Annalisa Lella, Linda A Antonucci, Roberta Passiatore, Loredana Bellantuono, Pierluigi Selvaggi, Teresa Popolizio, Guido Di Sciascio, Alessandro Saponaro, Patrizia Ricci, Mario Altamura, Giuseppe Blasi, Antonio Rampino, Chris Vriend, Vince D Calhoun, Kelly Rootes-Murdy, Aaron L Goldman, Inmaculada Baeza, Josefina Castro-Fornieles, Gisela Sugranyes, Elena De la Serna, Edith Pomarol-Clotet, Mar Fatjó-Vilas, Raymond Salvador, Andriana Karuk, Paola Fuentes-Claramonte, David C Glahn, Amanda L Rodrigue, John Blangero, Lei Wang, Taeyoung Lee, Karolin E Einenkel, Saskia Hamers, Oliver Gruber, Adrian Preda, Young-Chul Chung, Soyolsaikhan Odkhuu, Corentin Vallée, Paola Dazzan, Machteld Marcelis, Stijn Michielse, Katharina Brosch, Frederike Stein, Igor Nenadić, Benjamin Straube, Florian Thomas-Odenthal, Tilo Kircher, Sean Carruthers, Susan L Rossell, Phillip J Sumner, Tamsyn E Van Rheenen, Caroline Demro, Ian S Ramsay, Scott R Sponheim, Rebekka Lencer, Susanne Meinert, Tim Hahn, Udo Dannlowski, Dominik Grotegerd, Mariateresa Ciccarelli, Felice Iasevoli, Giuseppe Pontillo, Godfrey D Pearlson, Derin Cobia, Fabrizio Piras, Nerisa Banaj, Daniela Vecchio, Marjolein E A Barendse, Neeltje E M van Haren, Hang Joon Jo, Kang Sim, Yann Quidé, Melissa J Green, Rachael Slate, Giacomo Cecere, Wolfgang Omlor, Stephanie Homan, Philipp Homan, Sophia I Thomopoulos, Jessica A Turner, Theo G M van Erp, Paul M Thompson, Alessandro Bertolino, Giulio Pergola
{"title":"丘脑-皮层结构共变网络在患者核体积估计较低的情况下与精神分裂症的家族性风险有关：一项ENIGMA研究。","authors":"Annalisa Lella, Linda A Antonucci, Roberta Passiatore, Loredana Bellantuono, Pierluigi Selvaggi, Teresa Popolizio, Guido Di Sciascio, Alessandro Saponaro, Patrizia Ricci, Mario Altamura, Giuseppe Blasi, Antonio Rampino, Chris Vriend, Vince D Calhoun, Kelly Rootes-Murdy, Aaron L Goldman, Inmaculada Baeza, Josefina Castro-Fornieles, Gisela Sugranyes, Elena De la Serna, Edith Pomarol-Clotet, Mar Fatjó-Vilas, Raymond Salvador, Andriana Karuk, Paola Fuentes-Claramonte, David C Glahn, Amanda L Rodrigue, John Blangero, Lei Wang, Taeyoung Lee, Karolin E Einenkel, Saskia Hamers, Oliver Gruber, Adrian Preda, Young-Chul Chung, Soyolsaikhan Odkhuu, Corentin Vallée, Paola Dazzan, Machteld Marcelis, Stijn Michielse, Katharina Brosch, Frederike Stein, Igor Nenadić, Benjamin Straube, Florian Thomas-Odenthal, Tilo Kircher, Sean Carruthers, Susan L Rossell, Phillip J Sumner, Tamsyn E Van Rheenen, Caroline Demro, Ian S Ramsay, Scott R Sponheim, Rebekka Lencer, Susanne Meinert, Tim Hahn, Udo Dannlowski, Dominik Grotegerd, Mariateresa Ciccarelli, Felice Iasevoli, Giuseppe Pontillo, Godfrey D Pearlson, Derin Cobia, Fabrizio Piras, Nerisa Banaj, Daniela Vecchio, Marjolein E A Barendse, Neeltje E M van Haren, Hang Joon Jo, Kang Sim, Yann Quidé, Melissa J Green, Rachael Slate, Giacomo Cecere, Wolfgang Omlor, Stephanie Homan, Philipp Homan, Sophia I Thomopoulos, Jessica A Turner, Theo G M van Erp, Paul M Thompson, Alessandro Bertolino, Giulio Pergola","doi":"10.1016/j.biopsych.2025.03.027","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Structural brain differences in the thalamus and the cortex have been widely reported in schizophrenia (SCZ) relative to neurotypical control individuals (NCs). Most previous studies examined the thalamus as a whole as a single region of interest. In addition, findings in individuals at familial high risk for SCZ (FHRs) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for SCZ.</p><p><strong>Methods: </strong>Structural magnetic resonance imaging scans were obtained from 5197 participants (NC, n = 3409; FHR, n = 257; SCZ, n = 1531) across 32 cross-sectional samples within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Random-effects meta-analyses and network analyses were conducted on 1) local thalamic alterations (volume estimates of 7 thalamic subdivisions) and 2) network-wide thalamic alterations (thickness and surface-related thalamocortical/corticocortical covariation patterns) across groups (NC, FHR, SCZ).</p><p><strong>Results: </strong>Individuals with SCZ showed significantly lower gray matter volume estimates in the anterior, pulvinar, medial, posterior, and ventral thalamic subdivisions compared with NCs (false discovery rate-corrected q [q<sub>FDR</sub>] < .05). FHRs did not differ from NCs. At the network-wide level, thalamocortical covariations discriminated FHRs from NCs (q<sub>FDR</sub> < .05), with FHRs showing intermediate covariation between individuals with SCZ and NCs. Corticocortical covariation patterns revealed that individuals with SCZ and FHRs shared similarly disconnected clustering configurations, distinct from NCs (q<sub>FDR</sub> < .05).</p><p><strong>Conclusions: </strong>Results revealed lower thalamic volume estimates in individuals with SCZ but not in FHRs, hence yielding no evidence of a familial risk trait, whereas thalamocortical and corticocortical covariation estimates were associated with familial risk for SCZ. These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamocortical features may identify trait-dependent, neurobiological correlates of genetic risk for SCZ.</p>","PeriodicalId":8918,"journal":{"name":"Biological Psychiatry","volume":" ","pages":""},"PeriodicalIF":9.6000,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thalamocortical Structural Covariation Networks Are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study.\",\"authors\":\"Annalisa Lella, Linda A Antonucci, Roberta Passiatore, Loredana Bellantuono, Pierluigi Selvaggi, Teresa Popolizio, Guido Di Sciascio, Alessandro Saponaro, Patrizia Ricci, Mario Altamura, Giuseppe Blasi, Antonio Rampino, Chris Vriend, Vince D Calhoun, Kelly Rootes-Murdy, Aaron L Goldman, Inmaculada Baeza, Josefina Castro-Fornieles, Gisela Sugranyes, Elena De la Serna, Edith Pomarol-Clotet, Mar Fatjó-Vilas, Raymond Salvador, Andriana Karuk, Paola Fuentes-Claramonte, David C Glahn, Amanda L Rodrigue, John Blangero, Lei Wang, Taeyoung Lee, Karolin E Einenkel, Saskia Hamers, Oliver Gruber, Adrian Preda, Young-Chul Chung, Soyolsaikhan Odkhuu, Corentin Vallée, Paola Dazzan, Machteld Marcelis, Stijn Michielse, Katharina Brosch, Frederike Stein, Igor Nenadić, Benjamin Straube, Florian Thomas-Odenthal, Tilo Kircher, Sean Carruthers, Susan L Rossell, Phillip J Sumner, Tamsyn E Van Rheenen, Caroline Demro, Ian S Ramsay, Scott R Sponheim, Rebekka Lencer, Susanne Meinert, Tim Hahn, Udo Dannlowski, Dominik Grotegerd, Mariateresa Ciccarelli, Felice Iasevoli, Giuseppe Pontillo, Godfrey D Pearlson, Derin Cobia, Fabrizio Piras, Nerisa Banaj, Daniela Vecchio, Marjolein E A Barendse, Neeltje E M van Haren, Hang Joon Jo, Kang Sim, Yann Quidé, Melissa J Green, Rachael Slate, Giacomo Cecere, Wolfgang Omlor, Stephanie Homan, Philipp Homan, Sophia I Thomopoulos, Jessica A Turner, Theo G M van Erp, Paul M Thompson, Alessandro Bertolino, Giulio Pergola\",\"doi\":\"10.1016/j.biopsych.2025.03.027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Structural brain differences in the thalamus and the cortex have been widely reported in schizophrenia (SCZ) relative to neurotypical control individuals (NCs). Most previous studies examined the thalamus as a whole as a single region of interest. In addition, findings in individuals at familial high risk for SCZ (FHRs) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for SCZ.</p><p><strong>Methods: </strong>Structural magnetic resonance imaging scans were obtained from 5197 participants (NC, n = 3409; FHR, n = 257; SCZ, n = 1531) across 32 cross-sectional samples within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Random-effects meta-analyses and network analyses were conducted on 1) local thalamic alterations (volume estimates of 7 thalamic subdivisions) and 2) network-wide thalamic alterations (thickness and surface-related thalamocortical/corticocortical covariation patterns) across groups (NC, FHR, SCZ).</p><p><strong>Results: </strong>Individuals with SCZ showed significantly lower gray matter volume estimates in the anterior, pulvinar, medial, posterior, and ventral thalamic subdivisions compared with NCs (false discovery rate-corrected q [q<sub>FDR</sub>] < .05). FHRs did not differ from NCs. At the network-wide level, thalamocortical covariations discriminated FHRs from NCs (q<sub>FDR</sub> < .05), with FHRs showing intermediate covariation between individuals with SCZ and NCs. Corticocortical covariation patterns revealed that individuals with SCZ and FHRs shared similarly disconnected clustering configurations, distinct from NCs (q<sub>FDR</sub> < .05).</p><p><strong>Conclusions: </strong>Results revealed lower thalamic volume estimates in individuals with SCZ but not in FHRs, hence yielding no evidence of a familial risk trait, whereas thalamocortical and corticocortical covariation estimates were associated with familial risk for SCZ. These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamocortical features may identify trait-dependent, neurobiological correlates of genetic risk for SCZ.</p>\",\"PeriodicalId\":8918,\"journal\":{\"name\":\"Biological Psychiatry\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":9.6000,\"publicationDate\":\"2025-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biological Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.biopsych.2025.03.027\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biological Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.biopsych.2025.03.027","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
Thalamocortical Structural Covariation Networks Are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study.
Background: Structural brain differences in the thalamus and the cortex have been widely reported in schizophrenia (SCZ) relative to neurotypical control individuals (NCs). Most previous studies examined the thalamus as a whole as a single region of interest. In addition, findings in individuals at familial high risk for SCZ (FHRs) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for SCZ.
Methods: Structural magnetic resonance imaging scans were obtained from 5197 participants (NC, n = 3409; FHR, n = 257; SCZ, n = 1531) across 32 cross-sectional samples within the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Consortium. Random-effects meta-analyses and network analyses were conducted on 1) local thalamic alterations (volume estimates of 7 thalamic subdivisions) and 2) network-wide thalamic alterations (thickness and surface-related thalamocortical/corticocortical covariation patterns) across groups (NC, FHR, SCZ).
Results: Individuals with SCZ showed significantly lower gray matter volume estimates in the anterior, pulvinar, medial, posterior, and ventral thalamic subdivisions compared with NCs (false discovery rate-corrected q [qFDR] < .05). FHRs did not differ from NCs. At the network-wide level, thalamocortical covariations discriminated FHRs from NCs (qFDR < .05), with FHRs showing intermediate covariation between individuals with SCZ and NCs. Corticocortical covariation patterns revealed that individuals with SCZ and FHRs shared similarly disconnected clustering configurations, distinct from NCs (qFDR < .05).
Conclusions: Results revealed lower thalamic volume estimates in individuals with SCZ but not in FHRs, hence yielding no evidence of a familial risk trait, whereas thalamocortical and corticocortical covariation estimates were associated with familial risk for SCZ. These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamocortical features may identify trait-dependent, neurobiological correlates of genetic risk for SCZ.
期刊介绍：
Biological Psychiatry is an official journal of the Society of Biological Psychiatry and was established in 1969. It is the first journal in the Biological Psychiatry family, which also includes Biological Psychiatry: Cognitive Neuroscience and Neuroimaging and Biological Psychiatry: Global Open Science. The Society's main goal is to promote excellence in scientific research and education in the fields related to the nature, causes, mechanisms, and treatments of disorders pertaining to thought, emotion, and behavior. To fulfill this mission, Biological Psychiatry publishes peer-reviewed, rapid-publication articles that present new findings from original basic, translational, and clinical mechanistic research, ultimately advancing our understanding of psychiatric disorders and their treatment. The journal also encourages the submission of reviews and commentaries on current research and topics of interest.
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