BACKGROUND: Functional neuroimaging and electrophysiologic studies have found disturbed frontotemporal interaction in schizophrenia. We sought to determine whether abnormalities of frontotemporal connectivity are trait markers of genetic risk for schizophrenia. METHODS: We investigated 64 schizophrenia patients, 79 of their clinically unaffected siblings, and 88 unrelated normal controls with an auditory oddball electroencephalogram (EEG) evoked potential paradigm. We measured: 1) frontotemporal event-related EEG-coherence (i.e. a measure of functional connectivity); and 2) we performed structural equation modeling of the effective connectivity between the frontal P300 and temporoparietal P300-amplitude. RESULTS: Schizophrenic patients and their siblings showed a reduction of frontotemporal coherence. At peak activation during the P300 time-window, a negative ("inhibitory") frontotemporal path coefficient was found in normal controls, whereas a positive coefficient was seen in schizophrenic patients with siblings being intermediate. Intra-class correlations between sib-pairs and relative risk estimates of the applied connectivity measures were non-significant. Topographic correlation matrix analyses suggested that the altered functional and effective frontotemporal connectivity indirectly reflect regional abnormalities of increased activation variance. CONCLUSIONS: Impaired interaction of the frontotemporal macro-circuit indirectly reflects genetically determined abnormalities of frontal and temporoparietal microcircuits. The reasons why frontotemporal connectivity appears to be a poor predictor of genetic risk for schizophrenia are discussed.
BACKGROUND: Functional neuroimaging and electrophysiologic studies have found disturbed frontotemporal interaction in schizophrenia. We sought to determine whether abnormalities of frontotemporal connectivity are trait markers of genetic risk for schizophrenia. METHODS: We investigated 64 schizophreniapatients, 79 of their clinically unaffected siblings, and 88 unrelated normal controls with an auditory oddball electroencephalogram (EEG) evoked potential paradigm. We measured: 1) frontotemporal event-related EEG-coherence (i.e. a measure of functional connectivity); and 2) we performed structural equation modeling of the effective connectivity between the frontal P300 and temporoparietal P300-amplitude. RESULTS:Schizophrenicpatients and their siblings showed a reduction of frontotemporal coherence. At peak activation during the P300 time-window, a negative ("inhibitory") frontotemporal path coefficient was found in normal controls, whereas a positive coefficient was seen in schizophrenicpatients with siblings being intermediate. Intra-class correlations between sib-pairs and relative risk estimates of the applied connectivity measures were non-significant. Topographic correlation matrix analyses suggested that the altered functional and effective frontotemporal connectivity indirectly reflect regional abnormalities of increased activation variance. CONCLUSIONS: Impaired interaction of the frontotemporal macro-circuit indirectly reflects genetically determined abnormalities of frontal and temporoparietal microcircuits. The reasons why frontotemporal connectivity appears to be a poor predictor of genetic risk for schizophrenia are discussed.
Authors: Andrew Zalesky; Alex Fornito; Marc L Seal; Luca Cocchi; Carl-Fredrik Westin; Edward T Bullmore; Gary F Egan; Christos Pantelis Journal: Biol Psychiatry Date: 2010-10-29 Impact factor: 13.382
Authors: Zachary D Moran; Terrance J Williams; Peter Bachman; Keith H Nuechterlein; Kenneth L Subotnik; Cindy M Yee Journal: Schizophr Res Date: 2012-07-25 Impact factor: 4.939
Authors: Agnes S Chan; Mei-Chun Cheung; Sophia L Sze; Winnie Wing-Man Leung; Dejian Shi Journal: Evid Based Complement Alternat Med Date: 2010-09-22 Impact factor: 2.629