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Items: 26

1.

Vascular Risk Factors and Findings on Brain MRI of Elderly Adult American Indians: The Strong Heart Study.

Shibata D, Suchy-Dicey A, Carty CL, Madhyastha T, Ali T, Best L, Grabowski TJ Jr, Longstreth WT Jr, Buchwald D.

Neuroepidemiology. 2019 Jan 24;52(3-4):173-180. doi: 10.1159/000496343. [Epub ahead of print]

PMID:
30677776
2.

Telomere Length and Magnetic Resonance Imaging Findings of Vascular Brain Injury and Central Brain Atrophy: The Strong Heart Study.

Suchy-Dicey AM, Muller CJ, Madhyastha TM, Shibata D, Cole SA, Zhao J, Longstreth WT Jr, Buchwald D.

Am J Epidemiol. 2018 Jun 1;187(6):1231-1239. doi: 10.1093/aje/kwx368.

PMID:
29860472
3.

Quantitative cerebrovascular pathology in a community-based cohort of older adults.

Rane S, Koh N, Boord P, Madhyastha T, Askren MK, Jayadev S, Cholerton B, Larson E, Grabowski TJ.

Neurobiol Aging. 2018 May;65:77-85. doi: 10.1016/j.neurobiolaging.2018.01.006. Epub 2018 Jan 31.

PMID:
29452984
4.

Current methods and limitations for longitudinal fMRI analysis across development.

Madhyastha T, Peverill M, Koh N, McCabe C, Flournoy J, Mills K, King K, Pfeifer J, McLaughlin KA.

Dev Cogn Neurosci. 2018 Oct;33:118-128. doi: 10.1016/j.dcn.2017.11.006. Epub 2017 Nov 22.

5.

Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost?

Madhyastha TM, Koh N, Day TKM, Hernández-Fernández M, Kelley A, Peterson DJ, Rajan S, Woelfer KA, Wolf J, Grabowski TJ.

Front Neuroinform. 2017 Nov 3;11:63. doi: 10.3389/fninf.2017.00063. eCollection 2017.

6.

Characterizing cross-subject spatial interaction patterns in functional magnetic resonance imaging studies: A two-stage point-process model.

Lee A, Särkkä A, Madhyastha TM, Grabowski TJ.

Biom J. 2017 Nov;59(6):1352-1381. doi: 10.1002/bimj.201600212. Epub 2017 Jul 12.

7.

Total Brain and Hippocampal Volumes and Cognition in Older American Indians: The Strong Heart Study.

Cholerton B, Omidpanah A, Madhyastha TM, Grabowski TJ, Suchy-Dicey AM, Shibata DK, Nelson LA, Verney SP, Howard BV, Longstreth WT Jr, Montine TJ, Buchwald D.

Alzheimer Dis Assoc Disord. 2017 Apr-Jun;31(2):94-100. doi: 10.1097/WAD.0000000000000203.

8.

Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults.

Wang S, Peterson DJ, Wang Y, Wang Q, Grabowski TJ, Li W, Madhyastha TM.

Front Neurol. 2017 Mar 29;8:118. doi: 10.3389/fneur.2017.00118. eCollection 2017.

9.

Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI.

Wang S, Peterson DJ, Gatenby JC, Li W, Grabowski TJ, Madhyastha TM.

Front Neuroinform. 2017 Feb 21;11:17. doi: 10.3389/fninf.2017.00017. eCollection 2017.

10.

Findings of Vascular Brain Injury and Structural Loss from Cranial Magnetic Resonance Imaging in Elderly American Indians: The Strong Heart Study.

Suchy-Dicey AM, Shibata DK, Madhyastha TM, Grabowski TJ, Longstreth WT Jr, Buchwald DS.

Neuroepidemiology. 2017;48(1-2):39-47. doi: 10.1159/000459624. Epub 2017 Mar 4.

11.

Executive attention networks show altered relationship with default mode network in PD.

Boord P, Madhyastha TM, Askren MK, Grabowski TJ.

Neuroimage Clin. 2016 Nov 5;13:1-8. eCollection 2017.

12.

Cranial Magnetic Resonance Imaging in Elderly American Indians: Design, Methods, and Implementation of the Cerebrovascular Disease and Its Consequences in American Indians Study.

Suchy-Dicey AM, Shibata D, Best LG, Verney SP, Longstreth WT Jr, Lee ET, Okin PM, Devereux R, O'Leary M, Ali T, Jensen PN, Muller C, Nelson LA, Rhoades E, Madhyastha T, Grabowski TJ, Beauchamp N, Umans JG, Buchwald D.

Neuroepidemiology. 2016;47(2):67-75. Epub 2016 Sep 8.

13.

Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance.

Askren MK, McAllister-Day TK, Koh N, Mestre Z, Dines JN, Korman BA, Melhorn SJ, Peterson DJ, Peverill M, Qin X, Rane SD, Reilly MA, Reiter MA, Sambrook KA, Woelfer KA, Grabowski TJ, Madhyastha TM.

Front Neuroinform. 2016 Feb 2;10:2. doi: 10.3389/fninf.2016.00002. eCollection 2016.

14.

Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering.

Gaiteri C, Chen M, Szymanski B, Kuzmin K, Xie J, Lee C, Blanche T, Chaibub Neto E, Huang SC, Grabowski T, Madhyastha T, Komashko V.

Sci Rep. 2015 Nov 9;5:16361. doi: 10.1038/srep16361.

15.

Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data.

Bach B, Shi C, Heulot N, Madhyastha T, Grabowski T, Dragicevic P.

IEEE Trans Vis Comput Graph. 2016 Jan;22(1):559-68. doi: 10.1109/TVCG.2015.2467851.

PMID:
26529718
16.

Group comparison of spatiotemporal dynamics of intrinsic networks in Parkinson's disease.

Madhyastha TM, Askren MK, Zhang J, Leverenz JB, Montine TJ, Grabowski TJ.

Brain. 2015 Sep;138(Pt 9):2672-86. doi: 10.1093/brain/awv189. Epub 2015 Jul 14.

17.

Cerebral perfusion and cortical thickness indicate cortical involvement in mild Parkinson's disease.

Madhyastha TM, Askren MK, Boord P, Zhang J, Leverenz JB, Grabowski TJ.

Mov Disord. 2015 Dec;30(14):1893-900. doi: 10.1002/mds.26128. Epub 2015 Mar 11.

18.

Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly.

Liem F, Mérillat S, Bezzola L, Hirsiger S, Philipp M, Madhyastha T, Jäncke L.

Neuroimage. 2015 Mar;108:95-109. doi: 10.1016/j.neuroimage.2014.12.035. Epub 2014 Dec 19.

PMID:
25534113
19.

What affects detectability of lesion-deficit relationships in lesion studies?

Inoue K, Madhyastha T, Rudrauf D, Mehta S, Grabowski T.

Neuroimage Clin. 2014 Oct 16;6:388-97. doi: 10.1016/j.nicl.2014.10.002. eCollection 2014.

20.

Link Clustering to Explore Brain Dynamics Using Resting State Functional MRI.

Madhyastha T, Cao Y, Sujitnapisatham S, Presnyakov G, Chaovalitwongse WA, Grabowski T; for the Alzheimer's Disease Neuroimaging Initiative.

J Radiol Radiat Ther. 2013 Oct 23;1(2):1012.

21.

Dynamic connectivity at rest predicts attention task performance.

Madhyastha TM, Askren MK, Boord P, Grabowski TJ.

Brain Connect. 2015 Feb;5(1):45-59. doi: 10.1089/brain.2014.0248. Epub 2014 Aug 19.

22.

Longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging.

Madhyastha T, Mérillat S, Hirsiger S, Bezzola L, Liem F, Grabowski T, Jäncke L.

Hum Brain Mapp. 2014 Sep;35(9):4544-55. doi: 10.1002/hbm.22493. Epub 2014 Apr 3.

PMID:
24700773
23.

Age-related differences in the dynamic architecture of intrinsic networks.

Madhyastha TM, Grabowski TJ.

Brain Connect. 2014 May;4(4):231-41. doi: 10.1089/brain.2013.0205. Epub 2014 Jan 30.

24.

The association between higher order abilities, processing speed, and age are variably mediated by white matter integrity during typical aging.

Borghesani PR, Madhyastha TM, Aylward EH, Reiter MA, Swarny BR, Schaie KW, Willis SL.

Neuropsychologia. 2013 Jul;51(8):1435-44. doi: 10.1016/j.neuropsychologia.2013.03.005. Epub 2013 Mar 16.

25.

Investigating spousal influence using moment-to-moment affect data from marital conflict.

Madhyastha TM, Hamaker EL, Gottman JM.

J Fam Psychol. 2011 Apr;25(2):292-300. doi: 10.1037/a0023028.

PMID:
21480708
26.

Midlife memory improvement predicts preservation of hippocampal volume in old age.

Borghesani PR, Weaver KE, Aylward EH, Richards AL, Madhyastha TM, Kahn AR, Liang O, Ellenbogen RL, Beg MF, Schaie KW, Willis SL.

Neurobiol Aging. 2012 Jul;33(7):1148-55. doi: 10.1016/j.neurobiolaging.2010.09.026. Epub 2010 Nov 12.

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