Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health surveys

The DSM-IV diagnoses generated by the fully structured lay-administered Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) in the WHO World Mental Health (WMH) surveys were compared to diagnoses based on follow-up interviews with the clinician-administered non-patient edition of the Structured Clinical Interview for DSM-IV (SCID) in probability subsamples of the WMH surveys in France, Italy, Spain, and the US. CIDI cases were oversampled. The clinical reappraisal samples were weighted to adjust for this oversampling. Separate samples were assessed for lifetime and 12-month prevalence. Moderate to good individual-level CIDI-SCID concordance was found for lifetime prevalence estimates of most disorders. The area under the ROC curve (AUC, a measure of classification accuracy that is not influenced by disorder prevalence) was 0.76 for the dichotomous classification of having any of the lifetime DSM-IV anxiety, mood and substance disorders assessed in the surveys and in the range 0.62-0.93 for individual disorders, with an inter-quartile range (IQR) of 0.71-0.86. Concordance increased when CIDI symptom-level data were added to predict SCID diagnoses in logistic regression equations. AUC for individual disorders in these equations was in the range 0.74-0.99, with an IQR of 0.87-0.96. CIDI lifetime prevalence estimates were generally conservative relative to SCID estimates. CIDI-SCID concordance for 12-month prevalence estimates could be studied powerfully only for two disorder classes, any anxiety disorder (AUC = 0.88) and any mood disorder (AUC = 0.83). As with lifetime prevalence, 12-month concordance improved when CIDI symptom-level data were added to predict SCID diagnoses. CIDI 12-month prevalence estimates were unbiased relative to SCID estimates. The validity of the CIDI is likely to be under-estimated in these comparisons due to the fact that the reliability of the SCID diagnoses, which is presumably less than perfect, sets a ceiling on maximum CIDI-SCID concordance.     

Neural plasticity and adult neurogenesis: the deep biology perspective

The recognition that neurogenesis does not stop with adolescence has spun off research towards the reduction of brain disorders by enhancing brain regeneration. Adult neurogenesis is one of the tougher problems of developmental biology as it requires the generation of complex intracellular and pericellular anatomies, amidst the danger of neuroinflammation. We here review how a multitude of regulatory pathways optimized for early neurogenesis has to be revamped into a new choreography of time dependencies. Distinct pathways need to be regulated, ranging from neural growth factor induced differentiation to mitochondrial bioenergetics, reactive oxygen metabolism, and apoptosis. Requiring much Gibbs energy consumption, brain depends on aerobic energy metabolism, hence on mitochondrial activity. Mitochondrial fission and fusion, movement and perhaps even mitoptosis, thereby come into play. All these network processes are interlinked and involve a plethora of molecules. We recommend a deep thinking approach to adult neurobiology.     

Resting state cortical electroencephalographic rhythms and white matter vascular lesions in subjects with Alzheimer's disease: an Italian multicenter study

Resting state electroencephalographic (EEG) rhythms do not deteriorate with the increase of white matter vascular lesion in amnesic mild cognitive impairment (MCI) subjects [1], although white matter is impaired along Alzheimer's disease (AD). Here we tested whether this is true even in AD subjects. Closed-eye resting state EEG data were recorded in 40 healthy elderly (Nold), 96 amnesic MCI, and 83 AD subjects. White matter vascular lesions were indexed by magnetic resonance imaging recorded in the MCI and AD subjects (about 42% of cases following ADNI standards). The MCI subjects were divided into two sub-groups based on the median of the white matter lesion, namely MCI+ (people with highest vascular load; n = 48) and MCI- (people with lowest vascular load; n = 48). The same was true for the AD subjects (AD+, n = 42; AD-, n = 41). EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), beta2 (20-30 Hz), and gamma (30-40 Hz). LORETA software estimated cortical EEG sources. When compared to Nold group, MCI and AD groups showed well known abnormalities of delta and alpha sources. Furthermore, amplitude of occipital, temporal, and limbic alpha 1 sources were higher in MCI+ than MCI- group. As a novelty, amplitude of occipital delta sources was lower in AD+ than AD- group. Furthermore, central, parietal, occipital, temporal, and limbic alpha sources were higher in amplitude in AD+ than AD- group. Amplitude of these sources was correlated to global cognitive status (i.e., Mini Mental State Evaluation score). These results suggest that in amnesic MCI and AD subjects, resting state posterior delta and alpha EEG rhythms do not deteriorate with the increase of white-matter vascular lesion. These rhythms might be more sensitive to AD neurodegenerative processes and cognitive status rather than to concomitant lesions to white matter.     

Combining neuropsychological and structural neuroimaging indicators of conversion to Alzheimer's disease in amnestic mild cognitive impairment

Morphometric and neuropsychological retrospective studies of amnestic mild cognitive impairment (MCI) have demonstrated that regional atrophies and cognitive impairments may differentiate stable from progressing MCI. No measure has proved helpful prospectively. In this study, twenty five amnestic MCI patients and 25 healthy controls underwent structural MRI and comprehensive neuropsychological assessment. The groups' grey matter volumes were compared with voxel based morphometry and were also correlated with scores obtained on paired associates learning and category fluency tasks. MCI patients had significantly reduced grey matter volume in left mediotemporal and other neocortical regions compared with controls. Atrophy in perirhinal and anterior inferior temporal cortex was associated with poor scores on both category fluency and paired associates learning tasks. After 36 months, 44% of the MCI sample converted to dementia. Converter and non-converter MCI subgroups differed in paired associates learning and in category fluency scores, and showed limited differences in grey matter loss in the hippocampal complex. Variable atrophy in the hippocampus was not a relevant element in the converter/non converter distinction, but converters had significant volumetric reductions in the perhirinal cortex and in other anterior temporal and frontal neocortical areas. A high proportion of converters (91%) could be identified from baseline data using a combination of measures of regional atrophy in left temporal association cortex and poor scores on paired associates learning and category fluency tasks. This combined approach may offer a better option than using each measure alone to prospectively identify individuals at more immediate risk of conversion to dementia in the MCI population. The clinical advantage of this combination of structural MRI and neuropsychological measures in predicting conversion to dementia will need additional prospective validation.     

Real world experience with teriflunomide in multiple sclerosis: the TER-Italy study

Journal of Neurology - To identify baseline factors associated with disease activity in patients with relapsing–remitting multiple sclerosis (RRMS) under teriflunomide treatment. This was an...     

Delirium in COVID-19 patients: a multicentric observational study in Italy

Neurological Sciences - Although recent data show that SARS-CoV-2 infection seems to affect the central nervous system (CNS), little is known about the neuropsychiatric effects resulting from this...     

Qualitative smell/taste disorders as sequelae of acute COVID-19

Neurological Sciences - Qualitative smell/taste disorders (such as phantosmia, parosmia, phantogeusia, and parageusia) have not yet been fully characterized in patients who had COVID-19, whereas...     

The nonsense mutation stop+4 model correlates with motor changes in Duchenne muscular dystrophy

The aim was to assess 3-year longitudinal data using 6MWT in 26 ambulant boys affected by DMD carrying nonsense mutations and to compare their results to other small mutations. We also wished to establish, within the nonsense mutations group, patterns of change according to several variables. Patients with nonsense mutations were categorized according to the stop codon type newly created by the mutation and also including the adjacent 5′ (upstream) and 3′ (downstream) nucleotides. No significant difference was found between nonsense mutations and other small mutations (p > 0.05) on the 6MWT. Within the nonsense mutations group, there was no difference in 6MWT when the patients were subdivided according to: Type of stop codon, frame status of exons involved, protein domain affected. In contrast, there was a difference when the stop codon together with the 3′ adjacent nucleotide (“stop+4 model”) was considered (p < 0.05) with patients with stop codon TGA and 3′ adjacent nucleotide G (TGAG) having a more rapid decline. Our finding suggest that the stop+4 model may help in predicting functional changes. This data will be useful at the time of interpreting the long term follow up of patients treated with Ataluren that are becoming increasingly available.     

Anatomical characterization of the cannabinoid CB1 receptor in cell‐type–specific mutant mouse rescue models

Type 1 cannabinoid (CB₁) receptors are widely distributed in the brain. Their physiological roles depend on their distribution pattern, which differs remarkably among cell types. Hence, subcellular compartments with little but functionally relevant CB₁ receptors can be overlooked, fostering an incomplete mapping. To overcome this, knockin mice with cell‐type–specific rescue of CB₁ receptors have emerged as excellent tools for investigating CB₁ receptors’ cell‐type–specific localization and sufficient functional role with no bias. However, to know whether these rescue mice maintain endogenous CB₁ receptor expression level, detailed anatomical studies are necessary. The subcellular distribution of hippocampal CB₁ receptors of rescue mice that express the gene exclusively in dorsal telencephalic glutamatergic neurons (Glu‐CB₁‐RS) or GABAergic neurons (GABA‐CB₁‐RS) was studied by immunoelectron microscopy. Results were compared with conditional CB₁ receptor knockout lines. As expected, CB₁ immunoparticles appeared at presynaptic plasmalemma, making asymmetric and symmetric synapses. In the hippocampal CA1 stratum radiatum, the values of the CB₁ receptor‐immunopositive excitatory and inhibitory synapses were Glu‐CB₁‐RS, 21.89% (glutamatergic terminals); 2.38% (GABAergic terminals); GABA‐CB₁‐RS, 1.92% (glutamatergic terminals); 77.92% (GABAergic terminals). The proportion of CB₁ receptor‐immunopositive excitatory and inhibitory synapses in the inner one‐third of the dentate molecular layer was Glu‐CB₁‐RS, 53.19% (glutamatergic terminals); 2.30% (GABAergic terminals); GABA‐CB₁‐RS, 3.19% (glutamatergic terminals); 85.07% (GABAergic terminals). Taken together, Glu‐CB₁‐RS and GABA‐CB₁‐RS mice show the usual CB₁ receptor distribution and expression in hippocampal cell types with specific rescue of the receptor, thus being ideal for in‐depth anatomical and functional investigations of the endocannabinoid system. J. Comp. Neurol. 525:302–318, 2017. © 2016 Wiley Periodicals, Inc.