Bazinet V, Vos de Wael R, Hagmann P, Bernhardt BC, Misic B (2021) Multiscale communication in cortico-cortical networks. Neuroimage 243:118546. https://doi.org/10.1016/j.neuroimage.2021.118546
Calhoun VD, Sui J (2016) Multimodal fusion of brain imaging data: a key to finding the missing link(s) in complex mental illness. Biol Psychiatry Cogn Neurosci Neuroimaging 1(3):230–244. https://doi.org/10.1016/j.bpsc.2015.12.005
Article PubMed PubMed Central Google Scholar
Chen X, Lu B, Yan CG (2018) Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes. Hum Brain Mapp 39(1):300–318. https://doi.org/10.1002/hbm.23843
Cong S, Xiang C, Zhang S, Zhang T, Wang H, Cong S (2022) Prevalence and clinical aspects of depression in Parkinson’s disease: a systematic review and meta-analysis of 129 studies. Neurosci Biobehav Rev 141:104749. https://doi.org/10.1016/j.neubiorev.2022.104749
De Micco R, Agosta F, Basaia S, Siciliano M, Cividini C, Tedeschi G et al (2021) Functional connectomics and disease progression in drug-naïve Parkinson’s disease patients. Mov Disord 36(7):1603–1616. https://doi.org/10.1002/mds.28541
Desseilles M, Schwartz S, Dang-Vu TT, Sterpenich V, Ansseau M, Maquet P et al (2011) Depression alters “top-down” visual attention: a dynamic causal modeling comparison between depressed and healthy subjects. Neuroimage 54(2):1662–1668. https://doi.org/10.1016/j.neuroimage.2010.08.061
Filippi M, Canu E, Donzuso G, Stojkovic T, Basaia S, Stankovic I et al (2020) Tracking cortical changes throughout cognitive decline in Parkinson’s disease. Mov Disord 35(11):1987–1998. https://doi.org/10.1002/mds.28228
Goodarzi Z, Mrklas KJ, Roberts DJ, Jette N, Pringsheim T, Holroyd-Leduc J (2016) Detecting depression in Parkinson disease: a systematic review and meta-analysis. Neurology 87(4):426–437. https://doi.org/10.1212/wnl.0000000000002898
Article PubMed PubMed Central Google Scholar
Heinzel S, Berg D, Gasser T, Chen H, Yao C, Postuma RB (2019) Update of the MDS research criteria for prodromal Parkinson’s disease. Mov Disord 34(10):1464–1470. https://doi.org/10.1002/mds.27802
Itani S, Thanou D (2021) Combining anatomical and functional networks for neuropathology identification: a case study on autism spectrum disorder. Med Image Anal 69:101986. https://doi.org/10.1016/j.media.2021.101986
Jiang L, Zuo XN (2016) Regional homogeneity: a multimodal, multiscale neuroimaging marker of the human connectome. Neuroscientist 22(5):486–505. https://doi.org/10.1177/1073858415595004
Jiang Y, Duan M, Li X, Huang H, Zhao G, Li X et al (2021) Function-structure coupling: white matter functional magnetic resonance imaging hyper-activation associates with structural integrity reductions in schizophrenia. Hum Brain Mapp 42(12):4022–4034. https://doi.org/10.1002/hbm.25536
Article PubMed PubMed Central Google Scholar
Kessler RC, Bromet EJ (2013) The epidemiology of depression across cultures. Annu Rev Public Health 34:119–138. https://doi.org/10.1146/annurev-publhealth-031912-114409
Article PubMed PubMed Central Google Scholar
Li H, Jia J, Yang Z (2016) Mini-mental state examination in elderly chinese: a population-based normative study. J Alzheimers Dis 53(2):487–496. https://doi.org/10.3233/jad-160119
Li J, Gong H, Xu H, Ding Q, He N, Huang Y et al (2019) Abnormal voxel-wise degree centrality in patients with late-life depression: a resting-state functional magnetic resonance imaging study. Front Psychiatry 10:1024. https://doi.org/10.3389/fpsyt.2019.01024
Article CAS PubMed Google Scholar
Liao H, Cai S, Shen Q, Fan J, Wang T, Zi Y et al (2020a) Networks are associated with depression in patients with Parkinson’s disease: a resting-state imaging study. Front Neurosci 14:573538. https://doi.org/10.3389/fnins.2020.573538
Liao H, Fan J, Shen Q, Cai S, Wang M, Wang C et al (2020b) Alterations of interhemispheric functional connectivity in Parkinson’s disease with depression: a resting-state functional MRI study. Front Hum Neurosci 14:193. https://doi.org/10.3389/fnhum.2020.00193
Article CAS PubMed PubMed Central Google Scholar
Lv L, Zhang H, Tan X, Qin L, Peng X, Bai R et al (2021) Assessing the effects of vitamin d on neural network function in patients with Parkinson’s disease by measuring the fraction amplitude of low-frequency fluctuation. Front Aging Neurosci 13:763947. https://doi.org/10.3389/fnagi.2021.763947
Article CAS PubMed PubMed Central Google Scholar
Oh BH, Moon HC, Kim A, Kim HJ, Cheong CJ, Park YS (2021) Prefrontal and hippocampal atrophy using 7-tesla magnetic resonance imaging in patients with Parkinson’s disease. Acta Radiol Open 10(2):2058460120988097. https://doi.org/10.1177/2058460120988097
Article PubMed PubMed Central Google Scholar
Park TY, Jeon J, Lee N, Kim J, Song B, Kim JH et al (2023) Co-transplantation of autologous T(reg) cells in a cell therapy for Parkinson’s disease. Nature 619(7970):606–615. https://doi.org/10.1038/s41586-023-06300-4
Article ADS CAS PubMed Google Scholar
Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W et al (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30(12):1591–1601. https://doi.org/10.1002/mds.26424
Qin K, Lei D, Pinaya WHL, Pan N, Li W, Zhu Z et al (2022) Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites. EBioMedicine 78:103977. https://doi.org/10.1016/j.ebiom.2022.103977
Article PubMed PubMed Central Google Scholar
Qiu YH, Huang ZH, Gao YY, Feng SJ, Huang B, Wang WY et al (2021) Alterations in intrinsic functional networks in Parkinson’s disease patients with depression: a resting-state functional magnetic resonance imaging study. CNS Neurosci Ther 27(3):289–298. https://doi.org/10.1111/cns.13467
Reijnders JS, Ehrt U, Weber WE, Aarsland D, Leentjens AF (2008) A systematic review of prevalence studies of depression in Parkinson’s disease. Mov Disord 23(2):183–189; quiz 313. https://doi.org/10.1002/mds.21803
Tahmasian M, Eickhoff SB, Giehl K, Schwartz F, Herz DM, Drzezga A et al (2017) Resting-state functional reorganization in Parkinson’s disease: an activation likelihood estimation meta-analysis. Cortex 92:119–138. https://doi.org/10.1016/j.cortex.2017.03.016
Article PubMed PubMed Central Google Scholar
Wang H, Xu J, Yu M, Zhou G, Ren J, Wang Y et al (2023a) Functional and structural alterations as diagnostic imaging markers for depression in de novo Parkinson’s disease. Front Neurosci 17:1101623. https://doi.org/10.3389/fnins.2023.1101623
Article PubMed PubMed Central Google Scholar
Wang X, Wei W, Bai Y, Shen Y, Zhang G, Ma H et al (2023b) Intrinsic brain activity alterations in patients with Parkinson’s disease. Neurosci Lett 809:137298. https://doi.org/10.1016/j.neulet.2023.137298
Article CAS PubMed Google Scholar
Yan CG, Wang XD, Lu B (2021) DPABISurf: data processing & analysis for brain imaging on surface. Sci Bull 66(24):2453–2455. https://doi.org/10.1016/j.scib.2021.09.016
Yang L, Jin C, Qi S, Teng Y, Li C, Yao Y et al (2023) Aberrant degree centrality of functional brain networks in subclinical depression and major depressive disorder. Front Psychiatry 14:1084443. https://doi.org/10.3389/fpsyt.2023.1084443
Article PubMed PubMed Central Google Scholar
Yu C, Sellers KK, Radtke-Schuller S, Lu J, Xing L, Ghukasyan V et al (2016) Structural and functional connectivity between the lateral posterior-pulvinar complex and primary visual cortex in the ferret. Eur J Neurosci 43(2):230–244. https://doi.org/10.1111/ejn.13116
Article PubMed PubMed Central Google Scholar
Zhang B, Wang F, Dong HM, Jiang XW, Wei SN, Chang M et al (2019) Surface-based regional homogeneity in bipolar disorder: A resting-state fMRI study. Psychiatry Res 278:199–204. https://doi.org/10.1016/j.psychres.2019.05.045
Zhang L, Cui X, Ou Y, Liu F, Li H, Xie G et al (2023) Abnormal long- and short-range functional connectivity in patients with first-episode drug-naïve melancholic and non-melancholic major depressive disorder. J Affect Disord 320:360–369. https://doi.org/10.1016/j.jad.2022.09.161
Article CAS PubMed Google Scholar
Zhao R, Wang P, Liu L, Zhang F, Hu P, Wen J et al (2023) Whole-brain structure-function coupling abnormalities in mild cognitive impairment: a study combining amplitude of low-frequency fluctuations and voxel-based morphometry. Front Neurosci 17:1236221. https://doi.org/10.3389/fnins.2023.1236221
Article PubMed PubMed Central Google Scholar
Zuo XN, Xing XX (2014) Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective. Neurosci Biobehav Rev 45:100–118. https://doi.org/10.1016/j.neubiorev.2014.05.009
留言 (0)