BACKGROUND: Schizophrenia (SZ) is associated with functional decoupling between cortical regions, but we do not know whether and where this occurs in low-frequency electromagnetic oscillations. The goal of this study was to use magnetoencephalography (MEG) to identify brain regions that exhibit abnormal resting-state connectivity in the alpha frequency range in patients with schizophrenia and investigate associations between functional connectivity and clinical symptoms in stable outpatient participants. METHODS: Thirty patients with SZ and 15 healthy comparison participants were scanned in resting-state MEG (eyes closed). Functional connectivity MEG source data were reconstructed globally in the alpha range, quantified by the mean imaginary coherence between a voxel and the rest of the brain. RESULTS: In patients, decreased connectivity was observed in left prefrontal cortex (PFC) and right superior temporal cortex, whereas increased connectivity was observed in left extrastriate cortex and the right inferior PFC. Functional connectivity of left inferior parietal cortex was negatively related to positive symptoms. Low left PFC connectivity was associated with negative symptoms. Functional connectivity of midline PFC was negatively correlated with depressed symptoms. Functional connectivity of right PFC was associated with other (cognitive) symptoms. CONCLUSIONS: This study demonstrates direct functional disconnection in SZ between specific cortical fields within low-frequency resting-state oscillations. Impaired alpha coupling in frontal, parietal, and temporal regions is associated with clinical symptoms in these stable outpatients. Our findings indicate that this level of functional disconnection between cortical regions is an important treatment target in SZ. 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
BACKGROUND:Schizophrenia (SZ) is associated with functional decoupling between cortical regions, but we do not know whether and where this occurs in low-frequency electromagnetic oscillations. The goal of this study was to use magnetoencephalography (MEG) to identify brain regions that exhibit abnormal resting-state connectivity in the alpha frequency range in patients with schizophrenia and investigate associations between functional connectivity and clinical symptoms in stable outpatientparticipants. METHODS: Thirty patients with SZ and 15 healthy comparison participants were scanned in resting-state MEG (eyes closed). Functional connectivity MEG source data were reconstructed globally in the alpha range, quantified by the mean imaginary coherence between a voxel and the rest of the brain. RESULTS: In patients, decreased connectivity was observed in left prefrontal cortex (PFC) and right superior temporal cortex, whereas increased connectivity was observed in left extrastriate cortex and the right inferior PFC. Functional connectivity of left inferior parietal cortex was negatively related to positive symptoms. Low left PFC connectivity was associated with negative symptoms. Functional connectivity of midline PFC was negatively correlated with depressed symptoms. Functional connectivity of right PFC was associated with other (cognitive) symptoms. CONCLUSIONS: This study demonstrates direct functional disconnection in SZ between specific cortical fields within low-frequency resting-state oscillations. Impaired alpha coupling in frontal, parietal, and temporal regions is associated with clinical symptoms in these stable outpatients. Our findings indicate that this level of functional disconnection between cortical regions is an important treatment target in SZ. 2011 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Authors: Lindsay Rutter; Frederick W Carver; Tom Holroyd; Sreenivasan Rajamoni Nadar; Judy Mitchell-Francis; Jose Apud; Daniel R Weinberger; Richard Coppola Journal: Hum Brain Mapp Date: 2009-10 Impact factor: 5.038
Authors: Stephen M Lawrie; Christian Buechel; Heather C Whalley; Christopher D Frith; Karl J Friston; Eve C Johnstone Journal: Biol Psychiatry Date: 2002-06-15 Impact factor: 13.382
Authors: Kamalini G Ranasinghe; Jungho Cha; Leonardo Iaccarino; Leighton B Hinkley; Alexander J Beagle; Julie Pham; William J Jagust; Bruce L Miller; Katherine P Rankin; Gil D Rabinovici; Keith A Vossel; Srikantan S Nagarajan Journal: Sci Transl Med Date: 2020-03-11 Impact factor: 17.956
Authors: Yolanda C Lau; Leighton B N Hinkley; Polina Bukshpun; Zoe A Strominger; Mari L J Wakahiro; Simon Baron-Cohen; Carrie Allison; Bonnie Auyeung; Rita J Jeremy; Srikantan S Nagarajan; Elliott H Sherr; Elysa J Marco Journal: J Autism Dev Disord Date: 2013-05
Authors: Sheraz Khan; Javeria A Hashmi; Fahimeh Mamashli; Konstantinos Michmizos; Manfred G Kitzbichler; Hari Bharadwaj; Yousra Bekhti; Santosh Ganesan; Keri-Lee A Garel; Susan Whitfield-Gabrieli; Randy L Gollub; Jian Kong; Lucia M Vaina; Kunjan D Rana; Steven M Stufflebeam; Matti S Hämäläinen; Tal Kenet Journal: Neuroimage Date: 2018-02-17 Impact factor: 6.556
Authors: Corby L Dale; Ethan G Brown; Alexander B Herman; Leighton B N Hinkley; Karuna Subramaniam; Melissa Fisher; Sophia Vinogradov; Srikantan S Nagarajan Journal: Schizophr Res Date: 2019-10-21 Impact factor: 4.939
Authors: Maher A Quraan; Andrea B Protzner; Zafiris J Daskalakis; Peter Giacobbe; Chris W Tang; Sidney H Kennedy; Andres M Lozano; Mary P McAndrews Journal: Neuropsychopharmacology Date: 2013-11-28 Impact factor: 7.853
Authors: Jose A Cortes-Briones; John D Cahill; Patrick D Skosnik; Daniel H Mathalon; Ashley Williams; R Andrew Sewell; Brian J Roach; Judith M Ford; Mohini Ranganathan; Deepak Cyril D'Souza Journal: Biol Psychiatry Date: 2015-03-30 Impact factor: 13.382
Authors: Christina Andreou; Guido Nolte; Gregor Leicht; Nenad Polomac; Ileana L Hanganu-Opatz; Martin Lambert; Andreas K Engel; Christoph Mulert Journal: Schizophr Bull Date: 2014-08-28 Impact factor: 9.306