Jason W. Bohland

Affiliations: 
Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 
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"Jason Bohland"
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Parents

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Frank Guenther grad student 2000-2007 Boston University
 (Neuroimaging and computational modeling of syllable sequence production.)
Partha Pratim Mitra post-doc 2007- CSHL
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Publications

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Malloy JR, Nistal D, Heyne M, et al. (2022) Delayed Auditory Feedback Elicits Specific Patterns of Serial Order Errors in a Paced Syllable Sequence Production Task. Journal of Speech, Language, and Hearing Research : Jslhr. 1-22
Tomassi NE, Weerathunge HR, Cushman MR, et al. (2021) Assessing Ecologically Valid Methods of Auditory Feedback Measurement in Individuals With Typical Speech. Journal of Speech, Language, and Hearing Research : Jslhr. 1-15
Cler GJ, Lee JC, Mittelman T, et al. (2017) Kinematic Analysis of Speech Sound Sequencing Errors Induced by Delayed Auditory Feedback. Journal of Speech, Language, and Hearing Research : Jslhr. 60: 1695-1711
Markiewicz CJ, Bohland JW. (2016) Mapping the cortical representation of speech sounds in a syllable repetition task. Neuroimage
Bohland JW. (2016) Toward a Multimodal, Multiscale Understanding of White Matter Abnormalities in Autism Spectrum Disorder. Biological Psychiatry. 79: e47-8
Sandberg CW, Bohland JW, Kiran S. (2015) Changes in functional connectivity related to direct training and generalization effects of a word finding treatment in chronic aphasia. Brain and Language. 150: 103-116
Guenther FH, Tourville JA, Bohland JW. (2015) Speech Production Brain Mapping: An Encyclopedic Reference. 3: 435-444
Grange P, Bohland JW, Okaty BW, et al. (2014) Cell-type-based model explaining coexpression patterns of genes in the brain. Proceedings of the National Academy of Sciences of the United States of America. 111: 5397-402
Bohland JW, Myers EM, Kim E. (2014) An informatics approach to integrating genetic and neurological data in speech and language neuroscience. Neuroinformatics. 12: 39-62
Bohland JW, Saperstein S, Pereira F, et al. (2012) Network, anatomical, and non-imaging measures for the prediction of ADHD diagnosis in individual subjects. Frontiers in Systems Neuroscience. 6: 78
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