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1.
Neurology ; 101(16): e1646-e1651, 2023 10 17.
Article in English | MEDLINE | ID: mdl-37527939

ABSTRACT

Diplopia is a relatively common chief complaint encountered in an outpatient neurology clinic and carries a broad differential diagnosis. In this case, a 67-year-old woman presented with new horizontal, binocular diplopia and ptosis of 8-month duration, which persisted without significant progression. This case highlights the need for a comprehensive list of differential diagnoses for patients with acquired ophthalmoplegia and ptosis. Key learning points include an illustration of the stepwise diagnostic approach to evaluate for common etiologies, the importance of interpreting test results in the appropriate clinical setting, and the significance of recognizing specific signs and symptoms in achieving the correct diagnosis.


Subject(s)
Blepharoptosis , Ophthalmoplegia , Female , Humans , Aged , Diplopia/etiology , Diplopia/complications , Blepharoptosis/diagnosis , Blepharoptosis/etiology , Ophthalmoplegia/complications , Ophthalmoplegia/diagnosis , Diagnosis, Differential , Clinical Reasoning
2.
J Neuroimaging ; 31(1): 98-102, 2021 01.
Article in English | MEDLINE | ID: mdl-32857919

ABSTRACT

BACKGROUND AND PURPOSE: Cognitive dysfunction is common in multiple sclerosis (MS). The dorsal anterior insula (dAI) is a key hub of the salience network (SN) orchestrating access to critical cognitive brain regions. The aim of this study was to assess whole-brain dAI intrinsic functional connectivity (iFC) using resting-state functional MRI (rs-fMRI) in people with MS and healthy controls (HC) and test the relationship between cognitive reserve (CR) and dAI iFC in people with MS. METHODS: We studied 28 people with relapsing-remitting MS and 28 HC. CR index was quantified by combining premorbid IQ, leisure activities, and education level. For whole-brain iFC analyses, the bilateral dAI were used as seeds. Individual subject correlation maps were entered into general linear models for group comparison and to analyze the effect of CR index on dAI iFC, controlling for multiple comparisons. The correlation between CR index and iFC was assessed using a linear regression model. RESULTS: rs-fMRI analyses revealed a negative relationship between CR index and iFC within the left dAI and a left occipital cluster in people with MS including regions of the cuneus, superior occipital gyrus, and parieto-occipital sulcus. The regression analysis showed that people with MS and a higher CR index had a statistically significantly reduced iFC within the left dAI and the cluster. CONCLUSIONS: CR is relevant to functional connectivity within one of the main nodes of the SN, the dAI, and occipital regions in MS. These results have implications for how CR may modulate the susceptibility to cognitive dysfunction in MS.


Subject(s)
Cerebral Cortex/physiopathology , Cognitive Reserve , Multiple Sclerosis, Relapsing-Remitting/physiopathology , Nerve Net/physiopathology , Rest/physiology , Adult , Cerebral Cortex/diagnostic imaging , Humans , Magnetic Resonance Imaging , Male , Multiple Sclerosis, Relapsing-Remitting/diagnostic imaging , Nerve Net/diagnostic imaging
3.
Brain Struct Funct ; 223(5): 2519-2526, 2018 Jun.
Article in English | MEDLINE | ID: mdl-29453522

ABSTRACT

Increased synchrony within neuroanatomical networks is often observed in neurophysiologic studies of human brain disease. Most often, this phenomenon is ascribed to a compensatory process in the face of injury, though evidence supporting such accounts is limited. Given the known dependence of resting-state functional connectivity (rsFC) on underlying structural connectivity (SC), we examine an alternative hypothesis: that topographical changes in SC, specifically particular patterns of disconnection, contribute to increased network rsFC. We obtain measures of rsFC using fMRI and SC using probabilistic tractography in 50 healthy and 28 multiple sclerosis subjects. Using a computational model of neuronal dynamics, we simulate BOLD using healthy subject SC to couple regions. We find that altering the model by introducing structural disconnection patterns observed in those multiple sclerosis subjects with high network rsFC generates simulations with high rsFC as well, suggesting that disconnection itself plays a role in producing high network functional connectivity. We then examine SC data in individuals. In multiple sclerosis subjects with high network rsFC, we find a preferential disconnection between the relevant network and wider system. We examine the significance of such network isolation by introducing random disconnection into the model. As observed empirically, simulated network rsFC increases with removal of connections bridging a community with the remainder of the brain. We thus show that structural disconnection known to occur in multiple sclerosis contributes to network rsFC changes in multiple sclerosis and further that community isolation is responsible for elevated network functional connectivity.


Subject(s)
Brain Mapping , Brain/diagnostic imaging , Brain/physiopathology , Multiple Sclerosis/diagnostic imaging , Neural Pathways/diagnostic imaging , Adult , Computer Simulation , Disability Evaluation , Female , Humans , Image Processing, Computer-Assisted , Magnetic Resonance Imaging , Male , Models, Neurological , Multiple Sclerosis/pathology , Multiple Sclerosis/physiopathology
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