Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects in a Sample at Clinical High Risk for Psychosis From the NAPLS Consortium Assessed With the Human Startle Paradigm
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Cadenhead, K.S, et al. Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects In a Sample At Clinical High Risk for Psychosis From the Napls Consortium Assessed With the Human Startle Paradigm. Frontiers Media S.A., 2020. https://doi.org/10.17615/b43j-0345APA
Cadenhead, K., Duncan, E., Addington, J., Bearden, C., Cannon, T., Cornblatt, B., Mathalon, D., Mc Glashan, T., Perkins, D., Seidman, L., Tsuang, M., Walker, E., Woods, S., Bauchman, P., Belger, A., Carrión, R., Donkers, F., Johannesen, J., Light, G., Niznikiewicz, M., Nunag, J., Roach, B., & American Prodromal Longitudinal Studies Consortium, N. (2020). Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects in a Sample at Clinical High Risk for Psychosis From the NAPLS Consortium Assessed With the Human Startle Paradigm. Frontiers Media S.A. https://doi.org/10.17615/b43j-0345Chicago
Cadenhead, K.S., E Duncan, J Addington, C Bearden, T.D Cannon, B.A Cornblatt, D Mathalon et al. 2020. Evidence of Slow Neural Processing, Developmental Differences and Sensitivity to Cannabis Effects In a Sample At Clinical High Risk for Psychosis From the Napls Consortium Assessed With the Human Startle Paradigm. Frontiers Media S.A.. https://doi.org/10.17615/b43j-0345- Creator
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Cadenhead, K.S.
- Other Affiliation: University of California San Diego
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Duncan, E.
- Other Affiliation: Emory University School of Medicine
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Addington, J.
- Other Affiliation: University of Calgary
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Bearden, C.
- Other Affiliation: University of California Los Angeles
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Cannon, T.D.
- Other Affiliation: Yale University
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Cornblatt, B.A.
- Other Affiliation: The Zucker Hillside Hospital
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Mathalon, D.
- Other Affiliation: University of California, San Francisco
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McGlashan, T.H.
- Other Affiliation: Yale University
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Perkins, D.O.
- Affiliation: University of North Carolina at Chapel Hill
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Seidman, L.J.
- Other Affiliation: Harvard University
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Tsuang, M.
- Other Affiliation: University of California San Diego
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Walker, E.F.
- Other Affiliation: Atlanta Veterans Affairs Healthcare System
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Woods, S.W.
- Other Affiliation: Yale University
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Bauchman, P.
- Other Affiliation: San Francisco VA Medical Center
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Belger, A.
- Affiliation: University of North Carolina at Chapel Hill
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Carrión, R.E.
- Other Affiliation: The Feinstein Institute for Medical Research
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Donkers, F.
- Affiliation: University of North Carolina at Chapel Hill
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Johannesen, J.
- Other Affiliation: Yale University
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Light, G.
- Other Affiliation: University of California San Diego
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Niznikiewicz, M.
- Other Affiliation: Harvard University
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Nunag, J.
- Other Affiliation: University of California San Diego
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Roach, B.
- Other Affiliation: University of California, San Francisco
- North American Prodromal Longitudinal Studies Consortium
- Abstract
- Biomarkers are important in the study of the prodromal period of psychosis because they can help to identify individuals at greatest risk for future psychotic illness and provide insights into disease mechanism underlying neurodevelopmental abnormalities. The biomarker abnormalities can then be targeted with treatment, with an aim toward prevention or mitigation of disease. The human startle paradigm has been used in translational studies of psychopathology including psychotic illness to assess preattentive information processing for over 50 years. In one of the largest studies to date in clinical high risk (CHR) for psychosis participants, we aimed to evaluate startle indices as biomarkers of risk along with the role of age, sex, treatment, and substance use in this population of high risk individuals. Methods: Startle response reactivity, latency, and prepulse inhibition (PPI) were assessed in 543 CHR and 218 Normal Comparison (NC) participants between the ages of 12 and 35. Results: At 1 year follow-up, 58 CHR participants had converted to psychosis. CHR and NC groups did not differ across any of the startle measures but those CHR participants who later converted to psychosis had significantly slower startle latency than did those who did not convert to psychosis, and this effect was driven by female CHR participants. PPI was significantly associated with age in the CHR, but not the NC, participants with the greatest positive age correlations present in those CHR participants who later converted to psychosis, consistent with a prior report. Finally, there was a significant group by cannabis use interaction due to greater PPI in cannabis users and opposite PPI group effects in users (CHR>NC) and non-users (NC>CHR). Discussion: This is the first study to demonstrate a relationship of startle response latency to psychotic conversion in a CHR population. PPI is an important biomarker that may be sensitive to the neurodevelopmental abnormalities thought to be present in psychosis prone individuals and the effects of cannabis. The significant correlations with age in this sample as well as the finding of greater PPI in CHR cannabis users replicate findings from another large sample of CHR participants.
- Date of publication
- 2020
- Keyword
- DOI
- Identifier
- Resource type
- Article
- Rights statement
- In Copyright
- License
- Attribution 3.0 United States
- Journal title
- Frontiers in Psychiatry
- Journal volume
- 11
- Language
- English
- Version
- Publisher
- ISSN
- 1664-0640
- Publisher
- Frontiers Media S.A.
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