Subject(s)
Angiogenesis Inhibitors/adverse effects , Antibodies, Monoclonal, Humanized/adverse effects , Choroidal Neovascularization/drug therapy , Endophthalmitis/chemically induced , Retinal Artery Occlusion/chemically induced , Retinal Vasculitis/chemically induced , Wet Macular Degeneration/drug therapy , Endophthalmitis/diagnosis , Humans , Intravitreal Injections , Receptors, Vascular Endothelial Growth Factor/therapeutic use , Recombinant Fusion Proteins/adverse effects , Recombinant Fusion Proteins/therapeutic use , Retinal Artery Occlusion/diagnosis , Retinal Vasculitis/diagnosis , Risk FactorsABSTRACT
BACKGROUND: Sleep disorders and fatigue are common in multiple sclerosis (MS). The underlying causes are not fully understood, and prospective studies are lacking. Therefore, we conducted a prospective, observational cohort study investigating sleep quality, fatigue, quality of life, and comorbidities in patients with MS. METHODS: Patients with relapsing-remitting MS or clinically isolated syndrome treated with interferon beta-1b were followed over two years. The primary objective was to investigate correlations between sleep quality (PSQI), fatigue (MFIS), and functional health status (SF-36). Secondary objectives were to investigate correlations of sleep quality and daytime sleepiness (ESS), depression (HADS-D), anxiety (HADS-A), pain (HSAL), and restless legs syndrome (RLS). We applied descriptive statistics, correlation and regression analyses. RESULTS: 139 patients were enrolled, 128 were available for full analysis. The proportion of poor sleepers (PSQI≥5) was 55.47% at the beginning and 37.70% by the end of the study (106 and 41 evaluable questionnaires, respectively). Poor sleepers performed worse in MFIS, SF-36, ESS, HADS-D, and HADS-A scores. The prevalence of patients with RLS was low (4.5%) and all were poor sleepers. Poor sleep quality was positively correlated with fatigue and low functional health status. These relationships were corroborated by multivariable-adjusted regression analyses. ESS values and poor sleep quality at baseline seem to predict sleep quality at the one-year follow-up. No variable predicted sleep quality at the two-year follow-up. CONCLUSIONS: Our results confirm the high prevalence of poor sleep quality among patients with MS and its persistent correlation with fatigue and reduced quality of life over time. They highlight the importance of interventions to improve sleep quality. TRIAL REGISTRATION: The study was registered at clinicaltrials.gov: NCT01766063 (registered December 7, 2012). Registered retrospectively (first patient enrolled December 6, 2012).
Subject(s)
Adjuvants, Immunologic/therapeutic use , Interferon beta-1b/therapeutic use , Multiple Sclerosis, Relapsing-Remitting/drug therapy , Sleep Wake Disorders/epidemiology , Adult , Aged , Cohort Studies , Fatigue/epidemiology , Fatigue/etiology , Female , Humans , Male , Middle Aged , Multiple Sclerosis, Relapsing-Remitting/complications , Prevalence , Prospective Studies , Quality of Life , Retrospective Studies , Sleep/drug effects , Sleep Wake Disorders/etiology , Surveys and Questionnaires , Young AdultABSTRACT
fMRI and EEG are complimentary methods for the analysis of brain activity since each method has its strength where the other one has limits: The spatial resolution is thus in the range of millimeters with fMRI and the time resolution is in the range of milliseconds with EEG. For a comprehensive understanding of brain activity in target detection, nine healthy subjects (age 24.2 +/- 2.9) were investigated with simultaneous EEG (27 electrodes) and fMRI using an auditory oddball paradigm. As a first step, event-related potentials, measured inside the scanner, have been compared with the potentials recorded in a directly preceding session in front of the scanner. Attenuated amplitudes were found inside the scanner for the earlier N1/P2 component but not for the late P300 component. Second, an independent analysis of the localizations of the fMRI activations and the current source density as revealed by low resolution electromagnetic tomography (LORETA) has been done. Concordant activations were found in most regions, including the temporoparietal junction (TPJ), the supplementary motor area (SMA)/anterior cingulate cortex (ACC), the insula, and the middle frontal gyrus, with a mean Euclidean distance of 16.0 +/- 6.6 mm between the BOLD centers of gravity and the LORETA-maxima. Finally, a time-course analysis based on the current source density maxima was done. It revealed different time-course patterns in the left and right hemisphere with earlier activations in frontal and parietal regions in the right hemisphere. The results suggest that the combination of EEG and fMRI permits an improved understanding of the spatiotemporal dynamics of brain activity.
Subject(s)
Brain/physiology , Electroencephalography/statistics & numerical data , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging/statistics & numerical data , Acoustic Stimulation , Adult , Brain Mapping , Event-Related Potentials, P300 , Evoked Potentials, Auditory/physiology , Female , Functional Laterality/physiology , Humans , Male , Oxygen/bloodABSTRACT
To investigate the effect of genetic loading on brain structure in schizophrenia, we hypothesized that separating families into uniaffected and multiply affected would reveal effects of schizophrenia and family type. Volumes and asymmetries of the amygdala-hippocampus-complex (AHC) and sylvian fissure (SF) were determined using magnetic resonance imaging of subjects with schizophrenia from 12 uniaffected and 14 multiply affected families, and ten healthy controls. AHC volume was reduced in schizophrenia, particularly on the right side in subjects from uniaffected families. AHC asymmetry was disturbed, too. Enlargement of the right SF and disturbed SF asymmetry was demonstrated in subjects from uniaffected families as well. Comparing subjects from uni- and multiply affected families may be a useful strategy to reduce variability for future studies of environmental interactions with genetic risk for schizophrenia.
