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Mr. Bockholt is responsible for coordinating the massive amounts of Mind generated neuroinformatics data so that data can be exchanged congruently across platforms with multi-modal capability.
His research interests include high-resolution morphometry of normal and disease populations, as well as multi-modal analytical and visualization techniques.
Education • B.S., Biology and Psychology, University of Iowa • M.S. in progress, Software Engineering, Capella University
Positions • 1991-1994 Student Research Assistant, University of Iowa, Iowa City, IA • 1994 Graduated Psi Chi, University of Iowa, Iowa City, IA. • 1994 Graduated with Honors, University of Iowa, Iowa City, IA • 1996-1998 Research Assistant I, University of Iowa, Iowa City, IA • 1998-1999 Research Assistant II, University of Iowa, Iowa City, IA • 1999-2000 Database Analyst I, University of Iowa, Iowa City, IA • 2000 Programmer/Analyst, Maxim Group, Roseville, MN • 2000-2001 Web Applications Developer, RecruitUSA, Inc, Minneapolis, MN • 2001-2002 Computer Consultant I, University of Iowa, Iowa City, IA • 2002-2003 Senior System Analyst, The MIND Research Network, Albuquerque, NM • 2003-2005 Database Manager, The MIND Research Network, Albuquerque, NM • 2005-2006 Director of Research Infrastructure, The MIND Research Network, Albuquerque, NM • 2006-present Director of Morphometry and Neuroinformatics, The MIND Institute, Albuquerque, NM
Selected Peer-Reviewed Publications 1. Travis KA, Bockholt HJ, Zardetto-Smith AM, Johnson AK. In-Vitro Thermosensitivity of the Midline Thalamus. Brain Res. (1995) Jul 17; 686(1):17-22.
2. Harris, G., N.C. Andreasen, T. Cizadlo, J. Bailey, H.J. Bockholt, V. Magnotta and S. Arndt: Improving Tissue Classification in MRI: A Three-Dimensional Multispectral Discriminate Analysis Method with Automated Training Class Selection. Journal of Computed Assisted Tomography (1999) Jan-Feb; 23(1): 144-154.
3. Crespo-Facorro, B., J. Kim, N.C. Andreasen, R. Spinks, D.S. O'Leary, H.J. Bockholt, G. Harris and V.A. Magnotta: Cerebral cortex: A Topographic Segmentation Method Using Magnetic Resonance Imaging. Psychiatry Research: (2000) Dec 4;100 (2):97-126.
4. Crespo-Facorro, B., J.J. Kim, N.C. Andreasen, D.S. O'Leary, H.J. Bockholt and V.A. Magnotta: Insular Cortex Abnormalities in Schizophrenia: A Structural Magnetic Resonance Imaging Study of First-Episode Patients. Schizophrenia Research (2000) Nov 30; 46(1):35-43.
5. Pantel, J., D.S. O'Leary, K. Cretsinger, H.J. Bockholt, H. Keefe, V.A. Magnotta and N.C. Andreasen: A New Method for In Vivo Volumetric Measurement of the Human Hippocampus with High Neuroanatomical Accuracy. Hippocampus (2000); 10(6):752-758.
6. V. A. Magnotta, H. J. Bockholt, H. J. Johnson, G. E. Christensen, N. C. Andreasen: Subcortical, Cerebellar and MR-Based Consistent Brain Image Registration. Neuroimage. (2003) Jun; 19(2 Pt 1):233-45.
7. T. Song, G. Gasparovic, H. J. Bockholt, M. Huang, R. Lee, N. Andreasen: A Hybrid Tissue Segmentation Approach for Brain MR Images. Medical & Biological Eng & Computing. (2006) Mar; 44(3):242-9.
8. Aine CJ, Woodruff CC, Knoefel JE, Adair JC, Hudson D, Qualls C, Bockholt J, Best E, Kovacevic S, Cobb W, Padilla D, Hart B, Stephen JM. Aging: Compensation or Maturation? Neuroimage. (2006) Oct 1; 32(4): 1891-904.
9. C.Gasparovic, T. Song, D. Devier, H. J. Bockholt, A. Caprihan, P. Mullins, S. Posse, R. Jung, L. Morrison: The Use of Tissue Water as a Concentration Reference for Proton Spectroscopic Imaging. Magnetic Resonance in Medicine. (2006) Jun; 55(6):1219-26.
10. T. Van Erp, V. D. Calhoun, J.M. Segall, H.J. Bockholt, J. A. Turner, H. J. Johnson, D. N. Greve, D. O'Leary, J. Lauriello, C. G. Wible, K. O. Lim, B. A. Mueller, G. G. Brown, J. Voyvodic, G. McCarthy, G. Glover, J. M. Ford, S. G. Potkin: F. BIRN; Voxel-Based Morphometric Multi-Site Collaborative Study on Schizophrenia (In Process) Society for Neuroscience San Diego, CA, 2007.
11. Jung RE, Kalbfleisch ML, England RL, Bockholt, H.J., Barrow R, Segall JM, Paar MH, Smith SM, Chavez R, & Haier RJ. Neuroanatomy of Creativity. Presented at the 37th annual meeting of the Society for Neuroscience, San Diego, CA, 3 – 7 November 2007
12. Bockholt, H. J., Ling J, Scully M, Magnotta VA, Gollub RL, White T, Schulz SC, Lauriello J, Andreasen NC, MIND Clinical Imaging Consortium as a Case Study of Novel Multi-Center Neuroinformatics Software. International Congress on Schizophrenia Research, 2007
13. Caprihan A, Barrow R, Chavez R, Bockholt H.J. & Jung,R.E. Correlation of White Matter Integrity Measured by DTI with Intelligence, Personality, and Creativity in Healthy Subjects. Presented at the 14th Annual Meeting of the Organization for Human Brain Mapping, Melbourne, Australia, 15 – 19 June, 2008.
14. Keator DB, Grethe JS, Marcus D, Ozyurt B, Gadde S, Murphy S, Pieper S, Greve D., Notestine R,Bockholt HJ, Papadopoulos, P.: BIRN Function; BIRN Morphometry; BIRN-Coordinating. A National human neuroimaging collaboratory enabled by the Biomedical Informatics Research Network (BIRN). IEE Trans Inf Technol Biomed. (2008) Mar; 12(2): 162-72.
15. Friedman L, Stern H, Brown GG, Mathalon DH, Turner J, Glover GH, Gollub RL, Lauriello J, Lim KO, Cannon T, Greve DN, Bockholt HJ, Belger A, Mueller B, Doty MJ, He J, Wells W, Smyth P, Pieper S, Kim S, Kubicki M, Vangel M, Potkin S.G.: Test-Retest and Between-Site Reliability in a Multicenter fMRI Study. Human Brain Mapp. (2008) Aug; 29(8): 958-72.
16. Jung RE, Bockholt HJ, Segall J, Caprihan A, Chavez R, Smith S, & Kalbfleisch ML. Creative Achievement and Cortical Thickness in a Large Healthy Cohort. Presented at the 14th Annual Meeting of the Organization for Human Brain Mapping, Melbourne, Australia, 15 – 19 June, 2008.
17. Jung RE, Bockholt HJ, Segall J, Caprihan A, Smith S, Chavez R, Yeo RA, & Haier RJ. General Intelligence (g) and Intelligence in General (FSIQ) as Manifested in the Brain. Presented at the 14th Annual Meeting of the Organization for Human Brain Mapping, Melbourne, Australia, 15 – 19 June, 2008.
18. Judith Segall, Jeremy Bockholt, Ranee Barrow, Shirley Smith, Robert Chavez, Rex Jung. Positive and Negative Affect Measurement in Healthy Volunteers: A FreeSurfer Study of Cortical Thickness. CNS 2008
19. Shirly Smith, Judith Segall, Robert Chavez, Jeremy Bockholt, Rex Jung. Subcortical Volumetric Contributions to Mood Functioning in Normal Subjects. CNS 2008
20. Ruhl DA, Thoma RJ, Bockholt HJ, Monnig M, Jung RE, Lauriello J, & Bustillo J. Cerebellar Cortical Volume and Executive Functioning in Schizophrenia. Presented at the 36th Annual International Neuropsychological Society Meeting, Waikoloa, HI, 6 – 9 February, 2008.
21. Segall JM, Turner JA, van Erp TG, White T, Bockholt HJ, Gollub RL, Ho BC, Magnotta V, Jung RE, McCarley RW, Schulz SC, Lauriello J, Clark VP, Voyvodic JT, Diaz MT, Calhoun VD. Voxel-based Morphometric Multisite Collaborative Study on Schizophrenia. Schizophr Bull. 2009 Jan; 35(1):82-95. Epub 2008 Nov 7. PMCID: PMC2643956
22. Bockholt HJ, Scully M, Courtney W, Rachakonda S, Scott A, Caprihan A, Fries J, Kalyanam R, Segall J, de la Garza R, Lane S and Calhoun VD (2009) Mining the Mind Research Network: A Novel framework for exploring large scale, heterogeneous translational neuroscience research data sources. Front. Neuroinform. doi:10.3389/neuro.11.036.2009 (PMC In Process)
23. H. J. Bockholt, S. Williams, M. Scully, V. Magnotta, R. L. Gollub, J. Lauriello, K. Lim, T. White, R. Jung, S. C. Schulz, N. C. Andreasen, and V. D. Calhoun: The MIND Clinical Imaging Consortium as an Application for Novel Comprehensive Quality Assurance Procedures in a Multi-Site Heterogeneous Clinical Research Study. (PMC In Process) HBM, accepted for poster presentation.
Research Support Ongoing Research Support 5U24 RR021992-02 (PI: Potkin) 11/1/2003-10/31/2010 fBIRN: Functional Imaging Research for Schizophrenia Testbed (NIH/NCRR) The major goals of this project are to develop methods to compare, validate and correlate multiple functional and structural imaging (fMRI, mMRI, DWI, ASL) data sets collected across subjects (schizophrenic and controls) and sites. Role: Principle Investigator of Subaward
NBCHC090055 (PI: Weisend) 9/9/2009-3/8/2011 Brain Stimulation to Accelerate Learning of Threat Detection (DOD) Development of quantitative and integrative neuroscience-based approaches for measuring, tracking and accelerating learning of threat detection, decision-making, and accurate response in warfighters through use of virtual reality environments, multimodal brain imaging techniques, novel methods for detection and analysis of non-linear brain networks, and direct brain stimulation to enhance attention. Role: Co-Investigator
1R01 NS050568-01A2 (PI: Magnotta) 3/1/2007-2/28/2010 BRAINS Morphology and Image Analysis (NIH/NBIB) The BRAINS software, developed to study psychiatric and neurological disorders, contains a reliable and valid image processing pipeline for analyzing brain morphology. In this proposal we will fully automate this pipeline allowing for large scale imaging studies to be rapidly analyzed. Role: Principle Investigator of Subaward
1P41 RR01321 (PI: Kikinis) 9/1/2007-8/31/2010 Vascular Disorders as Driving Biological Problem: The Analysis of Brain Lesions in Neuropsychiatric Systemic Lupus Erythematosis (NIH/NIBIB, NAMIC) The major goals of this project are to produce methods for the time-series analysis of brain lesions in subjects with neuropsychiatric systemic lupus erythematosis. These methods will be implemented in the medical image visualization and analysis software tool Slicer, under development by the National Alliance for Medical Image Computing. Role: Principle Investigator of Subaward
3R01EB006841-01A1S1 (PI: Calhoun) 9/21/2007-5/31/2011 Multivariate methods for identifying multi-task/multimodal brain imaging biomarkers (NIBIB) To develop methods, based upon independent component analysis, for joint-statistical analysis of multi-task and multimodal brain data (functional MRI, DTI, structural MRI) to identify multimodal biomarkers. Role: Co-Investigator
1R21 MH080141-01A1 (PI: Aine) 12/1/2007-11/30/2009 Realistic Simulations and Empirical Data: MEG Reconstructions of Time (NIH/NIMH) Several MEG analysis algorithms are tested on realistic simulated and empirical data sets which will be made available to other investigators. Simulations and empirical data are available for 3 commercial MEG systems - Neuromag Vecterview 306, VSM CTF 275 Omega, 4-D Neuroimaging Magnes. Role: Co-Investigator
Completed Research Support U54 ED005149 (PI: Kikinis) 08/01/2007 – 7/31/2009 National Alliance-Medical Imaging Compuating (NAMIC) (RMI) (NIH) A major objective of this DBP will be the evaluation of existing tools and development of new tools within SLICER for the time series analysis of brain lesions in lupus. Role: Co-Investigator |