Literature DB >> 10435203

Cumulative effect of anatomical risk factors for schizophrenia: an MRI study.

C M Leonard1, J M Kuldau, J I Breier, P A Zuffante, E R Gautier, D C Heron, E M Lavery, J Packing, S A Williams, C A DeBose.   

Abstract

BACKGROUND: Although schizophrenic and control subjects differ on a variety of neuroanatomical measures, the specificity and sensitivity of any one measure for differentiating between groups are low. This study investigated the cumulative effect of deviant brain structure on diagnosis.
METHODS: Hemisphere and third ventricle volume and the normalized (Talairach) location of three association cortex sulcal landmarks were measured on high-resolution MRI scans in 37 male patients with schizophrenia and 33 male control subjects matched on age, handedness, and parental socioeconomic status.
RESULTS: While there were few group differences on individual anatomical measures, the 10 variables reliably discriminated between the two groups when used in concert in a discriminant function analysis (F[10.59] = 3.6, p < .0009) with 77% of the subjects correctly classified. Five of the measures (left posterior cingulate, left inferior frontal sulcus, right sylvian fissure, and left and right halves of the third ventricle) correlated significantly with the discriminant function (p < .005).
CONCLUSIONS: This is the first study to demonstrate that schizophrenics can be distinguished from matched controls on the basis of brain anatomy alone. The risk of schizophrenia may depend on the total amount of neural deviance, rather than on anomalies in a single structure or circuit.

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Year:  1999        PMID: 10435203     DOI: 10.1016/s0006-3223(99)00052-9

Source DB:  PubMed          Journal:  Biol Psychiatry        ISSN: 0006-3223            Impact factor:   13.382


  10 in total

Review 1.  Exploiting human anatomical variability as a link between genome and cognome.

Authors:  C M Leonard; M A Eckert; J M Kuldau
Journal:  Genes Brain Behav       Date:  2006       Impact factor: 3.449

2.  Age prediction on the basis of brain anatomical measures.

Authors:  S A Valizadeh; J Hänggi; S Mérillat; L Jäncke
Journal:  Hum Brain Mapp       Date:  2016-11-03       Impact factor: 5.038

Review 3.  What risk factors tell us about the causes of schizophrenia and related psychoses.

Authors:  J Kelly; R M Murray
Journal:  Curr Psychiatry Rep       Date:  2000-10       Impact factor: 5.285

Review 4.  A review of MRI findings in schizophrenia.

Authors:  M E Shenton; C C Dickey; M Frumin; R W McCarley
Journal:  Schizophr Res       Date:  2001-04-15       Impact factor: 4.939

5.  Effect of D-amino acid oxidase activator (DAOA; G72) on brain function during verbal fluency.

Authors:  Diana P Prata; Sergio A Papagni; Andrea Mechelli; Cynthia H Y Fu; Joseph Kambeitz; Marco Picchioni; Fergus Kane; Sridevi Kalidindi; Colm McDonald; Eugenia Kravariti; Timothea Toulopoulou; Elvira Bramon; Muriel Walshe; Robin Murray; David A Collier; Philip K McGuire
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

6.  Of differing methods, disputed estimates and discordant interpretations: the meta-analytical multiverse of brain volume and IQ associations.

Authors:  Jakob Pietschnig; Daniel Gerdesmann; Michael Zeiler; Martin Voracek
Journal:  R Soc Open Sci       Date:  2022-05-11       Impact factor: 3.653

7.  Exploratory structural equation modeling of resting-state fMRI: applicability of group models to individual subjects.

Authors:  G Andrew James; Mary E Kelley; R Cameron Craddock; Paul E Holtzheimer; Boadie W Dunlop; Charles B Nemeroff; Helen S Mayberg; Xiaoping P Hu
Journal:  Neuroimage       Date:  2009-01-07       Impact factor: 6.556

Review 8.  Schizophrenia: A Survey of Artificial Intelligence Techniques Applied to Detection and Classification.

Authors:  Joel Weijia Lai; Candice Ke En Ang; U Rajendra Acharya; Kang Hao Cheong
Journal:  Int J Environ Res Public Health       Date:  2021-06-05       Impact factor: 3.390

9.  Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research.

Authors:  Eva Janousova; Giovanni Montana; Tomas Kasparek; Daniel Schwarz
Journal:  Front Neurosci       Date:  2016-08-25       Impact factor: 4.677

10.  Differentiation of schizophrenia using structural MRI with consideration of scanner differences: A real-world multisite study.

Authors:  Kiyotaka Nemoto; Tetsuya Shimokawa; Masaki Fukunaga; Fumio Yamashita; Masashi Tamura; Hidenaga Yamamori; Yuka Yasuda; Hirotsugu Azechi; Noriko Kudo; Yoshiyuki Watanabe; Mikio Kido; Tsutomu Takahashi; Shinsuke Koike; Naohiro Okada; Yoji Hirano; Toshiaki Onitsuka; Hidenori Yamasue; Michio Suzuki; Kiyoto Kasai; Ryota Hashimoto; Tetsuaki Arai
Journal:  Psychiatry Clin Neurosci       Date:  2019-11-04       Impact factor: 5.188

  10 in total

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