ReviewFrontiers in psychology2015
Mild cognitive impairment and fMRI studies of brain functional connectivity: the state of the art.
Review in Frontiers in psychology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.
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Who cites it
29 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Identification of functional near-infrared spectroscopy for older adults with mild cognitive impairment: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Alterations in brain functional connectivity in patients with mild cognitive impairment: A systematic review and meta-analysis of functional near-infrared spectroscopy studies.Brain and behavior · 2024Pooled it
- Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature.BMC medicine · 2021Pooled it
- Pooled it
- Trial
- Disrupted brain functional connectivity as early signature in cognitively healthy individuals with pathological CSF amyloid/tau.Communications biology · 2024Article
- Neurovascular coupling, functional connectivity, and cerebrovascular endothelial extracellular vesicles as biomarkers of mild cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Brain network changes and cognitive function after cardiac arrest.Brain communications · 2024Article
- Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis.Frontiers in neuroscience · 2023Article
- Brain Connectivity Based Graph Convolutional Networks and Its Application to Infant Age Prediction.IEEE transactions on medical imaging · 2022Article
- Functional Brain Connectivity in Mild Cognitive Impairment With Sleep Disorders: A Study Based on Resting-State Functional Magnetic Resonance Imaging.Frontiers in aging neuroscience · 2022Article
- Associations between disrupted functional brain network topology and cognitive impairment in patients with rectal cancer during chemotherapy.Frontiers in oncology · 2022Article
- Article
- Age-Related Structural and Functional Changes of the Hippocampus and the Relationship with Inhibitory Control.Brain sciences · 2020Article
- Supervised machine learning for diagnostic classification from large-scale neuroimaging datasets.Brain imaging and behavior · 2020Article
- Article
- Prefrontal functional connectivity analysis of cognitive decline for early diagnosis of mild cognitive impairment: a functional near-infrared spectroscopy study.Biomedical optics express · 2020Article
- Deep Learning of Static and Dynamic Brain Functional Networks for Early MCI Detection.IEEE transactions on medical imaging · 2020Article
- Differential Regional Brain Spontaneous Activity in Subgroups of Mild Cognitive Impairment.Frontiers in human neuroscience · 2020Article
- Functional interactions in patients with hemianopia: A graph theory-based connectivity study of resting fMRI signal.PloS one · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last 15 years, many articles have studied brain connectivity in Mild Cognitive Impairment patients with fMRI techniques, seemingly using different connectivity statistical models in each investigation to identify complex connectivity structures so as to recognize typical behavior in this type of patient. This diversity in statistical approaches may cause problems in results comparison. This paper seeks to describe how researchers approached the study of brain connectivity in MCI patients using fMRI techniques from 2002 to 2014. The focus is on the statistical analysis proposed by each research group in reference to the limitations and possibilities of those techniques to identify some recommendations to improve the study of functional connectivity. The included articles came from a search of Web of Science and PsycINFO using the following keywords: f MRI, MCI, and functional connectivity. Eighty-one papers were found, but two of them were discarded because of the lack of statistical analysis. Accordingly, 79 articles were included in this review. We summarized some parts of the articles, including the goal of every investigation, the cognitive paradigm and methods used, brain regions involved, use of ROI analysis and statistical analysis, emphasizing on the connectivity estimation model used in each investigation. The present analysis allowed us to confirm the remarkable variability of the statistical analysis methods found. Additionally, the study of brain connectivity in this type of population is not providing, at the moment, any significant information or results related to clinical aspects relevant for prediction and treatment. We propose to follow guidelines for publishing fMRI data that would be a good solution to the problem of study replication. The latter aspect could be important for future publications because a higher homogeneity would benefit the comparison between publications and the generalization of results.
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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.