Dana Tudorascu

  • Associate Professor
  • Faculty in Biostastistics and Psychiatry
  • Leader, Neuroimaging Statistics in Alzheimer's Disease Group

Dr. Tudorascu’s research focuses on improving brain tissue classification in presence of white matter lesions and atrophy in neuroimaging studies of people with age-related pathology or Alzheimer’s disease. She is also interested in developing methods for data harmonization for multi scanner, multi center neuroimaging studies. She is currently principal investigator of a National Institute on Aging-funded R01 grant focused on statistical methods to improve reproducibility and reduce technical variability in multimodal imaging studies of Alzheimer’s disease.

Dr. Tudorascu collaborates widely with colleagues in psychiatry, biostatistics, neurology, radiology, among many other departments at Pitt as well as outside institutions. Dr. Tudorascu’s activities include training others in statistical methods used in multimodal imaging studies of neuropsychiatric disorders.

Selected Publications

1. Eshaghzadeh Torbati M, Minhas DS, Ahmad G, O’Connor EE, Muschelli J, Laymon CM, Yang Z, Cohen AD, Aizenstein HJ, Klunk WE, Christian BT, Hwang SJ, Crainiceanu CM, Tudorascu DL. A multi-scanner neuroimaging data harmonization using RAVEL and ComBat. Neuroimage. 2021 Dec 15;245:118703. doi: 10.1016/j.neuroimage.2021.118703. Epub 2021 Nov 1. PMID: 34736996; PMCID: PMC8820090.

2. Minhas D.S, Yang Z, Muschelli J, Laymon CM, Mettenburg JM, Zammit MD, Johnson S, Mathis CA, Cohen AD, Handen BL, Klunk WE, Crainiceanu CM, Christian BT, Tudorascu DL. Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application”. In: Lesot MJ. et al. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. https://doi.org/10.1007/978-3-030-50153-2_28 Communications in Computer and Information Science, vol 1239. Springer, Cham.

3. Tudorascu DL, Laymon CM, Zammit M, Minhas DS, Anderson SJ, Ellison PA, Zaman S, Ances BM, Sabbagh M, Johnson SC, Mathis CA, Klunk WE, Handen BL, Christian BT, Cohen AD. Relationship of amyloid beta and neurofibrillary tau deposition in Neurodegeneration in Aging Down Syndrome (NiAD) study at baseline. Alzheimers Dement (N Y). 2020 Oct 31;6(1):e12096. doi: 10.1002/trc2.12096. Erratum in: Alzheimers Dement (N Y). 2021 Jul 19;7(1):e12196. PMID: 33163613; PMCID: PMC7602678.

4. Lopresti BJ, Campbell EM, Yu Z, Anderson SJ, Cohen AD, Minhas DS, Snitz BE, Royse SK, Becker CR, Aizenstein HJ, Mathis CA, Lopez OL, Klunk WE, Tudorascu DL. Influence of apolipoprotein-E genotype on brain amyloid load and longitudinal trajectories. Neurobiol Aging. 2020 Oct;94:111-120. doi: 10.1016/j.neurobiolaging.2020.05.012. Epub 2020 May 31. PMID: 32603776; PMCID: PMC7483397.

5. Tudorascu DL, Minhas DS, Lao PJ, Betthauser TJ, Yu Z, Laymon CM, Lopresti BJ, Mathis CA, Klunk WE, Handen BL, Christian BT, Cohen AD. The use of Centiloids for applying [11C]PiB classification cutoffs across region-of-interest delineation methods. Alzheimers Dement (Amst). 2018 Apr 21;10:332-339. doi: 10.1016/j.dadm.2018.03.006. PMID: 30014032; PMCID: PMC6024172.

6. Tudorascu DL, Anderson SJ, Minhas DS, Yu Z, Comer D, Lao P, Hartley S, Laymon CM, Snitz BE, Lopresti BJ, Johnson S, Price JC, Mathis CA, Aizenstein HJ, Klunk WE, Handen BL, Christian BT, Cohen AD. Comparison of longitudinal Aβ in nondemented elderly and Down syndrome Neurobiol Aging. 2019 Jan;73:171-176. doi: 10.1016/j.neurobiolaging.2018.09.030. Epub 2018 Sep 27. PubMed PMID:30359879.

7. Ding T, Cohen AD, O’Connor EE, Karim HT, Crainiceanu A, Muschelli J, Lopez O, Klunk WE, Aizenstein HJ, Krafty R, Crainiceanu CM, Tudorascu DL. An improved algorithm of white matter hyperintensity detection in elderly adults. Neuroimage Clin. 2019 Dec 27;25:102151. doi: 10.1016/j.nicl.2019.102151. PubMed PMID:31927502.