ArticleJournal of Alzheimer's disease : JAD2021
Language Network Connectivity Increases in Early Alzheimer's Disease.
Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 44 citations in OpenAlex.
- Inhibition of p38α MAPK increases short-term astrocyte reactivity: the exploratory VIP trial in early Alzheimer's disease.Journal of neuroinflammation · 2025Trial
- Altered dynamic functional connectivity of the language network associated with electronegative L5 in patients with mild cognitive impairment.GeroScience · 2026Article
- Exploring neural correlates of automated speech-based cognitive markers through resting-state functional connectivity in aging and at-risk Alzheimer's disease.Alzheimer's research & therapy · 2026Article
- A Machine Learning Framework for Cognitive Impairment Screening from Speech with Multimodal Large Models.Bioengineering (Basel, Switzerland) · 2026Article
- Amyloid-Frontiers in aging neuroscience · 2026Article
- Female 3xTg-AD mice demonstrate hyperexcitability phenotype of Alzheimer's disease in structure-function and function-behavior relationships.Network neuroscience (Cambridge, Mass.) · 2025Article
- The China Alzheimer Report 2025.General psychiatry · 2025Review
- Detecting language network alterations in mild cognitive impairment using task-based fMRI and resting-state fMRI: A comparative study.Brain and behavior · 2024Article
- 25-year neuroimaging research on spoken language processing: a bibliometric analysis.Frontiers in human neuroscience · 2024Article
- Iron deposition is associated with motor and non-motor network breakdown in parkinsonism.Frontiers in aging neuroscience · 2024Article
- Comparing global and local semantic coherence of spontaneous speech in persons with Alzheimer's disease and healthy controls.Applied Corpus Linguistics · 2023Article
- Abnormal intrinsic brain functional network dynamics in patients with cervical spondylotic myelopathy.Cognitive neurodynamics · 2023Article
- Differences in electroencephalography oscillations between normal aging and mild cognitive impairment during semantic memory retrieval.The European journal of neuroscience · 2023Article
- Association of functional connectivity of the executive control network or default mode network with cognitive impairment in older adults with remitted major depressive disorder or mild cognitive impairment.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Associating brain imaging phenotypes and genetic risk factorsFrontiers in aging neuroscience · 2023Article
- Theta oscillations shift towards optimal frequency for cognitive control.Nature human behaviour · 2022Article
- The functional connectivity of language network across the life span: Disentangling the effects of typical aging from Alzheimer's disease.Frontiers in aging neuroscience · 2022Article
- Use of machine learning to identify functional connectivity changes in a clinical cohort of patients at risk for dementia.Frontiers in aging neuroscience · 2022Article
- Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLanguage production deficits occur early in the course of Alzheimer's disease (AD); however, only a few studies have focused on language network's functional connectivity in mild cognitive impairment (MCI) due to AD.
objectiveThe current study aims to uncover the extent of language alteration at the MCI stage, at a behavioral and neural level, using univariate and multivariate analyses of structural MRI and resting-state fMRI.
methodsTwenty-four MCI due to AD participants and 24 matched healthy controls underwent a comprehensive language evaluation, a structural T1-3D MRI, and resting-state fMRI. We performed seed-based analyses, using the left inferior frontal gyrus and left posterior temporal gyrus as seeds. Then, we analyzed connectivity between executive control networks and language network in each group. Finally, we used multivariate pattern analyses to test whether the two groups could be distinguished based on the pattern of atrophy within the language network; within the executive control networks, as well as the pattern of functional connectivity within the language network and within the executive control networks.
resultsMCI due to AD participants had language impairment during standardized language tasks and connected-speech production. Regarding functional connectivity, univariate analyses were not able to discriminate participants, while multivariate pattern analyses could significantly predict participants' group. Language network's functional connectivity could discriminate MCI due to AD participants better than executive control networks. Most notably, they revealed an increased connectivity at the MCI stage, positively correlated with language performance.
conclusionMultivariate analyses represent a useful tool for investigating the functional and structural (re-)organization of the neural bases of language.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.