OBJECTIVE: The "default network" represents a baseline condition of brain function and is of interest in schizophrenia research because its component brain regions are believed to be aberrant in the disorder. We hypothesized that magnetoencephalographic (MEG) source localization analysis would reveal abnormal resting activity within particular frequency bands in schizophrenia. EXPERIMENTAL DESIGN: Eyes-closed resting state MEG signals were collected for two comparison groups. Patients with schizophrenia (N = 38) were age-gender matched with healthy control subjects (N = 38), and with a group of unmedicated unaffected siblings of patients with schizophrenia (N = 38). To localize 3D-brain regional differences, synthetic aperture magnetometry was calculated across established frequency bands as follows: delta (0.9-4 Hz), theta (4-8 Hz), alpha (8-14 Hz), beta (14-30 Hz), gamma (30-80 Hz), and super-gamma (80-150 Hz). PRINCIPLE OBSERVATIONS: Patients with schizophrenia showed significantly reduced activation in the gamma frequency band in the posterior region of the medial parietal cortex. As a group, unaffected siblings of schizophrenia patients also showed significantly reduced activation in the gamma bandwidth across similar brain regions. Moreover, using the significant region for the patients and examining the gamma band power gave an odds ratio of 6:1 for reductions of two standard deviations from the mean. This suggests that the measure might be the basis of an intermediate phenotype. CONCLUSIONS: MEG resting state analysis adds to the evidence that schizophrenic patients experience this condition very differently than healthy controls. Whether this baseline difference relates to network abnormalities remains to be seen.
OBJECTIVE: The "default network" represents a baseline condition of brain function and is of interest in schizophrenia research because its component brain regions are believed to be aberrant in the disorder. We hypothesized that magnetoencephalographic (MEG) source localization analysis would reveal abnormal resting activity within particular frequency bands in schizophrenia. EXPERIMENTAL DESIGN: Eyes-closed resting state MEG signals were collected for two comparison groups. Patients with schizophrenia (N = 38) were age-gender matched with healthy control subjects (N = 38), and with a group of unmedicated unaffected siblings of patients with schizophrenia (N = 38). To localize 3D-brain regional differences, synthetic aperture magnetometry was calculated across established frequency bands as follows: delta (0.9-4 Hz), theta (4-8 Hz), alpha (8-14 Hz), beta (14-30 Hz), gamma (30-80 Hz), and super-gamma (80-150 Hz). PRINCIPLE OBSERVATIONS: Patients with schizophrenia showed significantly reduced activation in the gamma frequency band in the posterior region of the medial parietal cortex. As a group, unaffected siblings of schizophreniapatients also showed significantly reduced activation in the gamma bandwidth across similar brain regions. Moreover, using the significant region for the patients and examining the gamma band power gave an odds ratio of 6:1 for reductions of two standard deviations from the mean. This suggests that the measure might be the basis of an intermediate phenotype. CONCLUSIONS: MEG resting state analysis adds to the evidence that schizophrenicpatients experience this condition very differently than healthy controls. Whether this baseline difference relates to network abnormalities remains to be seen.
Authors: B Mazoyer; L Zago; E Mellet; S Bricogne; O Etard; O Houdé; F Crivello; M Joliot; L Petit; N Tzourio-Mazoyer Journal: Brain Res Bull Date: 2001-02 Impact factor: 4.077
Authors: Apostolos P Georgopoulos; Elissaios Karageorgiou; Arthur C Leuthold; Scott M Lewis; Joshua K Lynch; Aurelio A Alonso; Zaheer Aslam; Adam F Carpenter; Angeliki Georgopoulos; Laura S Hemmy; Ioannis G Koutlas; Frederick J P Langheim; J Riley McCarten; Susan E McPherson; José V Pardo; Patricia J Pardo; Gareth J Parry; Susan J Rottunda; Barbara M Segal; Scott R Sponheim; John J Stanwyck; Massoud Stephane; Joseph J Westermeyer Journal: J Neural Eng Date: 2007-08-27 Impact factor: 5.379
Authors: H E Hulshoff Pol; H G Schnack; R C Mandl; N E van Haren; H Koning; D L Collins; A C Evans; R S Kahn Journal: Arch Gen Psychiatry Date: 2001-12
Authors: Abigail G Garrity; Godfrey D Pearlson; Kristen McKiernan; Dan Lloyd; Kent A Kiehl; Vince D Calhoun Journal: Am J Psychiatry Date: 2007-03 Impact factor: 18.112
Authors: Tal Kenet; Elena V Orekhova; Hari Bharadwaj; Nandita R Shetty; Emily Israeli; Adrian K C Lee; Yigal Agam; Mikael Elam; Robert M Joseph; Matti S Hämäläinen; Dara S Manoach Journal: Neuroimage Date: 2012-03-11 Impact factor: 6.556
Authors: Leighton B N Hinkley; Sophia Vinogradov; Adrian G Guggisberg; Melissa Fisher; Anne M Findlay; Srikantan S Nagarajan Journal: Biol Psychiatry Date: 2011-09-08 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