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 controls (NC). Most prior studies examined the thalamus as a whole, single region-of-interest. Additionally, findings in individuals at familial high-risk for schizophrenia (FHR) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for schizophrenia.</p><p><strong>Methods: </strong>Structural MRI scans were obtained from 5,197 participants (3,409 NC, 257 FHR, 1,531 SCZ) across 32 cross-sectional samples within the ENIGMA Consortium. Random-effects meta-analyses, and network analyses were conducted on (i) local thalamic alterations (volume estimates of seven thalamic subdivisions), and (ii) network-wide thalamic alterations (thickness and surface-related thalamo-cortical/cortico-cortical co-variation 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 to NC (q<sub>FDR</sub><0.05). FHR did not differ from NC. At the network-wide level, thalamo-cortical co-variations discriminated FHR from NC (q<sub>FDR</sub><0.05), with FHR showing intermediate co-variation between SCZ and NC. Cortico-cortical co-variation patterns revealed that SCZ and FHR shared similarly disconnected clustering configurations, distinct from NC (q<sub>FDR</sub><0.05).</p><p><strong>Conclusions: </strong>Results revealed lower thalamic volume estimates in SCZ but not in FHR, hence yielding no evidence of a familial risk trait, whereas thalamo-cortical and cortico-cortical co-variation estimates were associated with familial risk for SCZ These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamo-cortical 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":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Thalamo-cortical structural co-variation 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 controls (NC). Most prior studies examined the thalamus as a whole, single region-of-interest. Additionally, findings in individuals at familial high-risk for schizophrenia (FHR) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for schizophrenia.</p><p><strong>Methods: </strong>Structural MRI scans were obtained from 5,197 participants (3,409 NC, 257 FHR, 1,531 SCZ) across 32 cross-sectional samples within the ENIGMA Consortium. Random-effects meta-analyses, and network analyses were conducted on (i) local thalamic alterations (volume estimates of seven thalamic subdivisions), and (ii) network-wide thalamic alterations (thickness and surface-related thalamo-cortical/cortico-cortical co-variation 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 to NC (q<sub>FDR</sub><0.05). FHR did not differ from NC. At the network-wide level, thalamo-cortical co-variations discriminated FHR from NC (q<sub>FDR</sub><0.05), with FHR showing intermediate co-variation between SCZ and NC. Cortico-cortical co-variation patterns revealed that SCZ and FHR shared similarly disconnected clustering configurations, distinct from NC (q<sub>FDR</sub><0.05).</p><p><strong>Conclusions: </strong>Results revealed lower thalamic volume estimates in SCZ but not in FHR, hence yielding no evidence of a familial risk trait, whereas thalamo-cortical and cortico-cortical co-variation estimates were associated with familial risk for SCZ These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamo-cortical 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\":\"2025-05-07\",\"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}
Thalamo-cortical structural co-variation 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 controls (NC). Most prior studies examined the thalamus as a whole, single region-of-interest. Additionally, findings in individuals at familial high-risk for schizophrenia (FHR) remain inconclusive. Here, we investigated whether local and network-wide thalamic-related structural alterations vary as a function of familial risk for schizophrenia.
Methods: Structural MRI scans were obtained from 5,197 participants (3,409 NC, 257 FHR, 1,531 SCZ) across 32 cross-sectional samples within the ENIGMA Consortium. Random-effects meta-analyses, and network analyses were conducted on (i) local thalamic alterations (volume estimates of seven thalamic subdivisions), and (ii) network-wide thalamic alterations (thickness and surface-related thalamo-cortical/cortico-cortical co-variation 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 to NC (qFDR<0.05). FHR did not differ from NC. At the network-wide level, thalamo-cortical co-variations discriminated FHR from NC (qFDR<0.05), with FHR showing intermediate co-variation between SCZ and NC. Cortico-cortical co-variation patterns revealed that SCZ and FHR shared similarly disconnected clustering configurations, distinct from NC (qFDR<0.05).
Conclusions: Results revealed lower thalamic volume estimates in SCZ but not in FHR, hence yielding no evidence of a familial risk trait, whereas thalamo-cortical and cortico-cortical co-variation estimates were associated with familial risk for SCZ These findings suggest that, once the thalamus is parsed into subdivisions, network-wide thalamo-cortical 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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