Cortical Volume Differences in Subjects at Risk for Psychosis Are Driven by Surface Area
Carregando...
Citações na Scopus
14
Tipo de produção
article
Data de publicação
2020
Título da Revista
ISSN da Revista
Título do Volume
Editora
OXFORD UNIV PRESS
Autores
BUECHLER, Roman
WOTRUBA, Diana
MICHELS, Lars
THEODORIDOU, Anastasia
METZLER, Sibylle
WALITZA, Susanne
HANGGI, Jurgen
KOLLIAS, Spyros
ROSSLER, Wulf
HEEKEREN, Karsten
Citação
SCHIZOPHRENIA BULLETIN, v.46, n.6, p.1511-1519, 2020
Resumo
In subjects at risk for psychosis, the studies on gray matter volume (GMV) predominantly reported volume loss compared with healthy controls (CON). However, other important morphological measurements such as cortical surface area (CSA) and cortical thickness (CT) were not systematically compared. So far, samples mostly comprised subjects at genetic risk or at clinical risk fulfilling an ultra-high risk (UHR) criterion. No studies comparing UHR subjects with at-risk subjects showing only basic symptoms (BS) investigated the differences in CSA or CT. Therefore, we aimed to unravel the contribution of the 2 morphometrical measures constituting the cortical volume (CV) and to test whether these groups inhere different morphometric features. We conducted a surface-based morphometric analysis in 34 CON, 46 BS, and 39 UHR to examine between-group differences in CV, CSA, and CT vertex-wise across the whole cortex. Compared with BS and CON, UHR individuals presented increased CV in frontal and parietal regions, which was driven by larger CSA. These groups did not differ in CT. Yet, at-risk subjects who later developed schizophrenia showed thinning in the occipital cortex. Furthermore, BS presented increased CSA compared with CON. Our results suggest that volumetric differences in UHR subjects are driven by CSA while CV loss in converters seems to be based on cortical thinning. We attribute the larger CSA in UHR to aberrant pruning representing a vulnerability to develop psychotic symptoms reflected in different levels of vulnerability for BS and UHR, and cortical thinning to a presumably stress-related cortical decomposition.
Palavras-chave
schizophrenia, surface-based morphometry, cortical thickness, prodrome
Referências
- Benetti S, 2013, SCHIZOPHR RES, V150, P505, DOI 10.1016/j.schres.2013.08.030
- Bois C, 2015, BIOL PSYCHIAT, V78, P413, DOI 10.1016/j.biopsych.2014.12.030
- Borgwardt S, 2011, SCHIZOPHR RES, V133, P63, DOI 10.1016/j.schres.2011.08.021
- Cannon TD, 2015, BIOL PSYCHIAT, V77, P147, DOI 10.1016/j.biopsych.2014.05.023
- Catts VS, 2013, FRONT CELL NEUROSCI, V7, DOI 10.3389/fncel.2013.00060
- Chang M, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0163749
- Chen CH, 2013, P NATL ACAD SCI USA, V110, P17089, DOI 10.1073/pnas.1308091110
- DeLisi LE, 1997, SCHIZOPHR RES, V23, P119, DOI 10.1016/S0920-9964(96)00079-5
- Dickerson BC, 2009, NEUROBIOL AGING, V30, P432, DOI 10.1016/j.neurobiolaging.2007.07.022
- Dukart J, 2017, J PSYCHIATR NEUROSCI, V42, P307, DOI 10.1503/jpn.160179
- FEINBERG I, 1983, J PSYCHIAT RES, V17, P319, DOI 10.1016/0022-3956(82)90038-3
- Fornito A, 2009, SCHIZOPHR RES, V108, P104, DOI 10.1016/j.schres.2008.12.011
- Fornito A, 2008, BIOL PSYCHIAT, V64, P758, DOI 10.1016/j.biopsych.2008.05.032
- Frank MJ, 2008, SCHIZOPHRENIA BULL, V34, P1008, DOI 10.1093/schbul/sbn123
- Frick LR, 2013, CLIN DEV IMMUNOL, DOI 10.1155/2013/608654
- Fusar-Poli P, 2013, NEUROSCI BIOBEHAV R, V37, P1680, DOI 10.1016/j.neubiorev.2013.06.001
- Fusar-Poli P, 2011, NEUROSCI BIOBEHAV R, V35, P1175, DOI 10.1016/j.neubiorev.2010.12.005
- Fusar-Poli P, 2012, SCHIZOPHRENIA BULL, V38, P1297, DOI 10.1093/schbul/sbr134
- Fusar-Poli P, 2013, JAMA PSYCHIAT, V70, P107, DOI 10.1001/jamapsychiatry.2013.269
- Hafner H, 2004, EUR ARCH PSY CLIN N, V254, P117, DOI 10.1007/s00406-004-0508-z
- Haller S, 2009, RADIOLOGY, V250, P212, DOI 10.1148/radiol.2501072153
- Horn W., 1983, L P S LEISTUNGSPRUFS
- Huys QJM, 2015, CLIN PSYCHOL SCI, V3, P400, DOI 10.1177/2167702614562040
- Jimeno N, 2020, SCHIZOPHR B
- Jung Wi Hoon, 2012, Front Psychiatry, V3, P101, DOI 10.3389/fpsyt.2012.00101
- Jung WH, 2011, SCHIZOPHRENIA BULL, V37, P839, DOI 10.1093/schbul/sbp151
- Klauser P, 2015, SCHIZOPHRENIA BULL, V41, P1285, DOI 10.1093/schbul/sbv012
- Koutsouleris N, 2014, SCHIZOPHRENIA BULL, V40, P1140, DOI 10.1093/schbul/sbt142
- Koutsouleris N, 2010, SCHIZOPHR RES, V123, P175, DOI 10.1016/j.schres.2010.08.032
- Koutsouleris N, 2009, BRIT J PSYCHIAT, V195, P218, DOI 10.1192/bjp.bp.108.052068
- Lehrl S, 1999, MEHRFACHWAHL WORTSCH, P4
- Li G, 2016, BRAIN STRUCT FUNCT, V221, P447, DOI 10.1007/s00429-014-0917-3
- Li XB, 2012, PSYCHIAT RES-NEUROIM, V201, P182, DOI 10.1016/j.pscychresns.2011.07.017
- Lo Cascio N, 2016, EUR CHILD ADOLES PSY, V25, P1091, DOI 10.1007/s00787-016-0832-7
- Lyall AE, 2015, CEREB CORTEX, V25, P2204, DOI 10.1093/cercor/bhu027
- McEwen BS, 2011, ANNU REV MED, V62, P431, DOI 10.1146/annurev-med-052209-100430
- McGlashan TH, 2001, STRUCTURED INTERVIEW
- Metzler S, 2014, PSYCHOL MED, V44, P3543, DOI 10.1017/S0033291714001007
- Meyer U, 2013, PROG NEURO-PSYCHOPH, V42, P20, DOI 10.1016/j.pnpbp.2011.11.003
- Muraki K, 2015, FRONT NEUROSCI-SWITZ, V9, DOI 10.3389/fnins.2015.00074
- Nygaard GO, 2015, MULT SCLER J, V21, P402, DOI 10.1177/1352458514543811
- OLDFIELD RC, 1971, NEUROPSYCHOLOGIA, V9, P97, DOI 10.1016/0028-3932(71)90067-4
- Organization WH, 1992, ICD 10 ICD 10 CLASS, P374
- Palaniyappan L, 2017, J PSYCHIATR NEUROSCI, V42, P294, DOI 10.1503/jpn.170137
- Palaniyappan L, 2013, NEUROPSYCHOPHARMACOL, V38, P1808, DOI 10.1038/npp.2013.80
- Panizzon MS, 2009, CEREB CORTEX, V19, P2728, DOI 10.1093/cercor/bhp026
- Pontious A, 2008, DEV NEUROSCI-BASEL, V30, P24, DOI 10.1159/000109848
- Prasad KM, 2010, SCHIZOPHR RES, V116, P143, DOI 10.1016/j.schres.2009.11.003
- R Core Team, 2015, R LANG ENV STAT COMP
- RAKIC P, 1988, SCIENCE, V241, P170, DOI 10.1126/science.3291116
- Rimol LM, 2012, BIOL PSYCHIAT, V71, P552, DOI 10.1016/j.biopsych.2011.11.026
- Ruhrmann S, 2003, PHARMACOPSYCHIATRY, V36, pS162
- Sakuma A, 2018, ASIAN J PSYCHIATR, V37, P167, DOI 10.1016/j.ajp.2018.09.009
- Schnack HG, 2015, CEREB CORTEX, V25, P1608, DOI 10.1093/cercor/bht357
- Schultze-Lutter F, 2015, EUR PSYCHIAT, V30, P405, DOI 10.1016/j.eurpsy.2015.01.010
- Schultze-Lutter F, 2010, SCHIZOPHRENIA PRONEN
- Schultze-Lutter F, 2007, SCHIZOPHRENIA PRONEN
- Schultze-Lutter F, 2011, SCHIZOPHRENIA BULL, V37, P653, DOI 10.1093/schbul/sbr039
- Schultze-Lutter F, 2010, SCHIZOPHRENIA BULL, V36, P182, DOI 10.1093/schbul/sbn072
- Sheehan DV, 1998, J CLIN PSYCHIAT, V59, P22, DOI 10.4088/JCP.09m05305whi
- Sled JG, 1998, IEEE T MED IMAGING, V17, P653, DOI 10.1109/42.730409
- Smieskova R, 2009, CURR PHARM DESIGN, V15, P2535, DOI 10.2174/138161209788957456
- Stephan KE, 2006, BIOL PSYCHIAT, V59, P929, DOI 10.1016/j.biopsych.2005.10.005
- Takayanagi Y, 2017, SCHIZOPHRENIA BULL, V43, P907, DOI 10.1093/schbul/sbw167
- Theodoridou A, 2014, FRONT PUBLIC HEALTH, V2, DOI 10.3389/fpubh.2014.00166
- Thermenos HW, 2013, AM J MED GENET B, V162, P604, DOI 10.1002/ajmg.b.32170
- Vita A, 2015, BIOL PSYCHIAT, V78, P403, DOI 10.1016/j.biopsych.2015.02.008
- Wierenga LM, 2014, NEUROIMAGE, V87, P120, DOI 10.1016/j.neuroimage.2013.11.010
- Wotruba D, 2014, FRONT BEHAV NEUROSCI, V8, DOI 10.3389/fnbeh.2014.00382
- Wotruba D, 2014, SCHIZOPHRENIA BULL, V40, P1095, DOI 10.1093/schbul/sbt161
- Yung AR, 1998, BRIT J PSYCHIAT, V172, P14, DOI 10.1192/S0007125000297602
- Zhao C, 2018, PROG NEURO-PSYCHOPH, V83, P27, DOI 10.1016/j.pnpbp.2017.12.017
- Ziermans TB, 2012, SCHIZOPHRENIA BULL, V38, P519, DOI 10.1093/schbul/sbq113