Abnormal network topographies and changes in global activity: Absence of a causal relationship

Changes in regional brain activity can be observed following global normalization procedures to reduce variability in the data. In particular, spurious regional differences may appear when scans from patients with low global activity are compared to those from healthy subjects. It has thus been suggested that the consistent increases in subcortical activity that characterize the abnormal Parkinson's disease-related metabolic covariance pattern (PDRP) are artifacts of global normalization, and that similar topographies can be identified in scans from healthy subjects with varying global activity. To address this issue, we examined the effects of experimental reductions in global metabolic activity on PDRP expression. Ten healthy subjects underwent 18F-fluorodeoxyglucose PET in wakefulness and following sleep induction. In all subjects, the global metabolic rate (GMR) declined with sleep (mean − 34%, range: − 17 to − 56%), exceeding the test–retest differences of the measure (p < 0.001). By contrast, sleep–wake differences in PDRP expression did not differ from test–retest differences, and did not correlate (R2 = 0.04) with concurrent declines in global metabolic activity. Indeed, despite significant GMR reductions in sleep, PDRP values remained within the normal range. Likewise, voxel weights on the principal component patterns resulting from combined analysis of the sleep and wake scans did not correlate (R2 < 0.07) with the corresponding regional loadings on the PDRP topography. In aggregate, the data demonstrate that abnormal PDRP expression is not induced by reductions in global activity. Moreover, significant declines in GMR are not associated with the appearance of PDRP-like spatial topographies.

► Sleep induction produced a consistent decline in global metabolism.
► However, the expression of the PDRP network did not change.
► Sleep–wake PDRP differences did not correlate with global changes.
► Analysis of sleep and wake scans did not reveal “PDRP-like” topographies.
► This analysis did, however, reveal a significant sleep-related covariance pattern.