Jason Bohland, Ph.D.

Jason Bohland, PhD

Title
Assistant Professor, Department of Health Sciences
Programs in Human Physiology
Assistant Professor, Department of Speech, Language & Hearing Sciences
Faculty, Graduate Program for Neuroscience
Email
jbohland@bu.edu
Phone
617-353-9168
Education
PhD, Cognitive and Neural Systems, Boston University
MS, Electrical Engineering, University of Cincinnati
BS, Computer Engineering, University of Cincinnati
Website or Lab
Quantitative Neuroscience Laboratory
CV
Download CV

Courses Taught

  • SAR-HP151 Introduction to the Health and Rehabilitation Sciences

Provides a survey of health and rehabilitation topics and considers health care systems and their impact on society.  In a small group format, students discuss issues that arise from reading three books that address some important topics in health care and rehabilitation and complete a number of writing assignments.  The objectives in the course are to develop analysis skills and to learn specific content that provides a framework for understanding the role of health care professionals in the US and internationally, and to be able to communicate effectively about these topics.

  • SAR-HS361 / CAS-NE360 Introduction to Computational Neuroscience of Speech, Language, and Hearing

This course introduces the foundations of auditory perception including the mammalian auditory pathway, speech and language perception and production, auditory scene analysis, and music perception, from a computational perspective. The emphasis is on neural representations and computations, and models that describe these. Laboratory computer assignments elucidate functional properties of the systems studied.

Scholarly, Research, and/or Practice Interests

  • Quantitative studies of brain architecture
  • Neuroimaging
  • Neural bases of speech and language
  • Neuroinformatics
  • Computational neuroscience
  • Gene expression data analysis

Scholarship – Recent Presentations

  • “Data-driven studies of large-scale molecular and circuit architecture of the brain.”  Martinos Center for Biomedical Imaging, Massachusetts General Hospital, BrainMap Seminar Series, May 2012.
  • “Brain architecture and neuroinformatics: applications for speech and language systems.” Speech Science Featured Lecture, American Speech-Language-Hearing Association Convention, November, 2011.
  • “Informatics efforts linking gene expression data to speech / language brain systems.” USC International Workshop on Action, Language, and Neuroinformatics, July, 2011.
  • “Large-scale data driven approaches to understanding brain architecture,” Boston University Program in Neuroscience Seminar Series, Boston, MA, December, 2009.
  • “Neuroanatomy 2.0: Large scale approaches to understanding the organization of the brain,”Cold Spring Harbor Laboratory Labwide Seminar, March 2009.
  • “The Brain Architecture Project: Progress and Future Challenges,” Cold Spring Harbor Laboratory Banbury Meeting: The Architectural Logic of Mammalian CNS, Cold Spring Harbor, NY, May, 2008.
  • “Modeling and imaging of sequencing in speech production,” 10th International Conference on Cognitive & Neural Systems, Boston, MA, May, 2006.
  • “An fMRI investigation of syllable sequence production,” Massachusetts Institute of Technology Neurolinguistics Group Invited Speaker, Cambridge, MA, April, 2006.
  • “Neural substrates for syllable sequence planning and production,” Massachusetts Institute of Technology Speech Communication Group Seminar Series Invited Speaker, Cambridge, MA, March, 2006.
  • “Modeling the representation of speech sounds in auditory cortical areas.” 145th Meeting of the Acoustical Society of America, Nashville, TN, April, 2003.

Scholarship – Recent Publications

  • Bohland JW, Myers E, Kim E (in press). An informatics approach to integrating genetic and neurological data in speech and language neuroscience. Neuroinformatics.
  • Wolock S, Yates A, Petrill SA, Bohland JW, Blair C, Li N, Machiraju R, Huang K, Bartlett C (in press). Gene × smoking interactions on human brain gene expression: finding common mechanisms in adolescents and adults. Journal of Child Psychology and Psychiatry.
  • Bohland JW, Saperstein S, Pereira F, Grady L (2012). Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects.  Frontiers in Systems Neuroscience, 6: 78. PMID: 23267318.
  • Golfinopoulos E, Tourville JA, Bohland JW, Ghosh SS, Nieto-Castanon A, Guenther FH (2011).  fMRI investigation of unexpected somatosensory feedback perturbation during speech. NeuroImage. 55(3): 1324-39. PMID: 21195191.
  • Bohland JW, Bokil H, Pathak SD, Lee CK, Ng L, Lau C, Kuan C, Hawrylycz M, Mitra PP (2010). Clustering of spatial gene expression patterns in the mouse brain and comparison with classical neuroanatomy. Methods, 50(2), 105-112. PMID: 19733241.
  • Bohland JW, Bullock D, Guenther FH (2010). Neural representations and mechanisms for the performance of simple speech sequences. Journal of Cognitive Neuroscience, 22(7), 1504-1529. PMID: 19583476.
  • Bohland JW, Bokil H, Allen CB, Mitra PP (2009). The brain atlas concordance problem: quantitative comparison of anatomical parcellations. PLoS ONE, 4(9), e7200. PMID: 19787067.
  • Bohland JW, Wu C, Barbas H, Bokil H, Bota M, Breiter HC, Cline HT, Doyle JC, Freed PJ, Greenspan RJ, Haber SN, Hawrylycz M, Herrera DG, Hilgetag CC, Huang ZJ, Jones A, Jones EG, Karten HJ, Kleinfeld D, Kötter R, Lester HA, Lin JM, Mensh BD, Mikula S, Panksepp J, Price JL, Safdieh J, Saper CB, Schiff ND, Schmahmann JD, Stillman BW, Svoboda K, Swanson LW, Toga AW, Van Essen DC, Watson JD, Mitra PP (2009). A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale. PLoS Computational Biology, 5(3), e1000334. PMID: 19325892.
  • Ng L, Bernard A, Lau C, Overly CC, Dong HW, Kuan C, Pathak S, Sunkin SM, Dang C, Bohland JW, Bokil H, Mitra PP, Puelles L, Hohmann J, Anderson DJ, Lein ES, Jones AR, Hawrylycz M (2009). An anatomic gene expression atlas of the adult mouse brain. Nature Neuroscience, 12(3), 356-62.  PMID: 19219037.
  • Lin JM, Bohland JW, Andrews P, Burns GA, Allen CB, and Mitra PP (2008). An analysis of the abstracts presented at the annual meetings of the Society for Neuroscience from 2001 to 2006.PLoS ONE, 3(4), e2052. PMID: 18446237.
  • Bohland JW and Guenther FH (2006).  An fMRI investigation of syllable sequence production.NeuroImage, 32 (2), 821-841. PMID: 16730195.
  • Guenther FH and Bohland JW (2002).  Learning sound categories: a neural model and supporting experiments.  Acoustical Science and Technology, 23(4): 213-220.
  • Bohland JW and Minai AA (2001).  Efficient associative memory using small-world architecture. Neurocomputing, 38-40, 489-496.

Scholarship – Recent Activities

  • Faculty member for Neuroinformatics Summer Course at the Marine Biological Laboratory, Woods Hole, MA, 2007-2012.

Professional Activities

  • Member, Society for Neuroscience (SFN)
  • Member, Organization for Human Brain Mapping (HBM)
  • Member, Institute for Electrical and Electronics Engineers (IEEE)
  • Book Review Editor, Neural Networks

Awards and Honors

  • Junior Faculty Fellow, Rafik B. Hariri Institute for Computing and Computational Science & Engineering, 2012-2014
  • Competitively selected as Junior Fellow of the Hariri Institute for Computing and Computational Science and Engineering, Boston University, 2012
  • Competitively selected for participation in ASHA/NIDCD Lessons for Success Workshop, April 2012, Rockville, MD (fully funded fellowship), 2012
  • Featured Speech Science Lecturer, American Speech Language Hearing Association (ASHA) Convention, November 2011, San Diego, CA., 2011
  • Travel Award, Organization for Human Brain Mapping, 2004
  • President University Graduate Fellowship, Boston University, 2000
  • Special Service Award, University of Cincinnati, College of Engineering, 2000
  • M.S. Honors Program, University of Cincinnati, College of Engineering, 1998-2000

Other

  • Faculty Member in Boston University’s Graduate Program for Neuroscience (GPN) andComputational Neuroscience Specialization
  • Faculty Member in Boston University’s Center of Excellence for Learning in Education, Science and Technology (CELEST)
  • Faculty Member in Boston University’s Center for Computational Neuroscience and Neural Technology (CompNet)
  • Maintains an active collaboration with the Mitra Lab at Cold Spring Harbor Laboratory to systematically map and quantify the mesoscopic neuroanatomical connectivity patterns in the mouse brain.
  • Interested in high school science education; invited to speak to high school students about neuroscience in Ohio and New York.