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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

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 th...

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Autores principales: Cadenhead, Kristin S., Duncan, Erica, Addington, Jean, Bearden, Carrie, Cannon, Tyrone D., Cornblatt, Barbara A., Mathalon, Dan, McGlashan, Thomas H., Perkins, Diana O., Seidman, Larry J., Tsuang, Ming, Walker, Elaine F., Woods, Scott W., Bauchman, Peter, Belger, Ayse, Carrión, Ricardo E., Donkers, Franc, Johannesen, Jason, Light, Gregory, Niznikiewicz, Margaret, Nunag, Jason, Roach, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479820/
https://www.ncbi.nlm.nih.gov/pubmed/33005152
http://dx.doi.org/10.3389/fpsyt.2020.00833
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author Cadenhead, Kristin S.
Duncan, Erica
Addington, Jean
Bearden, Carrie
Cannon, Tyrone D.
Cornblatt, Barbara A.
Mathalon, Dan
McGlashan, Thomas H.
Perkins, Diana O.
Seidman, Larry J.
Tsuang, Ming
Walker, Elaine F.
Woods, Scott W.
Bauchman, Peter
Belger, Ayse
Carrión, Ricardo E.
Donkers, Franc
Johannesen, Jason
Light, Gregory
Niznikiewicz, Margaret
Nunag, Jason
Roach, Brian
author_facet Cadenhead, Kristin S.
Duncan, Erica
Addington, Jean
Bearden, Carrie
Cannon, Tyrone D.
Cornblatt, Barbara A.
Mathalon, Dan
McGlashan, Thomas H.
Perkins, Diana O.
Seidman, Larry J.
Tsuang, Ming
Walker, Elaine F.
Woods, Scott W.
Bauchman, Peter
Belger, Ayse
Carrión, Ricardo E.
Donkers, Franc
Johannesen, Jason
Light, Gregory
Niznikiewicz, Margaret
Nunag, Jason
Roach, Brian
author_sort Cadenhead, Kristin S.
collection PubMed
description 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.
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spelling pubmed-74798202020-09-30 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 Cadenhead, Kristin S. Duncan, Erica Addington, Jean Bearden, Carrie Cannon, Tyrone D. Cornblatt, Barbara A. Mathalon, Dan McGlashan, Thomas H. Perkins, Diana O. Seidman, Larry J. Tsuang, Ming Walker, Elaine F. Woods, Scott W. Bauchman, Peter Belger, Ayse Carrión, Ricardo E. Donkers, Franc Johannesen, Jason Light, Gregory Niznikiewicz, Margaret Nunag, Jason Roach, Brian Front Psychiatry Psychiatry 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. Frontiers Media S.A. 2020-08-25 /pmc/articles/PMC7479820/ /pubmed/33005152 http://dx.doi.org/10.3389/fpsyt.2020.00833 Text en Copyright © 2020 Cadenhead, Duncan, Addington, Bearden, Cannon, Cornblatt, Mathalon, McGlashan, Perkins, Seidman, Tsuang, Walker, Woods, Bauchman, Belger, Carrión, Donkers, Johannesen, Light, Niznikiewicz, Nunag and Roach http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Cadenhead, Kristin S.
Duncan, Erica
Addington, Jean
Bearden, Carrie
Cannon, Tyrone D.
Cornblatt, Barbara A.
Mathalon, Dan
McGlashan, Thomas H.
Perkins, Diana O.
Seidman, Larry J.
Tsuang, Ming
Walker, Elaine F.
Woods, Scott W.
Bauchman, Peter
Belger, Ayse
Carrión, Ricardo E.
Donkers, Franc
Johannesen, Jason
Light, Gregory
Niznikiewicz, Margaret
Nunag, Jason
Roach, Brian
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479820/
https://www.ncbi.nlm.nih.gov/pubmed/33005152
http://dx.doi.org/10.3389/fpsyt.2020.00833
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