functional connectivity in Posterior Cortical Atrophy and Dementia with Lewy bodies
- Systemic inflammation and resting state connectivity of the default mode network
- Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI
- The Role of Resting-State Network Functional Connectivity in Cognitive Aging