A night of sleep deprivation alters brain connectivity and affects specific executive functions.

Sleep is a fundamental physiological process necessary for efficient cognitive functioning especially in relation to memory consolidation and executive functions, such as attentional and switching abilities. The lack of sleep strongly alters the connectivity of some resting-state networks, such as default mode network and attentional network. In this study, by means of magnetoencephalography (MEG) and specific cognitive tasks, we investigated how brain topology and cognitive functioning are affected by 24 h of sleep deprivation (SD). Thirty-two young men underwent resting-state MEG recording and evaluated in letter cancellation task (LCT) and task switching (TS) before and after SD. Results showed a worsening in the accuracy and speed of execution in the LCT and a reduction of reaction times in the TS, evidencing thus a worsening of attentional but not of switching abilities. Moreover, we observed that 24 h of SD induced large-scale rearrangements in the functional network. These findings evidence that 24 h of SD is able to alter brain connectivity and selectively affects cognitive domains which are under the control of different brain networks.

Dilated perivascular spaces and fatigue: is there a link? Magnetic resonance retrospective 3Tesla study.

INTRODUCTION: Fatigue (F) is a common, inexplicable, and disabling symptom in multiple sclerosis (MS) patients. The purpose of this study was to evaluate a possible correlation between fatigue and morpho-volumetric features and site of dilated perivascular spaces (dPS), visible on 3T magnetic resonance (MR) in fatigued multiple sclerosis patients (FMS). METHODS: We studied 82 relapsing remitting (RR) FMS patients and 43 HC, matched for age, sex, and education. F was assessed by the Fatigue Severity Scale (FSS). To evaluate a possible correlation between degree of F and characteristics of dPS, patients were divided in two groups: more (mFMS) (FSS ≥ 5; n = 30) and less fatigued (lFMS) (FSS ≥ 4; n = 52), compared to a matched healthy control (HC) subject group. The MR study was performed with 3T scanner by SpinEcho T1, Fast-SpinEcho DP-T2, FLAIR, and 3D FSPGR T1 sequences. dPS volumes were measured with Medical Image Processing Analysis and Visualization (MIPAV); Global Cerebral Atrophy (GCA), expressed as Brain Parenchymal Fraction (BPF), was assessed by FSL SIENAX. RESULTS: The t test showed significantly increased dPS number (p = 0.021) in FMS patients (mFMS p = 0.0024 and lFMS p = 0.033) compared to HC. Pearson correlation revealed a significant correlation between dPS number and FSS (r = 0.208 p = 0.051). Furthermore, the chi-squared test confirms the intragroup (HC, mFMS, lFMS) differences about dPS location (p = 0.01) and size (p = 0.0001). CONCLUSION: Our study confirms that PS in MS patients presents with different volumetric and site characteristics as compared to HC; moreover, F severity significantly correlates with dPS number, site, and size.

Rhythm-specific modulation of the sensorimotor network in drug-naive patients with Parkinson's disease by levodopa.

Brain activity during rest is characterized by slow (0.01-0.1 Hz) fluctuations of blood oxygenation level-dependent functional magnetic resonance imaging signals. These fluctuations are organized as functional connectivity networks called resting-state networks, anatomically corresponding to specific neuronal circuits. As Parkinson's disease is mainly characterized by a dysfunction of the sensorimotor pathways, which can be influenced by levodopa administration, the present study investigated the functional connectivity changes within the sensorimotor resting-state network in drug-naïve patients with Parkinson's disease after acute levodopa administration. Using a double-blind placebo-controlled design, resting-state functional magnetic resonance imaging was carried out in 20 drug-naïve patients with Parkinson's disease, immediately before and 60 min after, oral administration of either levodopa or placebo. Control resting-state functional magnetic resonance imaging data were recorded in 18 age- and sex-matched healthy volunteers. Independent component analysis was performed to extract resting-state network maps and associated time-course spectral features. At the anatomical level, levodopa enhanced the sensorimotor network functional connectivity in the supplementary motor area, a region where drug-naïve patients with Parkinson's disease exhibited reduced signal fluctuations compared with untreated patients. At the spectral frequency level, levodopa stimulated these fluctuations in a selective frequency band of the sensorimotor network. The reported effects induced by levodopa on sensorimotor network topological and spectral features confirm that the sensorimotor system is a target of acute levodopa administration in drug-naïve patients with Parkinson's disease. Moreover, while the regional changes in supplementary motor area reflect the functional improvement in motor function, the rhythm-specific modulation induced by the dopamine precursor discloses a novel aspect of pharmacological stimulation in Parkinson's disease, adding further insight to the comprehension of levodopa action.

Dilated Virchow-Robin spaces and multiple sclerosis: 3 T magnetic resonance study.

PURPOSE: The aim of this study was to assess differences in the presence, size, number and site of dilated cerebral Virchow-Robin spaces (VRSd) between patients with multiple sclerosis (MS) in the inactive phase and healthy controls, and between MS patients with disabling (MSd) or nondisabling (MSnd) disease. MATERIALS AND METHODS: The study was performed by retrospectively analysing the 3 T magnetic resonance studies of 40 MS patients and 30 healthy subjects (matched for age, education and gender). The data were analysed with MIPAV (Medical Image Processing, Analysis and Visualisation) software to assess for VRSd and with FSL SIENA-X to measure global cerebral atrophy (GCA) expressed as brain parenchyma fraction. RESULTS: The MS patients had significantly higher VRSd number (p < 0.011), area (p < 0.0073) and volume (p < 0.0071) than controls, with a marked increase for atypical sites (p < 0.0069) without significant intragroup differences between the disease forms (MSd vs MSnd). The number and size of VRSd did not correlate with GCA. CONCLUSIONS: Our results confirm previous reports regarding the increase in VRSd in nonactive phases of MS and support the immunological role of the VRS within the central nervous system. The lack of correlation between VRSd and the degree of GCA and their prevailing localisation in atypical sites in MS patients make VRSd a potential marker of inflammatory-demyelinating disease.

Alcohol increases spontaneous BOLD signal fluctuations in the visual network.

Brain activity during resting wakefulness is characterized by slow (<0.1Hz) fluctuations of blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals that are topographically organized in discrete functional connectivity networks (resting-state networks, RSNs). The present study aimed at revealing possible network-specific alcohol-induced changes in resting-state fMRI (RS-fMRI) signals. RS-fMRI was carried out on eight healthy subjects in four consecutive 6-min sessions, one before and three after a 0.7 g/kg dose of ethyl alcohol. Control experiments were carried out in different days without alcohol administration. Independent component analysis (ICA) was performed on all experimental and control scans to extract individual and group-level RSN maps in a dynamic network analysis. Alcohol administration significantly increased the overall strength of the visual network ICA component, reaching the peak at 90 min. Within the visual network, the alcohol-induced increase was more pronounced in the primary regions of the occipital cortex and less pronounced in the secondary regions of the occipito-temporal cortex. Other major RSN components, such as the default-mode, the fronto-parietal, the sensori-motor, the self-referential and the auditory components, did not exhibit alcohol-induced changes during the same time window. Alcohol-induced effects on the resting-state functional connectivity of the visual network observed in the present study demonstrate that the visual system is a selective and primary target of acute alcohol administration. The strong enhancement of spontaneous BOLD fluctuations in the primary visual cortex in an acute alcoholic state may impair the normal activation response to visual stimuli and affect visual perception.

Dilated Virchow-Robin space and Parkinson's disease: A case report of combined MRI and diffusion tensor imaging.

In this manuscript we report the case of a 69-year-old female patient, who suffers from Parkinson's disease (PD) with a dilated Virchow-Robin space (dVRS) on the left anterior perforated substance. During a magnetic resonance imaging examination, the presence of a dVRS was discovered on the left anterior perforated substance. Subsequently, the patient has been subjected to further investigation of magnetic resonance imaging and diffusion tensor imaging (DTI). The DTI data of our PD patient showed increased peak frequency of left fractional anisotropy and decreases in the distribution of Mean Diffusivity(MD) with changes in the fiber density compared to the normal contralateral tract. We hypothesize that the DTI changes are due to dVRS. In the text a review of the recent literature on the presence of dVRSs, located in mono and bilateral seat, in patients with PD is reported, explaining its possible implications on disease progression, cognitive decline, and worsening of symptoms.

Pain processing in patients with migraine: an event-related fMRI study during trigeminal nociceptive stimulation.

We explored the functional pattern of the pain-processing network in patients with migraine, in the interictal periods, during trigeminal noxious stimulation. Contact heat evoked potential stimulation induced thermal pain and functional magnetic resonance imaging were used to measure whole-brain activation in 16 patients with episodic migraine without aura and 16 age- and gender-matched healthy controls in response to a severe (53°C) noxious, a moderate (51°C) noxious, and a control (41°C) stimulus applied to the maxillary skin. When comparing the fMRI activation over the entire brain, patients with migraine, with respect to healthy controls, showed a significantly greater activation in the perigenual part of anterior cingulate cortex at 51°C and less activation in the bilateral secondary somatosensory cortex at 53°C. A group-by-stimulus interaction analysis revealed a region in the pons showing a divergent response in patients and healthy controls. Correlation analyses demonstrated that the pons activation correlated with higher headache-related disability in patients. Our findings demonstrate increased antinociceptive activity in patients with migraine, which may represent a compensatory reorganization to modulate pain perception at the same intensity of healthy controls.

Interaction between aging and neurodegeneration in amyotrophic lateral sclerosis.

We assessed the spontaneous blood-oxygen-level-dependent signal fluctuations in the resting-state brain networks of amyotrophic lateral sclerosis patients and their relation to physiologically sensitive and disease modified functional magnetic resonance imaging parameters. Resting-state functional magnetic resonance imaging was performed at 3 Tesla on 20 amyotrophic lateral sclerosis patients with minimal frontal cognitive dysfunction and 20 age- and sex-matched healthy volunteers. Resting-state network maps were extracted with independent component analysis and group-level statistical analyses were performed to detect disease and disease-by-age interaction effects. Whole-brain global and regional atrophy measures were obtained from same-session structural scans. The sensori-motor network showed significant disease effects, with signals suppressed in patients bilaterally in the primary motor cortex. The default-mode network showed a significant disease-by-age interaction in the posterior cingulate cortex, where signals correlated with age positively in patients and negatively in controls. Both disease and disease-by-age interaction effects were detected in the right fronto-parietal network. Although global atrophy did not show significant differences, regions of reduced gray matter volume were detected in patients compared with controls adjacent to regions of reduced functional connectivity. Our results confirm that resting-state functional magnetic resonance imaging signals in the sensori-motor network are suppressed in amyotrophic lateral sclerosis. A similar suppression is evident in the right fronto-parietal network, possibly reflecting the patients' frontal dysfunction and right-lateralized patterns of regional atrophy. The interaction between disease and aging in the default-mode network unravels a possible mechanism of compensation between motor and extramotor systems emerging as a supplementary functional push to help motor disturbances.