Radiology - Research Publications

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Author: Moffat, Bradford × Author: Phal, Pramit × Author: Steward, Christopher × End date: 2017 × Start date: 2015 ×

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    Alterations in dorsal and ventral posterior cingulate connectivity in APOE ε4 carriers at risk of Alzheimer's disease
    Kerestes, R ; Phal, PM ; Steward, C ; Moffat, BA ; Salinas, S ; Cox, KL ; Ellis, KA ; Cyarto, EV ; Ames, D ; Martins, RN ; Masters, CL ; Rowe, CC ; Sharman, MJ ; Salvado, O ; Szoeke, C ; Lai, M ; Lautenschlager, NT ; Desmond, PM (ROYAL COLL PSYCHIATRISTS, 2015-10)
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    Assessment of Optic Pathway Structure and Function in Patients With Compression of the Optic Chiasm: A Correlation With Optical Coherence Tomography
    Phal, PM ; Steward, C ; Nichols, AD ; Kokkinos, C ; Desmond, PM ; Danesh-Meyer, H ; Sufaro, YZ ; Kaye, AH ; Moffat, BA (ASSOC RESEARCH VISION OPHTHALMOLOGY INC, 2016-07)
    PURPOSE: The purpose of this study was to investigate correlations between retinal fiber thickness measured by optical coherence tomography (OCT) and anterograde functional and structural differences in the optic pathway of patients with compression of the optic chiasm. Our hypothesis was that loss of visual acuity caused by chronic compressive pathologies may lead to an irreversible decline in vision because of permanent neurodegeneration of the optic radiations and visual cortex. METHODS: Quantitative OCT, functional magnetic resonance imaging (MRI) and diffusion tensor MRI measurements were made in 17 patients being surgically treated for chiasmal compression. RESULTS: In our study we found that surgically irreversible visual field defects and reduced retinal nerve fiber layer thickness were significantly associated with lower fractional diffusion anisotropy and higher diffusivities in optic radiations and less functional MRI activation in the visual cortex. CONCLUSIONS: Damage to the retinal nerve fiber layer is associated with downstream structural and functional degradation of the optic pathway. This may be related to trans-synaptic degeneration and the fact that these factors are important potential imaging biomarkers for predicting visual recovery after surgical decompression.