A real-world comparison among third-generation antiseizure medications: Results from the COMPARE study.

OBJECTIVE: There are few comparative data on the third-generation antiseizure medications (ASMs). We aimed to assess and compare the effectiveness of brivaracetam (BRV), eslicarbazepine acetate (ESL), lacosamide (LCM), and perampanel (PER) in people with epilepsy (PWE). Efficacy and tolerability were compared as secondary objectives. METHODS: This multicenter, retrospective study collected data from 22 Italian neurology/epilepsy centers. All adult PWE who started add-on treatment with one of the studied ASMs between January 2018 and October 2021 were included. Retention rate was established as effectiveness measure and described using Kaplan-Meier curves and the best fitting survival model. The responder status and the occurrence of adverse events (AEs) were used to evaluate efficacy and safety, respectively. The odds of AEs and drug efficacy were estimated by two multilevel logistic models. RESULTS: A total of 960 patients (52.92% females, median age = 43 years) met the inclusion criteria. They mainly suffered from structural epilepsy (52.29%) with monthly (46.2%) focal seizures (69.58%). Compared with LCM, all the studied ASMs had a higher dropout risk, statistically significant in the BRV levetiracetam (LEV)-naïve (hazard ratio [HR] = 1.97, 95% confidence interval [CI] = 1.17-3.29) and PER groups (HR = 1.64, 95% CI = 1.06-2.55). Women were at higher risk of discontinuing ESL (HR = 5.33, 95% CI = 1.71-16.61), as well as PER-treated patients with unknown epilepsy etiology versus those with structural etiology (HR = 1.74, 95% CI = 1.05-2.88). BRV with prior LEV therapy showed lower odds of efficacy (odds ratio [OR] = .08, 95% CI = .01-.48) versus LCM, whereas a higher efficacy was observed in women treated with BRV and LEV-naïve (OR = 10.32, 95% CI = 1.55-68.78) versus men. PER (OR = 6.93, 95% CI = 3.32-14.44) and BRV in LEV-naïve patients (OR = 6.80, 95% CI = 2.64-17.52) had a higher chance of AEs than LCM. SIGNIFICANCE: Comparative evidence from real-world studies may help clinicians to tailor treatments according to patients' demographic and clinical characteristics.

Validation of new diagnostic criteria for fatigue in patients with Parkinson disease.

BACKGROUND AND PURPOSE: Although disabling fatigue is common in Parkinson disease (PD), available consensus-based diagnostic criteria have not yet been empirically validated. The aim of this study was to evaluate the clinimetric properties of the criteria. METHODS: A sample of outpatients with PD was evaluated for demographic, clinical, behavioral, and cognitive features. Fatigue was diagnosed according to the new diagnostic criteria and was rated by means of the Parkinson Fatigue Scale (PFS) and Fatigue Severity Scale (FSS). Acceptability, concurrent and discriminant validity, and interrater reliability were evaluated with binary logistic regression analyses and Cohen kappa (κ). RESULTS: Of 241 included patients, 17 (7.1%) met the diagnostic criteria for PD-related fatigue. Eight of nine symptoms described in Section A of the diagnostic criteria occurred in >50% of patients with fatigue. Acceptability (missing data = 0.8%) of the criteria was good, as was their concurrent validity with the PFS (odds ratio = 3.65) and FSS (odds ratio = 3.63). The discriminant validity of fatigue criteria with other PD-related behavioral and cognitive features was good (odds ratio < 1.68). The interrater reliability was excellent (κ = 0.92). CONCLUSIONS: This is the first study to test the clinimetric properties of case definition diagnostic criteria for PD-related fatigue. Our results suggest that current diagnostic criteria may be useful in both clinical practice and research. Future longitudinal studies should examine their long-term stability.

Effects of safinamide on non-motor, cognitive, and behavioral symptoms in fluctuating Parkinson's disease patients: a prospective longitudinal study.

INTRODUCTION: Parkinson's disease (PD) patients in chronic levodopa treatment may experience motor and non-motor fluctuations, which may affect their quality of life. Safinamide is a new monoamine oxidase B inhibitor, also exerting a non-dopaminergic effect, recently approved as add-on therapy in fluctuating PD patients. METHODS: We performed a longitudinal prospective study in a cohort of 20 fluctuating PD patients, to test whether safinamide 50 mg may improve non-motor, cognitive, and behavioral symptoms over a 6-month treatment period. At each timepoint, clinical features were assessed by means of validated PD-specific scales. Neuropsychological assessment was performed by exploring all five cognitive domains. RESULTS: Compared to baseline, significant improvement was found in PD patients at 6-month follow-up in items investigating interest (p = 0.02), motivation (p = 0.02), and urinary disturbances (p = 0.03). Moreover, neuropsychiatric assessment showed a significant decrease in fatigue and apathy scores (p = 0.02 and p = 0.01, respectively). Motor assessment revealed a significant reduction in the total wake-up time spent in OFF state (p = 0.01). Follow-up neuropsychological evaluation did not reveal any change compared to baseline. CONCLUSIONS: Our data reveal that, along with motor fluctuation improvement, treatment with safinamide 50 mg may significantly decrease non-motor symptom burden in PD patients. Interestingly, non-dopaminergic mechanisms, such as glutamatergic overdrive, have been demonstrated to play a role in many pathways underlying these symptoms. Thus, we hypothesize that the neurotransmitter receptor-binding profile of safinamide may explain our findings.

The psychological correlates of fatigue in Parkinson's disease: Contribution of maladaptive metacognitive beliefs.

INTRODUCTION: Psychological factors can underlie fatigue in neurological disorders, but its relationship to fatigue in Parkinson's disease (PD) has not been explored. We assessed the association between maladaptive metacognitive beliefs and presence of fatigue in PD. METHODS: Ninety-eight consecutive outpatients with PD (61% male; median age: 66.50 years) were assessed in terms of demographic, clinical, medication treatment, cognitive, or behavioural characteristics including metacognitive beliefs (Metacognitions Questionnaire-30 or MCQ). Fatigue was ascertained by PD-related diagnostic criteria. Univariate statistical approach (Mann-Whitney and Pearson chi-square tests) was used to compare PD patients with (f-PD) or without (nf-PD) fatigue in terms of demographic, clinical, medication treatment, cognitive, behavioural, and metacognitive measures. RESULTS: Twenty-one PD patients (21%) displayed fatigue. The f-PD group scored higher on the MCQ-total score, MCQ-Cognitive Confidence subscale, and all behavioral measures (ps < 0.01) relative to nf-PD. They also had a more advanced Hoehn and Yahr stage and Unified Parkinson's Disease Rating Scale-III score. CONCLUSION: Maladaptive metacognitive beliefs such as the lack of cognitive confidence may play a key role to trigger and maintain fatigue in PD. Future studies, using a multivariate statistical approach, are needed to confirm these preliminary findings in a larger sample of patients with fatigue and to assess if modification of such metacognitive beliefs has the potential to ameliorate fatigue in PD.

Correlates of the discrepancy between objective and subjective cognitive functioning in non-demented patients with Parkinson's disease.

BACKGROUND: Subjective complaints of cognitive deficits are not necessarily consistent with objective evidence of cognitive impairment in Parkinson's disease (PD). Here we examined the factors associated with the objective-subjective cognitive discrepancy. METHODS: We consecutively enrolled 90 non-demented patients with PD who completed the Parkinson's Disease Cognitive Functional Rating Scale (subjective cognitive measure) and the Montreal Cognitive Assessment (MoCA; objective cognitive measure). The patients were classified as "Overestimators", "Accurate estimators", and "Underestimators" on the basis of the discrepancy between the objective vs. subjective cognitive measures. To identify the factors distinguishing these groups from each other, we used chi-square tests or one-way analyses of variance, completed by logistic and linear regression analyses. RESULTS: Forty-nine patients (54.45%) were classified as "Accurate estimators", 29 (32.22%) as "Underestimators", and 12 (13.33%) as "Overestimators". Relative to the other groups, the "Underestimators" scored higher on the Fatigue Severity Scale (FSS), Beck Depression Inventory (BDI), and Parkinson Anxiety Scale (p < 0.01). Logistic regression confirmed that FSS and BDI scores distinguished the "Underestimators" group from the others (p < 0.05). Linear regression analyses also indicated that FSS and BDI scores positively related to objective-subjective cognitive discrepancy (p < 0.01). "Overestimators" scored lower than other groups on the MoCA's total score and attention and working memory subscores (p < 0.01). CONCLUSION: In more than 45% of consecutive non-demented patients with PD, we found a 'mismatch' between objective and subjective measures of cognitive functioning. Such discrepancy, which was related to the presence of fatigue and depressive symptoms and frontal executive impairments, should be carefully evaluated in clinical setting.

Correlates of Psychological Distress in Patients with Parkinson's Disease During the COVID-19 Outbreak.

BACKGROUND: Following the severe consequences of the COVID-19 outbreak, on March 9, 2020, the Italian government implemented extraordinary measures to limit viral transmission, including restrictive quarantine measures. This resulted in a rapid and profound change of people's daily lives. OBJECTIVE: We assessed the psychological impact of the 40-day quarantine in a large cohort of patients with Parkinson's disease (PD) and caregivers. Moreover, we analyzed whether prelockdown clinical features may be associated with subjective response of patients with PD to this traumatic event. METHODS: A total of 94 patients with PD were enrolled in the study. The Impact of Event Scale-Revised, the Kessler Psychological Distress Scale, and the 12-item Zarit Burden Inventory were obtained from patients and caregivers by email. A multivariate regression analysis was performed to determine whether prelockdown clinical motor and nonmotor features were associated with the psychological impact of lockdown. RESULTS: Regression analyses showed that prelockdown levels of anxiety, treatment-related motor complications, patients' quality of life, and lockdown hours per day were significantly associated with psychological impact measures of the 40-day quarantine. In addition, we showed that caregiver burden was correlated with overall patient autonomy and attention/memory impairment. CONCLUSIONS: We identified specific PD motor and nonmotor features potentially predisposing to higher psychological impact of stressful situations, such as quarantine. This may help guide postpandemic interventions and preventive strategies to avoid further impairment of psychological well-being in patients with PD.

Correlates of psychological distress in epileptic patients during the COVID-19 outbreak.

INTRODUCTION: Following the severe consequences of the coronavirus disease 2019 (COVID-19) outbreak, on March 9th, 2020 the Italian Government implemented extraordinary measures to limit viral transmission, including restrictive quarantine measures. Psychological distress represents the seizure-precipitating factor most often reported by patients with epilepsy. To date, no studies have analyzed the role played by the different dimensions of psychological distress quarantine-induced in patients with epilepsy. MATERIALS AND METHODS: We included a total of 40 patients, 18 suffered from generalized, and 22 from focal epilepsy. The patients previously seen in the outpatient clinic during the pre-lockdown period between January and February 2020 were reevaluated after the lockdown period. Psychological distress was evaluated by using the three subscales of Impact of Event Scale-Revised (IES-R). Finally, we employed logistic regression analyses to explore the demographic and clinical features associated to high scores on IES-R. RESULTS: Patients with higher scores on IES-R Intrusion and IES-R Avoidance subscales demonstrated an increased number of epileptic attacks compared to prelockdown period. Multivariate logistic regression analyses showed that a specific subgroup of patients (i.e., older, female with more anxious symptoms) are at higher risk of increased seizure frequency. CONCLUSIONS: Our study confirmed that the frequency of epileptic seizures increased during lockdown when compared to pre-lockdown period. The early identification of patients more vulnerable to worsening is crucial to limit the risk of requiring hospital or clinical treatment during the COVID-19 outbreak.

Connectivity Correlates of Anxiety Symptoms in Drug-Naive Parkinson's Disease Patients.

BACKGROUND: Anxiety symptoms are common in Parkinson's disease (PD). A link between anxiety and cognitive impairment in PD has been demonstrated. OBJECTIVES: Using resting-state functional magnetic resonance imaging, we investigated intrinsic brain network connectivity correlates of anxiety symptoms in a cohort of drug-naive, cognitively unimpaired patients with PD. METHODS: The intrinsic functional brain connectivity of 25 drug-naive, cognitively unimpaired PD patients with anxiety, 25 without anxiety, and 20 matched healthy controls was compared. All patients underwent a detailed behavioral and neuropsychological evaluation. Anxiety presence and severity were assessed using the Parkinson's Disease Anxiety Scale. Single-subject and group-level independent component analyses were used to investigate functional connectivity differences within and between the major resting-state networks. RESULTS: Decreased connectivity within the default-mode and sensorimotor networks (SMN), increased connectivity within the executive-control network (ECN), and divergent connectivity measures within salience and frontoparietal networks (SN and FPN) were detected in PD patients with anxiety compared with those without anxiety. Moreover, patients with anxiety showed a disrupted inter-network connectivity between SN and SMN, ECN, and FPN. Anxiety severity was correlated with functional abnormalities within these networks. CONCLUSIONS: Our findings demonstrated that an abnormal intrinsic connectivity within and between the most reported large-scale networks may represent a potential neural correlate of anxiety symptoms in drug-naive PD patients even in the absence of clinically relevant cognitive impairment. We hypothesize that these specific cognitive and limbic network architecture changes may represent a potential biomarker of treatment response in clinical trials. © 2020 International Parkinson and Movement Disorder Society.

Supplementary motor area functional connectivity in "drug-naïve" Parkinson's disease patients with fatigue.

Fatigue is a common and disabling nonmotor manifestation in patients with Parkinson's disease (PD), and the supplementary motor area (SMA) has been implicated in its pathophysiology. SMA is usually divided in its rostro-caudal axis, with the rostral (pre-) SMA playing a major role in motor planning, and the caudal (proper) SMA related to movement execution. To investigate brain functional connectivity of SMA subregions in de novo, drug-naïve PD patients affected by fatigue, 17 patients with fatigue, 18 without fatigue, and 16 matched healthy controls were recruited. All the participants were not depressed and did not suffer from daytime sleepiness. Parkinson Fatigue Scale (PFS) was used for fatigue screening (cut-off > 3.3 points) and severity rating. Seed-based resting-state functional MRI was used to compare the functional connectivity from bilateral SMA subregions to the whole brain. Voxel-based morphometry analysis was employed to test whether functional connectivity results were related to brain structural differences. PD-related fatigue was associated with an increased connectivity between the left pre-SMA and the left postcentral gyrus as well as a decreased connectivity between the left SMA proper and the left middle frontal gyrus (ps < 0.01). These patterns of functional connectivity were tightly correlated with PFS scores (Pearson's rs < 0.01). No structural brain changes were observed. In early PD, altered functional connectivity of both SMA subregions might play a crucial role in fatigue pathophysiology. These results offer new insights into the mechanisms responsible for fatigue in PD, suggesting possible targets for neuromodulation strategies oriented to modulate the SMA activity.

Central pain processing in "drug-naïve" pain-free patients with Parkinson's disease.

BACKGROUND: Despite its clinical relevance, the pathophysiology of pain in Parkinson's disease (PD) is still largely unknown, and both central and peripheral mechanisms have been invoked. OBJECTIVES: To investigate whether central pain processing is altered in "drug-naive" pain-free PD (dnPD) patients. METHODS: Using event-related functional MRI (fMRI), functional response to forearm heat stimulation (FHS) at two different intensities (41°C and 53°C) was investigated in 20 pain-free dnPD patients, compared with 18 healthy controls (HCs). Secondary analyses were performed to evaluate associations between BOLD signal changes and PD clinical features and behavioral responses. RESULTS: During low-innocuous FHS (41°C), no activation differences were found between dnPD patients and HCs. During high-noxious FHS (53°C) a significantly increased activation in the left somatosensory cortex, left cerebellum, and right low pons was observed in dnPD patients compared to HCs. In the latter experimental condition, fMRI BOLD signal changes in the right low pons (p < .0001; R = -0.8) and in the cerebellum (p = .004; R = -0.7) were negatively correlated with pain intensity ratings only in dnPD patients. No statistically significant difference in experimental pain perception was detected between dnPD patients and HCs. CONCLUSIONS: Our findings suggest that a functional remodulation of pain processing pathways occurs even in the absence of clinically overt pain symptoms in dnPD patients. These mechanisms may eventually become dysfunctional over time, contributing to the emergence of pain symptoms in more advanced PD stages. The comprehension of pain-related mechanisms may improve the clinical approach and therapeutic management of this disabling nonmotor symptom.

Intrinsic brain connectivity predicts impulse control disorders in patients with Parkinson's disease.

BACKGROUND: Impulse control disorders can be triggered by dopamine replacement therapies in patients with PD. Using resting-state functional MRI, we investigated the intrinsic brain network connectivity at baseline in a cohort of drug-naive PD patients who successively developed impulse control disorders over a 36-month follow-up period compared with patients who did not. METHODS: Baseline 3-Tesla MRI images of 30 drug-naive PD patients and 20 matched healthy controls were analyzed. The impulse control disorders' presence and severity at follow-up were assessed by the Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease Rating Scale. Single-subject and group-level independent component analysis was used to investigate functional connectivity differences within the major resting-state networks. We also compared internetwork connectivity between patients. Finally, a multivariate Cox regression model was used to investigate baseline predictors of impulse control disorder development. RESULTS: At baseline, decreased connectivity in the default-mode and right central executive networks and increased connectivity in the salience network were detected in PD patients with impulse control disorders at follow-up compared with those without. Increased default-mode/central executive internetwork connectivity was significantly associated with impulse control disorders development (P < 0.05). CONCLUSIONS: Our findings demonstrated that abnormal brain connectivity in the three large-scale networks characterizes drug-naive PD patients who will eventually develop impulse control disorders while on dopaminergic treatment. We hypothesize that these divergent cognitive and limbic network connectivity changes could represent a potential biomarker and an additional risk factor for the emergence of impulse control disorders. © 2017 International Parkinson and Movement Disorder Society.

Resting-state brain networks in patients with Parkinson's disease and impulse control disorders.

INTRODUCTION: To investigate intrinsic neural networks connectivity changes in Parkinson's disease (PD) patients with and without impulse control disorders (ICD). METHODS: Fifteen patients with PD with ICD (ICD+), 15 patients with PD without ICD (ICD-) and 24 age and sex-matched healthy controls (HC) were enrolled in the study. To identify patients with and without ICD and/or punding, we used the Minnesota Impulsive Disorders Interview (MIDI) and a clinical interview based on diagnostic criteria for each symptom. All patients underwent a detailed neuropsychological evaluation. Whole brain structural and functional imaging was performed on a 3T GE MR scanner. Statistical analysis of functional data was completed using BrainVoyager QX software. Voxel-based morphometry (VBM) was used to test whether between-group differences in resting-state connectivity were related to structural abnormalities. RESULTS: The presence of ICD symptoms was associated with an increased connectivity within the salience and default-mode networks, as well as with a decreased connectivity within the central executive network (p < .05 corrected). ICD severity was correlated with both salience and default mode networks connectivity changes only in the ICD+ group. VBM analysis did not reveal any statistically significant differences in local grey matter volume between ICD+ and ICD- patients and between all patients and HC (p < .05. FWE). CONCLUSIONS: The presence of a disrupted connectivity within the three core neurocognitive networks may be considered as a potential neural correlate of ICD presence in patients with PD. Our findings provide additional insights into the mechanisms underlying ICD in PD, confirming the crucial role of an abnormal prefrontal-limbic-striatal homeostasis in their development.

Functional interictal changes of pain processing in migraine with ictal cutaneous allodynia.

Objective A prospective clinical imaging study has been conducted to investigate pain processing functional pathways during trigeminal heat stimulation (THS) in patients with migraine without aura experiencing ictal cutaneous allodynia (CA) (MwoA CA+). Methods Using whole-brain BOLD-fMRI, functional response to THS at three different intensities (41°, 51° and 53℃) was investigated interictally in 20 adult MwoA CA+ patients compared with 20 MwoA patients without ictal CA (MwoA CA-) and 20 healthy controls (HCs). Secondary analyses evaluated associations between BOLD signal change and clinical features of migraine. Results During moderate-noxious THS (51℃), we observed a significantly greater activation in (a) the anterior cingulate cortex in MwoA CA+ patients compared to HCs and (b) the middle frontal gyrus in MwoA CA+ patients compared to both MwoA CA- patients and HCs. Furthermore, during high-noxious THS (53℃) a significantly decreased activation in the secondary somatosensory cortices was observed in (a) MwoA CA- patients compared to both MwoA CA+ patients and HCs and (b) MwoA CA+ patients compared to HCs. CA severity was positively correlated with the secondary somatosensory cortices activation. Conclusions Our findings suggest that CA may be subtended by both a dysfunctional analgesic compensatory mechanism and an abnormal internal representation of pain in migraine patients.

Functional connectivity underpinnings of fatigue in "Drug-Naïve" patients with Parkinson's disease.

INTRODUCTION: Fatigue is a common problem in PD either in the early or later stage of the disease. Using resting-state functional MRI, we investigated the functional correlates of fatigue in a cohort of "drug-naïve" patients with PD. METHODS: MRI at 3Tesla was collected in 40 patients with PD, 20 with and 20 without fatigue, and 20 matched healthy controls. Presence and the severity of fatigue were defined based on the 16-item Parkinson fatigue scale. Single-subject and group-level independent component analysis was used to investigate functional connectivity differences within the major resting state networks between patients subgroups and healthy controls. In addition, we used voxel-based morphometry to test whether between-group functional changes were related to structural differences. RESULTS: Distressing fatigue was associated with a decreased connectivity in the supplementary motor area within the sensorimotor network and an increased connectivity in the prefrontal and posterior cingulate cortices within the default mode network (P < 0.05 corrected). Fatigue severity was correlated with both sensorimotor and default mode networks connectivity changes. Voxel-based morphometry analysis did not reveal any significant volume differences between all patients with PD and healthy controls and between patients with PD with and without fatigue (P < 0.05; family-wise error). CONCLUSIONS: Our findings revealed that primary PD-related fatigue is associated with an altered default mode network and sensorimotor network connectivity in drug-naïve patients. We hypothesize that these divergent motor and cognitive networks connectivity changes and their adaptive or maladaptive functional outcome may play a prominent role in the pathophysiology of fatigue in PD. © 2016 International Parkinson and Movement Disorder Society.

Cortical thickness changes in patients with Parkinson's disease and impulse control disorders.

INTRODUCTION: To investigate gray matter (GM) and cortical thickness (CTh) changes in patients with Parkinson's disease (PD) with and without Impulse Control Disorders (ICDs). METHODS: Fifteen patients with PD with ICDs (ICD+), 15 patients with PD without ICDs (ICD-) and 24 age and sex-matched healthy controls (HCs) were enrolled in the study. Patients were screened for ICDs by the Minnesota Impulsive Disorders Interview (MIDI) and underwent an extensive neuropsychological evaluation. Whole brain structural imaging was performed on a 3T GE MR scanner. Surface-based investigation of CTh was carried out by using Freesurfer Software. We also used voxel-based morphometry to investigate the pattern of GM atrophy. RESULTS: The voxel-wise analysis of the regional differences in CTh revealed that ICD+ patients showed a statistically significant (p<0.01 FDR) thicker cortex when compared to both ICD- patients and HCs in the anterior cingulate (ACC) and orbitofrontal (OFC) cortices. Moreover, cortical thickness abnormalities were positively correlated with ICD severity (p<0.05 FDR). VBM data did not reveal any statistically significant differences in local GM. CONCLUSIONS: Our results demonstrate that ICD+ patients have an increased CTh in limbic regions when compared with ICD- patients at the same disease stage and with an equal daily levodopa equivalent dose. These corticometric changes may play a role in the lack of inhibition of compulsive behaviors. The presence of such structural abnormalities may result from a synergistic effect of dopaminergic therapy in patients with a pre-existing vulnerability to develop an abnormal behavioral response to external stimuli.

Structural connectivity in Parkinson's disease.

In the last decades a rapid evolution of structural advanced MRI techniques has occurred supporting the diagnosis of idiopathic Parkinson's disease, allowing us to further investigate the disease progression from nigral to extra-nigral degeneration and finally to detect pre-manifest Parkinson's disease. Diffusion-weighted imaging and diffusion tensor imaging represent advanced morphological approaches useful to detect changes in white matter integrity. These techniques, indeed, by measuring the translational displacement of water molecules in terms of fractional anisotropy and mean diffusivity, represent a powerful tool for the visualization of white matter changes, offering a unique window on brain structural connectivity. Microstructural changes can either be extracted locally in predefined regions using a region of interest analysis and tractography or, alternatively, globally into the brain using a voxel-based analysis or tract-based spatial statistics. The aim of this report was not only to summarize the distribution and nature of these alterations in Parkinson's disease but also to highlight the potential correlations between clinical, cognitive parameters and microstructural tissue loss.

Increased interictal visual network connectivity in patients with migraine with aura.

OBJECTIVE: To evaluate the resting-state visual network functional connectivity in patients with migraine with aura and migraine without aura during the interictal period. POPULATION AND METHODS: Using resting-state functional magnetic resonance imaging, the resting-state visual network integrity was investigated in 20 patients with migraine with aura, 20 age- and sex-matched patients with migraine without aura and 20 healthy controls. Voxel-based morphometry and diffusion tensor imaging were used to assess whether between-groups differences in functional connectivity were dependent on structural or microstructural changes. RESULTS: Resting-state functional magnetic resonance imaging data showed that patients with migraine with aura, compared to both patients with migraine without aura and healthy controls, had a significant increased functional connectivity in the right lingual gyrus within the resting-state visual network (p < 0.05, cluster-level corrected). This abnormal resting-state visual network functional connectivity was observed in the absence of structural or microstructural abnormalities and was not related to migraine severity. CONCLUSIONS: Our imaging data revealed that patients with migraine with aura exhibit an altered resting-state visual network connectivity. These results support the hypothesis of an extrastriate cortex involvement, centred in the lingual gyrus, a brain region related to mechanisms underlying the initiation and propagation of the migraine aura. This resting-state functional magnetic resonance imaging finding may represent a functional biomarker that could differentiate patients experiencing the aura phenomenon from patients with migraine without aura, even between migraine attacks.

Transcutaneous supraorbital neurostimulation in "de novo" patients with migraine without aura: the first Italian experience.

BACKGROUND: Transcutaneous supraorbital neurostimulation (tSNS) has been recently found superior to sham stimulation for episodic migraine prevention in a randomized trial. We evaluated both the safety and efficacy of a brief period of tSNS in a group of patients with migraine without aura (MwoA). METHODS: We enrolled 24 consecutive patients with MwoA experiencing a low frequency of attacks, which had never taken migraine preventive drugs in the course of their life. Patients performed a high frequency tSNS and were considered "compliant" if they used the tSNS for ≥ 2/3 of the total time expected. For this reason, four patients were excluded from the final statistical analysis. Primary outcome measures were the reduction migraine attacks and migraine days per month (p < 0.05). Furthermore, we evaluated the percentage of patients having at least 50% reduction of monthly migraine attacks and migraine days. Secondary outcome measures were the reduction of headache severity during migraine attacks and HIT-6 (Headache Impact Test) rating as well as in monthly intake of rescue medication (p < 0.05). Finally, compliance and satisfaction to treatment and potential adverse effects related to tSNS have been evaluated. RESULTS: Between run-in and second month of tSNS treatment, both primary and secondary endpoints were met. Indeed, we observed a statistically significant decrease in the frequency of migraine attacks (p < 0.001) and migraine days (p < 0.001) per month. We also demonstrated at least 50% reduction of monthly migraine attacks and migraine days in respectively 81 and 75% of patients. Furthermore, a statistically significant reduction in average of pain intensity during migraine attacks (p = 0.002) and HIT-6 rating (p < 0.001) and intake of rescue medication (p < 0.001) has been shown. All patients showed good compliance levels and no relevant adverse events. CONCLUSION: In patients experiencing a low frequency of attacks, significant improvements in multiple migraine severity parameters were observed following a brief period of high frequency tSNS. Therefore, tSNS may be considered a valid option for the preventive treatment of migraine attacks in patients who cannot or are not willing to take daily medications, or in whom low migraine frequency and/or intensity would not require pharmacological preventive therapies.

Abnormal Connectivity Within Executive Resting-State Network in Migraine With Aura.

OBJECTIVE: To evaluate the executive control network connectivity integrity in patients with migraine with aura, in the interictal period, in comparison to patients with migraine without aura and healthy controls. METHODS: Using resting-state functional magnetic resonance imaging, we compared executive control network functional connectivity in 20 patients with migraine with aura vs 20 sex and age-matched patients with migraine without aura and 20 healthy controls, and assessed the correlation between executive control network functional connectivity and clinical features of patients with migraine. We used voxel-based morphometry and diffusion tensor imaging to investigate potential structural or microstructural changes. RESULTS: Neuropsychological data revealed no significant executive dysfunction in patients with migraine. Resting-state functional magnetic resonance imaging showed significant group differences in right middle frontal gyrus (Talairach coordinates x, y, z: +26, +2, +48) and dorsal anterior cingulate cortex (Talairach coordinates x, y, z: +6, +13, +49), indicating that these areas had a decreased component activity in both patients with migraine with and without aura when compared with healthy controls. Conversely, there were no significant differences in the executive control network functional connectivity between patients with migraine with and without aura (P < .05, cluster-level corrected). These functional abnormalities are independent of structural and microstructural changes and did not significantly correlate with clinical parameters. CONCLUSIONS: Our data demonstrate a disrupted executive control network functional connectivity in patients with migraine with and without aura, in the interictal period. Although this functional phenomenon is present in the absence of clinically relevant executive deficits, it may reflect a vulnerability to executive high-demanding conditions of daily living activities in patients with migraine.