The Jagust Lab

PET Scans

Elman, J. A., Madison, C. M., Baker, S. L., Vogel, J. W., Marks, S. M., Crowley, S., ... & Jagust, W. J. (2016). Effects of beta-amyloid on resting state functional connectivity within and between networks reflect known patterns of regional vulnerability. Cerebral Cortex, 26(2), 695-707.References

Villeneuve, S., Rabinovici, G. D., Cohn-Sheehy, B. I., Madison, C., Ayakta, N., Ghosh, P. M., ... & Lehmann, M. (2015). Existing Pittsburgh Compound-B positron emission tomography thresholds are too high: statistical and pathological evaluation. Brain, 138(7), 2020-2033.

Ossenkoppele, R., Schonhaut, D. R., Baker, S. L., O'neil, J. P., Janabi, M., Ghosh, P. M., ... & Miller, B. L. (2015). Tau, amyloid, and hypometabolism in a patient with posterior cortical atrophy. Annals of neurology, 77(2), 338-342.

Elman, J. A., Oh, H., Madison, C. M., Baker, S. L., Vogel, J. W., Marks, S. M., ... & Jagust, W. J. (2014). Neural compensation in older people with brain amyloid-[beta] deposition. Nature neuroscience, 17(10), 1316-1318.

Elman, J. A., Madison, C. M., Baker, S. L., Vogel, J. W., Marks, S. M., Crowley, S., ... & Jagust, W. J. (2016). Effects of beta-amyloid on resting state functional connectivity within and between networks reflect known patterns of regional vulnerability. Cerebral Cortex, 26(2), 695-707.

Villeneuve, S., Reed, B. R., Wirth, M., Haase, C. M., Madison, C. M., Ayakta, N., ... & Weiner, M. W. (2014). Cortical thickness mediates the effect of β-amyloid on episodic memory. Neurology, 82(9), 761-767.

Wirth, M., Villeneuve, S., La Joie, R., Marks, S. M., & Jagust, W. J. (2014). Gene–environment interactions: lifetime cognitive activity, APOE genotype, and beta-amyloid burden. Journal of Neuroscience, 34(25), 8612-8617.

Oh, H., & Jagust, W. J. (2013). Frontotemporal network connectivity during memory encoding is increased with aging and disrupted by beta-amyloid. Journal of Neuroscience, 33(47), 18425-18437.

Wirth, M., Villeneuve, S., Haase, C. M., Madison, C. M., Oh, H., Landau, S. M., ... & Jagust, W. J. (2013). Associations between Alzheimer disease biomarkers, neurodegeneration, and cognition in cognitively normal older people. JAMA neurology, 70(12), 1512-1519.

Oh, H., Madison, C., Villeneuve, S., Markley, C., & Jagust, W. J. (2013). Association of gray matter atrophy with age, β-amyloid, and cognition in aging. Cerebral cortex, bht017.

Marchant, N. L., Reed, B. R., Sanossian, N., Madison, C. M., Kriger, S., Dhada, R., ... & Chui, H. C. (2013). The aging brain and cognition: contribution of vascular injury and aβ to mild cognitive dysfunction. JAMA neurology, 70(4), 488-495.

Mormino, E. C., Brandel, M. G., Madison, C. M., Rabinovici, G. D., Marks, S., Baker, S. L., & Jagust, W. J. (2012). Not quite PIB-positive, not quite PIB-negative: slight PIB elevations in elderly normal control subjects are biologically relevant. Neuroimage, 59(2), 1152-1160.

Oh, H., Habeck, C., Madison, C., & Jagust, W. (2014). Covarying alterations in Aβ deposition, glucose metabolism, and gray matter volume in cognitively normal elderly. Human brain mapping, 35(1), 297-308.

Mormino, E. C., Smiljic, A., Hayenga, A. O., Onami, S. H., Greicius, M. D., Rabinovici, G. D., ... & Miller, B. L. (2011). Relationships between beta-amyloid and functional connectivity in different components of the default mode network in aging. Cerebral cortex, bhr025.

Furst, A. J., Rabinovici, G. D., Rostomian, A. H., Steed, T., Alkalay, A., Racine, C., ... & Jagust, W. J. (2012). Cognition, glucose metabolism and amyloid burden in Alzheimer's disease. Neurobiology of aging, 33(2), 215-225.

Rabinovici, G. D., Furst, A. J., Alkalay, A., Racine, C. A., O’neil, J. P., Janabi, M., ... & Weiner, M. W. (2010). Increased metabolic vulnerability in early-onset Alzheimer’s disease is not related to amyloid burden. Brain, awp326.

Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., ... & Trojanowski, J. Q. (2010). Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade. The Lancet Neurology, 9(1), 119-128.

Jagust, W. (2009). Mapping brain β-amyloid. Current opinion in neurology, 22(4), 356.

Rabinovici, G. D., Jagust, W. J., Furst, A. J., Ogar, J. M., Racine, C. A., Mormino, E. C., ... & Gorno‐Tempini, M. L. (2008). Aβ amyloid and glucose metabolism in three variants of primary progressive aphasia. Annals of neurology, 64(4), 388-401.

Rabinovici, G. D., Furst, A. J., O'neil, J. P., Racine, C. A., Mormino, E. C., Baker, S. L., ... & Mathis, C. A. (2007). 11C-PIB PET imaging in Alzheimer disease and frontotemporal lobar degeneration. Neurology, 68(15), 1205-1212.

Boxer, A. L., Rabinovici, G. D., Kepe, V., Goldman, J., Furst, A. J., Huang, S. C., ... & Small, G. W. (2007). Amyloid imaging in distinguishing atypical prion disease from Alzheimer disease. Neurology, 69(3), 283-290.

Jagust, W. J., Zheng, L., Harvey, D. J., Mack, W. J., Vinters, H. V., Weiner, M. W., ... & Kramer, J. H. Neuropathological basis of MR images in aging and dementia. Ann Neurol, submitted for publication.

Mormino, E. C., Kluth, J. T., Madison, C. M., Rabinovici, G. D., Baker, S. L., Miller, B. L., ... & Alzheimer's Disease Neuroimaging Initiative. (2009). Episodic memory loss is related to hippocampal-mediated β-amyloid deposition in elderly subjects. Brain, 132(5), 1310-1323.

Kuczynski, B., Jagust, W., Chui, H. C., & Reed, B. (2009). An inverse association of cardiovascular risk and frontal lobe glucose metabolism. Neurology, 72(8), 738-743.

ADNI

Landau, S. M., Harvey, D., Madison, C. M., Reiman, E. M., Foster, N. L., Aisen, P. S., ... & Weiner, M. W. (2010). Comparing predictors of conversion and decline in mild cognitive impairment. Neurology, 75(3), 230-238.Landau, S. M., Fero, A., Baker, S. L., Koeppe, R., Mintun, M., Chen, K., ... & Jagust, W. J. (2015). Measurement of longitudinal β-amyloid change with 18F-florbetapir PET and standardized uptake value ratios. Journal of Nuclear Medicine, 56(4), 567-574.

Landau, S. M., Thomas, B. A., Thurfjell, L., Schmidt, M., Margolin, R., Mintun, M., ... & Alzheimer’s Disease Neuroimaging Initiative. (2014). Amyloid PET imaging in Alzheimer’s disease: a comparison of three radiotracers. European journal of nuclear medicine and molecular imaging, 41(7), 1398-1407.

Landau, S. M., Lu, M., Joshi, A. D., Pontecorvo, M., Mintun, M. A., Trojanowski, J. Q., ... & Jagust, W. J. (2013). Comparing positron emission tomography imaging and cerebrospinal fluid measurements of β‐amyloid. Annals of neurology, 74(6), 826-836.

Jagust, W. J., Landau, S. M., & Alzheimer's Disease Neuroimaging Initiative. (2012). Apolipoprotein E, not fibrillar β-amyloid, reduces cerebral glucose metabolism in normal aging. Journal of Neuroscience, 32(50), 18227-18233.

Haight, T. J., Jagust, W. J., & Alzheimer’s Disease Neuroimaging Initiative. (2012). Relative contributions of biomarkers in Alzheimer’s disease. Annals of epidemiology, 22(12), 868-875.

Landau, S. M., Marks, S. M., Mormino, E. C., Rabinovici, G. D., Oh, H., O’Neil, J. P., ... & Jagust, W. J. (2012). Association of lifetime cognitive engagement and low β-amyloid deposition. Archives of neurology, 69(5), 623-629.

Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M., Mathis, C. A., Jagust, W. J., & Mintun, M. A. (2013). Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods. Journal of Nuclear Medicine, 54(1), 70-77.

Lo, R. Y., Hubbard, A. E., Shaw, L. M., Trojanowski, J. Q., Petersen, R. C., Aisen, P. S., ... & Alzheimer's Disease Neuroimaging Initiative. (2011). Longitudinal change of biomarkers in cognitive decline. Archives of Neurology, 68(10), 1257-1266.

Jagust, W. J., Bandy, D., Chen, K., Foster, N. L., Landau, S. M., Mathis, C. A., ... & Alzheimer's Disease Neuroimaging Initiative. (2010). The Alzheimer's Disease Neuroimaging Initiative positron emission tomography core. Alzheimer's & Dementia, 6(3), 221-229.

Jagust, W. J., Landau, S. M., Shaw, L. M., Trojanowski, J. Q., Koeppe, R. A., Reiman, E. M., ... & Mathis, C. A. (2009). Relationships between biomarkers in aging and dementia. Neurology, 73(15), 1193-1199.

Haense, C., Herholz, K., Jagust, W. J., & Heiss, W. D. (2009). Performance of FDG PET for detection of Alzheimer’s disease in two independent multicentre samples (NEST-DD and ADNI). Dementia and geriatric cognitive disorders, 28(3), 259-266.

Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., ... & Trojanowski, J. Q. (2010). Alzheimer's disease Neuroimaging Initiative (ADNI) clinical characterization. Neurology, 74(3), 201-209.

Landau, S. M., Harvey, D., Madison, C. M., Koeppe, R. A., Reiman, E. M., Foster, N. L., ... & Alzheimer's Disease Neuroimaging Initiative. (2011). Associations between cognitive, functional, and FDG-PET measures of decline in AD and MCI. Neurobiology of aging, 32(7), 1207-1218.

Dopamine

Braskie, M. N., Landau, S. M., Wilcox, C. E., Taylor, S. D., O'neil, J. P., Baker, S. L., ... & Jagust, W. J. (2011). Correlations of striatal dopamine synthesis with default network deactivations during working memory in younger adults. Human brain mapping, 32(6), 947-961.

Braskie, M. N., Wilcox, C. E., Landau, S. M., O'Neil, J. P., Baker, S. L., Madison, C. M., ... & Jagust, W. J. (2008). Relationship of striatal dopamine synthesis capacity to age and cognition. Journal of Neuroscience, 28(52), 14320-14328.

Wallace, D. L., Aarts, E., Uquillas, F. D. O., Dang, L. C., Greer, S. M., Jagust, W. J., & D'Esposito, M. (2015). Genotype status of the dopamine-related catechol-O-methyltransferase (COMT) gene corresponds with desirability of “unhealthy” foods. Appetite, 92, 74-80.

Aarts, E., Wallace, D. L., Dang, L. C., Jagust, W. J., Cools, R., & D’Esposito, M. (2014). Dopamine and the cognitive downside of a promised bonus. Psychological science, 0956797613517240.

Wallace, D. L., Aarts, E., Dang, L. C., Greer, S. M., Jagust, W. J., & Mark, D. (2014). Dorsal striatal dopamine, food preference and health perception in humans. PloS one, 9(5), e96319.

Dang, L. C., O'Neil, J. P., & Jagust, W. J. (2012). Dopamine supports coupling of attention-related networks. Journal of Neuroscience, 32(28), 9582-9587.

Dang, L. C., Donde, A., Madison, C., O'Neil, J. P., & Jagust, W. J. (2012). Striatal dopamine influences the default mode network to affect shifting between object features. Journal of cognitive neuroscience, 24(9), 1960-1970.

Klostermann, E. C., Braskie, M. N., Landau, S. M., O'Neil, J. P., & Jagust, W. J. (2012). Dopamine and frontostriatal networks in cognitive aging. Neurobiology of aging, 33(3), 623-e15.

Cools, R., Gibbs, S. E., Miyakawa, A., Jagust, W., & D'Esposito, M. (2008). Working memory capacity predicts dopamine synthesis capacity in the human striatum. Journal of Neuroscience, 28(5), 1208-1212.

Cools, R., Frank, M. J., Gibbs, S. E., Miyakawa, A., Jagust, W., & D'Esposito, M. (2009). Striatal dopamine predicts outcome-specific reversal learning and its sensitivity to dopaminergic drug administration. Journal of Neuroscience, 29(5), 1538-1543.

Landau, S. M., Lal, R., O'neil, J. P., Baker, S., & Jagust, W. J. (2009). Striatal dopamine and working memory. Cerebral cortex, 19(2), 445-454.