ReviewNeuropsychology review2014
Functional brain connectivity using fMRI in aging and Alzheimer's disease.
Review in Neuropsychology review, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 301 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
301 citing papers in PubMed, 3 syntheses or guidelines pooled it, 577 citations in OpenAlex.
- Comparative efficacy of rTMS on different targets in Alzheimer's disease: a systematic review and meta-analysis.Frontiers in aging neuroscience · 2025Pooled it
- Neuroimaging studies of acupuncture on Alzheimer's disease: a systematic review.BMC complementary medicine and therapies · 2023Pooled it
- Assessment of Alzheimer's disease-related biomarkers in patients with obstructive sleep apnea: A systematic review and meta-analysis.Frontiers in aging neuroscience · 2022Pooled it
- Altered Effective Connectivity Within the Frontoparietal Network in Alzheimer's Disease and Its Modulation by Acupuncture: A Resting-StateNeuropsychiatric disease and treatment · 2026Trial
- Repetitive Transcranial Magnetic Stimulation Alters Brain Communication Networks to Improve the Cognitive Function in Patients with Amnestic Mild Cognitive Impairment - A Clinical Trial.Current neuropharmacology · 2026Trial
- Functional brain abnormalities in post COVID-19 condition and their relationship with cognition.Scientific reports · 2025Trial
- Trial
- Functional Magnetic Resonance Imaging of Brain Function and Emergence Agitation of Patients with Dexmedetomidine-Assisted General Anesthesia under Comfortable Nursing Intervention.Computational intelligence and neuroscience · 2022Trial
- Article
- Resting state brain activity and association with transfer of cognitive training gains.Neuroimage. Reports · 2026Article
- Brain resting state functional connectivity changes with aerobic exercise, and mindfulness: A narrative review.Sports medicine and health science · 2026Review
- Genetically linked brain imaging markers of memory decline in aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Resting-state fMRI foundation models enable robust and generalizable latent neural target discovery in cognitive aging interventions.bioRxiv : the preprint server for biology · 2026Article
- Derivation of machine learning brain aging biomarkers for a set of forty thousand functional connectomes.Brain research bulletin · 2026Article
- Longitudinal changes in subcortical functional connectivity during Alzheimer's disease progression.The journal of prevention of Alzheimer's disease · 2026Article
- Quantifying the compressibility of the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Neural compensation in persons with HIV and marijuana use: Insights from a reorganized DMN.Network neuroscience (Cambridge, Mass.) · 2026Article
- The night shift brain: functional network reorganization in sleep-deprived medical staff.Frontiers in human neuroscience · 2026Article
- EEG-motor correlation as early Alzheimer's disease index in herpes simplex virus type-1-infected mice.Brain communications · 2026Article
- Blind Identification of Altered Functional Subnetworks in Alzheimer's Disease Using Resting-State fMRI.Biomedical engineering and computational biology · 2026Article
241 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Normal aging and Alzheimer's disease (AD) cause profound changes in the brain's structure and function. AD in particular is accompanied by widespread cortical neuronal loss, and loss of connections between brain systems. This degeneration of neural pathways disrupts the functional coherence of brain activation. Recent innovations in brain imaging have detected characteristic disruptions in functional networks. Here we review studies examining changes in functional connectivity, measured through fMRI (functional magnetic resonance imaging), starting with healthy aging and then Alzheimer's disease. We cover studies that employ the three primary methods to analyze functional connectivity--seed-based, ICA (independent components analysis), and graph theory. At the end we include a brief discussion of other methodologies, such as EEG (electroencephalography), MEG (magnetoencephalography), and PET (positron emission tomography). We also describe multi-modal studies that combine rsfMRI (resting state fMRI) with PET imaging, as well as studies examining the effects of medications. Overall, connectivity and network integrity appear to decrease in healthy aging, but this decrease is accelerated in AD, with specific systems hit hardest, such as the default mode network (DMN). Functional connectivity is a relatively new topic of research, but it holds great promise in revealing how brain network dynamics change across the lifespan and in disease.
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Registered trials
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.