Lena Palaniyappan1, Peter F Liddle. 1. Division of Psychiatry, University of Nottingham, South Block, Queen's Medical Centre, Nottingham, United Kingdom. Lena.Palaniyappan@nottingham.ac.uk
Abstract
BACKGROUND: Schizophrenia is considered to be a disorder of cerebral connectivity associated with disturbances of cortical development. Disturbances in connectivity at an early period of cortical maturation can result in widespread defects in gyrification. Investigating the anatomic distribution of gyrification defects can provide important information about neurodevelopment in patients with schizophrenia. METHODS: We undertook an automated surface-based morphometric assessment of gyrification on 3-dimensionally reconstructed cortical surfaces across multiple vertices that cover the entire cortex. We used a sample from our previous research of 57 patients (50 men) with schizophrenia and 41 controls (39 men) in whom we had tested a specific hypothesis regarding presence of both hypo and hypergyria in the prefrontal cortex using a frontal region-of-interest approach. RESULTS: Regions with significant reductions in gyrification (hypogyria) were seen predominantly in the left hemisphere, involving the insula and several regions of the multimodal association cortex. Although the prefrontal hypergyria documented earlier did not survive the statistical correction required for a whole brain search (cluster inclusion at p = 0.0001), significant hypergyric frontal clusters emerged when the threshold was lowered (cluster inclusion at p = 0.05). In the insula, a reduction in gyrification was related to reduced cortical thickness in patients with schizophrenia. LIMITATIONS: We studied a sample of patients taking antipsychotic medications, which could have confounded the results. Our sample was predominantly male, limiting the generalizability of our findings. CONCLUSION: Our observations suggest that the disturbances in cortical gyrification seen in patients with schizophrenia might be related to a disrupted interaction between the paralimbic and the multimodal association cortex and thus might contribute to the pathogenesis of the illness.
BACKGROUND:Schizophrenia is considered to be a disorder of cerebral connectivity associated with disturbances of cortical development. Disturbances in connectivity at an early period of cortical maturation can result in widespread defects in gyrification. Investigating the anatomic distribution of gyrification defects can provide important information about neurodevelopment in patients with schizophrenia. METHODS: We undertook an automated surface-based morphometric assessment of gyrification on 3-dimensionally reconstructed cortical surfaces across multiple vertices that cover the entire cortex. We used a sample from our previous research of 57 patients (50 men) with schizophrenia and 41 controls (39 men) in whom we had tested a specific hypothesis regarding presence of both hypo and hypergyria in the prefrontal cortex using a frontal region-of-interest approach. RESULTS: Regions with significant reductions in gyrification (hypogyria) were seen predominantly in the left hemisphere, involving the insula and several regions of the multimodal association cortex. Although the prefrontal hypergyria documented earlier did not survive the statistical correction required for a whole brain search (cluster inclusion at p = 0.0001), significant hypergyric frontal clusters emerged when the threshold was lowered (cluster inclusion at p = 0.05). In the insula, a reduction in gyrification was related to reduced cortical thickness in patients with schizophrenia. LIMITATIONS: We studied a sample of patients taking antipsychotic medications, which could have confounded the results. Our sample was predominantly male, limiting the generalizability of our findings. CONCLUSION: Our observations suggest that the disturbances in cortical gyrification seen in patients with schizophrenia might be related to a disrupted interaction between the paralimbic and the multimodal association cortex and thus might contribute to the pathogenesis of the illness.
Authors: William W Seeley; Vinod Menon; Alan F Schatzberg; Jennifer Keller; Gary H Glover; Heather Kenna; Allan L Reiss; Michael D Greicius Journal: J Neurosci Date: 2007-02-28 Impact factor: 6.167
Authors: Maria S M Wai; Chun Shi; W H Kwong; Lihong Zhang; Wai Ping Lam; David T Yew Journal: Histochem Cell Biol Date: 2008-09-02 Impact factor: 4.304
Authors: Peter Falkai; William G Honer; Thomas Kamer; Simone Dustert; Kai Vogeley; Thomas Schneider-Axmann; Indra Dani; Michael Wagner; Marcella Rietschel; Daniel J Müller; Thomas G Schulze; Wolfgang Gaebel; Joachim Cordes; Helmut Schönell; Hans H Schild; Wolfgang Block; Frank Träber; Helmuth Steinmetz; Wolfgang Maier; Ralf Tepest Journal: J Psychiatr Res Date: 2006-10-30 Impact factor: 4.791
Authors: Marie Schaer; Meritxell Bach Cuadra; Lucas Tamarit; François Lazeyras; Stephan Eliez; Jean-Philippe Thiran Journal: IEEE Trans Med Imaging Date: 2008-02 Impact factor: 10.048
Authors: M Alejandra Infante; Eileen M Moore; Amanda Bischoff-Grethe; Robyn Migliorini; Sarah N Mattson; Edward P Riley Journal: Brain Res Date: 2015-08-12 Impact factor: 3.252
Authors: Anna R Docherty; Donald J Hagler; Matthew S Panizzon; Michael C Neale; Lisa T Eyler; Christine Fennema-Notestine; Carol E Franz; Amy Jak; Michael J Lyons; Daniel A Rinker; Wesley K Thompson; Ming T Tsuang; Anders M Dale; William S Kremen Journal: Neuroimage Date: 2014-11-26 Impact factor: 6.556
Authors: Eric A Nelson; Nina V Kraguljac; David M White; Ripu D Jindal; Ah L Shin; Adrienne C Lahti Journal: Can J Psychiatry Date: 2020-02-05 Impact factor: 4.356
Authors: James J Levitt; Paul G Nestor; Marek Kubicki; Amanda E Lyall; Fan Zhang; Tammy Riklin-Raviv; Lauren J O Donnell; Robert W McCarley; Martha E Shenton; Yogesh Rathi Journal: Schizophr Bull Date: 2020-07-08 Impact factor: 9.306
Authors: Pranav Nanda; Neeraj Tandon; Ian T Mathew; Christoforos I Giakoumatos; Hulegar A Abhishekh; Brett A Clementz; Godfrey D Pearlson; John Sweeney; Carol A Tamminga; Matcheri S Keshavan Journal: Biol Psychiatry Date: 2013-11-23 Impact factor: 13.382
Authors: Gang Li; Li Wang; Feng Shi; Amanda E Lyall; Weili Lin; John H Gilmore; Dinggang Shen Journal: J Neurosci Date: 2014-03-19 Impact factor: 6.167