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Structural correlates of diabetes-related cognitive impairment can be assessed with brain magnetic resonance imaging (MRI) (3).
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All patients presented with central nervous system symptoms and were assessed with brain MRI that demonstrated a lesion compatible with brain tumor.
In patients with Parkinson's disease with and without peak-of-dose LID, dynamic changes in striato-cortical connectivity were assessed with whole-brain functional MRI, while patients performed a simple motor task.
Speech discrimination was assessed with event-related brain potentials (ERPs).
The participants, which included social drinkers, heavy drinkers, and alcohol-dependent individuals, first were assessed with respect to the brain's responses to alcohol cues (i.e., exposure to the odor of their preferred alcoholic beverage or a control odor) under both alcohol intoxication and control conditions using an imaging technique called functional MRI (fMRI).
Statistical significances of changes in circulating bone marrow stem cells, bone marrow-derived cells, bone marrow-derived microglial cells and the β-amyloid deposits in the brain were assessed with Student's t test.
First, the brain/muscle GP protein level was assessed with an antibody that besides the brain GP protein recognizes the muscle GP protein when overexpressed in cultured myotubes [28].
Blood samples were taken and brain perfusion was assessed with near-infrared spectroscopy measuring (de)oxygenated hemoglobin [ 42].
Before the first and after the last rTMS-session brain activation was assessed with fNIRS while patients were performing a cognitive task.
We demonstrated that compared to hyperoxic CPB, normoxic CPB was associated with lower end-organ damage; cardiac, liver, and brain injuries were assessed with Tn-I, Alpha GST, and protein S100 and in all three cases were significantly reduced.
The relationship between EV protein levels and WML volume (expressed as log transformed percentage of intracranial volume) and BPF (expressed percentage of intracranial volume) on 1.5 T brain MRI was assessed with multivariable linear regression modelling.
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