Publications using Brant

[17] P. Wang et al., “Aberrant Hippocampal Functional Connectivity Is Associated with Fornix White Matter Integrity in Alzheimer’s Disease and Mild Cognitive Impairment,” J Alzheimers Dis., 2020; 75:1153-1168.

[16] D. Jin et al., “Grab-AD: Generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer’s Disease,” Human Brain Mapping, 2020; 41:3379-3391.

[15] Z. Zhou et al., “A toolbox for brain network construction and classification (BrainNetClass),” Human Brain Mapping, hbm.24979, Mar. 2020

[14] T. Liebe, J. Kaufmann, M. Li, M. Skalej, G. Wagner, and M. Walter, “In vivo anatomical mapping of human locus coeruleus functional connectivity at 3 T MRI,” Human Brain Mapping, p. hbm.24935, Jan. 2020.

[13] A. Li et al., “A neuroimaging biomarker for striatal dysfunction in schizophrenia,” Nature Medicine, Mar. 2020.

[12] Quan M, Zhao T, Tang Y, Luo P, Wang W, Qin Q, Li T, Wang Q, Fang J, Jia J. “Effects of gene mutation and disease progression on representative neural circuits in familial Alzheimer’s disease,” Alzheimers Res Ther. 2020;12(1):14.

[11] Zhu W, Huang H, Yang S, Luo X, Zhu W, Xu S, Meng Q, Zuo C, Zhao K, Liu H, Liu Y, Wang W. “Dysfunctional Architecture Underlines White Matter Hyperintensities with and without Cognitive Impairment,” J Alzheimers Dis, 2019;71(2):461-76.

[10] C. Vries, R. T. Staff, G. D. Waiter, M. O. Sokunbi, A. L. Sandu, and A. D. Murray, “Motion during Acquisition is Associated with fMRI Brain Entropy,” IEEE Journal of Biomedical and Health Informatics, pp. 1–1, 2019.

[9] J. Li et al., “ASAF: altered spontaneous activity fingerprinting in Alzheimer’s disease based on multisite fMRI,” Science Bulletin, Apr. 2019.

[8] N. Luo et al., “Brain function, structure and genomic data are linked but show different sensitivity to duration of illness and disease stage in schizophrenia.,” Neuroimage Clin, vol. 23, pp. 101887–101887, 2019.

[7] R. Pang et al., “Altered Regional Homogeneity in Chronic Insomnia Disorder with or without Cognitive Impairment,” AJNR Am J Neuroradiol, vol. 39, no. 4, pp. 742–747, Apr. 2018.

[6] H. Sun et al., “Regional homogeneity and functional connectivity patterns in major depressive disorder, cognitive vulnerability to depression and healthy subjects,” Journal of Affective Disorders, vol. 235, pp. 229–235, Aug. 2018.

[5] Y. Zhang, X. Liu, K. Zhao, L. Li, and Y. Ding, “Study of altered functional connectivity in individuals at risk for Alzheimer’s Disease.,” Technol Health Care, vol. 26, no. S1, pp. 103–111, 2018.

[4] S. Peeters et al., “Reduced specialized processing in psychotic disorder: a graph theoretical analysis of cerebral functional connectivity,” Brain Behav, vol. 6, no. 9, p. e00508, 2016.

[3] M. Xiao et al., “Attention Performance Measured by Attention Network Test Is Correlated with Global and Regional Efficiency of Structural Brain Networks,” Front. Behav. Neurosci., vol. 10, 2016.

[2] S. Yang et al., “Altered Intranetwork and Internetwork Functional Connectivity in Type 2 Diabetes Mellitus With and Without Cognitive Impairment,” Sci Rep, vol. 6, no. 1, p. 32980, Dec. 2016.

[1] Y. Wang et al., “Using Regional Homogeneity to Reveal Altered Spontaneous Activity in Patients with Mild Cognitive Impairment,” BioMed Research International, vol. 2015, pp. 1–8, 2015.