249 related articles for article (PubMed ID: 34109489)
1. Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer's disease: a preliminary study.
Chen H; Li W; Sheng X; Ye Q; Zhao H; Xu Y; Bai F;
Eur Radiol; 2022 Jan; 32(1):448-459. PubMed ID: 34109489
[TBL] [Abstract][Full Text] [Related]
2. The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline.
Chen H; Sheng X; Luo C; Qin R; Ye Q; Zhao H; Xu Y; Bai F;
Transl Neurodegener; 2020 May; 9(1):21. PubMed ID: 32460888
[TBL] [Abstract][Full Text] [Related]
3. Morphological, Structural, and Functional Networks Highlight the Role of the Cortical-Subcortical Circuit in Individuals With Subjective Cognitive Decline.
Xu X; Wang T; Li W; Li H; Xu B; Zhang M; Yue L; Wang P; Xiao S
Front Aging Neurosci; 2021; 13():688113. PubMed ID: 34305568
[TBL] [Abstract][Full Text] [Related]
4. Identification of Earlier Biomarkers for Alzheimer's Disease: A Multimodal Neuroimaging Study of Individuals with Subjective Cognitive Decline.
Parker AF; Smart CM; Scarapicchia V; Gawryluk JR;
J Alzheimers Dis; 2020; 77(3):1067-1076. PubMed ID: 32804127
[TBL] [Abstract][Full Text] [Related]
5. Early-Stage Identification and Pathological Development of Alzheimer's Disease Using Multimodal MRI.
Yan T; Wang Y; Weng Z; Du W; Liu T; Chen D; Li X; Wu J; Han Y
J Alzheimers Dis; 2019; 68(3):1013-1027. PubMed ID: 30958352
[TBL] [Abstract][Full Text] [Related]
6. Dynamic brain fluctuations outperform connectivity measures and mirror pathophysiological profiles across dementia subtypes: A multicenter study.
Moguilner S; García AM; Perl YS; Tagliazucchi E; Piguet O; Kumfor F; Reyes P; Matallana D; Sedeño L; Ibáñez A
Neuroimage; 2021 Jan; 225():117522. PubMed ID: 33144220
[TBL] [Abstract][Full Text] [Related]
7. Altered pattern analysis and identification of subjective cognitive decline based on morphological brain network.
Xu X; Chen P; Xiang Y; Xie Z; Yu Q; Zhou X; Wang P
Front Aging Neurosci; 2022; 14():965923. PubMed ID: 36034138
[TBL] [Abstract][Full Text] [Related]
8. Identification of subjective cognitive decline due to Alzheimer's disease using multimodal MRI combining with machine learning.
Lin H; Jiang J; Li Z; Sheng C; Du W; Li X; Han Y
Cereb Cortex; 2023 Jan; 33(3):557-566. PubMed ID: 35348655
[TBL] [Abstract][Full Text] [Related]
9. Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View.
Xu X; Li W; Tao M; Xie Z; Gao X; Yue L; Wang P
Front Neurosci; 2020; 14():577887. PubMed ID: 33132832
[TBL] [Abstract][Full Text] [Related]
10. Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome.
Xu X; Chen P; Li W; Xiang Y; Xie Z; Yu Q; Tang Y; Wang P
Cereb Cortex; 2024 Jan; 34(1):. PubMed ID: 38012122
[TBL] [Abstract][Full Text] [Related]
11. Functional, Anatomical, and Morphological Networks Highlight the Role of Basal Ganglia-Thalamus-Cortex Circuits in Schizophrenia.
Zhao W; Guo S; Linli Z; Yang AC; Lin CP; Tsai SJ
Schizophr Bull; 2020 Feb; 46(2):422-431. PubMed ID: 31206161
[TBL] [Abstract][Full Text] [Related]
12. Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes.
Wang Y; Xu C; Park JH; Lee S; Stern Y; Yoo S; Kim JH; Kim HS; Cha J;
Neuroimage Clin; 2019; 23():101859. PubMed ID: 31150957
[TBL] [Abstract][Full Text] [Related]
13. A metabolism-functional connectome sparse coupling method to reveal imaging markers for Alzheimer's disease based on simultaneous PET/MRI scans.
Wang L; Xu H; Wang M; Brendel M; Rominger A; Shi K; Han Y; Jiang J
Hum Brain Mapp; 2023 Dec; 44(17):6020-6030. PubMed ID: 37740923
[TBL] [Abstract][Full Text] [Related]
14. Is brain connectome research the future frontier for subjective cognitive decline? A systematic review.
Lazarou I; Nikolopoulos S; Dimitriadis SI; Yiannis Kompatsiaris I; Spilioti M; Tsolaki M
Clin Neurophysiol; 2019 Oct; 130(10):1762-1780. PubMed ID: 31401485
[TBL] [Abstract][Full Text] [Related]
15. Application of Structural and Functional Connectome Mismatch for Classification and Individualized Therapy in Alzheimer Disease.
Ren H; Zhu J; Su X; Chen S; Zeng S; Lan X; Zou LY; Sughrue ME; Guo Y
Front Public Health; 2020; 8():584430. PubMed ID: 33330326
[TBL] [Abstract][Full Text] [Related]
16. Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimer's disease.
Wang X; Huang W; Su L; Xing Y; Jessen F; Sun Y; Shu N; Han Y
Mol Neurodegener; 2020 Sep; 15(1):55. PubMed ID: 32962744
[TBL] [Abstract][Full Text] [Related]
17. High-sensitivity neuroimaging biomarkers for the identification of amnestic mild cognitive impairment based on resting-state fMRI and a triple network model.
Yu E; Liao Z; Tan Y; Qiu Y; Zhu J; Han Z; Wang J; Wang X; Wang H; Chen Y; Zhang Q; Li Y; Mao D; Ding Z
Brain Imaging Behav; 2019 Feb; 13(1):1-14. PubMed ID: 28466439
[TBL] [Abstract][Full Text] [Related]
18. A novel joint HCPMMP method for automatically classifying Alzheimer's and different stage MCI patients.
Sheng J; Wang B; Zhang Q; Liu Q; Ma Y; Liu W; Shao M; Chen B
Behav Brain Res; 2019 Jun; 365():210-221. PubMed ID: 30836158
[TBL] [Abstract][Full Text] [Related]
19. Exploring Network Properties Across Preclinical Stages of Alzheimer's Disease Using a Visual Short-Term Memory and Attention Task with High-Density Electroencephalography: A Brain-Connectome Neurophysiological Study.
Lazarou I; Georgiadis K; Nikolopoulos S; Oikonomou VP; Stavropoulos TG; Tsolaki A; Kompatsiaris I; Tsolaki M;
J Alzheimers Dis; 2022; 87(2):643-664. PubMed ID: 35367964
[TBL] [Abstract][Full Text] [Related]
20. Disrupted Dynamic Functional Connectivity in Distinguishing Subjective Cognitive Decline and Amnestic Mild Cognitive Impairment Based on the Triple-Network Model.
Xue C; Qi W; Yuan Q; Hu G; Ge H; Rao J; Xiao C; Chen J
Front Aging Neurosci; 2021; 13():711009. PubMed ID: 34603006
[No Abstract] [Full Text] [Related]
[Next] [New Search]