Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions.

Facial expressions are among the most powerful signals for human beings to convey their emotional states. Indeed, emotional facial datasets represent the most effective and controlled method of examining humans' interpretation of and reaction to various emotions. However, scientific research on emotion mainly relied on static pictures of facial expressions posed (i.e., simulated) by actors, creating a significant bias in emotion literature. This dataset tries to fill this gap, providing a considerable amount (N = 1458) of dynamic genuine (N = 707) and posed (N = 751) clips of the six universal emotions from 56 participants. The dataset is available in two versions: original clips, including participants' body and background, and modified clips, where only the face of participants is visible. Notably, the original dataset has been validated by 122 human raters, while the modified dataset has been validated by 280 human raters. Hit rates for emotion and genuineness, as well as the mean, standard deviation of genuineness, and intensity perception, are provided for each clip to allow future users to select the most appropriate clips needed to answer their scientific questions.

The Rao's Brief Repeatable Battery version B: normative values with age, education and gender corrections in an Italian population.

The Brief Repeatable Battery (BRB) of Neuropsychological Tests is one of the most widely used instruments to assess cognitive functioning in multiple sclerosis patients. However, to date, normative data for the Italian population are available only for the version A, which limits the use of the battery in longitudinal evaluations. We administered the BRB version B to 132 healthy subjects to obtain normative values taking into account the influences of demographic factors on the test scores and calculating corrections for these relevant factors (age, gender and education). Higher age and educational level were associated with better performance on all the tests. The World List Generation was also influenced by gender, since women performed better than men. Moreover, some tests of the version B seem to be easier than those of version A. Our data can improve the applicability of the BRB for both clinical and research purposes in longitudinal assessments.

When the single matters more than the group: very high false positive rates in single case Voxel Based Morphometry.

Voxel Based Morphometry (VBM) studies typically involve a comparison between groups of individuals; this approach however does not allow inferences to be made at the level of the individual. In recent years, an increasing number of research groups have attempted to overcome this issue by performing single case studies, which involve the comparison between a single subject and a control group. However, the interpretation of the results is problematic; for instance, any significant difference might be driven by individual variability in neuroanatomy rather than the neuropathology of the disease under investigation, or might represent a false positive due to the data being sampled from non-normally distributed populations. The aim of the present investigation was to empirically estimate the likelihood of detecting significant differences in gray matter volume in individuals free from neurological or psychiatric diagnosis. We compared a total of 200 single subjects against a group of 16 controls matched for age and gender, using two independent datasets from the Neuroimaging Informatics Tools and Resources Clearinghouse. We report that the chance of detecting a significant difference in a disease-free individual is much higher than previously expected; for instance, using a standard voxel-wise threshold of p<0.05 (corrected) and an extent threshold of 10 voxels, the likelihood of a single subject showing at least one significant difference is as high as 93.5% for increases and 71% for decreases. We also report that the chance of detecting significant differences was greatest in frontal and temporal cortices and lowest in subcortical regions. The chance of detecting significant differences was inversely related to the degree of smoothing applied to the data, and was higher for unmodulated than modulated data. These results were replicated in the two independent datasets. By providing an empirical estimation of the number of significant increases and decreases to be expected in each cortical and subcortical region in disease-free individuals, the present investigation could inform the interpretation of future single case VBM studies.

General intellectual impairment in chronic right hemisphere damaged patients with anosognosia: a group study.

The study evaluates the possible relations between cognitive impairment, persisting anosognosia for hemiplegia and peripersonal neglect. Thirty eight chronic right hemisphere stroke patients were divided in three age- and education-matched groups: A (n = 13) patients with left hemiparesis, peripersonal neglect, and anosognosia for hemiplegia; B (n = 12) patients with left hemiparesis and peripersonal neglect, and C (n = 13) patients with left hemiparesis only. We used MMSE and WAIS Verbal IQ and verbal subtests to assess cognitive impairment in patients, in order to avoid a bias due to visuospatial deficit, which is common in patients with neglect. VIQ, Information, Digit Span and Vocabulary WAIS subtests as well as MMSE were found to be significantly lower in group A versus group B. No difference was found in any test between groups B and C, indicating a general worse cognition in patients compared to those without anosognosia for hemiplegia. Patients with anosognosia for hemiplegia also showed larger brain lesions and, more frequently, frontal, parietal, temporal and basal ganglia involvement, particularly if they had low verbal IQ, indicating a relationship between cognitive impairment, persisting anosognosia for hemiplegia and large right hemisphere lesions.

Translating research findings into clinical practice: a systematic and critical review of neuroimaging-based clinical tools for brain disorders.

A pivotal aim of psychiatric and neurological research is to promote the translation of the findings into clinical practice to improve diagnostic and prognostic assessment of individual patients. Structural neuroimaging holds much promise, with neuroanatomical measures accounting for up to 40% of the variance in clinical outcome. Building on these findings, a number of imaging-based clinical tools have been developed to make diagnostic and prognostic inferences about individual patients from their structural Magnetic Resonance Imaging scans. This systematic review describes and compares the technical characteristics of the available tools, with the aim to assess their translational potential into real-world clinical settings. The results reveal that a total of eight tools. All of these were specifically developed for neurological disorders, and as such are not suitable for application to psychiatric disorders. Furthermore, most of the tools were trained and validated in a single dataset, which can result in poor generalizability, or using a small number of individuals, which can cause overoptimistic results. In addition, all of the tools rely on two strategies to detect brain abnormalities in single individuals, one based on univariate comparison, and the other based on multivariate machine-learning algorithms. We discuss current barriers to the adoption of these tools in clinical practice and propose a checklist of pivotal characteristics that should be included in an "ideal" neuroimaging-based clinical tool for brain disorders.

The charm of structural neuroimaging in insanity evaluations: guidelines to avoid misinterpretation of the findings.

Despite the popularity of structural neuroimaging techniques in twenty-first-century research, its results have had limited translational impact in real-world settings, where inferences need to be made at the individual level. Structural neuroimaging methods are now introduced frequently to aid in assessing defendants for insanity in criminal forensic evaluations, with the aim of providing "convergence" of evidence on the mens rea of the defendant. This approach may provide pivotal support for judges' decisions. Although neuroimaging aims to reduce uncertainty and controversies in legal settings and to increase the objectivity of criminal rulings, the application of structural neuroimaging in forensic settings is hampered by cognitive biases in the evaluation of evidence that lead to misinterpretation of the imaging results. It is thus increasingly important to have clear guidelines on the correct ways to apply and interpret neuroimaging evidence. In the current paper, we review the literature concerning structural neuroimaging in court settings with the aim of identifying rules for its correct application and interpretation. These rules, which aim to decrease the risk of biases, focus on the importance of (i) descriptive diagnoses, (ii) anatomo-clinical correlation, (iii) brain plasticity and (iv) avoiding logical fallacies, such as reverse inference. In addition, through the analysis of real forensic cases, we describe errors frequently observed due to incorrect interpretations of imaging. Clear guidelines for both the correct circumstances for introducing neuroimaging and its eventual interpretation are defined.

Education protects against cognitive changes associated with multiple sclerosis.

PURPOSE: Although neuropsychological impairments are common in Multiple Sclerosis (MS), the manifestation of cognitive deficits may vary greatly across MS patients. Here, we explored the influence of cognitive reserve proxy indices (education and occupation) and perceived fatigue on cognitive performance. METHODS: Fifty relapsing-remitting MS patients were evaluated. Cognitive performance was measured using the Paced Auditory Serial Addition Test (PASAT), in which information processing speed can be manipulated by varying the presentation speed of stimuli. RESULTS: MS patients with low education performed worse than healthy controls at faster PASAT speeds. By contrast, no difference was observed between MS patients with high education and matched healthy controls, regardless of PASAT speed. Moreover, we found that neither occupational attainment nor perceived fatigue has an influence on MS patients' cognitive performance. CONCLUSION: These findings provide evidence that higher education could be protective against MS-associated cognitive deficits and that high speed PASAT versions are more suitable for identifying compensatory capacities compared to low speed PASAT versions.

Persistence of the effects of attention and executive functions intensive rehabilitation in relapsing remitting multiple sclerosis.

BACKGROUND: Neuropsychological rehabilitation efficacy in multiple sclerosis (MS) is a currently investigated issue. We reported, in a single blind controlled study, that an intensive short duration cognitive training of attention and executive functions significantly improves the treated functions and reduces depression in MS. The persistence of these effects over time are unknown. OBJECTIVE: To evaluate the persistence over time of neuropsychological improvement due to cognitive training nine months after rehabilitation onset. METHODS: This is a single blind randomized controlled study. 24 MS patients were randomly assigned to experimental group (n=13) and received PC assisted neuropsychological treatment for three months, or to control group (n=11), receiving no treatment. Patients were submitted to neuropsychological evaluation, depression and quality of life questionnaires at baseline, three months and nine months later. RESULTS: Nine months follow up compared to baseline evaluation shows a statistically significant improvement (p<0.05) in attention, information processing and executive functions tests (PASAT 3″, COWA/S, WCSTpe), in depression and quality of life questionnaires in rehabilitated patients only. reliable change index (RCI) and modified RCI confirmed the clinical significance of this improvement in rehabilitated patients. CONCLUSIONS: Three months intensive neuropsychological rehabilitation of attention, information processing and executive functions induces a long lasting and clinically relevant neuropsychological improvement over time and a persistent depression and quality of life amelioration in patients with RR MS.

Enrichment through biomarkers in clinical trials of Alzheimer's drugs in patients with mild cognitive impairment.

Clinical trials of disease modifying drugs for Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI) might benefit from enrichment with true AD cases. Four hundred five MCI patients (143 converters and 262 nonconverters to AD within 2 years) of the Alzheimer's disease Neuroimaging Initiative (ADNI) were used. Markers for enrichment were hippocampal atrophy on magnetic resonance (MRI), temporoparietal hypometabolism on FDG PET, cerebrospinal fluid (CSF) biomarkers (Abeta42, tau, and phospho-tau), and cortical amyloid deposition (11C-PIB positron emission tomography (PET)). Two separate enrichment strategies were tested to A) maximize the proportion of MCI converters screened in, and B) minimize the proportion of MCI converters screened out. Based on strategy A, when compared with no enrichment and ADAS-Cog as an outcome measure (sample size of 834), enrichment with 18F-FDG PET and hippocampal volume lowered samples size to 260 and 277 cases per arm, but at the cost of screening out 1,597 and 434 cases per arm. When compared with no enrichment and clinical dementia rating (CDR-SOB) as an outcome measure (sample size of 674), enrichment with hippocampal volume and Abeta42 lowered sample sizes to 191 and 291 cases per arm, with 639 and 157 screened out cases. Strategy B reduced the number of screened out cases (740 for [11C]-PIB PET, 101 hippocampal volume, 82 ADAS-COG and 330 for [18F]-FDG PET) but at the expense of decreased power and a relative increase size (740 for [11C]-PIB PET, 676 for hippocampal volume, 744 for ADAS-Cog, and 517 for [18F]-FDG PET). Enrichment comes at the price of an often relevant proportion of screened out cases, and in clinical trial settings, the balance between enrichment of screened in and loss of screened out patients should be critically discussed.