Publications

Figure: Representative image of a participant who received an [18F] florbetaben PET scan, used to detect binding of amyloid protein in the brain.

Top: a structural T1 MR image, used to define anatomical regions of interest.
Middle: [18F] florbetaben PET image. Note the low PET signal in cortical gray matter, because this is a relatively cognitively normal participant.
Bottom: A fused image with the [18F] florbetaben PET image overlaid onto the structural T1 image.
  1. Impairment of memory generalization in preclinical autosomal dominant Alzheimer’s disease mutation carriers.
    Petok JR, Myers CE, Pa J, Hobel Z, Wharton DM, Medina LD, Casado M, Coppola G, Gluck MA, Ringman JM; Neurobiology of aging; 2018 May 1:65:149-57; Petok etal NeuroAging 2018
  2. BDQC: a general-purpose analytics tool for domain-blind validation of Big Data.
    Deutsch E, Kramer R, Ames J, Bauman A, Campbell DS, Chard K, Clark K, D’Arcy M, Dinov I, Donovan R, Foster I; bioRxiv; 2018 Jan 1:258822; Deutsch, etal bioRxiv 2018
  3. Apolipoprotein E genotype and sex risk factors for Alzheimer disease: a meta-analysis
    Neu SC, Pa J, Kukull W, Beekly D, Kuzma A, Gangadharan P, Wang LS, Romero K, Arneric SP, Redolfi A, Orlandi D; JAMA neurology; 2017 Oct 1;74(10):1178-89; Neu, etal JAMAneuro 2017
  4. A novel PSEN1 (S230N) mutation causing early-onset Alzheimer’s Disease associated with prosopagnosia, hoarding, and Parkinsonism.
    Ringman JM, Casado M, Van Berlo V, Pa J, Joseph-Mathurin N, Fagan AM, Benzinger T, Bateman RJ, Morris JC; Neuroscience letters; 2017 Sep 14;657:11-5; Ringman, etal NeuroLetters 2017
  5. Predictive big data analytics: A study of Parkinson’s disease using large, complex, heterogeneous, incongruent, multi-cource and incomplete observations.
    Dinov ID, Heavner B, Tang M, Glusman G, Chard K, Darcy M, Madduri R, Pa J, Spino C, Kesselman C, Foster I, Deutsch EW, Price ND, Van Horn JD, Ames J, Clark K, Hood L, Hampstead BM, Dauer W, Toga AW; PLoS One; 2016 Aug 5;11(8); Dinov, etal PLoS1 2016
  6. Brain imaging of neurovascular dysfunction in Alzheimer’s disease.
    Montagne A, Nation DA, Pa J, Sweeney MD, Toga AW, Zlokovic BV.; Acta Neuropathol; 2016 May; 131(5):687-707; Montagne, etal Acta 2016
  7. Vascular plasticity and cognition during normal aging and dementia.
    Montagne A, Pa J, Zlokovic B; JAMA Neurol; 2015 May; 72(5):495-6; Montage-Pa-Zlokovic_2015
  8. Effect of exercise and cognitive activity on self-reported sleep quality in community-dwelling older adults with cognitive complaints: a randomized controlled trial.
    Pa J, Goodson W, Bloch A, King AC, Yaffe K, Barnes DE; J Am Geriatr Soc; 2014 Dec; 62(12):2319-26; Pa_etal_JAGS_MAXtrial-sleep_2014
  9. Flavanol-rich food for thought.
    Pa J, Gazzaley A., Nat Neurosci; 2014 Nov 21; 17(12):1624-5; Pa Gazzaley_flavanol_NatNeuro_2014
  10. The functional oculomotor network and saccadic cognitive control in healthy elders.
    Pa J, Dutt S, Mirsky JB, Heuer HW, Keselman P, Kong E, Trujillo A, Gazzaley A, Kramer JH, Seeley WW, Miller BL, Boxer AL; Neuroimage; 2014 Jul 15; 95:61-8; Pa_etal_AS-fMRI_Neuroimage_2014
  11. Reliability measures of functional magnetic resonance imaging in a longitudinal evaluation of mild cognitive impairment.
    Zanto TP, Pa J, Gazzaley A; Neuroimage; 2014 Jan 1; 84:443-52; ZantoPaGazzaley_fMRI-ICC_Neuroimage_2014
  12. Cholinergic enhancement of functional networks in older adults with mild cognitive impairment.
    Pa J, Berry AS, Compagnone M, Boccanfuso J, Greenhouse I, Rubens MT, Johnson JK, Gazzaley A; Ann Neurol; 2013 Jun; 73(6):762-73; Pa_et_al-2013-Annals_of_Neurology
  13. Longitudinal change in neuropsychological performance using latent growth models: a study of mild cognitive impairment.
    Johnson JK, Gross AL, Pa J, McLaren DG, Park LQ, Manly JJ; Brain Imaging Behav; 2012 Dec; 6(4):540-50; Johnson_etal_BIB_2012
  14. Confirmatory factor analysis of the ADNI Neuropsychological Battery.
    Park LQ, Gross AL, McLaren DG, Pa J, Johnson JK, Mitchell M, Manly JJ; Brain Imaging Behav; 2012 Dec; 6(4):528-39.
  15. Cortical signatures of cognition and their relationship to Alzheimer’s disease.
    Gross AL, Manly JJ, Pa J, Johnson JK, Park LQ, Mitchell MB, Melrose RJ, Inouye SK, McLaren DG; Brain Imaging Behav; 2012 Dec; 6(4):584-98; Gross_etal_BIB_2012
  16. Baseline predictors of clinical progression among patients with dysexecutive mild cognitive impairment.
    Johnson JK, Pa J, Boxer AL, Kramer JH, Freeman K, Yaffe K; Dement Geriatr Cogn Disord; 2010; 30(4):344-51; JohnsonPa_etal_dMCIprogression_DGCD_2010
  17. Gray matter correlates of set-shifting among neurodegenerative disease, mild cognitive impairment, and healthy older adults.
    Pa J, Possin KL, Wilson SM, Quitania LC, Kramer JH, Boxer AL, Weiner MW, Johnson JK; J Int Neuropsychol Soc; 2010 Jul; 16(4):640-50; Pa_etal_SetShifting_JINS_2010
  18. Patterns of cerebral hypoperfusion in amnestic and dysexecutive MCI.
    Chao LL, Pa J, Duarte A, Schuff N, Weiner MW, Kramer JH, Miller BL, Freeman KM, Johnson JK; Alzheimer Dis Assoc Disord; 2009 Jul-Sep; 23(3):245-52; ChaoPa_etal_Hypoperfusion-dMCI_ADAD_2009
  19. Rule violation errors are associated with right lateral prefrontal cortex atrophy in neurodegenerative disease.
    Possin KL, Brambati SM, Rosen HJ, Johnson JK, Pa J, Weiner MW, Miller BL, Kramer JH; J Int Neuropsychol Soc; 2009 May; 15(3):354-64; Possin_etal__JINS_2009
  20. Clinical-neuroimaging characteristics of dysexecutive mild cognitive impairment.
    Pa J, Boxer A, Chao LL, Gazzaley A, Freeman K, Kramer J, Miller BL, Weiner MW, Neuhaus J, Johnson JK; Ann Neurol; 2009 Apr; 65(4):414-23; Pa_et_al-2009-Annals_of_Neurology
  21. Neural organization of linguistic short-term memory is sensory modality-dependent: evidence from signed and spoken language.
    Pa J, Wilson SM, Pickell H, Bellugi U, Hickok G; J Cogn Neurosci; 2008 Dec; 20(12):2198-210; Pa_etal_JOCN_2008
  22. Bilateral capacity for speech sound processing in auditory comprehension: evidence from Wada procedures.
    Hickok G, Okada K, Barr W, Pa J, Rogalsky C, Donnelly K, Barde L, Grant A; Brain Lang; 2008 Dec; 107(3):179-84; Hickok_etal_BrainLang_2008
  23. A parietal-temporal sensory-motor integration area for the human vocal tract: evidence from an fMRI study of skilled musicians.
    Pa J, Hickok G; Neuropsychologia; 2008 Jan 15; 46(1):362-8; Pa-Hickok_Neuropsychologia_2008
Figure: Representative image of a participant who received an [18F] florbetaben PET scan, used to detect binding of amyloid protein in the brain.

Top: a structural T1 MR image, used to define anatomical regions of interest.
Middle: [18F] florbetaben PET image. Note the low PET signal in cortical gray matter, because this is a relatively cognitively normal participant.
Bottom: A fused image with the [18F] florbetaben PET image overlaid onto the structural T1 image.