Visual Networks Impairments in Minimal Hepatic Encephalopathy Using Resting-State fMRI
Yun Jiao1, Xun-Heng Wang2, and Tian-Yun Tang1

1Jiangsu Key Laboratory of Molecular and Functional Imaging, Department of Radiology, Zhongda Hospital, Medical school of Southeast University, Nanjing, China, People's Republic of, 2College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, China, People's Republic of

Synopsis

We applied dual regression to investigated functional connectivity impairments within visual networks for minimal hepatic encephalopathy (MHE) patients’ brain. Functional deficits within occipital and lateral visual networks (visual area V2 and V3) were endogenous, and significantly association with neurocognitive impairments. This maybe the reason for the compensatory enhancements within medial visual network (visual area V1) which indicated that patients with MHE had the potential to additionally recruit more neurological resource to process the spatial information from visual areas V2 and V3. Our results demonstrated the possible mechanisms for deficits in visual perception, visuo-spatial orientation, and visuo-constructive abilities in MHE patients

Purpose

To investigate the functional connectivity (FC) impairments within medial, occipital and lateral visual networks (MVN, OVN, and LVN) [1, 2] for cirrhosis with minimal hepatic encephalopathy (MHE), and to analyze relationship between visual networks (VNs) alterations with neurocognitive impairments.

Materials and Methods

43 cirrhotic patients without MHE (NMHE groups), 32 cirrhotic patients with current MHE (MHE groups), and 21 healthy controls were recruited in this study. MHE was diagnosed by the neuropsychiatric tests, including Trail Making Test A (TMT-A), Trail Making Test B (TMT-B), Digit Symbol Test (DST), and Block Design Test (BDT). DST and BDT are subtests of the Wechsler Adult Intelligence Scale-Revised for China (WAIS-RC).

The resting-state datasets were preprocessed with AFNI (afni.nimh.nih.gov/afni) and FSL (www.fmrib.ox.ac.uk), according to the scripts released by 1000 Functional Connectomes Project [2]. All resting-state fMRI datasets were preprocessed and normalized into standard brain space.

Three universal templates (MVN, OVN, and LVN) were applied to generate spatial patterns for MVN, OVN, and LVN for each participate by dual regression, respectively. There were two steps for dual regression: 1) regressing the spatial template into each subject's 4D dataset to give a set of time courses; 2) regressing those time courses into the same 4D dataset to get a subject-specific set of spatial maps.

One sample t test of spatial maps for FCs was analyzed within groups (FDR corrected, q<0.01). One way ANOVA was performed to calculate the different FCs within VNs among groups (AlpahSim corrected, p<0.01, cluster size>40). Additional correlation analysis was performed between different FCs within three VNs and behavior scores (Pearson correlation coefficient, p<0.05).

Results

Figure 1 displayed the differences among groups.

FCs were gradually reduced from controls, to NMHE, and to MHE within OVN and LVN, while increased within MVN. Within visual network, the impairments of MHE patients were mostly in left hemisphere, rather than in right hemisphere.

Within MVN, FCs of MHE patients were significantly increased than controls and NMHE groups in right limbic lobe / posterior cingulate, and FCs of MHE and NMHE patients were significantly increased than controls in left cerebellum anterior lobe.

Within OVN, FCs of MHE patients were significantly decreased than other two groups in left fusiform gyrus, and FCs were significantly reduced from controls, to NMHE, and to MHE in bilateral lingual gyrus.

Within LVN, FCs of MHE patients were significantly decreased than other two groups in left inferior and middle occipital gyrus (IOG and MOG), and FCs of MHE and NMHE patients were significantly decreased than controls in left cuneus / superior occipital gyrus (SOG).

DST scores were significantly correlated with FC of bilateral lingual gyrus within OVN (r=0.274, p=0.007), FCs of left cuneus within LVN (r=0.226, p=0.027), and FCs of left LOG and MOG within LVN (r=0.258, p=0.011). BDT scores were significantly correlated with FC of left cuneus within LVN (r=0.265, p=0.009), and FC of left LOG and MOG within LVN (r=0.243, p=0.017).

Conclusion

We applied dual regression to investigate functional connectivity impairments within visual networks for MHE patients’ brain. Functional deficits were endogenous within OVN (visual area V2) and LVM (visual area V3), while functional connectivity exhibited compensatory enhancements within MVN (primary visual cortex). The function of visual process in MHE patients was mostly altered in left hemisphere, rather than in right hemisphere.

The deficits in visual areas V2 and V3 (OVN and LVN) were significantly association with neurocognitive impairments (DST and BDT). This maybe the reason for the compensatory enhancements in primary visual cortex (MVN), which indicated that patients with current MHE had the potential to additionally recruit more neurological resource to process the spatial information from visual areas V2 and V3.

Our results demonstrated the possible mechanisms for decrease of psychomotor speed, and deficits in visual perception, visuo-spatial orientation, and visuo-constructive abilities in MHE patients [3, 4].

Therefore, the alterations of dual regression based visual networks can be potential neuroimaging biomarkers for MHE studies.

Acknowledgements

This work is supported by the National Natural Science Foundation of China (81230034, 81271739, 81501453), the Jiangsu Provincial Special Program of Medical Science (BL2013029), and the Jiangsu Provincial Natural Science Foundation (BK20141342).

References

[1] Wang, X.H. and L. Li, Altered temporal features of intrinsic connectivity networks in boys with combined type of attention deficit hyperactivity disorder. Eur J Radiol, 2015. 84(5): p. 947-54.

[2] Biswal, B.B., et al., Toward discovery science of human brain function. Proc Natl Acad Sci U S A, 2010. 107(10): p. 4734-9.

[3] Amodio, P., et al., Characteristics of minimal hepatic encephalopathy. Metab Brain Dis, 2004. 19(3-4): p. 253-67.

[4] Stewart, C.A. and G.E. Smith, Minimal hepatic encephalopathy. Nat Clin Pract Gastroenterol Hepatol, 2007. 4(12): p. 677-85.

Figures

The differences among three groups within visual networks.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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