ArticleFrontiers in neuroscience2019
Correlation Between Hippocampus MRI Radiomic Features and Resting-State Intrahippocampal Functional Connectivity in Alzheimer's Disease.
Article in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- A radiomics model predicts progression from mild cognitive impairment to alzheimer's disease using structural MRI.Scientific reports · 2025Article
- Preliminary study on early diagnosis of Alzheimer's disease in APP/PS1 transgenic mice using multimodal magnetic resonance imaging.Frontiers in aging neuroscience · 2024Article
- Exploring the thalamus: a crucial hub for brain function and communication in patients with bulimia nervosa.Journal of eating disorders · 2023Article
- Drooling disrupts the brain functional connectivity network in Parkinson's disease.CNS neuroscience & therapeutics · 2023Article
- Amygdala's T1-weighted image radiomics outperforms volume for differentiation of anxiety disorder and its subtype.Frontiers in psychiatry · 2023Article
- Altered brain networks and connections in chronic heart failure patients complicated with cognitive impairment.Frontiers in aging neuroscience · 2023Article
- Using histogram analysis of the intrinsic brain activity mapping to identify essential tremor.Frontiers in neurology · 2023Article
- Identifying Alzheimer's disease and mild cognitive impairment with atlas-based multi-modal metrics.Frontiers in aging neuroscience · 2023Article
- Classification of Parkinson's disease using a region-of-interest- and resting-state functional magnetic resonance imaging-based radiomics approach.Brain imaging and behavior · 2022Article
- A Multi-Modal and Multi-Atlas Integrated Framework for Identification of Mild Cognitive Impairment.Brain sciences · 2022Article
- Combining PET with MRI to improve predictions of progression from mild cognitive impairment to Alzheimer's disease: an exploratory radiomic analysis study.Annals of translational medicine · 2022Article
- Wavelet-Based Fractal Analysis of rs-fMRI for Classification of Alzheimer's Disease.Sensors (Basel, Switzerland) · 2022Article
- Altered Spontaneous Brain Activity Patterns of Meibomian Gland Dysfunction in Severely Obese Population Measured Using the Fractional Amplitude of Low-Frequency Fluctuations.Frontiers in psychiatry · 2022Article
- Aberrant functional connectivity and activity in Parkinson's disease and comorbidity with depression based on radiomic analysis.Brain and behavior · 2021Article
- Predicting amyloid positivity in patients with mild cognitive impairment using a radiomics approach.Scientific reports · 2021Article
- Disrupted balance of long and short-range functional connectivity density in Alzheimer's disease (AD) and mild cognitive impairment (MCI) patients: a resting-state fMRI study.Annals of translational medicine · 2021Article
- Prediction of the progression from mild cognitive impairment to Alzheimer's disease using a radiomics-integrated model.Therapeutic advances in neurological disorders · 2021Article
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Abstract
Alzheimer's disease (AD) is a neurodegenerative disease with main symptoms of chronic primary memory loss and cognitive impairment. The study aim was to investigate the correlation between intrahippocampal functional connectivity (FC) and MRI radiomic features in AD. A total of 67 AD patients and 44 normal controls (NCs) were enrolled in this study. Using the seed-based method of resting-state functional MRI (rs-fMRI), the whole-brain FC with bilateral hippocampus as seed was performed, and the FC values were extracted from the bilateral hippocampus. We observed that AD patients demonstrated disruptive FC in some brain regions in the left hippocampal functional network, including right gyrus rectus, right anterior cingulate and paracingulate gyri, bilateral precuneus, bilateral angular gyrus, and bilateral middle occipital gyrus. In addition, decreased FC was detected in some brain regions in the right hippocampal functional network, including bilateral anterior cingulate and paracingulate gyri, right dorsolateral superior frontal gyrus, and right precentral gyrus. Bilateral hippocampal radiomics features were calculated and selected using the A.K. software. Finally, Pearson's correlation analyses were conducted between these selected features and the bilateral hippocampal FC values. The results suggested that two gray level run-length matrix (RLM) radiomic features and one gray level co-occurrence matrix (GLCM) radiomic feature weakly associated with FC values in the left hippocampus. However, there were no significant correlations between radiomic features and FC values in the right hippocampus. These findings present that the AD group showed abnormalities in the bilateral hippocampal functional network. This is a prospective study that revealed the weak correlation between the MRI radiomic features and the intrahippocampal FC in AD patients.
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