Archival ReportDifferences in Resting-State Functional Magnetic Resonance Imaging Functional Network Connectivity Between Schizophrenia and Psychotic Bipolar Probands and Their Unaffected First-Degree Relatives
Section snippets
Subjects
We assessed 118 normal control subjects, 70 first-degree relatives of SZ, 52 BP first-degree relatives, 64 psychotic BP, and 70 SZ patients (age-, gender-, and ethnicity-matched to control subjects) (Table 1). The DSM-IV (50) consensus diagnoses were established by trained clinical raters and senior diagnosticians with all clinical data and Structured Clinical Interviews for DSM Diagnoses (51) interviews: inter-rater reliability was >.90 among raters. Probands were clinically stable with
Results
The ICA identified 16 independent RSNs of interest, yielding 120 different pair-wise network connections/subject. A detailed region list (with cluster spans) within each significantly modulated functional network is provided in Table S1 and Figure S1 in Supplement 1. Icasso determined that all networks were highly stable (Reliability Index > .95).
Discussion
We sought to delineate common and unique FNC abnormalities in SZ and psychotic BP and to determine which of these were detectable in the unaffected relatives of these probands, thereby examining their possible genetic origin. With a combination of ICA and a validated lagged correlation FNC technique on component time-course data, we extracted spontaneous low-frequency resting state hemodynamic fluctuations in 16 independent brain circuits, all of which resembled previously identified networks
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