OBJECTIVE: The authors investigated the modulating effects of biological sex and age on regional decreases in cortical gray matter and increases in subarachnoid CSF in 25 patients with chronic schizophrenia and 28 group-matched healthy comparison subjects. METHOD: Computational cortical pattern-matching methods were employed to measure the local proportions of gray matter and subarachnoid CSF at thousands of homologous cortical surface locations in each subject using high-resolution magnetic resonance images. Principal-component analysis reduced tissue proportion values obtained at each cortical surface point into component scores for each subject. Principal-component analysis scores were used as dependent variables in statistical analyses that included diagnosis, age, and sex as predictor variables. To reveal more regional changes in tissue proportions, statistical differences in gray matter and CSF were compared at each cortical surface location and mapped in three dimensions. RESULTS: Principal-component analyses revealed main effects of diagnosis, sex, and age for the CSF increases seen in the schizophrenia patients, in male subjects, and in association with age. Significant diagnosis-by-age, diagnosis-by-sex, and diagnosis-by-sex-by-age interactions were also observed, revealing CSF increases in male patients at younger ages. Statistical maps showed regional increases in subarachnoid CSF in association with the above effects. For cortical gray matter measurements, only main effects of age were observed. CONCLUSIONS: Regionally specific increases in sulcal and subarachnoid CSF occur during adulthood and appear prematurely in male schizophrenia patients. Cortical gray matter reductions show aging effects but are below the threshold of significance in schizophrenia.
OBJECTIVE: The authors investigated the modulating effects of biological sex and age on regional decreases in cortical gray matter and increases in subarachnoid CSF in 25 patients with chronic schizophrenia and 28 group-matched healthy comparison subjects. METHOD: Computational cortical pattern-matching methods were employed to measure the local proportions of gray matter and subarachnoid CSF at thousands of homologous cortical surface locations in each subject using high-resolution magnetic resonance images. Principal-component analysis reduced tissue proportion values obtained at each cortical surface point into component scores for each subject. Principal-component analysis scores were used as dependent variables in statistical analyses that included diagnosis, age, and sex as predictor variables. To reveal more regional changes in tissue proportions, statistical differences in gray matter and CSF were compared at each cortical surface location and mapped in three dimensions. RESULTS: Principal-component analyses revealed main effects of diagnosis, sex, and age for the CSF increases seen in the schizophreniapatients, in male subjects, and in association with age. Significant diagnosis-by-age, diagnosis-by-sex, and diagnosis-by-sex-by-age interactions were also observed, revealing CSF increases in male patients at younger ages. Statistical maps showed regional increases in subarachnoid CSF in association with the above effects. For cortical gray matter measurements, only main effects of age were observed. CONCLUSIONS: Regionally specific increases in sulcal and subarachnoid CSF occur during adulthood and appear prematurely in male schizophreniapatients. Cortical gray matter reductions show aging effects but are below the threshold of significance in schizophrenia.
Authors: Babak A Ardekani; Arthika Bappal; Debra D'Angelo; Manzar Ashtari; Todd Lencz; Philip R Szeszko; Pamela D Butler; Daniel C Javitt; Kelvin O Lim; Jan Hrabe; Jay Nierenberg; Craig A Branch; Matthew J Hoptman Journal: Neuroreport Date: 2005-09-08 Impact factor: 1.837
Authors: Lei Wang; Malini Hosakere; Joshua C L Trein; Alex Miller; J Tilak Ratnanather; Deanna M Barch; Paul A Thompson; Anqi Qiu; Mokhtar H Gado; Michael I Miller; John G Csernansky Journal: Schizophr Res Date: 2007-04-11 Impact factor: 4.939
Authors: Anqi Qiu; Laurent Younes; Lei Wang; J Tilak Ratnanather; Sarah K Gillepsie; Gillian Kaplan; John Csernansky; Michael I Miller Journal: Neuroimage Date: 2007-05-18 Impact factor: 6.556
Authors: Nikolaos Koutsouleris; Christian Gaser; Katja Patschurek-Kliche; Johanna Scheuerecker; Ronald Bottlender; Petra Decker; Gisela Schmitt; Maximilian Reiser; Hans-Jürgen Möller; Eva M Meisenzahl Journal: Hum Brain Mapp Date: 2011-08-30 Impact factor: 5.038
Authors: Veronica A Murphy; Mark D Shen; Sun Hyung Kim; Emil Cornea; Martin Styner; John H Gilmore Journal: Biol Psychiatry Cogn Neurosci Neuroimaging Date: 2020-04-01
Authors: Toshiyuki Ohtani; Elisabetta Del Re; James J Levitt; Margaret Niznikiewicz; Jun Konishi; Takeshi Asami; Toshiro Kawashima; Tomohide Roppongi; Paul G Nestor; Martha E Shenton; Dean F Salisbury; Robert W McCarley Journal: Brain Struct Funct Date: 2018-04-18 Impact factor: 3.270
Authors: Katherine L Narr; Nathan Hageman; Roger P Woods; Liberty S Hamilton; Kristi Clark; Owen Phillips; David W Shattuck; Robert F Asarnow; Arthur W Toga; Keith H Nuechterlein Journal: Psychiatry Res Date: 2008-12-10 Impact factor: 3.222
Authors: Min-Seong Koo; James J Levitt; Dean F Salisbury; Motoaki Nakamura; Martha E Shenton; Robert W McCarley Journal: Arch Gen Psychiatry Date: 2008-07