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Projetos de Pesquisa
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LIM/21 - Laboratório de Neuroimagem em Psiquiatria, Hospital das Clínicas, Faculdade de Medicina

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  • article 9 Citação(ões) na Scopus
    Country-level gender inequality is associated with structural differences in the brains of women and men
    (2023) ZUGMAN, Andre; ALLIENDE, Luz Maria; MEDEL, Vicente; BETHLEHEM, Richard A. I.; SEIDLITZ, Jakob; RINGLEIN, Grace; ARANGO, Celso; ARNATKEVICIUTE, Aurina; ASMAL, Laila; BELLGROVE, Mark; BENEGAL, Vivek; BERNARDO, Miquel; BILLEKE, Pablo; BOSCH-BAYARD, Jorge; BRESSAN, Rodrigo; BUSATTO, Geraldo F.; CASTRO, Mariana N.; CHAIM-AVANCINI, Tiffany; COMPTE, Albert; COSTANZI, Monise; CZEPIELEWSKI, Leticia; DAZZAN, Paola; FUENTE-SANDOVAL, Camilo de la; FORTI, Marta Di; DIAZ-CANEJA, Covadonga M.; DIAZ-ZULUAGA, Ana Maria; PLESSIS, Stefan Du; DURAN, Fabio L. S.; FITTIPALDI, Sol; FORNITO, Alex; FREIMER, Nelson B.; GADELHA, Ary; GAMA, Clarissa S.; GARANI, Ranjini; GARCIA-RIZO, Clemente; CAMPO, Cecilia Gonzalez; GONZALEZ-VALDERRAMA, Alfonso; GUINJOAN, Salvador; HOLLA, Bharath; IBANEZ, Agustin; IVANOVIC, Daniza; JACKOWSKI, Andrea; LEON-ORTIZ, Pablo; LOCHNER, Christine; LOPEZ-JARAMILLO, Carlos; LUCKHOFF, Hilmar; MASSUDA, Raffael; MCGUIRE, Philip; MIYATAAAA, Jun; MIZRAHI, Romina; MURRAY, Robin; OZERDEM, Aysegul; PAN, Pedro M.; PARELLADA, Mara; PHAHLADIRA, Lebogan; RAMIREZ-MAHALU, Juan P.; RECKZIEGEL, Ramiro; MARQUES, Tiago Reis; REYES-MADRIGAL, Francisco; ROOS, Annerine; ROSA, Pedro; SALUM, Giovanni; SCHEFFLER, Freda; SCHUMANN, Gunter; SERPA, Mauricio; STEIN, Dan J.; TEPPER, Angeles; TIEGO, Jeggan; UENO, Tsukasa; UNDURRAGA, Juan; UNDURRAG, Eduardo A.; VALDES-SOSAOOO, Pedro; VALLIY, Isabel; VILLARREALU, Mirta; WINTON-BROWNRRR, Toby T.; YALIN, Nefize; ZAMORANO, Francisco; ZANETTI, Marcus V.; WINKLER, Anderson M.; PINE, Daniel S.; EVANS-LACKO, Sara; CROSSLEY, Nicolas A.
    Gender inequality across the world has been associated with a higher risk to mental health problems and lower academic achievement in women compared to men. We also know that the brain is shaped by nurturing and adverse socio-environmental experiences. Therefore, unequal exposure to harsher conditions for women compared to men in gender-unequal countries might be reflected in differences in their brain structure, and this could be the neural mechanism partly explaining women's worse outcomes in gender-unequal countries. We examined this through a random-effects meta-analysis on cortical thickness and surface area differences between adult healthy men and women, including a meta-regression in which country-level gender inequality acted as an explanatory variable for the observed differences. A total of 139 samples from 29 different countries, totaling 7,876 MRI scans, were included. Thickness of the right hemisphere, and particularly the right caudal anterior cingulate, right medial orbitofrontal, and left lateral occipital cortex, presented no differences or even thicker regional cortices in women compared to men in gender-equal countries, reversing to thinner cortices in countries with greater gender inequality. These results point to the potentially hazardous effect of gender inequality on women's brains and provide initial evidence for neuroscience-informed policies for gender equality.
  • article 11 Citação(ões) na Scopus
    Differences in Total Brain Volume between Sexes in a Cognitively Unimpaired Elderly Population
    (2020) BUCHPIGUEL, Marina; ROSA, Pedro; SQUARZONI, Paula; DURAN, Fabio L. S.; TAMASHIRO-DURAN, Jaqueline H.; LEITE, Claudia C.; LOTUFO, Paulo; SCAZUFCA, Marcia; ALVES, Tania C. T. F.; BUSATTO, Geraldo F.
    OBJECTIVES: Although a large number of studies have shown brain volumetric differences between men and women, only a few investigations have analyzed brain tissue volumes in representative samples of the general elderly population. We investigated differences in gray matter (GM) volumes, white matter (WM) volumes, and intracranial volumes (ICVs) between the sexes in individuals older than 66 years using structural magnetic resonance imaging (MRI). METHODS: Using FreeSurfer version 5.3, we obtained the ICVs and GM and WM volumes from the MRI datasets of 84 men and 92 women. To correct for interindividual variations in ICV, GM and WM volumes were adjusted with a method using the residuals of a least-square-derived linear regression between raw volumes and ICVs. We then performed an analysis of covariance comparing men and women, including age and years of schooling as confounding factors. RESULTS: Women had a lower socioeconomic status overall and fewer years of schooling than men. The comparison of unadjusted brain volumes showed larger GM and WM volumes in men. After the ICV correction, the adjusted volumes of GM and WM were larger in women. CONCLUSION: After the ICV correction and taking into account differences in socioeconomic status and years of schooling, our results confirm previous findings of proportionally larger GM in women, as well as larger WM volumes. These results in an elderly population indicate that brain volumetric differences between sexes persist throughout the aging process. Additional studies combining MRI and other biomarkers to identify the hormonal and molecular bases influencing such differences are warranted.
  • article 28 Citação(ões) na Scopus
    A meta-analysis of deep brain structural shape and asymmetry abnormalities in 2,833 individuals with schizophrenia compared with 3,929 healthy volunteers via the ENIGMA Consortium
    (2022) GUTMAN, Boris A.; ERP, Theo G. M. van; ALPERT, Kathryn; CHING, Christopher R. K.; ISAEV, Dmitry; RAGOTHAMAN, Anjani; JAHANSHAD, Neda; SAREMI, Arvin; ZAVALIANGOS-PETROPULU, Artemis; GLAHN, David C.; SHEN, Li; CONG, Shan; ALNAES, Dag; ANDREASSEN, Ole Andreas; Nhat Trung Doan; WESTLYE, Lars T.; KOCHUNOV, Peter; SATTERTHWAITE, Theodore D.; WOLF, Daniel H.; HUANG, Alexander J.; KESSLER, Charles; WEIDEMAN, Andrea; NGUYEN, Dana; MUELLER, Bryon A.; FAZIOLA, Lawrence; POTKIN, Steven G.; PREDA, Adrian; MATHALON, Daniel H.; BUSTILLO, Juan; CALHOUN, Vince; FORD, Judith M.; WALTON, Esther; EHRLICH, Stefan; DUCCI, Giuseppe; BANAJ, Nerisa; PIRAS, Fabrizio; PIRAS, Federica; SPALLETTA, Gianfranco; CANALES-RODRIGUEZ, Erick J.; FUENTES-CLARAMONTE, Paola; POMAROL-CLOTET, Edith; RADUA, Joaquim; SALVADOR, Raymond; SARRO, Salvador; DICKIE, Erin W.; VOINESKOS, Aristotle; TORDESILLAS-GUTIERREZ, Diana; CRESPO-FACORRO, Benedicto; SETIEN-SUERO, Esther; SON, Jacqueline Mayoral van; BORGWARDT, Stefan; SCHOENBORN-HARRISBERGER, Fabienne; MORRIS, Derek; DONOHOE, Gary; HOLLERAN, Laurena; CANNON, Dara; MCDONALD, Colm; CORVIN, Aiden; GILL, Michael; BUSATTO FILHO, Geraldo; ROSA, Pedro G. P.; SERPA, Mauricio H.; V, Marcus Zanetti; LEBEDEVA, Irina; KALEDA, Vasily; TOMYSHEV, Alexander; CROW, Tim; JAMES, Anthony; CERVENKA, Simon; SELLGREN, Carl M.; FATOUROS-BERGMAN, Helena; AGARTZ, Ingrid; HOWELLS, Fleur; STEIN, Dan J.; TEMMINGH, Henk; UHLMANN, Anne; I, Greig de Zubicaray; MCMAHON, Katie L.; WRIGHT, Margie; COBIA, Derin; CSERNANSKY, John G.; THOMPSON, Paul M.; TURNER, Jessica A.; WANG, Lei
    Schizophrenia is associated with widespread alterations in subcortical brain structure. While analytic methods have enabled more detailed morphometric characterization, findings are often equivocal. In this meta-analysis, we employed the harmonized ENIGMA shape analysis protocols to collaboratively investigate subcortical brain structure shape differences between individuals with schizophrenia and healthy control participants. The study analyzed data from 2,833 individuals with schizophrenia and 3,929 healthy control participants contributed by 21 worldwide research groups participating in the ENIGMA Schizophrenia Working Group. Harmonized shape analysis protocols were applied to each site's data independently for bilateral hippocampus, amygdala, caudate, accumbens, putamen, pallidum, and thalamus obtained from T1-weighted structural MRI scans. Mass univariate meta-analyses revealed more-concave-than-convex shape differences in the hippocampus, amygdala, accumbens, and thalamus in individuals with schizophrenia compared with control participants, more-convex-than-concave shape differences in the putamen and pallidum, and both concave and convex shape differences in the caudate. Patterns of exaggerated asymmetry were observed across the hippocampus, amygdala, and thalamus in individuals with schizophrenia compared to control participants, while diminished asymmetry encompassed ventral striatum and ventral and dorsal thalamus. Our analyses also revealed that higher chlorpromazine dose equivalents and increased positive symptom levels were associated with patterns of contiguous convex shape differences across multiple subcortical structures. Findings from our shape meta-analysis suggest that common neurobiological mechanisms may contribute to gray matter reduction across multiple subcortical regions, thus enhancing our understanding of the nature of network disorganization in schizophrenia.
  • article 2 Citação(ões) na Scopus
    Acquisition and retention of basic pathophysiological knowledge in psychiatry
    (2014) GUARNIERO, Francisco; DIAS, Alvaro; TRONCON, Luiz; ALVARENGA, Pedro; ROSA, Pedro; BUSATTO, Geraldo
    An important and yet underexplored issue in medical education concerns the extent to which students retain early taught theoretical knowledge during subsequent stages of their academic schooling. This study aimed to assess the degree to which medical students retain basic pathophysiological knowledge on biological psychiatry across different stages of medical education. A cross-sectional investigation was conducted using a multiple choice questionnaire (MCQ) of objective pathophysiological knowledge taught in a course given to second-year students, supplemented by questions measuring subjective interest and attributed importance to the content taught. Comparisons (ANOVA with post hoc Tukey tests) were carried out among five groups (n = 417): baseline (freshmen), pre-intervention group (second-year students attending the first day of the course), immediate tested group (second-year students on the final day of the course), 1-year delayed tested group (third-year students), and 3-years delayed tested group (interns). In comparison to the baseline and pre-intervention groups, the other three groups that received teaching displayed significantly better levels of knowledge (p < 0.0001). Differently, scores of interest and attributed importance were higher in the pre-intervention group relative to all other groups that were tested after having been given the course (p < 0.005). There were no significant associations between knowledge retention, attributed importance, and interest within pre-intervention or post-intervention groups. The only modest loss of knowledge over time indicates that a large proportion of early taught content is retained throughout the later years of medical education. Nevertheless, retained knowledge does not seem to be associated with subjective interest and attributed importance to such early taught content.
  • article 55 Citação(ões) na Scopus
    The neuroscience of sadness: A multidisciplinary synthesis and collaborative review
    (2020) ARIAS, Juan A.; WILLIAMS, Claire; RAGHVANI, Rashmi; AGHAJANI, Moji; BAEZ, Sandra; BELZUNG, Catherine; BOOIJ, Linda; BUSATTO, Geraldo; CHIARELLA, Julian; FU, Cynthia H. Y.; IBANEZ, Agustin; LIDDELL, Belinda J.; LOWE, Leroy; PENNINX, Brenda W. J. H.; ROSA, Pedro; KEMP, Andrew H.
    Sadness is typically characterized by raised inner eyebrows, lowered corners of the mouth, reduced walking speed, and slumped posture. Ancient subcortical circuitry provides a neuroanatomical foundation, extending from dorsal periaqueductal grey to subgenual anterior cingulate, the latter of which is now a treatment target in disorders of sadness. Electrophysiological studies further emphasize a role for reduced left relative to right frontal asymmetry in sadness, underpinning interest in the transcranial stimulation of left dorsolateral prefrontal cortex as an antidepressant target. Neuroimaging studies - including meta-analyses - indicate that sadness is associated with reduced cortical activation, which may contribute to reduced parasympathetic inhibitory control over medullary cardioacceleratory circuits. Reduced cardiac control may - in part - contribute to epidemiological reports of reduced life expectancy in affective disorders, effects equivalent to heavy smoking. We suggest that the field may be moving toward a theoretical consensus, in which different models relating to basic emotion theory and psychological constructionism may be considered as complementary, working at different levels of the phylogenetic hierarchy.
  • conferenceObject
    Brain Structure and the Prediction of Outcome in First-Episode Schizophrenia-Spectrum Disorders and Affective Psychosis: A Population-Based Study
    (2012) ROSA, Pedro G.; SCHALFELBERGER, Maristela S.; DURAN, Fabio L. S.; SANTOS, Luciana C.; MENEZES, Paulo R.; SCAZUFCA, Marcia; MURRAY, Robin M.; BUSATTO, Geraldo F.
    Background: MRI studies of the prediction of outcome among subjects with first-episode psychosis (FEP) have brought misleading evidence to discussion. Cognitive impairment in subjects with psychosis is receiving particular attention, and may be the symptom dimension most associated with outcome in those patients. Methods: Structural MRI on a FEP (N=96) sample with subjects with schizophrenia-spectrum disorders (N=55) and affective psychoses (N=41). Outcome evaluation after a median period of one year consisted on PANSS, cognitive measures (verbal fluency and digit spans) and disability evaluation (WHO-DAS). Lateral ventricles, studied using a region of interest approach, and regional GM, analyzed using VBM with SPM, at the baseline entered statistics as predictive of outcome at the follow-up. Results: Frontal and temporal cortices GM volume were associated with outcome measures, in particular with the performance o cognitive tasks, in the overall FEP Group and in the subgroups (schizophrenia and affective psychoses). Particularly, the affective psychosis subgroup showed more robust associations of GM volumes with outcome measures than the schizophrenia-spectrum subgroup. Furthermore, temporal horns measures were negatively correlated with digit spans’ performances in the FEP group and in the subgroups. None of these findings could be attributed to confounding factors, such as outcome measures at baseline and antipsychotic intake. Conclusions: Brain structure at the moment of the first-episode of psychosis of patients with schizophrenia and subjects with affective psychoses was associated with outcome, particularly cognitive measures. The predominance of findings on frontal-temporal regions is compatible with the presence of a fronto-temporal disconnectivity underlying psychoses. Keyword(s): Schizophrenia, Bipolar Disorder, Neuroimaging, Outcome, Cognition
  • article 32 Citação(ões) na Scopus
    No Alterations of Brain Structural Asymmetry in Major Depressive Disorder: An ENIGMA Consortium Analysis
    (2019) KOVEL, Carolien G. F. de; AFTANAS, Lyubomir; ALEMAN, Andre; ALEXANDER-BLOCH, Aaron F.; BAUNE, Bernhard T.; BRACK, Ivan; BULOW, Robin; BUSATTO FILHO, Geraldo; CARBALLEDO, Angela; CONNOLLY, Colm G.; CULLEN, Kathryn R.; DANNLOWSKI, Udo; DAVEY, Christopher G.; DIMA, Danai; DOHM, Katharina; ERWIN-GRABNER, Tracy; FRODL, Thomas; FU, Cynthia H. Y.; HALL, Geoffrey B.; GLAHN, David C.; GODLEWSKA, Beata; GOTLIB, Ian H.; GOYA-MALDONADO, Roberto; GRABE, Hans Jorgen; GROENEWOLD, Nynke A.; GROTEGERD, Dominik; GRUBER, Oliver; HARRIS, Mathew A.; HARRISON, Ben J.; HATTON, Sean N.; HICKIE, Ian B.; HO, Tiffany C.; JAHANSHAD, Neda; KIRCHER, Tilo; KRAMER, Bernd; KRUG, Axel; LAGOPOULOS, Jim; LEEHR, Elisabeth J.; LI, Meng; MACMASTER, Frank P.; MACQUEEN, Glenda; MCINTOSH, Andrew M.; MCLELLAN, Quinn; MEDLAND, Sarah E.; MUELLER, Bryon A.; NENADIC, Igor; OSIPOV, Evgeny; PAPMEYER, Martina; PORTELLA, Maria J.; RENEMAN, Liesbeth; ROSA, Pedro G. P.; SACCHET, Matthew D.; SCHNELL, Knut; SCHRANTEE, Anouk; SIM, Kang; SIMULIONYTE, Egle; SINDERMANN, Lisa; WERFF, Steven J. A. Van der; VEER, Ilya M.; VIVES-GILABERT, Yolanda; VOLZKE, Henry; WALTER, Henrik; WALTER, Martin; SCHREINER, Melinda Westlund; WHALLEY, Heather; WINTER, Nils; WITTFELD, Katharina; YANG, Tony T.; YUKSEL, Dilara; ZAREMBA, Dario; THOMPSON, Paul M.; VELTMAN, Dick J.; SCHMAAL, Lianne; FRANCKS, Clyde
    Objective: Asymmetry is a subtle but pervasive aspect of the human brain, and it may be altered in several psychiatric conditions. MRI studies have shown subtle differences of brain anatomy between people with major depressive disorder and healthy control subjects, but few studies have specifically examined brain anatomical asymmetry in relation to this disorder, and results from those studies have remained inconclusive. At the functional level, some electroencephalography studies have indicated left fronto-cortical hypoactivity and right parietal hypoactivity in depressive disorders, so aspects of lateralized anatomy may also be affected. The authors used pooled individual-level data from data sets collected around the world to investigate differences in laterality in measures of cortical thickness, cortical surface area, and subcortical volume between individuals with major depression and healthy control subjects. Methods: The authors investigated differences in the laterality of thickness and surface area measures of 34 cerebral cortical regions in 2,256 individuals with major depression and 3,504 control subjects from 31 separate data sets, and they investigated volume asymmetries of eight subcortical structures in 2,540 individuals with major depression and 4,230 control subjects from 32 data sets. T-1-weighted MRI data were processedwith a single protocol using FreeSurfer and the Desikan-Killiany atlas. The large sample size provided 80% power to detect effects of the order of Cohen's d=0.1. Results: The largest effect size (Cohen's d) of major depression diagnosis was 0.085 for the thickness asymmetry of the superior temporal cortex, which was not significant after adjustment for multiple testing. Asymmetry measures were not significantly associated with medication use, acute compared with remitted status, first episode compared with recurrent status, or age at onset. Conclusions: Altered brain macro-anatomical asymmetry may be of little relevance to major depression etiology in most cases.
  • article 78 Citação(ões) na Scopus
    Using structural MRI to identify bipolar disorders-13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group
    (2020) NUNES, Abraham; SCHNACK, Hugo G.; CHING, Christopher R. K.; AGARTZ, Ingrid; AKUDJEDU, Theophilus N.; ALDA, Martin; ALNAES, Dag; ALONSO-LANA, Silvia; BAUER, Jochen; BAUNE, Bernhard T.; BOEN, Erlend; BONNIN, Caterina del Mar; BUSATTO, Geraldo F.; CANALES-RODRIGUEZ, Erick J.; CANNON, Dara M.; CASERAS, Xavier; CHAIM-AVANCINI, Tiffany M.; DANNLOWSKI, Udo; DIAZ-ZULUAGA, Ana M.; DIETSCHE, Bruno; Nhat Trung Doan; DUCHESNAY, Edouard; ELVSASHAGEN, Torbjorn; EMDEN, Daniel; EYLER, Lisa T.; FATJO-VILAS, Mar; FAVRE, Pauline; FOLEY, Sonya F.; FULLERTON, Janice M.; GLAHN, David C.; GOIKOLEA, Jose M.; GROTEGERD, Dominik; HAHN, Tim; HENRY, Chantal; HIBAR, Derrek P.; HOUENOU, Josselin; HOWELLS, Fleur M.; JAHANSHAD, Neda; KAUFMANN, Tobias; KENNEY, Joanne; KIRCHER, Tilo T. J.; KRUG, Axel; V, Trine Lagerberg; LENROOT, Rhoshel K.; LOPEZ-JARAMILLO, Carlos; MACHADO-VIEIRA, Rodrigo; MALT, Ulrik F.; MCDONALD, Colm; MITCHELL, Philip B.; MWANGI, Benson; NABULSI, Leila; OPEL, Nils; OVERS, Bronwyn J.; PINEDA-ZAPATA, Julian A.; POMAROL-CLOTET, Edith; REDLICH, Ronny; ROBERTS, Gloria; ROSA, Pedro G.; SALVADOR, Raymond; SATTERTHWAITE, Theodore D.; SOARES, Jair C.; STEIN, Dan J.; TEMMINGH, Henk S.; TRAPPENBERG, Thomas; UHLMANN, Anne; HAREN, Neeltje E. M. van; VIETA, Eduard; WESTLYE, Lars T.; WOLF, Daniel H.; YUEKSEL, Dilara; ZANETTI, Marcus V.; ANDREASSEN, Ole A.; THOMPSON, Paul M.; HAJEK, Tomas
    Bipolar disorders (BDs) are among the leading causes of morbidity and disability. Objective biological markers, such as those based on brain imaging, could aid in clinical management of BD. Machine learning (ML) brings neuroimaging analyses to individual subject level and may potentially allow for their diagnostic use. However, fair and optimal application of ML requires large, multi-site datasets. We applied ML (support vector machines) to MRI data (regional cortical thickness, surface area, subcortical volumes) from 853 BD and 2167 control participants from 13 cohorts in the ENIGMA consortium. We attempted to differentiate BD from control participants, investigated different data handling strategies and studied the neuroimaging/clinical features most important for classification. Individual site accuracies ranged from 45.23% to 81.07%. Aggregate subject-level analyses yielded the highest accuracy (65.23%, 95% CI = 63.47-67.00, ROC-AUC = 71.49%, 95% CI = 69.39-73.59), followed by leave-one-site-out cross-validation (accuracy = 58.67%, 95% CI = 56.70-60.63). Meta-analysis of individual site accuracies did not provide above chance results. There was substantial agreement between the regions that contributed to identification of BD participants in the best performing site and in the aggregate dataset (Cohen's Kappa = 0.83, 95% CI = 0.829-0.831). Treatment with anticonvulsants and age were associated with greater odds of correct classification. Although short of the 80% clinically relevant accuracy threshold, the results are promising and provide a fair and realistic estimate of classification performance, which can be achieved in a large, ecologically valid, multi-site sample of BD participants based on regional neurostructural measures. Furthermore, the significant classification in different samples was based on plausible and similar neuroanatomical features. Future multi-site studies should move towards sharing of raw/voxelwise neuroimaging data.
  • article 103 Citação(ões) na Scopus
    Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years
    (2022) FRANGOU, Sophia; MODABBERNIA, Amirhossein; WILLIAMS, Steven C. R.; PAPACHRISTOU, Efstathios; DOUCET, Gaelle E.; AGARTZ, Ingrid; AGHAJANI, Moji; AKUDJEDU, Theophilus N.; ALBAJES-EIZAGIRRE, Anton; ALNAES, Dag; I, Kathryn Alpert; WALTON, Esther; WANG, Lei; WANG, Yang; WASSINK, Thomas H.; WEBER, Bernd; WEN, Wei; WEST, John D.; WESTLYE, Lars T.; WHALLEY, Heather; BERTOLINO, Alessandro; KLEIN, Marieke; WIERENGA, Lara M.; WITTFELD, Katharina; WOLF, Daniel H.; WORKER, Amanda; WRIGHT, Margaret J.; YANG, Kun; YONCHEVA, Yulyia; V, Marcus Zanetti; ZIEGLER, Georg C.; THOMPSON, Paul M.; KLYUSHNIK, Tatyana P.; BONVINO, Aurora; DIMA, Danai; I, Dorret Boomsma; BORGWARDT, Stefan; BOURQUE, Josiane; BRANDEIS, Daniel; BREIER, Alan; BRODATY, Henry; BROUWER, Rachel M.; BUITELAAR, Jan K.; KOENDERS, Laura; BUSATTO, Geraldo F.; BUCKNER, Randy L.; CALHOUN, Vincent; CANALES-RODRIGUEZ, Erick J.; CANNON, Dara M.; CASERAS, Xavier; CASTELLANOS, Francisco X.; CERVENKA, Simon; CHAIM-AVANCINI, Tiffany M.; CHING, Christopher R. K.; KOOPS, Sanne; CHUBAR, Victoria; CLARK, Vincent P.; CONROD, Patricia; CONZELMANN, Annette; CRESPO-FACORRO, Benedicto; CRIVELLO, Fabrice; CRONE, Eveline A.; DALE, Anders M.; DAVEY, Christopher; GEUS, Eco J. C. de; KRAEMER, Bernd; HAAN, Lieuwe de; I, Greig de Zubicaray; BRABER, Anouk den; DICKIE, Erin W.; GIORGIO, Annabella Di; Nhat Trung Doan; DORUM, Erlend S.; EHRLICH, Stefan; ERK, Susanne; ESPESETH, Thomas; KUNTSI, Jonna; FATOUROS-BERGMAN, Helena; FISHER, Simon E.; FOUCHE, Jean-Paul; FRANKE, Barbara; FRODL, Thomas; FUENTES-CLARAMONTE, Paola; GLAHN, David C.; GOTLIB, Ian H.; GRABE, Hans-Joergen; GRIMM, Oliver; LAGOPOULOS, Jim; GROENEWOLD, Nynke A.; GROTEGERD, Dominik; GRUBER, Oliver; GRUNER, Patricia; GUR, Rachel E.; GUR, Ruben C.; HARRISON, Ben J.; HARTMAN, Catharine A.; HATTON, Sean N.; HEINZ, Andreas; LAZARO, Luisa; HESLENFELD, Dirk J.; HIBAR, Derrek P.; HICKIE, Ian B.; HO, Beng-Choon; HOEKSTRA, Pieter J.; HOHMANN, Sarah; HOLMES, Avram J.; HOOGMAN, Martine; HOSTEN, Norbert; HOWELLS, Fleur M.; LEBEDEVA, Irina; POL, Hilleke E. Hulshoff; HUYSER, Chaim; JAHANSHAD, Neda; JAMES, Anthony; JERNIGAN, Terry L.; JIANG, Jiyang; JONSSON, Erik G.; JOSKA, John A.; KAHN, Rene; KALNIN, Andrew; LEE, Won Hee; KANAI, Ryota; ANDERSSON, Micael; LESCH, Klaus-Peter; LOCHNER, Christine; MACHIELSEN, Marise W. J.; MAINGAULT, Sophie; MARTIN, Nicholas G.; MARTINEZ-ZALACAIN, Ignacio; MATAIX-COLS, David; MAZOYER, Bernard; MCDONALD, Colm; MCDONALD, Brenna C.; ANDREASEN, Nancy C.; MCINTOSH, Andrew M.; MCMAHON, Katie L.; MCPHILEMY, Genevieve; MENCHON, Jose M.; MEDLAND, Sarah E.; MEYER-LINDENBERG, Andreas; NAAIJEN, Jilly; NAJT, Pablo; NAKAO, Tomohiro; NORDVIK, Jan E.; ANDREASSEN, Ole A.; NYBERG, Lars; OOSTERLAAN, Jaap; FOZ, Victor Ortiz-Garcia de la; PALOYELIS, Yannis; PAULI, Paul; PERGOLA, Giulio; POMAROL-CLOTET, Edith; PORTELLA, Maria J.; POTKIN, Steven G.; RADUA, Joaquim; ASHERSON, Philip; REIF, Andreas; RINKER, Daniel A.; ROFFMAN, Joshua L.; ROSA, Pedro G. P.; SACCHET, Matthew D.; SACHDEV, Perminder S.; SALVADOR, Raymond; SANCHEZ-JUAN, Pascual; SARRO, Salvador; SATTERTHWAITE, Theodore D.; BANASCHEWSKI, Tobias; SAYKIN, Andrew J.; SERPA, Mauricio H.; SCHMAAL, Lianne; SCHNELL, Knut; SCHUMANN, Gunter; SIM, Kang; SMOLLER, Jordan W.; SOMMER, Iris; SORIANO-MAS, Carles; STEIN, Dan J.; BARGALLO, Nuria; STRIKE, Lachlan T.; SWAGERMAN, Suzanne C.; TAMNES, Christian K.; TEMMINGH, Henk S.; I, Sophia Thomopoulos; TOMYSHEV, Alexander S.; TORDESILLAS-GUTIERREZ, Diana; TROLLOR, Julian N.; TURNER, Jessica A.; UHLMANN, Anne; BAUMEISTER, Sarah; HEUVEL, Odile A. van den; MEER, Dennis van den; WEE, Nic J. A. van der; HAREN, Neeltje E. M. van; ENT, Dennis van't; ERP, Theo G. M. van; VEER, Ilya M.; VELTMAN, Dick J.; VOINESKOS, Aristotle; VOELZKE, Henry; BAUR-STREUBEL, Ramona; WALTER, Henrik
    Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
  • article 53 Citação(ões) na Scopus
    Lack of progression of brain abnormalities in first-episode psychosis: a longitudinal magnetic resonance imaging study
    Background. Some neuroimaging studies have supported the hypothesis of progressive brain changes after a first episode of psychosis. We aimed to determine whether (i) first-episode psychosis patients would exhibit more pronounced brain volumetric changes than controls over time and (ii) illness course/treatment would relate to those changes. Method. Longitudinal regional grey matter volume and ventricle : brain ratio differences between 39 patients with first-episode psychosis (including schizophrenia and schizophreniform disorder) and 52 non-psychotic controls enrolled in a population-based case-control study. Results. While there was no longitudinal difference in ventricle : brain ratios between first-episode psychosis subjects and controls, patients exhibited grey matter volume changes, indicating a reversible course in the superior temporal cortex and hippocampus compared with controls. A remitting course was related to reversal of baseline temporal grey matter deficits. Conclusions. Our findings do not support the hypothesis of brain changes indicating a progressive course in the initial phase of psychosis. Rather, some brain volume abnormalities may be reversible, possibly associated with a better illness course.