ADNI | Publications

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2110 Total Publications

Identification of a Simple and Novel Cut-Point Based Cerebrospinal Fluid and MRI Signature for Predicting Alzheimer's Disease Progression that Reinforces the 2018 NIA-AA Research Framework
Devanarayan, P., Devanarayan, V. and Llano, D. A.
2019; Journal J Alzheimers Dis;

High-order correlation detecting in features for diagnosis of Alzheimer's disease and mild cognitive impairment
Ding, Y, Luo, C, Li, C, Lan, T and Qin, Z
2019; Journal Biomedical Signal Processing and Control; vol. 53;

Bayesian adaptive group lasso with semiparametric hidden Markov models
Kang, K, Song, XY, Hu, XJ and Zhu, HT
2019; Journal Statistics in Medicine; vol. 38; no. 9; pp. 1634-1650;

Multistage classifier-based approach for Alzheimer's disease prediction and retrieval
Kruthika, KR, Rajeswari and Maheshappa, HD
2019; Journal Informatics in Medicine Unlocked; vol. 14; pp. 34-42;

Free Water in White Matter Differentiates MCI and AD From Control Subjects
Dumont, M, Roy, M, Jodoin, PM, Morency, FC, Houde, JC, Xie, ZY, Bauer, C, Samad, TA, Van Dijk, KRA, Goodman, JA, Descoteaux, M and Alzheimer's Dis, N
2019; Journal Frontiers in Aging Neuroscience; vol. 11; pp. 9;

A machine learning approach towards detecting dementia based on its modifiable risk factors
Bin-Hezam, R and Ward, TE
2019; Journal International Journal of Advanced Computer Science and Applications; vol. 10; no. 8;

Regional brain atrophy predicts time to conversion to Alzheimer's disease, dependent on baseline volume
Tabatabaei-Jafari, H, Shaw, ME, Walsh, E and Cherbuin, N
2019; Journal Neurobiol Aging; vol. 83; pp. 86-94;

Cognitive/functional measures predict Alzheimer's disease, dependent on hippocampal volume
Tabatabaei-Jafari, H., Shaw, M. E., Walsh, E. and Cherbuin, N.
2019; Journal J Gerontol B Psychol Sci Soc Sci;

Rostral-Caudal Hippocampal Functional Convergence Is Reduced Across the Alzheimer's Disease Spectrum
Therriault, J, Wang, S, Mathotaarachchi, S, Pascoal, TA, Parent, M, Beaudry, T, Shin, M, Benedet, AL, Kang, MS, Ng, KP, Dansereau, C, Park, MTM, Fonov, V, Carbonell, F, Zimmer, E, Chakravarty, MM, Bellec, P, Gauthier, S, Rosa-Neto, P and Alzheimers Dis Neuroimaging, I
2019; Journal Molecular Neurobiology; vol. 56; no. 12; pp. 8336-8344;

Artificially low mild cognitive impairment to normal reversion rate in the Alzheimer's Disease Neuroimaging Initiative
Thomas, K. R., Eppig, J. S., Weigand, A. J., Edmonds, E. C., Wong, C. G., Jak, A. J., Delano-Wood, L., Galasko, D. R., Salmon, D. P., Edland, S. D. and Bondi, M. W.
2019; Journal Alzheimers Dement;