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. 2025 May 8:S0006-3223(25)01178-3.
doi: 10.1016/j.biopsych.2025.03.027. Online ahead of print.

Thalamocortical Structural Covariation Networks Are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study

Annalisa Lella  1 Linda A Antonucci  1 Roberta Passiatore  2 Loredana Bellantuono  3 Pierluigi Selvaggi  4 Teresa Popolizio  5 Guido Di Sciascio  6 Alessandro Saponaro  7 Patrizia Ricci  8 Mario Altamura  9 Giuseppe Blasi  4 Antonio Rampino  4 Chris Vriend  10 Vince D Calhoun  11 Kelly Rootes-Murdy  11 Aaron L Goldman  12 Inmaculada Baeza  13 Josefina Castro-Fornieles  13 Gisela Sugranyes  13 Elena De la Serna  13 Edith Pomarol-Clotet  14 Mar Fatjó-Vilas  14 Raymond Salvador  14 Andriana Karuk  14 Paola Fuentes-Claramonte  14 David C Glahn  15 Amanda L Rodrigue  16 John Blangero  17 Lei Wang  18 Taeyoung Lee  19 Karolin E Einenkel  20 Saskia Hamers  21 Oliver Gruber  20 Adrian Preda  22 Young-Chul Chung  23 Soyolsaikhan Odkhuu  24 Corentin Vallée  25 Paola Dazzan  26 Machteld Marcelis  27 Stijn Michielse  27 Katharina Brosch  28 Frederike Stein  29 Igor Nenadić  29 Benjamin Straube  29 Florian Thomas-Odenthal  29 Tilo Kircher  29 Sean Carruthers  30 Susan L Rossell  30 Phillip J Sumner  30 Tamsyn E Van Rheenen  31 Caroline Demro  32 Ian S Ramsay  32 Scott R Sponheim  33 Rebekka Lencer  34 Susanne Meinert  34 Tim Hahn  34 Udo Dannlowski  34 Dominik Grotegerd  34 Mariateresa Ciccarelli  35 Felice Iasevoli  35 Giuseppe Pontillo  36 Godfrey D Pearlson  37 Derin Cobia  38 Fabrizio Piras  39 Nerisa Banaj  39 Daniela Vecchio  39 Marjolein E A Barendse  40 Neeltje E M van Haren  40 Hang Joon Jo  41 Kang Sim  42 Yann Quidé  43 Melissa J Green  44 Rachael Slate  45 Giacomo Cecere  46 Wolfgang Omlor  46 Stephanie Homan  46 Philipp Homan  46 Sophia I Thomopoulos  47 Apulian Network on Risk for PsychosisJessica A Turner  48 Theo G M van Erp  49 Paul M Thompson  47 Alessandro Bertolino  4 Giulio Pergola  50
Collaborators, Affiliations

Thalamocortical Structural Covariation Networks Are Related to Familial Risk for Schizophrenia in the Context of Lower Nuclei Volume Estimates in Patients: An ENIGMA Study

Annalisa Lella et al. Biol Psychiatry. .

Abstract

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.

Keywords: Familial high risk for schizophrenia; Meta-analyses; Morphometric measures; Structural neuroimaging; Thalamic subdivisions; Thalamocortical networks.

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