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Normative modeling of brain morphometry in Clinical High-Risk for Psychosis
IMPORTANCE: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in the majority of individuals at psychosis risk may be nested within the range observed in healthy in...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882206/ https://www.ncbi.nlm.nih.gov/pubmed/36711551 http://dx.doi.org/10.1101/2023.01.17.523348 |
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author | Haas, Shalaila S Ge, Ruiyang Agartz, Ingrid Amminger, G. Paul Andreassen, Ole A Bachman, Peter Baeza, Inmaculada Choi, Sunah Colibazzi, Tiziano Cropley, Vanessa L de la Fuente-Sandoval, Camilo Ebdrup, Bjørn H Fortea, Adriana Fusar-Poli, Paolo Glenthøj, Birte Yding Glenthøj, Louise Birkedal Haut, Kristen M Hayes, Rebecca A Heekeren, Karsten Hooker, Christine I Hwang, Wu Jeong Jahanshad, Neda Kaess, Michael Kasai, Kiyoto Katagiri, Naoyuki Kim, Minah Kindler, Jochen Koike, Shinsuke Kristensen, Tina D Kwon, Jun Soo Lawrie, Stephen M Lee, Jimmy Lemmers-Jansen, Imke LJ Lin, Ashleigh Ma, Xiaoqian Mathalon, Daniel H McGuire, Philip Michel, Chantal Mizrahi, Romina Mizuno, Masafumi Møller, Paul Mora-Durán, Ricardo Nelson, Barnaby Nemoto, Takahiro Nordentoft, Merete Nordholm, Dorte Omelchenko, Maria A Pantelis, Christos Pariente, Jose C Raghava, Jayachandra M Reyes-Madrigal, Francisco Røssberg, Jan I Rössler, Wulf Salisbury, Dean F Sasabayashi, Daiki Schall, Ulrich Smigielski, Lukasz Sugranyes, Gisela Suzuki, Michio Takahashi, Tsutomu Tamnes, Christian K Theodoridou, Anastasia Thomopoulos, Sophia I Thompson, Paul M Tomyshev, Alexander S Uhlhaas, Peter J Værnes, Tor G van Amelsvoort, Therese AMJ van Erp, Theo GM Waltz, James A Wenneberg, Christina Westlye, Lars T Wood, Stephen J Zhou, Juan H Hernaus, Dennis Jalbrzikowski, Maria Kahn, René S Corcoran, Cheryl M Frangou, Sophia |
author_facet | Haas, Shalaila S Ge, Ruiyang Agartz, Ingrid Amminger, G. Paul Andreassen, Ole A Bachman, Peter Baeza, Inmaculada Choi, Sunah Colibazzi, Tiziano Cropley, Vanessa L de la Fuente-Sandoval, Camilo Ebdrup, Bjørn H Fortea, Adriana Fusar-Poli, Paolo Glenthøj, Birte Yding Glenthøj, Louise Birkedal Haut, Kristen M Hayes, Rebecca A Heekeren, Karsten Hooker, Christine I Hwang, Wu Jeong Jahanshad, Neda Kaess, Michael Kasai, Kiyoto Katagiri, Naoyuki Kim, Minah Kindler, Jochen Koike, Shinsuke Kristensen, Tina D Kwon, Jun Soo Lawrie, Stephen M Lee, Jimmy Lemmers-Jansen, Imke LJ Lin, Ashleigh Ma, Xiaoqian Mathalon, Daniel H McGuire, Philip Michel, Chantal Mizrahi, Romina Mizuno, Masafumi Møller, Paul Mora-Durán, Ricardo Nelson, Barnaby Nemoto, Takahiro Nordentoft, Merete Nordholm, Dorte Omelchenko, Maria A Pantelis, Christos Pariente, Jose C Raghava, Jayachandra M Reyes-Madrigal, Francisco Røssberg, Jan I Rössler, Wulf Salisbury, Dean F Sasabayashi, Daiki Schall, Ulrich Smigielski, Lukasz Sugranyes, Gisela Suzuki, Michio Takahashi, Tsutomu Tamnes, Christian K Theodoridou, Anastasia Thomopoulos, Sophia I Thompson, Paul M Tomyshev, Alexander S Uhlhaas, Peter J Værnes, Tor G van Amelsvoort, Therese AMJ van Erp, Theo GM Waltz, James A Wenneberg, Christina Westlye, Lars T Wood, Stephen J Zhou, Juan H Hernaus, Dennis Jalbrzikowski, Maria Kahn, René S Corcoran, Cheryl M Frangou, Sophia |
author_sort | Haas, Shalaila S |
collection | PubMed |
description | IMPORTANCE: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in the majority of individuals at psychosis risk may be nested within the range observed in healthy individuals. OBJECTIVE: To quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high-risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder. DESIGN, SETTING, AND PARTICIPANTS: Clinical, IQ and FreeSurfer-derived regional measures of cortical thickness (CT), cortical surface area (SA), and subcortical volume (SV) from 1,340 CHR-P individuals [47.09% female; mean age: 20.75 (4.74) years] and 1,237 healthy individuals [44.70% female; mean age: 22.32 (4.95) years] from 29 international sites participating in the ENIGMA Clinical High Risk for Psychosis Working Group. MAIN OUTCOMES AND MEASURES: For each regional morphometric measure, z-scores were computed that index the degree of deviation from the normative means of that measure in a healthy reference population (N=37,407). Average deviation scores (ADS) for CT, SA, SV, and globally across all measures (G) were generated by averaging the respective regional z-scores. Regression analyses were used to quantify the association of deviation scores with clinical severity and cognition and two-proportion z-tests to identify case-control differences in the proportion of individuals with infranormal (z<−1.96) or supranormal (z>1.96) scores. RESULTS: CHR-P and healthy individuals overlapped in the distributions of the observed values, regional z-scores, and all ADS vales. The proportion of CHR-P individuals with infranormal or supranormal values in any metric was low (<12%) and similar to that of healthy individuals. CHR-P individuals who converted to psychosis compared to those who did not convert had a higher percentage of infranormal values in temporal regions (5–7% vs 0.9–1.4%). In the CHR-P group, only the ADS(SA) showed significant but weak associations (|β|<0.09; P(FDR)<0.05) with positive symptoms and IQ. CONCLUSIONS AND RELEVANCE: The study findings challenge the usefulness of macroscale neuromorphometric measures as diagnostic biomarkers of psychosis risk and suggest that such measures do not provide an adequate explanation for psychosis risk. |
format | Online Article Text |
id | pubmed-9882206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-98822062023-01-28 Normative modeling of brain morphometry in Clinical High-Risk for Psychosis Haas, Shalaila S Ge, Ruiyang Agartz, Ingrid Amminger, G. Paul Andreassen, Ole A Bachman, Peter Baeza, Inmaculada Choi, Sunah Colibazzi, Tiziano Cropley, Vanessa L de la Fuente-Sandoval, Camilo Ebdrup, Bjørn H Fortea, Adriana Fusar-Poli, Paolo Glenthøj, Birte Yding Glenthøj, Louise Birkedal Haut, Kristen M Hayes, Rebecca A Heekeren, Karsten Hooker, Christine I Hwang, Wu Jeong Jahanshad, Neda Kaess, Michael Kasai, Kiyoto Katagiri, Naoyuki Kim, Minah Kindler, Jochen Koike, Shinsuke Kristensen, Tina D Kwon, Jun Soo Lawrie, Stephen M Lee, Jimmy Lemmers-Jansen, Imke LJ Lin, Ashleigh Ma, Xiaoqian Mathalon, Daniel H McGuire, Philip Michel, Chantal Mizrahi, Romina Mizuno, Masafumi Møller, Paul Mora-Durán, Ricardo Nelson, Barnaby Nemoto, Takahiro Nordentoft, Merete Nordholm, Dorte Omelchenko, Maria A Pantelis, Christos Pariente, Jose C Raghava, Jayachandra M Reyes-Madrigal, Francisco Røssberg, Jan I Rössler, Wulf Salisbury, Dean F Sasabayashi, Daiki Schall, Ulrich Smigielski, Lukasz Sugranyes, Gisela Suzuki, Michio Takahashi, Tsutomu Tamnes, Christian K Theodoridou, Anastasia Thomopoulos, Sophia I Thompson, Paul M Tomyshev, Alexander S Uhlhaas, Peter J Værnes, Tor G van Amelsvoort, Therese AMJ van Erp, Theo GM Waltz, James A Wenneberg, Christina Westlye, Lars T Wood, Stephen J Zhou, Juan H Hernaus, Dennis Jalbrzikowski, Maria Kahn, René S Corcoran, Cheryl M Frangou, Sophia bioRxiv Article IMPORTANCE: The lack of robust neuroanatomical markers of psychosis risk has been traditionally attributed to heterogeneity. A complementary hypothesis is that variation in neuroanatomical measures in the majority of individuals at psychosis risk may be nested within the range observed in healthy individuals. OBJECTIVE: To quantify deviations from the normative range of neuroanatomical variation in individuals at clinical high-risk for psychosis (CHR-P) and evaluate their overlap with healthy variation and their association with positive symptoms, cognition, and conversion to a psychotic disorder. DESIGN, SETTING, AND PARTICIPANTS: Clinical, IQ and FreeSurfer-derived regional measures of cortical thickness (CT), cortical surface area (SA), and subcortical volume (SV) from 1,340 CHR-P individuals [47.09% female; mean age: 20.75 (4.74) years] and 1,237 healthy individuals [44.70% female; mean age: 22.32 (4.95) years] from 29 international sites participating in the ENIGMA Clinical High Risk for Psychosis Working Group. MAIN OUTCOMES AND MEASURES: For each regional morphometric measure, z-scores were computed that index the degree of deviation from the normative means of that measure in a healthy reference population (N=37,407). Average deviation scores (ADS) for CT, SA, SV, and globally across all measures (G) were generated by averaging the respective regional z-scores. Regression analyses were used to quantify the association of deviation scores with clinical severity and cognition and two-proportion z-tests to identify case-control differences in the proportion of individuals with infranormal (z<−1.96) or supranormal (z>1.96) scores. RESULTS: CHR-P and healthy individuals overlapped in the distributions of the observed values, regional z-scores, and all ADS vales. The proportion of CHR-P individuals with infranormal or supranormal values in any metric was low (<12%) and similar to that of healthy individuals. CHR-P individuals who converted to psychosis compared to those who did not convert had a higher percentage of infranormal values in temporal regions (5–7% vs 0.9–1.4%). In the CHR-P group, only the ADS(SA) showed significant but weak associations (|β|<0.09; P(FDR)<0.05) with positive symptoms and IQ. CONCLUSIONS AND RELEVANCE: The study findings challenge the usefulness of macroscale neuromorphometric measures as diagnostic biomarkers of psychosis risk and suggest that such measures do not provide an adequate explanation for psychosis risk. Cold Spring Harbor Laboratory 2023-01-18 /pmc/articles/PMC9882206/ /pubmed/36711551 http://dx.doi.org/10.1101/2023.01.17.523348 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Haas, Shalaila S Ge, Ruiyang Agartz, Ingrid Amminger, G. Paul Andreassen, Ole A Bachman, Peter Baeza, Inmaculada Choi, Sunah Colibazzi, Tiziano Cropley, Vanessa L de la Fuente-Sandoval, Camilo Ebdrup, Bjørn H Fortea, Adriana Fusar-Poli, Paolo Glenthøj, Birte Yding Glenthøj, Louise Birkedal Haut, Kristen M Hayes, Rebecca A Heekeren, Karsten Hooker, Christine I Hwang, Wu Jeong Jahanshad, Neda Kaess, Michael Kasai, Kiyoto Katagiri, Naoyuki Kim, Minah Kindler, Jochen Koike, Shinsuke Kristensen, Tina D Kwon, Jun Soo Lawrie, Stephen M Lee, Jimmy Lemmers-Jansen, Imke LJ Lin, Ashleigh Ma, Xiaoqian Mathalon, Daniel H McGuire, Philip Michel, Chantal Mizrahi, Romina Mizuno, Masafumi Møller, Paul Mora-Durán, Ricardo Nelson, Barnaby Nemoto, Takahiro Nordentoft, Merete Nordholm, Dorte Omelchenko, Maria A Pantelis, Christos Pariente, Jose C Raghava, Jayachandra M Reyes-Madrigal, Francisco Røssberg, Jan I Rössler, Wulf Salisbury, Dean F Sasabayashi, Daiki Schall, Ulrich Smigielski, Lukasz Sugranyes, Gisela Suzuki, Michio Takahashi, Tsutomu Tamnes, Christian K Theodoridou, Anastasia Thomopoulos, Sophia I Thompson, Paul M Tomyshev, Alexander S Uhlhaas, Peter J Værnes, Tor G van Amelsvoort, Therese AMJ van Erp, Theo GM Waltz, James A Wenneberg, Christina Westlye, Lars T Wood, Stephen J Zhou, Juan H Hernaus, Dennis Jalbrzikowski, Maria Kahn, René S Corcoran, Cheryl M Frangou, Sophia Normative modeling of brain morphometry in Clinical High-Risk for Psychosis |
title | Normative modeling of brain morphometry in Clinical High-Risk for Psychosis |
title_full | Normative modeling of brain morphometry in Clinical High-Risk for Psychosis |
title_fullStr | Normative modeling of brain morphometry in Clinical High-Risk for Psychosis |
title_full_unstemmed | Normative modeling of brain morphometry in Clinical High-Risk for Psychosis |
title_short | Normative modeling of brain morphometry in Clinical High-Risk for Psychosis |
title_sort | normative modeling of brain morphometry in clinical high-risk for psychosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882206/ https://www.ncbi.nlm.nih.gov/pubmed/36711551 http://dx.doi.org/10.1101/2023.01.17.523348 |
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