Exploratory analysis tentatively supported this as there was a trend association between the severity of parkinsonism as measured by the UPDRS and the functional dis- connectivity of this network (Spearman’s rank correlation between cluster SMN-1 and UPDRS score: p -value = 0.073 uncorrected). The lack of strong relationship may be driven by the tendency to less parkinsonism and known variability in nigrostriatal neuronal loss in DLB ( Colloby et al., 2012 ). Prior evidence from covariant analyses of perfusion data in DLB
have suggested that the expression of both anti-correlated motor (e.g. supplementary motor area and putamen) and non-motor (pari- etal) networks is intrinsic to cognitive fluctuations and attentional dysfunction in DLB ( Taylor et al., 2013 ). These areas overlap with the sensory–motor network reported here although in the present co- hort we found no evidence of an association between CAF and the FC reduction in the sensory–motor network of DLBs. Possible explana- tions for this may be differences in the sample, investigative modality 4.2. Temporal network
This network covers the auditory system, in specific the primary and secondary auditory cortices. Alterations in FC in this network did not associate with cognitive fluctuations in DLB although it is notable that the temporal occipital fusiform cortex is mainly asso- ciated with body and face recognition and the lingual gyri on the
other hand have been associated with processing of complex images. Certainly visuo-perceptual deficits ( Mosimann et al., 2004 ) and ab- normalities in the ventral visual stream ( Harding et al., 2002 ; Taylor et al., 2012 ) have been reported in DLB. Similarly a diffusion tensor imaging (DTI) study published by Kiuchi et al. (2011) found lower fractional anisotropy (FA) in visual-related areas in DLB patients and lower FA values in bilateral inferior occipitofrontal fasciculus (IOFF; connecting the orbitofrontal cortex with the occipital lobe) and the L inferior longitudinal fasciculus (ILF; connecting the inferior temporal cortex with the occipital lobe). These findings concord with our results showing a disconnection between occipital regions and the tempo- ral RSN. However on our secondary analyses none of the significant clusters related to the temporal RSN correlated with the severity or frequency of visual hallucinations ( p -values > 0.13) suggesting that FC alterations of the temporal network of DLBs while perhaps being permissive to the manifestation of hallucinations, do not predict, in themselves, hallucination severity or frequency.
Exploratory analysis tentatively supported this as there was a trend association between the severity of parkinsonism as measured by the UPDRS and the functional dis- connectivity of this network (Spearman’s rank correlation between cluster SMN-1 and UPDRS score: p -value = 0.073 uncorrected). The lack of strong relationship may be driven by the tendency to less parkinsonism and known variability in nigrostriatal neuronal loss in DLB ( Colloby et al., 2012 ). Prior evidence from covariant analyses of perfusion data in DLB
have suggested that the expression of both anti-correlated motor (e.g. supplementary motor area and putamen) and non-motor (pari- etal) networks is intrinsic to cognitive fluctuations and attentional dysfunction in DLB ( Taylor et al., 2013 ). These areas overlap with the sensory–motor network reported here although in the present co- hort we found no evidence of an association between CAF and the FC reduction in the sensory–motor network of DLBs. Possible explana- tions for this may be differences in the sample, investigative modality 4.2. Temporal network
This network covers the auditory system, in specific the primary and secondary auditory cortices. Alterations in FC in this network did not associate with cognitive fluctuations in DLB although it is notable that the temporal occipital fusiform cortex is mainly asso- ciated with body and face recognition and the lingual gyri on the
other hand have been associated with processing of complex images. Certainly visuo-perceptual deficits ( Mosimann et al., 2004 ) and ab- normalities in the ventral visual stream ( Harding et al., 2002 ; Taylor et al., 2012 ) have been reported in DLB. Similarly a diffusion tensor imaging (DTI) study published by Kiuchi et al. (2011) found lower fractional anisotropy (FA) in visual-related areas in DLB patients and lower FA values in bilateral inferior occipitofrontal fasciculus (IOFF; connecting the orbitofrontal cortex with the occipital lobe) and the L inferior longitudinal fasciculus (ILF; connecting the inferior temporal cortex with the occipital lobe). These findings concord with our results showing a disconnection between occipital regions and the tempo- ral RSN. However on our secondary analyses none of the significant clusters related to the temporal RSN correlated with the severity or frequency of visual hallucinations ( p -values > 0.13) suggesting that FC alterations of the temporal network of DLBs while perhaps being permissive to the manifestation of hallucinations, do not predict, in themselves, hallucination severity or frequency.
การแปล กรุณารอสักครู่..