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Background Computer Aided Diagnosis (CAD) systems have been developing in the last years with the aim of helping the diagnosis and monitoring of several diseases. We present a novel CAD system based on a hybrid Watershed-Clustering algorithm for the detection of lesions in Multiple Sclerosis. Methods Magnetic Resonance Imaging scans (FLAIR sequences without gadolinium) of 20 patients affected by Multiple Sclerosis with hyperintense lesions were studied. The CAD system consisted of the following automated processing steps: images recording, automated segmentation based on the Watershed algorithm, detection of lesions, extraction of both dynamic and morphological features, and classification of lesions by Cluster Analysis. Results The investigation was performed on 316 suspect regions including 255 lesion and 61 non-lesion cases. The Receiver Operating Characteristic analysis revealed a highly significant difference between lesions and non-lesions; the diagnostic accuracy was 87% (95% CI: 0.83–0.90), with an appropriate cut-off of 192.8; the sensitivity was 77% and the specificity was 87%. Conclusions In conclusion, we developed a CAD system by using a modified algorithm for automated image segmentation which may discriminate MS lesions from non-lesions. The proposed method generates a detection out-put that may be support the clinical evaluation.

Purpose Many studies have evaluated the characteristics of insight, especially in psychiatric patient populations. However, this construct has been poorly examined within neurological disorders. We explored the relationship between altered insight, mood disorders and neurocognitive functioning in a sample of patients admitted to a neurological rehabilitation unit. Method Each patient, at the time of hospitalization (T0), underwent an evaluation of the overall cognitive profile, of the frontal functions, and the compilation of scales aimed at investigating the 4 domains under examination of insight and anxiety-depressive symptomatology. After 3 months (T1), at the end of the rehabilitative and supportive treatment, the patients underwent the same evaluation performed at T0. Results Our results showed significant differences between T0 and T1 in the variables examined related to insight. In particular, there was a correlation between the global cognitive profile, including executive functions, and all insight domains. This confirms how the degree of cognitive deficit, especially of executive type, affects all levels of awareness of the individual. We have also found correlations between mood disorders and insight. In particular, our results show that depression versus anxiety plays a fundamental role in a person's awareness. Conclusions The study of insight is fundamental not only for the relapses it could have on the patient, but also on those to health care professionals. In fact, having an adequate insight could lead to a greater motivation of the patient to be more complimentary to pharmacological and rehabilitative therapies, also favoring social reintegration.

Temporal Lobe Epilepsy (TLE) is a chronic neurological disorder, often associated to cognitive deficits. Focal cortical dysplasia (FCD), frequently associated to high risk of epilepsy, can lead to abnormalities in cognition. The aim of this study was to explore neuropsychological performance and to identify potential risk factors for cognitive impairment in TLE subjects with associated FCD. Our sample was composed by 46 TLE patients with FCD (37.76 ± 12.60 years; 29 females and 16 males) and 44 healthy controls (41.05 ± 9.74 years; 25 females and 19 males). All subjects performed a neuropsychological battery associated to a measurement of depression and anxiety. Results showed a poor performance of all domains of cognitive functioning and identified age of epilepsy onset as potential risk factor of cognitive impairment. These findings support the importance to focus on cognitive impairment in TLE patients with FCD to better clarify the impact of epilepsy features and FCD in therapeutic and everyday management.

Sleep Disturbances are a non motor symptom very common in Parkinson's Disease characterized by insomnia, worse quality of sleep and Excessive Daytime Sleepiness. Several factors have been associated with these disorders, especially neuropsychiatric symptoms, such as anxiety and depression. The aim of the study was to investigate the relationship between sleep quality and mood disorders and the effects on Quality of Life in Parkinson's Disease patients. We have enrolled 48 Parkinson's Disease patients divided in two group according to their quality of sleep. All of them completed standardized questionnaires such as Beck Depression Inventory, Hamilton Anxiety Rating Scale, Parkinson Disease Questionnaire, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index. Inter-group analysis showed a significant difference among two groups in anxiety, depression, excessive daytime sleepiness and quality of sleep. Sleep problems, excessive daytime sleepiness, depressive and anxiety symptoms are frequent in PD patients and are significantly associated each other.

Vascular dementia and Alzheimer's disease are the most diffuse forms of dementia. Sometimes, they are difficult to distinguish due to overlaps in symptomatology, pathophysiology, and comorbidity. Visual constructive apraxia is very common in dementia and impairment in these abilities can provide clinical information for differential diagnosis.All patients underwent Mini Mental State Examination (MMSE) at basal visit (T0) and after 1 year (T1). We analyzed differences in Qualitative Scoring Method for the Pentagon Copying Test and we explored the visual constructive apraxia evolution in these 2 types of dementia.In intragroup analysis, we found a significant difference in each group between T0 and T1 in MMSE score (P .001) and total qualitative scores (P .001). In intergroup analysis, at T0, we found significance difference in total qualitative scores (P .001), in numbers of angles (P = .005), in distance/intersection (P .001), in closure/opening (P = .01), in rotation (P .001), and in closing-in (P .001). At T1, we found significance difference in total qualitative scores (P .001), in particular, in numbers of angles (P .001), in distance/intersection (P .001), in closure/opening (P .001), in rotation (P .001), and in closing-in (P .001). The total score showed the highest classification accuracy (.90, 95%CI = .81-0.96) in differentiating patients with Alzheimer's disease from patients with vascular dementia. The optimal threshold value was k = 5. with .84 (95%CI = .69-0.93) sensitivity and .81 (95%CI = .64-0.93) specificity.Patients with vascular dementia showed more accuracy errors and graphic difficulties than patients with Alzheimer's disease. Qualitative analysis of copy provided a sensitive measure of visual constructive abilities in differentiating dementias, underlining a particularly vulnerability of visuoconstructive functions in vascular dementia compared with Alzheimer's disease.

Background Neuropsychiatric disorders are commonly observed in patients following a stroke. Among 30%-60% of poststroke patients suffer from depression and anxiety (18%-25%). Some authors suggest an association between psychological symptoms and lesions in specific brain areas. In particular, lesions in left frontal cortex and left basal ganglia are frequently associated with poststroke depression and with comorbidity of anxiety and depression, whereas isolated anxiety symptoms are frequently observed after right hemispheric lesions. Methods We investigated the relationship between depressive symptoms and anxiety in patients with subacute stroke and lesion side, motor disability, and cognitive impairment. We enrolled 100 patients undergoing a rehabilitative program within 1-3 months after a first-onset stroke. Results Our patients presented mild to moderate depressive and anxious symptoms after stroke. In the comparison between patients with right and left lesions, during subacute poststroke phase, we did not find a specific link between existence of psychiatric symptoms and lesion side. However, in left lesion, depression correlated with age and alteration in delayed memory and attention, whereas memory deficit influenced anxiety symptoms. On the contrary, in right lesion, depressive symptoms were associated with attention ability, whereas anxiety was related to memory and attention. Depression and anxiety were not related to degree of neurological and functional deficits. Conclusions The comorbidity between stroke and psychopathological disorders has been recognized as syndrome and should be diagnosed early and treated in order to improve the quality of life of patients and caregivers, and to improve rehabilitative process.

The aim of this study was to assess metabolic changes in the motor cortex in de novo Parkinson's disease (PD) patients before and after therapy with ropinirole. Twenty de novo drug-naive PD patients and 15 healthy controls underwent conventional magnetic resonance imaging and proton magnetic resonance spectroscopy imaging ((1)H-MRSI). The resonance intensities of N-acetylaspartate (NAA) and choline (Cho) were normalized for the resonance intensities of creatine (Cr). At baseline, lower NAA/Cr and NAA/Cho ratios and higher Cho/Cr ratios were found in the motor cortex of PD patients compared with controls (p

Background Rehabilitation of impaired cognitive functions begins to be considered a standard component of medical care after acquired brain injury. Indeed, many evidences support the effectiveness of the two major categories of techniques, i.e. the traditional and computer-assisted ones, which are widely used in cognitive rehabilitative treatment. Objective Aim of this study is to evaluate the effects of pc – cognitive training in brain injury patients. Methods We studied 35 subjects (randomly divided into two groups), affected by traumatic or vascular brain injury, having attended from January 2010 to December 2012 the Laboratory of Robotic and Cognitive Rehabilitation of IRCCS Neurolesi of Messina. Cognitive impairment was investigated through psychometric battery, administered before (T0) and two months (T1) after the cognitive pc-training, which was performed only by the experimental group, in addition to conventional treatment. Statistical analysis was performed using Wilcoxon test with a p Results At time T0, all patients showed language deficits and cognitive alterations in visual attention and memory abilities. After the rehabilitation program we noted a global improvement in both the groups. However, at T1, the experimental group showed a greater cognitive improvement than the control group, with significant differences in nearly all the neuropsychological tests performed. Conclusions Our data suggest that cognitive pc-training may be a promising methodology to optimize the rehabilitation outcomes following brain injury.

With the recent advances in neuroimaging it has become possible to characterize the cerebral reorganization that occurs in response to therapy and the conditions under which this reorganization occurs. Diffusion tensor imaging (DTI) is a neuroimaging technique that allows us to visualize white matter tracts and potential changes associated with different treatments. To date, only few data on structural neuroplasticity related to the recovery of poststroke aphasia were reported. We describe a case of aphasic stroke patient, who was studied before and after the intense rehabilitative treatment by using neuropsychologic evaluation and DTI examination, to assess the integrity of the arcuate fasciculus related to motor, language, and cognitive recovery.