Cited by 255Functional Brain Connectivity StudiesDementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

The DOI matches its Crossref record; 88 of the 89 references it cites were found in a registry or an index.

Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity

Zhang, Zengqiang, Liu, Yong, Jiang, Tianzi, Zhou, Bo, An, Ningyu, Dai, Haitao, Wang, Pan, Niu, Yixuan, Wang, Luning, Zhang, Xi·2012·NeuroImage

DOI 10.1016/j.neuroimage.2011.08.049

Open this paper in CoChat — free account

Abstract

Alzheimer's disease (AD), the most prevalent cause of dementia in the elderly, is characterized by progressive cognitive and intellectual deficits. Most patients with mild cognitive impairment (MCI) are thought to be in a very early stage of AD. Resting-state functional magnetic resonance imaging reflects spontaneous brain activities and/or the endogenous/background neurophysiological process of the human brain. Regional Homogeneity (ReHo) can provide a fast method for mapping regional activity across the whole brain. Little has been previously published about where or how spontaneous activity differs between MCI and AD, although many previous fMRI studies have shown that the activity pattern is altered in MCI/AD. In the present study, we first used the ReHo method to explore differences in regional spontaneous activities throughout the whole brain between normal controls (NC) and people with MCI and with AD. A one-way ANOVA was performed to determine the regions in which the ReHo differs between the three groups, and then a post hoc analysis was performed to evaluate differences in the pattern among the three groups. Finally a correlation analysis was done between the ReHo index of these regions and clinical variables in order to evaluate the relationship between ReHo and cognitive measures in the AD and MCI groups. An exploratory classification analysis also demonstrated that ReHo measures were able to correctly separate subjects in 71.4% of the cases. Altered brain spontaneous activations were found in the medial prefrontal cortex, the bilateral posterior cingulate gyrus/precuneus and the left inferior parietal lobule (IPL) in both MCI and AD. In MCI, the ReHo index in the left IPL was higher than that of the NC, which could indicate the presence of a compensatory mechanism in MCI. More obviously, the correlation analysis indicated that the lower the memory and other cognitive abilities, the lower the ReHo in patients with MCI and AD. Combining our findings with the results in earlier studies, we propose that the spontaneous activity pattern in the resting state could potentially be used as a clinical marker for MCI/AD.

Integrity signals

Registry

Crossref · 10.1016/j.neuroimage.2011.08.049

Cites

88 of 88 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · cited 2×
“…and profoundly involved area of amyloid deposits and neurofibrillary tangles, so a considerable amount of work on examining the anatomic basis for memory impairment in AD has focused on the hippocampus and other MTL structures (Arnold et al., 1991; Braak and Braak, 1991; Wolk and Dickerson, 2011).”
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The Brain's Default Network: Anatomy, Function, and Relevance to Disease
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781

Flagged first, then by citations

Show all 89 references

1 of the 89 references couldn’t be matched to a known paper.

Sorted by citations

Patterns of brain activity supporting autobiographical memory, prospection, and theory of mind, and their relationship to the default mode network
Spreng, R. N., & Grady, C. L. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21282 · Cited by 985
Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space
Zuo, X., Xu, T., Jiang, L., Yang, Z., Cao, X., Yong He, A., Zang, Y., Castellanos, F. X., & Milham, M. P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.017 · Cited by 510
Regional Homogeneity
Jiang, L., & Zuo, X. (2015) · The Neuroscientist · doi:10.1177/1073858415595004 · Cited by 338
State and training effects of mindfulness meditation on brain networks reflect neuronal mechanisms of its antidepressant effect
Yang, C.-C., Barrós-Loscertales, A., Pinazo, D., Ventura-Campos, N., Borchardt, V., Bustamante, J.-C., Rodríguez-Pujadas, A., Fuentes-Claramonte, P., Balaguer, R., Ávila, C., et al. (2016) · Neural Plasticity · doi:10.1155/2016/9504642 · Cited by 284
“While decreases have been for MPFC and ACC in depression [74], but also social anxiety [75] or Alzheimer disease [76], a recent study in bipolar depression rather indicated an increase inMPFCReHo [74].”
Background
Impaired Long Distance Functional Connectivity and Weighted Network Architecture in Alzheimer's Disease
Liu, Y., Yu, C., Zhang, X., Liu, J., Duan, Y., Alexander‐Bloch, A. F., Liu, B., Jiang, T., & Bullmore, E. T. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhs410 · Cited by 265
Self-citation
Potential Benefits of Physical Activity in MCI and Dementia
Nuzum, H., Stickel, A. M., Corona, M., Zeller, M., Melrose, R. J., & Wilkins, S. S. (2020) · Behavioural Neurology · doi:10.1155/2020/7807856 · Cited by 300
Identifying patients with Alzheimer’s disease using resting-state fMRI and graph theory
Khazaee, A., Ebrahimzadeh, A., & Babajani-Feremi, A. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.02.060 · Cited by 234
Resting-state connectivity in neurodegenerative disorders: Is there potential for an imaging biomarker?
Hohenfeld, C., Werner, C. J., & Reetz, K. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2018.03.013 · Cited by 232
Disrupted Small-World Brain Networks in Moderate Alzheimer's Disease: A Resting-State fMRI Study
Zhao, X., Liu, Y., Wang, X., Liu, B., Xi, Q., Guo, Q., Jiang, H., Jiang, T., & Wang, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033540 · Cited by 215
Self-citation
Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer’s disease
Khazaee, A., Ebrahimzadeh, A., & Abbas Babajani-feremi, A. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9448-7 · Cited by 215
Neural correlates of psychological resilience and their relation to life satisfaction in a sample of healthy young adults
Kong, F., Wang, X., Hu, S., & Liu, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.020 · Cited by 176
Classification of patients with MCI and AD from healthy controls using directed graph measures of resting-state fMRI
Khazaee, A., Ebrahimzadeh, A., & Abbas Babajani-feremi, A. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.06.043 · Cited by 164
Resting State Abnormalities of the Default Mode Network in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis
Eyler, L. T., Elman, J. A., Hatton, S. N., Gough, S., Mischel, A. K., Hagler, D. J., Franz, C. E., Docherty, A. R., Fennema‐Notestine, C., Gillespie, N. A., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180847 · Cited by 152
Aberrant intra- and inter-network connectivity architectures in Alzheimer’s disease and mild cognitive impairment
Wang, P., Zhou, B., Yao, H., Zhan, Y., Zhang, Z., Cui, Y. J., Xu, K., Ma, J., Wang, L., An, N., et al. (2015) · Scientific Reports · doi:10.1038/srep14824 · Cited by 148
Self-citation
Topographical Information-Based High-Order Functional Connectivity and Its Application in Abnormality Detection for Mild Cognitive Impairment
Zhang, H., Chen, X., Shi, F., Li, G., Kim, M., Giannakopoulos, P., Haller, S., & Shen, D. G. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160092 · Cited by 142
Identify changes of brain regional homogeneity in bipolar disorder and unipolar depression using resting-state FMRI
Liang, M.-J., Zhou, Q., Yang, K.-R., Yang, X.-L., Fang, J., Chen, W.-L., & Huang, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079999 · Cited by 135
Age-related shifts in gut microbiota contribute to cognitive decline in aged rats
Li, Y., Ning, L., Yin, Y., Wang, R., Zhang, Z., Hao, L., Wang, B., Zhao, X., Yang, X., Yin, L., et al. (2020) · Aging · doi:10.18632/aging.103093 · Cited by 125
Self-citation
Impaired Functional Connectivity of the Thalamus in Alzheimer’ s Disease and Mild Cognitive Impairment: A Resting-State fMRI Study
Zhou, B., Liu, Y., Zhang, Z., An, N., Yao, H., Wang, P., Wang, L., Zhang, X., & Jiang, T. (2013) · Current Alzheimer Research · doi:10.2174/15672050113109990146 · Cited by 124
Self-citation
Radiomic Features of Hippocampal Subregions in Alzheimer’s Disease and Amnestic Mild Cognitive Impairment
Feng, F., Wang, P., Zhao, K., Zhou, B., Yao, H., Meng, Q., Wang, L., Zhang, Z., Ding, Y., Wang, L., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00290 · Cited by 122
Self-citation
Altered intrinsic regional brain spontaneous activity and subjective sleep quality in patients with chronic primary insomnia: a resting-state fMRI study
Dai, X., Peng, D., Gong, H., Wan, A.-L., Nie, X., Li, H., & Wáng, Y. X. J. (2014) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s69681 · Cited by 114
Alterations in regional homogeneity of resting-state brain activity in internet gaming addicts
Dong, G., Huang, J., & Du, X. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-41 · Cited by 115
Tau deposition is associated with functional isolation of the hippocampus in aging
Harrison, T. M., Maaß, A., Adams, J. N., Du, R., Baker, S. L., & Jagust, W. J. (2019) · Nature Communications · doi:10.1038/s41467-019-12921-z · Cited by 113
Examining non-linear associations between built environments around workplace and adults’ walking behaviour in Shanghai, China
Yang, H., Zhang, Q., Helbich, M., Lü, Y., He, D., Ettema, D., & Chen, L. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2021.11.017 · Cited by 106
Generalizable, Reproducible, and Neuroscientifically Interpretable Imaging Biomarkers for Alzheimer's Disease
Jin, D., Zhou, B., Han, Y., Ren, J., Han, T., Liu, B., Lu, J., Song, C., Wang, P., Wang, D., et al. (2020) · Advanced Science · doi:10.1002/advs.202000675 · Cited by 92
Self-citation
Link between hippocampus' raised local and eased global intrinsic connectivity in AD
Pasquini, L., Scherr, M., Tahmasian, M., Meng, C., Myers, N. E., Ortner, M., Mühlau, M., Kurz, A., Förstl, H., Zimmer, C., et al. (2014) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2014.02.007 · Cited by 95
Decreased functional connectivity of the amygdala in Alzheimer's disease revealed by resting-state fMRI
Yao, H., Liu, Y., Zhou, B., Zhang, Z., An, N., Wang, P., Wang, L., Zhang, X., & Jiang, T. (2013) · European Journal of Radiology · doi:10.1016/j.ejrad.2013.03.019 · Cited by 93
Self-citation
Abnormal Regional Homogeneity in Patients with Essential Tremor Revealed by Resting-State Functional MRI
Fang, W., Lv, F., Luo, T., Cheng, O., Liao, W., Sheng, K., Wang, X., Wu, F., Hu, Y., Luo, J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069199 · Cited by 90
Effects of Long-Term Acupuncture Treatment on Resting-State Brain Activity in Migraine Patients: A Randomized Controlled Trial on Active Acupoints and Inactive Acupoints
Zhao, L., Liu, J., Zhang, F., Dong, X., Peng, Y., Qin, W., Wu, F., Li, Y., Yuan, K., von Deneen, K. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099538 · Cited by 96
Structural and functional imaging study in dementia with Lewy bodies and Parkinson's disease dementia
Borroni, B., Premi, E., Formenti, A., Turrone, R., Alberici, A., Cottini, E., Rizzetti, M. C., Gasparotti, R., & Padovani, A. (2015) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2015.06.013 · Cited by 90
The Default Mode Network Supports Episodic Memory in Cognitively Unimpaired Elderly Individuals: Different Contributions to Immediate Recall and Delayed Recall
Huo, L., Li, R., Wang, P., Zheng, Z., & Li, J. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00006 · Cited by 83
Self-citation
Cerebral Functional Manipulation of Repetitive Transcranial Magnetic Stimulation in Cognitive Impairment Patients After Stroke: An fMRI Study
Li, Y., Hong, L., Yu, Q., Yin, L.-L., Li, K., Li, Y., & Fu, J. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.00977 · Cited by 83
Investigation of brain functional connectivity in patients with mild cognitive impairment: A functional near‐infrared spectroscopy (fNIRS) study
Nguyen, T. A., Kim, M., Gwak, J., Lee, J. J., Choi, K. Y., Lee, K. H., & Kim, J. G. (2019) · Journal of Biophotonics · doi:10.1002/jbio.201800298 · Cited by 78
Longitudinal Study of Impaired Intra- and Inter-Network Brain Connectivity in Subjects at High Risk for Alzheimer’s Disease
Zhan, Y., Initiative, A. D. N., Ma, J., Alexander‐Bloch, A. F., Xu, K., Cui, Y. J., Feng, Q., Jiang, T., & Liu, Y. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160008 · Cited by 78
Self-citation
Evaluation of Pattern Recognition and Feature Extraction Methods in ADHD Prediction
Sato, J. R., Hoexter, M. Q., Fujita, A., & Rohde, L. A. (2012) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00068 · Cited by 74
Frequency-dependent alterations in the amplitude of low-frequency fluctuations in social anxiety disorder.
Zhang, Y.-X., Zhu, C.-Y., Chen, H., Duan, X.-J., Lu, F.-M., Li, M., Liu, F., Ma, X., Wang, Y.-F., Zeng, L., et al. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.12.001 · Cited by 75
Lewy body compared with Alzheimer dementia is associated with decreased functional connectivity in resting state networks
Lowther, E. R., O'Brien, J. T., Firbank, M., & Blamire, A. M. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.06.004 · Cited by 72
Ensemble Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Complex Graph Measures from Diffusion Tensor Images
Ebadi, A., da Rocha, J. L. D., Nagaraju, D. B., Tovar-Moll, F. F., Bramati, I. E., Coutinho, G., Sitaram, R., & Rashidi, P. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00056 · Cited by 71
Longitudinal assessment of local and global functional connectivity following sports-related concussion
Meier, T. B., Bellgowan, P. S. F., & Mayer, A. R. (2016) · Brain Imaging and Behavior · doi:10.1007/s11682-016-9520-y · Cited by 69
Impaired Parahippocampus Connectivity in Mild Cognitive Impairment and Alzheimer’s Disease
Liu, J., Zhang, X., Yu, C., Duan, Y., Zhuo, J., Cui, Y. J., Liu, B., Li, K., Jiang, T., & Liu, Y. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150727 · Cited by 66
Self-citation
Functional MRI-Specific Alterations in Salience Network in Mild Cognitive Impairment: An ALE Meta-Analysis
Song, Y., Xu, W., Chen, S., Hu, G., Ge, H., Xue, C., Qi, W., Lin, X., & Chen, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.695210 · Cited by 68
Characterizing dynamic local functional connectivity in the human brain
Deng, L., Sun, J., Cheng, L., & Tong, S. (2016) · Scientific Reports · doi:10.1038/srep26976 · Cited by 65
Resting-state abnormalities in amnestic mild cognitive impairment: a meta-analysis
Lau, W. K., Leung, M.-K., Lee, T. M. C., & Law, A. C. K. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.55 · Cited by 64
Multimodal fMRI Resting-State Functional Connectivity in Granulin Mutations: The Case of Fronto-Parietal Dementia
Premi, E., Cauda, F., Gasparotti, R., Diano, M., Archetti, S., Padovani, A., & Borroni, B. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106500 · Cited by 73
Depression Affects Intrinsic Brain Activity in Patients With Mild Cognitive Impairment
Yu, Y., Li, Z., Lin, Y., Yu, J. Z., Peng, G., Zhang, K., Jia, X., & Luo, B. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01333 · Cited by 62
Mild cognitive impairment and fMRI studies of brain functional connectivity: the state of the art
Farràs-Permanyer, L., Guàrdia‐Olmos, J., & Peró, M. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.01095 · Cited by 63
Love-related changes in the brain: a resting-state functional magnetic resonance imaging study
Song, H., Zou, Z., Kou, J., Liu, Y., Yang, L., Zilverstand, A., Uquillas, F. D., & Zhang, X. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00071 · Cited by 64
Self-citation
Alterations of brain local functional connectivity in amnestic mild cognitive impairment
Zhen, D., Xia, W., Yi, Z.-Q., Zhao, P.-W., Zhong, J., Shi, H.-C., Li, H.-L., Dai, Z.-Y., & Pan, P.-L. (2018) · Translational Neurodegeneration · doi:10.1186/s40035-018-0134-8 · Cited by 57
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. (2019) · Journal of Alzheimer's Disease · doi:10.3233/jad-181049 · Cited by 59
Abnormal spontaneous brain activity in type 2 diabetes with and without microangiopathy revealed by regional homogeneity
Peng, J., Qu, H., Peng, J., Luo, T., Lv, F., chen, L., Wang, Z., Ouyang, Y., & Cheng, Q. (2016) · European Journal of Radiology · doi:10.1016/j.ejrad.2015.12.024 · Cited by 57
Combined Cognitive-Psychological-Physical Intervention Induces Reorganization of Intrinsic Functional Brain Architecture in Older Adults
Zheng, Z., Zhu, X., Yin, S., Wang, B., Niu, Y., Huang, X., Li, R., & Li, J. (2015) · Neural Plasticity · doi:10.1155/2015/713104 · Cited by 55
Self-citation
Altered Pattern of Spontaneous Brain Activity in the Patients with End-Stage Renal Disease: A Resting-State Functional MRI Study with Regional Homogeneity Analysis
Liang, X., Wen, J., Ni, L., Zhong, J., Qi, R., Zhang, L. J., & Lu, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0071507 · Cited by 57
Alterations in regional homogeneity of resting-state brain activity in ketamine addicts
Liao, Y., Tang, J., Fornito, A., Liu, T., Chen, X., Chen, H., Xiang, X., Wang, X., & Hao, W. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.06.009 · Cited by 54
Resting-State Brain Network Dysfunctions Associated With Visuomotor Impairments in Autism Spectrum Disorder
Wang, Z., Wang, Y., Sweeney, J. A., Gong, Q., Lui, S., & Mosconi, M. W. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00017 · Cited by 57
Prediction of long-term memory scores in MCI based on resting-state fMRI
Meskaldji, D. E., Preti, M. G., Bolton, T. A. W., Montandon, M., Rodriguez, C. K., Morgenthaler, S., Giannakopoulos, P., Haller, S., & Ville, D. V. D. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.10.004 · Cited by 53
Assessment of Functional Characteristics of Amnestic Mild Cognitive Impairment and Alzheimer’s Disease Using Various Methods of Resting-State FMRI Analysis
Cha, J., Hwang, J.-M., Jo, H. J., Seo, S. W., Na, D. L., & Lee, J. (2015) · BioMed Research International · doi:10.1155/2015/907464 · Cited by 54
Altered Regional Homogeneity in the Development of Minimal Hepatic Encephalopathy: A Resting-State Functional MRI Study
Ni, L., Qi, R., Zhang, L. J., Zhong, J., Zheng, G., Zhang, Z., Zhong, Y., Xu, Q., Liao, W., Jiao, Q., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042016 · Cited by 54
Self-citation
Multivariate Classification of Blood Oxygen Level-Dependent fMRI Data with Diagnostic Intention: A Clinical Perspective
Sundermann, B., Herr, D., Schwindt, W., & Pfleiderer, B. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3713 · Cited by 54
A support vector machine-based method to identify mild cognitive impairment with multi-level characteristics of magnetic resonance imaging
Long, Z., Jing, B., Yan, H., Dong, J. Z., Liu, H., Mo, X., Han, Y., & Li, J. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.06.025 · Cited by 54
Altered Spontaneous Activity in Anisometropic Amblyopia Subjects: Revealed by Resting-State fMRI
Lin, X., Ding, K., Liu, Y., Yan, X., Song, S., & Jiang, T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043373 · Cited by 52
Self-citation
Brain function in children with obstructive sleep apnea: a resting-state fMRI study
Ji, T., Li, X., Chen, J., Ren, X., Mei, L., Qiu, Y., Zhang, J., Wang, S., Xu, Z., Li, H., et al. (2021) · SLEEP · doi:10.1093/sleep/zsab047 · Cited by 52
Self-citation
Disruption of Resting Functional Connectivity in Alzheimer’s Patients and At-Risk Subjects
Krajčovičová, L., Mareček, R., Mikl, M., & Rektorová, I. (2014) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-014-0491-3 · Cited by 51
Cognitive and physical training for the elderly: Evaluating outcome efficacy by means of neurophysiological synchronization
Frantzidιs, C. A., Ladas, A. I., Vivas, A. B., Tsolaki, M., & Bamidis, P. D. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.01.007 · Cited by 54
Resting state fMRI regional homogeneity correlates with cognition measures in subcortical vascular cognitive impairment
Diciotti, S., Orsolini, S., Salvadori, E., Giorgio, A., Toschi, N., Ciulli, S., Ginestroni, A., Poggesi, A., Stefano, N. D., Pantoni, L., et al. (2016) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2016.12.003 · Cited by 51
Altered intrinsic regional spontaneous brain activity in patients with optic neuritis: a resting-state functional magnetic resonance imaging study
Shao, Y., Cai, F., Zhong, Y.-L., Huang, X., Zhang, Y., Hu, P.-H., Pei, C.-G., Zhou, F., & Zeng, X. (2015) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s92968 · Cited by 50
Altered spontaneous neural activity in the occipital face area reflects behavioral deficits in developmental prosopagnosia
Zhao, Y., Li, J., Liu, X., Song, Y., Wang, R., Yang, Z., & Liu, J. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.05.027 · Cited by 49
Disruption of brain connectivity in acute stroke patients with early impairment in consciousness
Tsai, Y., Yuan, R., Huang, Y.-C., Yeh, M., Lin, C., & Biswal, B. B. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2013.00956 · Cited by 49
Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets
Dou, X., Yao, H., Feng, F., Wang, P., Zhou, B., Jin, D., Yang, Z., Li, J., Zhao, C., Wang, L., et al. (2020) · Cortex · doi:10.1016/j.cortex.2020.03.032 · Cited by 51
Self-citation
Altered Regional Cerebral Blood Flow and Brain Function Across the Alzheimer's Disease Spectrum: A Potential Biomarker
Zhang, Q., Wang, Q., He, C., Fan, D., Zhu, Y., Zang, F., Tan, C., Zhang, S., Shu, H., Zhang, Z., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.630382 · Cited by 48
Self-citation
Convergent Functional Changes of Default Mode Network in Mild Cognitive Impairment Using Activation Likelihood Estimation
Yuan, Q., Qi, W., Xue, C., Ge, H., Hu, G., Chen, S., Xu, W., Song, Y., Zhang, X., Xiao, C., et al. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.708687 · Cited by 47
Self-citation
The alterations in regional homogeneity of parieto-cingulate and temporo-cerebellum regions of first-episode medication-naïve depression patients
Lai, C., & Wu, Y. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-015-9381-9 · Cited by 46
Altered spontaneous brain activity in heavy smokers revealed by regional homogeneity
Wu, G., Yang, S., Zhu, L., & Lin, F. (2015) · Psychopharmacology · doi:10.1007/s00213-015-3881-6 · Cited by 45
Default-Mode Network Connectivity Changes During the Progression Toward Alzheimer's Dementia: A Longitudinal Functional Magnetic Resonance Imaging Study
Malotaux, V., Dricot, L., Quenon, L., Lhommel, R., Ivanoiu, A., & Hanseeuw, B. J. (2022) · Brain Connectivity · doi:10.1089/brain.2022.0008 · Cited by 45
Exploring the Patterns of Acupuncture on Mild Cognitive Impairment Patients Using Regional Homogeneity
Liu, Z., Wei, W., Bai, L., Dai, R., You, Y., Chen, S., & Tian, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0099335 · Cited by 45
Grey-matter volume as a potential feature for the classification of Alzheimer’s disease and mild cognitive impairment: an exploratory study
Guo, Y., Zhang, Z., Zhou, B., Wang, P., Yao, H., Yuan, M., An, N., Dai, H., Wang, L., Zhang, X., et al. (2014) · Neuroscience Bulletin · doi:10.1007/s12264-013-1432-x · Cited by 47
Self-citation
Looking for Neuroimaging Markers in Frontotemporal Lobar Degeneration Clinical Trials: A Multi-Voxel Pattern Analysis Study in Granulin Disease
Premi, E., Cauda, F., Costa, T., Diano, M., Gazzina, S., Gualeni, V., Alberici, A., Archetti, S., Magoni, M., Gasparotti, R., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150340 · Cited by 44
Aberrant Spontaneous Brain Activity in Patients with Mild Cognitive Impairment and concomitant Lacunar Infarction: A Resting-State Functional MRI Study
Ni, L., Liu, R., Yin, Z., Zhao, H., Nedelská, Z., Hort, J., Zhou, F., Wu, W., Zhang, X., Li, M., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150622 · Cited by 44
Self-citation
Altered Gray Matter Volume in Stable Chronic Obstructive Pulmonary Disease with Subclinical Cognitive Impairment: an Exploratory Study
Wang, C., Ding, Y., Shen, B., Gao, D., An, J., Peng, K., Hou, G., Liqiu, Z., Jiang, M., & Shijun, Q. (2016) · Neurotoxicity Research · doi:10.1007/s12640-016-9690-9 · Cited by 44
Altered Brain Regional Homogeneity Following Contralateral Acupuncture at Quchi (LI 11) and Zusanli (ST 36) in Ischemic Stroke Patients with Left Hemiplegia: An fMRI Study
Chen, S.-Q., Cai, D.-C., Chen, J.-X., Yang, H., & Liu, L.-S. (2019) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-019-3079-6 · Cited by 44
The protective impact of education on brain structure and function in Alzheimer’s disease
Zhu, W., Li, X., Li, X., Wang, H., Li, M., Gao, Z., Wu, X., Tian, Y., Zhou, S., Wang, K., et al. (2021) · BMC Neurology · doi:10.1186/s12883-021-02445-9 · Cited by 43
Abnormal Functional Connectivity Density in Post-traumatic Stress Disorder
Zhang, Y., Xie, B., Chen, H., Li, M., Liu, F., & Chen, H. (2016) · Brain Topography · doi:10.1007/s10548-016-0472-8 · Cited by 42
Regional homogeneity changes in amnestic mild cognitive impairment patients
Yuan, X., Han, Y., Wei, Y., Xia, M., Sheng, C., Jia, J., & Yong He, A. (2016) · Neuroscience Letters · doi:10.1016/j.neulet.2016.06.047 · Cited by 42
Alteration of regional homogeneity and white matter hyperintensities in amnestic mild cognitive impairment subtypes are related to cognition and CSF biomarkers
Initiative, A. D. N., Luo, X., Jiaerken, Y., Huang, P., Xu, X. J., Qiu, T., Jia, Y., Shen, Z., Guan, X., Zhou, J., et al. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9680-4 · Cited by 42
Integrated Positron Emission Tomography/Magnetic Resonance Imaging in clinical diagnosis of Alzheimer’s disease
Gao, F. (2021) · European Journal of Radiology · doi:10.1016/j.ejrad.2021.110017 · Cited by 42
Altered spontaneous activity in treatment-naive childhood absence epilepsy revealed by Regional Homogeneity
Yang, T., Fang, Z., Ren, J., Xiao, F., Li, Q., Liu, L., Lei, D., Gong, Q., & Zhou, D. (2014) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2014.02.025 · Cited by 41
Mild cognitive impairment affects motor control and skill learning
Wu, Q., Chan, J. S. Y., & Yan, J. H. (2015) · Reviews in the Neurosciences · doi:10.1515/revneuro-2015-0020 · Cited by 47
Dynamic abnormalities of spontaneous brain activity in women with primary dysmenorrhea
Jin, L., Yang, X., Liu, P., Sun, J., Chen, F., Xu, Z., Qin, W., & Tian, J. (2017) · Journal of Pain Research · doi:10.2147/jpr.s121286 · Cited by 40
Chemotherapy-induced changes of cerebral activity in resting-state functional magnetic resonance imaging and cerebral white matter in diffusion tensor imaging
Mo, C., Lin, H., Fu, F., Lin, L., Zhang, J., Huang, M., Wang, C., Xue, Y., Duan, Q., Lin, W., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.18111 · Cited by 40
Aberrant brain regional homogeneity in first-episode drug-naïve patients with major depressive disorder: A voxel-wise meta-analysis
Hao, H., Chen, C., Mao, W., Zhong, J., & Dai, Z. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.10.113 · Cited by 39
Structural and functional connectivity abnormalities of the default mode network in patients with Alzheimer's disease and mild cognitive impairment within two independent datasets
Zhou, B., Dou, X., Wang, W., Yao, H., Feng, F., Wang, P., Yang, Z., An, N., Liu, B., Zhang, X., et al. (2022) · Methods · doi:10.1016/j.ymeth.2022.06.001 · Cited by 39
Self-citation
Functional reorganization associated with outcome in hand function after stroke revealed by regional homogeneity
Yin, D., Luo, Y., Song, F., Xu, D., Peterson, B. S., Sun, L., Men, W., Yan, X., & Fan, M. (2013) · Neuroradiology · doi:10.1007/s00234-013-1146-9 · Cited by 39
Regional functional synchronizations in dementia with Lewy bodies and Alzheimer's disease
Peraza, L. R., Colloby, S. J., Deboys, L., O'Brien, J. T., Kaiser, M., & Taylor, J. (2016) · International Psychogeriatrics · doi:10.1017/s1041610216000429 · Cited by 38
Neuropsychology of posteromedial parietal cortex and conversion factors from Mild Cognitive Impairment to Alzheimer’s disease: systematic search and state-of-the-art review
Ilardi, C. R., Chieffi, S., Iachini, T., & Iavarone, A. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-01930-y · Cited by 38
Using Regional Homogeneity to Reveal Altered Spontaneous Activity in Patients with Mild Cognitive Impairment
Wang, Y., Zhao, X., Xu, S., Yu, L., Wang, L., Song, M., Yang, L., & Wang, X. (2015) · BioMed Research International · doi:10.1155/2015/807093 · Cited by 37
Self-citation
Task‐related changes in degree centrality and local coherence of the posterior cingulate cortex after major cardiac surgery in older adults
Browndyke, J. N., Berger, M., Smith, P. J., Harshbarger, T. B., Monge, Z. A., Panchal, V., Bisanar, T. L., Glower, D. D., Alexander, J. H., Cabeza, R. E. L., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23898 · Cited by 34
Aberrant Intrinsic Activity and Connectivity in Cognitively Normal Parkinson’s Disease
Harrington, D. L., Shen, Q., Castillo, G. N., Filoteo, J. V., Litvan, I., Takahashi, C., & French, C. (2017) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2017.00197 · Cited by 38
Primary Disruption of the Memory-Related Subsystems of the Default Mode Network in Alzheimer’s Disease: Resting-State Functional Connectivity MRI Study
Qi, H., Liu, H., Hu, H., He, H., & Zhao, X. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00344 · Cited by 36
Crosstalk between Depression and Dementia with Resting-State fMRI Studies and Its Relationship with Cognitive Functioning
Kim, J., & Kim, Y. (2021) · Biomedicines · doi:10.3390/biomedicines9010082 · Cited by 36
Repeated anodal high-definition transcranial direct current stimulation over the left dorsolateral prefrontal cortex in mild cognitive impairment patients increased regional homogeneity in multiple brain regions
He, F., Li, Y., Li, C., Fan, L., Liu, T., & Wang, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256100 · Cited by 36
Functional MRI-specific alterations in frontoparietal network in mild cognitive impairment: an ALE meta-analysis
Yang, X., Wu, H., Song, Y., Chen, S., Ge, H., Yan, Z., Yuan, Q., Liang, X., Lin, X., & Chen, J. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1165908 · Cited by 34
Regional homogeneity abnormalities in patients with transient ischaemic attack: A resting-state fMRI study
Guo, J., Chen, N., Li, R., Wu, Q., Chen, H., Gong, Q., & He, L. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.08.010 · Cited by 35

Authors: Zhang, Z., Liu, Y., Jiang, T., Zhou, B., An, N., Dai, H., Wang, P., Niu, Y., Wang, L., & Zhang, X.
Affiliations: Chinese PLA General Hospital (CN)
Chinese Academy of Sciences (CN)
University of Electronic Science and Technology of China (CN)
Corresponding author: Wang, Luning
Zhang, Xi
ORCID: Zhang, Zengqiang
Liu, Yong
Jiang, Tianzi
Zhou, Bo
Wang, Pan
Niu, Yixuan
Wang, Luning
Zhang, Xi
Venue: NeuroImage
Publisher: Elsevier BV
Published: 2012-01
Volume: 59
Issue: 2
Pages: 1429-1440
ISSN: 1053-8119 (ISSN-L)
DOI: 10.1016/j.neuroimage.2011.08.049
OpenAlex: W2029132563
Cited by: 255
References: 89
Citations by year: 2026: 6 · 2025: 16 · 2024: 4 · 2023: 11 · 2022: 18 · 2021: 26 · 2020: 22 · 2019: 19 · 2018: 19 · 2017: 20 · 2016: 32 · 2015: 22 · 2014: 19 · 2013: 10 · 2012: 10
FWCI: 6.33
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: NeuroImage (publishedVersion)
PubMed (publishedVersion)
Funders: Natural Science Foundation of China (60831004, 30900476)
National Basic Research Program of China (2011CBA00408)
National High Technology Research and Development Program of China (2009AA02Z302)
International Cooperation and Exchanges Projects (2009DFB10500)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
Keywords: Alzheimer's disease, mild cognitive impairment, regional homogeneity, spontaneous brain activity, resting-state functional connectivity, medial prefrontal cortex, posterior cingulate cortex, precuneus, inferior parietal lobule, compensatory mechanisms, memory impairment, clinical biomarkers
MeSH terms: Aged, Algorithms, Alzheimer Disease, Biological Clocks, Brain, Cognition Disorders, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Sensitivity and Specificity, Reproducibility of Results

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Altered spontaneous activity in Alzheimer's disease and mild cognitive impairment revealed by Regional Homogeneity

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks