Research
Peer-Reviewed Journal Articles
Devanand, D.P., Lee, S., Luchsinger, J.A., Knopman, D., Vassilaki, M., Motter, J.N. (2024). Comparison of brief olfactory and cognitive assessments to neuroimaging biomarkers in the prediction of cognitive decline and dementia in the MCSA cohort. Alzheimer's Dement.
Qian, Min, Motter, J.N., Deehan, E., Graff, J., Adhikari, A., Doraiswamy, P.M., Goldberg, T.E., Devanand, D.P. (2024). Predictors of Improvement after Cognitive Training in Mild Cognitive Impairment: Insights from the Cognitive Training and Neuroplasticity in Mild Cognitive Impairment Trial. Alzheimer Dis Assoc Disord. DOI: 10.1097/WAD.0000000000000639
Motter, J.N., Choi, J., Lee, S., Goldberg, T.E., Albert, S., Devanand, D.P. (2023). Association of Performance on Olfactory and Cognitive Screening Tests With Conversion to Dementia in a Biracial Cohort of Older Adults. Neurology. Doi: 10.1212/WNL.0000000000207578
Motter, J.N., Rushia, S.N., Qian, M., Ndouli, C., Nwosu, A., Petrella, J.R., Doraiswamy, P.M., Goldberg, T.E., Devanand, D.P. (2023). Expectancy Does Not Predict 18-month Treatment Outcomes with Cognitive Training in Mild Cognitive Impairment. J Prev Alz Dis. doi: 10.14283/jpad.2023.62
Choi, J., Lee, S., Motter, J.N., Andrews, H., Doraiswamy, P.M., Devanand, D.P., & Goldberg, T.E. (2022) Models of Depressive Pseudodementia. Alzheimer's Dement. doi: 10.1002/trc2.12335
Motter, J.N., Lee, S., Sneed, J.R., Doraiswamy, P.M., Pelton, G.H., Petrella, J.R., Devanand, D.P. (2021) Cortical thickness predicts remission of depression with antidepressants in patients with late-life depression and cognitive impairment. Journal of Affective Disorders. doi: 10.1016/j.jad.2021.08.062
Egglefield, D.A., Schiff, S., Motter, J.N., Grinberg, A., Rutherford, B.R., & Sneed, J.R. (2021). Cortical thickness and hippocampal volume in vascular and non-vascular depressed patients. Front Psychiatry. doi: 10.3389/fpsyt.2021.697489
Grinberg, A., Egglefield, D.A., Schiff, S., Motter, J.N., Sneed, J.R. (2021) Computerized Cognitive Training: A Review of Mechanisms, Methodological Considerations, and Application to Research in Depression. Journal of Cognitive Enhancement. doi: 10.1007/s41465-021-00209-4
Schiff, S., Egglefield, D.A., Motter, J.N., Grinberg, A., Rushia, S.N., Rutherford, B.R., Sneed, J.R. (2021). Who benefits from computerized cognitive training? Lower processing speed predicts greater cognitive improvement. Journal of Affective Disorders Reports. doi: 10.1016/j.jadr.2021.100149
Motter, J.N., Liu, X., Cohen, H.R., & Devanand, D.P. (2021). Odor Identification Impairment and Cholinesterase Inhibitor Treatment in Alzheimer’s Disease. Alzheimer's Dement Diagnosis Assess Dis Monit. doi: 10.1002/dad2.12158
Steffener, J., Motter, J.N., Tabert, M.H., & Devanand, D.P. (2021). Odorant-induced brain activation as a function of normal aging and Alzheimer’s disease: a preliminary study. Behav. Brain Res. doi: 10.1016/j.bbr.2020.113078
Rushia, S.N., Shehab, A.A., Motter, J.N., Egglefield, D.A., Schiff, S., Sneed, J.R., & Garcon, E. (2020). Vascular depression for radiology: A review of the construct, methodology, and diagnosis. World Journal of Radiology. doi: 10.4329/wjr.v12.i5.48
Rushia, S.N., Schiff, S., Egglefield, D.A., Motter, J.N., Grinberg, A., Saldana, D.G., Shehab, A.A., Fan, J., & Sneed, J.R. (2020). Testing the mechanism of action of computerized cognitive training in young adults with depression: Protocol for a blinded, randomized, controlled treatment trial. Journal of Psychiatry and Brain Science. doi: 10.20900/jpbs.20200014
Dana, K., Finik, J., Koenig, S., Motter, J.N, Zhang, W., Linaris, M., Brumberg, J.C., & Nomura, Y. (2019 Prenatal Exposure to Famine and Risk for Development of Psychopathology in Adulthood: A Meta-Analysis. Journal of Psychiatry and Psychiatric Disorders. doi: 10.26502/jppd.2572-519X0077
Motter, J.N.*, Grinberg, A.*, Lieberman, D.H., Iqnaibi, W.B., & Sneed, J.R. (2019) Computerized cognitive training in young adults with depressive symptoms: effects on mood, cognition, and everyday functioning. Journal of Affective Disorders. doi: 10.1016/j.jad.2018.10.109
Motter, J.N., Pelton, G.H., D’Antonio, K., Rushia, S.N., Pimontel, M.A., Petrella, J.R., Garcon, E., Ciovacco, M.W., Sneed, J. Doraiswamy, P.M., & Devanand, D.P. (2018). Clinical and radiological characteristics of early versus late mild cognitive impairment in patients with comorbid depressive disorder. Int J Geriatr Psychiatry. doi: 10.1002/gps.4955
Motter, J.N., Devanand, D.P., Doraiswamy, P. M., & Sneed, J.R. (2016). Clinical Trials to Gain FDA Approval for Computerized Cognitive Training: What Is the Ideal Control Condition? Front Aging Neurosci. doi: 10.3389/fnagi.2016.00249
Motter, J.N., Pimontel, M.A., Rindskopf, D., Devanand, D.P., Doraiswamy, P.M., & Sneed, J.R. (2016). Computerized cognitive training and functional recovery in major depressive disorder: A meta-analysis. Journal of Affective Disorders. doi: 10.1016/j.jad.2015.09.022
Motter, J.N., Devanand, D.P., Doraiswamy, P.M., & Sneed, J.R. (2015). Computerized cognitive training for major depressive disorder: what’s next? Front Psychiatry. doi: 10.3389/fpsyt.2015.00137