MICEmi: A method to identify cognitive endophenotypes of mental illnesses

Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition t...
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Autor*in:	Patricia Correa-Ghisays [verfasserIn] Joan Vicent Sánchez-Ortí [verfasserIn] Vicent Balanzá-Martínez [verfasserIn] Inmaculada Fuentes-Durá [verfasserIn] Anabel Martinez-Aran [verfasserIn] Lara Ruiz-Bolo [verfasserIn] Paulina Correa-Estrada [verfasserIn] Juan Carlos Ruiz-Ruiz [verfasserIn] Gabriel Selva-Vera [verfasserIn] Joan Vila-Francés [verfasserIn] Diego Macias Saint-Gerons [verfasserIn] Constanza San-Martín [verfasserIn] Rosa Ayesa-Arriola [verfasserIn] Rafael Tabarés-Seisdedos [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Mental illness methodology design neurocognitive endophenotype

Übergeordnetes Werk:	In: European Psychiatry - Cambridge University Press, 2020, 65(2022)
Übergeordnetes Werk:	volume:65 ; year:2022

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1192/j.eurpsy.2022.2348

Katalog-ID:	DOAJ088114317

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520			\|a Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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allfields_unstemmed	10.1192/j.eurpsy.2022.2348 doi (DE-627)DOAJ088114317 (DE-599)DOAJ9292ea0b3ef0414b8bca3991272cd72b DE-627 ger DE-627 rakwb eng RC435-571 Patricia Correa-Ghisays verfasserin aut MICEmi: A method to identify cognitive endophenotypes of mental illnesses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research. Mental illness methodology design neurocognitive endophenotype Psychiatry Joan Vicent Sánchez-Ortí verfasserin aut Vicent Balanzá-Martínez verfasserin aut Inmaculada Fuentes-Durá verfasserin aut Anabel Martinez-Aran verfasserin aut Lara Ruiz-Bolo verfasserin aut Paulina Correa-Estrada verfasserin aut Juan Carlos Ruiz-Ruiz verfasserin aut Gabriel Selva-Vera verfasserin aut Joan Vila-Francés verfasserin aut Diego Macias Saint-Gerons verfasserin aut Constanza San-Martín verfasserin aut Rosa Ayesa-Arriola verfasserin aut Rafael Tabarés-Seisdedos verfasserin aut In European Psychiatry Cambridge University Press, 2020 65(2022) (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:65 year:2022 https://doi.org/10.1192/j.eurpsy.2022.2348 kostenfrei https://doaj.org/article/9292ea0b3ef0414b8bca3991272cd72b kostenfrei https://www.cambridge.org/core/product/identifier/S0924933822023483/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 65 2022
allfieldsGer	10.1192/j.eurpsy.2022.2348 doi (DE-627)DOAJ088114317 (DE-599)DOAJ9292ea0b3ef0414b8bca3991272cd72b DE-627 ger DE-627 rakwb eng RC435-571 Patricia Correa-Ghisays verfasserin aut MICEmi: A method to identify cognitive endophenotypes of mental illnesses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research. Mental illness methodology design neurocognitive endophenotype Psychiatry Joan Vicent Sánchez-Ortí verfasserin aut Vicent Balanzá-Martínez verfasserin aut Inmaculada Fuentes-Durá verfasserin aut Anabel Martinez-Aran verfasserin aut Lara Ruiz-Bolo verfasserin aut Paulina Correa-Estrada verfasserin aut Juan Carlos Ruiz-Ruiz verfasserin aut Gabriel Selva-Vera verfasserin aut Joan Vila-Francés verfasserin aut Diego Macias Saint-Gerons verfasserin aut Constanza San-Martín verfasserin aut Rosa Ayesa-Arriola verfasserin aut Rafael Tabarés-Seisdedos verfasserin aut In European Psychiatry Cambridge University Press, 2020 65(2022) (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:65 year:2022 https://doi.org/10.1192/j.eurpsy.2022.2348 kostenfrei https://doaj.org/article/9292ea0b3ef0414b8bca3991272cd72b kostenfrei https://www.cambridge.org/core/product/identifier/S0924933822023483/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 65 2022
allfieldsSound	10.1192/j.eurpsy.2022.2348 doi (DE-627)DOAJ088114317 (DE-599)DOAJ9292ea0b3ef0414b8bca3991272cd72b DE-627 ger DE-627 rakwb eng RC435-571 Patricia Correa-Ghisays verfasserin aut MICEmi: A method to identify cognitive endophenotypes of mental illnesses 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research. Mental illness methodology design neurocognitive endophenotype Psychiatry Joan Vicent Sánchez-Ortí verfasserin aut Vicent Balanzá-Martínez verfasserin aut Inmaculada Fuentes-Durá verfasserin aut Anabel Martinez-Aran verfasserin aut Lara Ruiz-Bolo verfasserin aut Paulina Correa-Estrada verfasserin aut Juan Carlos Ruiz-Ruiz verfasserin aut Gabriel Selva-Vera verfasserin aut Joan Vila-Francés verfasserin aut Diego Macias Saint-Gerons verfasserin aut Constanza San-Martín verfasserin aut Rosa Ayesa-Arriola verfasserin aut Rafael Tabarés-Seisdedos verfasserin aut In European Psychiatry Cambridge University Press, 2020 65(2022) (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:65 year:2022 https://doi.org/10.1192/j.eurpsy.2022.2348 kostenfrei https://doaj.org/article/9292ea0b3ef0414b8bca3991272cd72b kostenfrei https://www.cambridge.org/core/product/identifier/S0924933822023483/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 65 2022
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However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. 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callnumber-first	R - Medicine
author	Patricia Correa-Ghisays
spellingShingle	Patricia Correa-Ghisays misc RC435-571 misc Mental illness misc methodology design misc neurocognitive endophenotype misc Psychiatry MICEmi: A method to identify cognitive endophenotypes of mental illnesses
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topic_title	RC435-571 MICEmi: A method to identify cognitive endophenotypes of mental illnesses Mental illness methodology design neurocognitive endophenotype
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title	MICEmi: A method to identify cognitive endophenotypes of mental illnesses
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title_full	MICEmi: A method to identify cognitive endophenotypes of mental illnesses
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author_browse	Patricia Correa-Ghisays Joan Vicent Sánchez-Ortí Vicent Balanzá-Martínez Inmaculada Fuentes-Durá Anabel Martinez-Aran Lara Ruiz-Bolo Paulina Correa-Estrada Juan Carlos Ruiz-Ruiz Gabriel Selva-Vera Joan Vila-Francés Diego Macias Saint-Gerons Constanza San-Martín Rosa Ayesa-Arriola Rafael Tabarés-Seisdedos
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title_sort	micemi: a method to identify cognitive endophenotypes of mental illnesses
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title_auth	MICEmi: A method to identify cognitive endophenotypes of mental illnesses
abstract	Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
abstractGer	Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
abstract_unstemmed	Abstract Background Characterizing neurocognitive endophenotypes of mental illnesses (MIs) could be useful for identifying at-risk individuals, increasing early diagnosis, improving disease subtyping, and proposing therapeutic strategies to reduce the negative effects of the symptoms, in addition to serving as a scientific basis to unravel the physiopathology of the disease. However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. Conclusions This work is ongoing since it is necessary to obtain external validation of the applicability of the method in future research.
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title_short	MICEmi: A method to identify cognitive endophenotypes of mental illnesses
url	https://doi.org/10.1192/j.eurpsy.2022.2348 https://doaj.org/article/9292ea0b3ef0414b8bca3991272cd72b https://www.cambridge.org/core/product/identifier/S0924933822023483/type/journal_article https://doaj.org/toc/0924-9338 https://doaj.org/toc/1778-3585
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author2	Joan Vicent Sánchez-Ortí Vicent Balanzá-Martínez Inmaculada Fuentes-Durá Anabel Martinez-Aran Lara Ruiz-Bolo Paulina Correa-Estrada Juan Carlos Ruiz-Ruiz Gabriel Selva-Vera Joan Vila-Francés Diego Macias Saint-Gerons Constanza San-Martín Rosa Ayesa-Arriola Rafael Tabarés-Seisdedos
author2Str	Joan Vicent Sánchez-Ortí Vicent Balanzá-Martínez Inmaculada Fuentes-Durá Anabel Martinez-Aran Lara Ruiz-Bolo Paulina Correa-Estrada Juan Carlos Ruiz-Ruiz Gabriel Selva-Vera Joan Vila-Francés Diego Macias Saint-Gerons Constanza San-Martín Rosa Ayesa-Arriola Rafael Tabarés-Seisdedos
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up_date	2024-07-03T15:53:30.141Z
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However, a standardized algorithm to determine cognitive endophenotypes has not yet been developed. The main objective of this study was to present a method for the identification of endophenotypes in MI research. Methods For this purpose, a 14-expert working group used a scoping review methodology and designed a method that includes a scoring template with five criteria and indicators, a strategy for their verification, and a decision tree. 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MICEmi: A method to identify cognitive endophenotypes of mental illnesses

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