Facial emotion recognition deficits are associated with hypomimia and related brain correlates in Parkinson's disease.

Hypomimia is a frequent manifestation in Parkinson's disease (PD) that can affect interpersonal relationships and quality of life. Recent studies have suggested that hypomimia is not only related to motor dysfunction but also to impairment in emotional processing networks. Therefore, we hypothesized that the severity of hypomimia could be associated with performance on a task aimed at assessing facial emotion recognition. In this study, we explored the association between hypomimia, recognition of facial expressions of basic emotions using the Ekman 60 Faces Test (EF), and brain correlates of both hypomimia and performance on the EF. A total of 94 subjects underwent clinical assessments (neurological and neuropsychological examinations), and 56 of them participated in the neuroimaging study. We found significant correlation between hypomimia, EF Disgust (r = -0.242, p = 0.022) and EF Happiness (r = -0.264, p = 0.012); an independent reduction in Cortical Thickness (Cth) in the postcentral gyrus, insula, middle and superior temporal gyri, supramarginal gyrus, banks of the superior temporal sulcus, bilateral fusiform gyri, entorhinal cortex, parahippocampal gyrus, inferior and superior parietal cortex, and right cuneus and precuneus; and multiple correlations between negative emotions such as EF Disgust or EF Anger and a reduced Cth in fronto-temporo-parietal regions. In conclusion, these results suggest that the association between hypomimia and emotion recognition deficits in individuals with PD might be mediated by shared circuits, supporting the concept that hypomimia is not only the result of the dysfunction of motor circuits, but also of higher cognitive functions.

Structural and metabolic brain correlates of arithmetic word-problem solving in Huntington's disease.

Individuals with pre-manifest and early symptomatic Huntington's disease (HD) have shown deficits in solving arithmetic word-problems. However, the neural correlates of these deficits in HD are poorly understood. We explored the structural (gray-matter volume; GMV) and metabolic (18F-FDG PET; SUVr) brain correlates of arithmetic performance using the recently developed HD-word problem arithmetic task (HD-WPA) in seventeen preHD and sixteen HD individuals. Symptomatic participants showed significantly lower scores in the HD-WPA than preHD participants. Lower performance in the HD-WPA was associated with reduced GMV in subcortical, medial frontal, and several posterior-cortical clusters in HD participants. No significant GMV loss was found in preHD participants. 18F-FDG data revealed a widespread pattern of hypometabolism in association with lower arithmetic performance in all participants. In preHD participants, this pattern was restricted to the ventrolateral and orbital prefrontal cortex, the insula, and the precentral gyrus. In HD participants, the pattern extended to several parietal-temporal regions. Word-problem solving arithmetic deficits in HD is subserved by a pattern of asynchronous metabolic and structural compromise across the cerebral cortex as a function of disease stage. In preHD individuals, arithmetic deficits were associated with prefrontal alterations, whereas in symptomatic HD patients, more severe arithmetic deficits are associated with the compromise of several frontal-subcortical and temporo-parietal regions. Our results support the hypothesis that cognitive deficits in HD are not exclusively dominated by frontal-striatal dysfunctions but also involve fronto-temporal and parieto-occipital damage.

Predicting Impulse Control Disorders in Parkinson Disease through Incentive Biomarkers.

OBJECTIVE: This study was undertaken to evaluate whether the feedback-related negativity (FRN)-a neurophysiological marker of incentive processing-can be used to predict the development of impulse control disorders (ICDs) in Parkinson disease (PD). METHODS: The longitudinal cohort consisted of consecutive nondemented PD patients with no ICD history. We recorded FRN signals while they performed a gambling task. We calculated the mean amplitude difference between losses and gains (FRNdiff) to be used as a predictor of future ICD development. We performed prospective biannual follow-up assessments for 30 months to detect incident ICDs. Finally, we evaluated how basal FRNdiff was associated with posterior development of ICDs using survival models. RESULTS: Between October 7, 2015 and December 16, 2016, we screened 120 patients. Among them, 94 patients performed the gambling and 92 completed the follow-up. Eighteen patients developed ICDs during follow-up, whereas 74 remained free of ICDs. Baseline FRNdiff was greater in patients who developed ICDs than in those who did not (-2.33µV vs -0.84µV, p = 0.001). No other significant baseline differences were found. The FRNdiff was significantly associated with ICD development in the survival models both when not adjusted (hazard ratio [HR] = 0.73, 95% confidence interval [CI] = 0.58-0.91, p = 0.006) and when controlling for dopamine replacement therapy, sex, and age (HR = 0.74, 95% CI = 0.55-0.97, p = 0.035). None of the impulsivity measures evaluated was related to ICD development. INTERPRETATION: Reward-processing differences measured by FRN signals precede ICD development in PD. This neurophysiological marker permits identification of patients with high risk of ICD development. ANN NEUROL 2022;92:974-984.

Divergent cognitive trajectories in early stage Huntington's disease: A 3-year longitudinal study.

BACKGROUND AND PURPOSE: Cognitive impairment is a central feature of Huntington's disease (HD), but it is unclear to what extent more aggressive cognitive phenotypes exist in HD among individuals with the same genetic load and equivalence in other clinical and sociodemographic variables. METHODS: We included Enroll-HD study participants in early and early-mid stages of HD at baseline and with three consecutive yearly follow-ups for whom several clinical and sociodemographic as well as cognitive measures were recorded. We excluded participants with low and large CAG repeat length (CAG < 39 & > 55), with juvenile or late onset HD, and with dementia at baseline. We explored the existence of different groups according to the profile of cognitive progression using a two-step k-means cluster analysis model based on the combination of different cognitive outcomes. RESULTS: We identified a slow cognitive progression group of 293 participants and an aggressive progression group (F-CogHD) of 235 for which there were no differences at the baseline visit in any of the measures explored, with the exception of a slightly higher motor score in the F-CogHD group. This group showed a more pronounced annual loss of functionality and a more marked motor and psychiatric deterioration. CONCLUSIONS: The rate of progression of cognitive deterioration in HD is strongly variable even between patients sharing, among other variables, equivalent CAG repeat length, age, and disease duration. We can recognize at least two phenotypes that differ in terms of rate of progression. Our findings open new avenues to study additional mechanisms contributing to HD heterogeneity.

A Functional Connectivity Study to Investigate the Role of the Right Anterior Insula in Modulating Emotional Dysfunction in Borderline Personality Disorder.

OBJECTIVE: Previous imaging studies in patients with borderline personality disorder (BPD) have detected functional brain dysfunctions. Mindfulness training may improve the symptoms of BPD, although the neural mechanisms involved remain poorly understood. This study had several key aims: a) to investigate the role of right anterior insula (rAI) functional connectivity in modulating baseline emotional status in BPD, b) to compare differences in connectivity changes after mindfulness training versus interpersonal effectiveness intervention, and c) to explore the correlation between longitudinal changes in imaging data and clinical indicators. METHODS: Thirty-eight patients with BPD underwent resting-state functional magnetic resonance imaging. Participants completed self-report clinical scales and participated in a dialectical-behavioral therapy (mindfulness versus interpersonal effectiveness modules). Changes in clinical and imaging variables were evaluated longitudinally after completion of the first 10-week sessions of psychotherapeutic intervention. RESULTS: At baseline, the rAI was strongly connected with the other salience network nodes and anticorrelated with most core nodes of the default mode network (p < .05, corrected). The functional connectivity of the rAI correlated with emotional dysregulation and deficits in mindfulness capacities (p < .05, corrected). After completion of psychotherapeutic intervention, both groups (mindfulness and interpersonal effectiveness) showed divergent posttherapy functional connectivity changes, which were in turn associated with the clinical response. CONCLUSIONS: The functional connectivity of the rAI seems to play an important role in emotion dysregulation and deficits in mindfulness capacities in individuals with BPD. Psychotherapy seems to modulate this functional connectivity, leading to beneficial changes in clinical variables.

The Kappa Opioid Receptor and the Sleep of Reason: Cortico-Subcortical Imbalance Following Salvinorin-A.

BACKGROUND: The mechanisms through which kappa opioid receptor (KOR) agonists induce psychotomimetic effects are largely unknown, although the modulation of this receptor has attracted attention for its clinical use. In this work, we characterize the neuropharmacological effects of salvinorin-A, a highly selective KOR agonist. METHODS: Changes in multimodal electroencephalography, single-photon emission computed tomography, and subjective effects following the acute administration of salvinorin-A are reported. The study included 2 sub-studies that employed a double-blind, crossover, randomized, placebo-controlled design. RESULTS: The electroencephalography measures showed a marked increase in delta and gamma waves and a decrease in alpha waves while subjects were under the effect of salvinorin-A. Regarding single-photon emission computed tomography measures, significant decreases in regional cerebral blood flow were detected in multiple regions of the frontal, temporal, parietal, and occipital cortices. Significant regional cerebral blood flow increases were observed in some regions of the medial temporal lobe, including the amygdala, the hippocampal gyrus, and the cerebellum. The pattern of subjective effects induced by salvinorin-A was similar to those observed in relation to other psychotomimetic drugs but with an evidently dissociative nature. No dysphoric effects were reported. CONCLUSION: The salvinorin-A-mediated KOR agonism induced dramatic psychotomimetic effects along with a generalized decrease in cerebral blood flow and electric activity within the cerebral cortex.

Structure and Dynamics of Large-Scale Cognitive Networks in Huntington's Disease.

BACKGROUND: Huntington's disease is a neurodegenerative disorder characterized by clinical alterations in the motor, behavioral, and cognitive domains. However, the structure and disruptions to large-scale brain cognitive networks have not yet been established. OBJECTIVE: We aimed to profile changes in large-scale cognitive networks in premanifest and symptomatic patients with Huntington's disease. METHODS: We prospectively recruited premanifest and symptomatic Huntington's disease mutation carriers as well as healthy controls. Clinical and sociodemographic data were obtained from all participants, and resting-state functional connectivity data, using both time-averaged and dynamic functional connectivity, was acquired from whole-brain and cognitively oriented brain parcellations. RESULTS: A total of 64 gene mutation carriers and 23 healthy controls were included; 21 patients with Huntington's disease were classified as premanifest and 43 as symptomatic Huntington's disease. Compared with healthy controls, patients with Huntington's disease showed decreased network connectivity within the posterior hubs of the default-mode network and the medial prefrontal cortex, changes that correlated with cognitive (t = 2.25, P = 0.01) and disease burden scores (t = -2.42, P = 0.009). The salience network showed decreased functional connectivity between insular and supramarginal cortices and also correlated with cognitive (t = 2.11, P = 0.02) and disease burden scores (t = -2.35, P = 0.01). Dynamic analyses showed that network variability was decreased for default-central executive networks, a feature already present in premanifest mutation carriers (dynamic factor 8, P = 0.02). CONCLUSIONS: Huntington's disease shows an early and widespread disruption of large-scale cognitive networks. Importantly, these changes are related to cognitive and disease burden scores, and novel dynamic functional analyses uncovered subtler network changes even in the premanifest stages.

Clinical and structural brain correlates of hypomimia in early-stage Parkinson's disease.

BACKGROUND AND PURPOSE: Reduced facial expression of emotions is a very frequent symptom of Parkinson's disease (PD) and has been considered part of the motor features of the disease. However, the neural correlates of hypomimia and the relationship between hypomimia and other non-motor symptoms of PD are poorly understood. METHODS: The clinical and structural brain correlates of hypomimia were studied. For this purpose, cross-sectional data from the COPPADIS study database were used. Age, disease duration, levodopa equivalent daily dose, Unified Parkinson's Disease Rating Scale part III (UPDRS-III), severity of apathy and depression and global cognitive status were collected. At the imaging level, analyses based on gray matter volume and cortical thickness were used. RESULTS: After controlling for multiple confounding variables such as age or disease duration, the severity of hypomimia was shown to be indissociable from the UPDRS-III speech and bradykinesia items and was significantly related to the severity of apathy (ß = 0.595; p < 0.0001). At the level of neural correlates, hypomimia was related to motor regions brodmann area 8 (BA 8) and to multiple fronto-temporo-parietal regions involved in the decoding, recognition and production of facial expression of emotions. CONCLUSION: Reduced facial expressivity in PD is related to the severity of symptoms of apathy and is mediated by the dysfunction of brain systems involved in motor control and in the recognition, integration and expression of emotions. Therefore, hypomimia in PD may be conceptualized not exclusively as a motor symptom but as a consequence of a multidimensional deficit leading to a symptom where motor and non-motor aspects converge.

The impact of dopaminergic treatment over cognitive networks in Parkinson's disease: Stemming the tide?

Dopamine-replacing therapies are an effective treatment for the motor aspects of Parkinson's disease. However, its precise effect over the cognitive resting-state networks is not clear; whether dopaminergic treatment normalizes their functional connectivity-as in other networks- and the links with cognitive decline are presently unknown. We recruited 35 nondemented PD patients and 16 age-matched controls. Clinical and neuropsychological assessments were performed at baseline, and conversion to dementia was assessed in a 10 year follow-up. Structural and functional brain imaging were acquired in both the ON and practical OFF conditions. We assessed functional connectivity in both medication states compared to healthy controls, connectivity differences within participants related to the ON/OFF condition, and baseline connectivity of PD participants that converted to dementia compared to those who did not convert. PD participants showed and increased frontoparietal connectivity compared to controls: a pattern of higher connectivity between salience (SN) and default-mode (DMN) networks both in the ON and OFF states. Within PD patients, this higher SN-DMN connectivity characterized the participants in the ON state, while within-DMN connectivity prevailed in the OFF state. Interestingly, participants who converted to dementia also showed higher SN-DMN connectivity in their baseline ON scans compared to nonconverters. To conclude, PD patients showed higher frontoparietal connectivity in cognitive networks compared to healthy controls, irrespective of medication status, but dopaminergic treatment specifically promoted SN-DM hyperconnectivity.

Depression as a Risk Factor for Impulse Control Disorders in Parkinson Disease.

OBJECTIVE: To longitudinally evaluate the role of depression in the development of impulse control disorders (ICDs) in Parkinson disease (PD) patients. METHODS: Using data from the Parkinson's Progression Markers Initiative, we included PD patients without ICDs at baseline according to the Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease (QUIP). Patients were prospectively evaluated first quarterly and then biannually. Development of an ICD was defined as an increase in QUIP scores during follow-up. Using survival proportional hazard models, we studied the effect of baseline depression on ICD risk. We also evaluated this effect controlling for dopamine agonist use as a time-dependent variable and for other potential confounders. RESULTS: Among 354 patients, 68 were depressed at baseline. The median follow-up was 4.08 years. Depression at baseline was associated with higher ICD risk (hazard ratio [HR] = 1.96, 95% confidence interval [CI] = 1.32-2.9, p < 0.001). This risk remained significant after controlling for dopamine agonist use (HR = 1.97, 95% CI = 1.33-2.9, p < 0.001), which was also independently linked to ICD development (HR = 1.87, 95% CI = 1.3-2.7, p < 0.001). Therefore, depressed patients faced an even higher ICD risk when receiving dopamine agonists. Controlling for multiple potential confounders did not alter these results. INTERPRETATION: Depression predisposes to the development of ICDs in PD. This risk is magnified by dopamine agonists. Dopamine agonists should thus be used cautiously in depressed PD patients. ANN NEUROL 2019;86:762-769.

Preservation of brain metabolism in recently diagnosed Parkinson's impulse control disorders.

BACKGROUND: Impulse control disorders (ICD) are a common and disrupting complication of Parkinson's disease (PD) treatment. Although their relationship with dopaminergic activity is well studied, their brain metabolic correlates are mostly unknown. METHODS: In this work we studied brain metabolism using brain 18F-FDG-PET. We performed a case-control study nested within a cohort of PD patients free of ICD at baseline to compare ICD patients right after ICD diagnosis and prior to any treatment modification with matched ICD-free patients. We also compared both PD groups with healthy controls. RESULTS: When compared with ICD-free PD patients, PD patients with recently diagnosed ICD showed higher glucose metabolism in widespread areas comprising prefrontal cortices, both amygdalae and default mode network hubs (p < 0.05, corrected). When compared to healthy controls, they did not show hypermetabolism, and the only hypometabolic region was the right caudate. In turn, ICD-free patients showed diffuse hypometabolism when compared to healthy controls. CONCLUSION: Our results suggest brain metabolism is more preserved in PD patients with ICD than patients without ICD. This metabolic preservation could be related to ICD development.

CLU rs11136000 promotes early cognitive decline in Parkinson's disease.

BACKGROUND: The C allele of the rs11136000 genetic variant of the clusterin gene has been associated with increased risk of Alzheimer's disease. However, a comprehensive characterization of the role of this genetic variant in early cognitive deterioration in PD is lacking. METHODS: Using the Parkinson's Progression Markers Initiative database, we compared baseline and 5-year cognitive performance between high-risk and low-risk clusterin genotypes. RESULTS: At baseline, recently diagnosed and drug-naive de novo PD patients with the high-risk clusterin genotype showed lower cognitive scores in memory and executive function tests. These differences were even higher at the 5-year follow-up, when they showed a higher prevalence of clinically diagnosed mild cognitive impairment or dementia. They also showed cortical thinning at baseline and increased annual thinning in frontal and posterior cortical regions. DISCUSSION: Our results provide evidence of this clusterin genotype promoting early cognitive deterioration in PD, but further research is needed to delineate the specific neurodegenerative pathways underlying this clinical association. © 2020 International Parkinson and Movement Disorder Society.

Dopaminergic degeneration induces early posterior cortical thinning in Parkinson's disease.

BACKGROUND: Cognitive decline in Parkinson's disease (PD) is a highly prevalent condition with no effective treatment. Cortical atrophy is thought to promote its development but to design optimal therapeutic approaches in this clinical setting we need to understand the physiopathological mechanisms leading to this disorder. OBJECTIVE: To characterize the impact of dopaminergic degeneration on cortical integrity in early PD. METHODS: We studied 87 recently-diagnosed PD patients and 38 healthy controls from the Parkinson's Progression Marker Initiative who underwent I123-ioflupane SPECT (DATSCAN) and T1-MRI imaging. Using Freesurfer 6.0, we characterized baseline and longitudinal (one-year) correlations between striatal DAT uptake and cortical thickness. We also addressed the association between these imaging biomarkers and cognitive measures. RESULTS: Reduced DAT uptake in PD patients was associated with cross-sectional and longitudinal cortical thinning in frontal and posterior-cortical brain regions. Imaging parameters correlated with cognitive indicators in multiple domains that extend beyond frontal-executive tasks. Dopaminergic medication attenuated the longitudinal loss of cortical integrity in frontal and a subset of parietal regions, but not in other key regions such as the precuneus. DISCUSSION: To date, posterior cortical alterations in PD, known to play a major role in the development of PD-dementia, have mainly been attributed to a cholinergic degeneration occurring in later stages of the disease. Our results suggest that dopamine loss also promotes posterior-cortical atrophy from the very early stages of Parkinson's disease, which may have potential clinical and therapeutic implications.

A divergent breakdown of neurocognitive networks in Parkinson's Disease mild cognitive impairment.

Cognitive decline is a major disabling feature in Parkinson's disease (PD). Multimodal imaging studies have shown functional disruption in neurocognitive networks related to cognitive impairment. However, it remains unknown whether these changes are related to gray matter loss, or whether they outline network vulnerability in the early stages of cognitive impairment. In this work, we intended to assess functional connectivity and graph theoretical measures and their relation to gray matter loss in Parkinson's disease with mild cognitive impairment (PD-MCI). We recruited 53 Parkinson's disease patients and classified them for cognitive impairment using Level-1 Movement Disorders Society-Task Force Criteria. Voxel-based morphometry, functional connectivity and graph theoretical measures were obtained on a 3-Tesla MRI scanner. Loss of gray matter was observed in the default mode network (bilateral precuneus), without a corresponding disruption of functional or graph theoretical properties. However, functional and graph theoretical changes appeared in salience network nodes, without evidence of gray matter loss. Global cognition and executive scores showed a correlation with node degree in the right anterior insula. We also found a correlation between visuospatial scores and right supramarginal gyrus node degree. Our findings highlight the loss of functional connectivity and topological features without structural damage in salience network regions in PD-MCI. They also underline the importance of multimodal hubs in the transition to mild cognitive impairment. This functional disruption in the absence of gray matter atrophy suggests that the salience network is a key vulnerable system at the onset of mild cognitive impairment in PD.

Cortical atrophic-hypometabolic dissociation in the transition from premanifest to early-stage Huntington's disease.

PURPOSE: Huntington's disease (HD) is a fatal neurodegenerative disorder with no effective treatment currently available. Although the pathological hallmark of HD is massive striatal atrophy, it has been suggested that cortical deterioration may concomitantly occur and play a major role in the patient's functional independence. Our objective was to characterize cortical structural and metabolic neurodegeneration in the transition from premanifest to early-stage Huntington's disease (HD). METHODS: Using a surface-based neuroimaging approach, we compared cortical thickness and intracortical FDG-PET uptake in 19 early-symptomatic HD patients with respect to 21 premanifest HD individuals. RESULTS: Early-HD patients showed significant cortical atrophy and intracortical hypometabolism when compared to premanifest subjects (p < 0.05, corrected for multiple comparisons). However, whereas the atrophy pattern was restricted to precentral and parieto-occipital regions, a pronounced frontotemporal hypometabolism was observed. Importantly, structural changes correlated with motor and cognitive performance, and metabolic changes were associated with the presence and severity of apathy in this population, a core neuropsychiatric feature of this disorder. CONCLUSION: Our findings reveal an asynchronous neuronal loss and metabolic compromise across the cerebral cortex in early HD. Hence, the use of structural and metabolic imaging indicators to characterize disease progression in this population should take into consideration the dissociation which occurs between cortical atrophy and hypometabolism.

Disruption of the default mode network and its intrinsic functional connectivity underlies minor hallucinations in Parkinson's disease.

BACKGROUND: Minor hallucinations and well-structured hallucinations are considered in the severity continuum of the psychotic spectrum associated with Parkinson's disease. Although their chronological relationship is largely unknown, the spatial patterns of brain atrophy in these 2 forms of hallucinations partially overlap, suggesting they share similar pathophysiological processes. Functional connectivity studies show that disruption of functional networks involved in perception and attention could be relevant in the emergence of well-structured hallucinations. However, functional neuroimaging studies in patients with isolated minor hallucinations are lacking. The objectives of this study were to explore the structural and functional changes underlying minor hallucinations. METHODS: We compared patients with (n = 18) and without (n = 14) minor hallucinations using a multimodal structural (gray-matter volume voxel-based morphometry) and functional (seed-to-whole-brain resting-state functional MRI) neuroimaging study. RESULTS: Coincident with previously described structural changes in well-structured hallucinations in Parkinson's disease, patients with minor hallucinations exhibited gray-matter atrophy with significant voxel-wise differences in visuoperceptual processing areas and core regions of the default mode network. Functional connectivity changes consisted of altered connectivity within the default mode network, reduced negative correlation with task-positive network, and aberrant connectivity between posterior regions of the default mode network and visual-processing areas. These changes are in accordance with the attentional networks hypothesis proposed for well-structured hallucinations. CONCLUSIONS: Although longitudinal studies are needed to assess the potential role of minor hallucinations as an early clinical biomarker of progression to well-structured hallucinations, the present findings show that the 2 phenomena share similar structural and functional brain correlates. © 2018 International Parkinson and Movement Disorder Society.

Structural and metabolic brain correlates of apathy in Huntington's disease.

BACKGROUND: Apathy is the most prevalent and characteristic neuropsychiatric feature of Huntington's disease. Congruent with the main early pathological changes, apathy is primarily associated with subcortical damage in frontal-striatal circuits. However, little is known about its precise subserving mechanisms and the contribution of regions other than the basal ganglia. OBJECTIVES: We aimed to define the neural correlates of apathy in Huntington's disease based on gray matter volume and PET/CT of 18 F-fluorodeoxyglucose metabolism. METHODS: We rated the severity of apathy in 40 mild Huntington's disease participants using the Problem Behaviors Assessment for Huntington's disease. Voxelwise regression analysis was performed, controlling for effects of potential confounders, and PET/CT results were corrected for the effects of gray matter atrophy. RESULTS: Apathy was strongly associated with decreased gray matter within a spatially distributed cortico-subcortical network, with major compromise of the bilateral amygdala and temporal cortex. PET metabolism was significantly decreased in frontotemporal and parietal regions. Metabolic uptake and gray matter values in the identified clusters showed significant correlations with multiple clinical measures. CONCLUSIONS: Our findings indicate that apathy in Huntington's disease is not exclusively a consequence of basal ganglia and related frontal-executive alterations. It is subserved by a complex cortico-subcortical network where critical reward and emotional-related prefrontal, temporal, and limbic nodes contribute strongly to its severity. This highlights the contribution of damage in regions other than the basal ganglia to the clinical expression of Huntington's disease. © 2018 International Parkinson and Movement Disorder Society.

Cortical Thinning Associated with Age and CSF Biomarkers in Early Parkinson's Disease Is Modified by the SNCA rs356181 Polymorphism.

The role of cerebrospinal fluid (CSF) biomarkers such as CSF α-synuclein and CSF tau in predicting cognitive decline in Parkinson's disease (PD) continues to be inconsistent. Here, using a cohort of de novo PD patients with preserved cognition from the Parkinson's Progression Markers Initiative (PPMI), we show that the SNCA rs356181 single nucleotide polymorphism (SNP) modulates the effect of these CSF biomarkers on cortical thinning. Depending on this SNP's genotype, cortical atrophy was associated with either higher or lower CSF biomarker levels. Additionally, this SNP modified age-related atrophy. Importantly, the integrity of the brain regions where this phenomenon was observed correlated with cognitive measures. These results suggest that this genetic variation of the gene encoding the α-synuclein protein, known to be involved in the development of PD, also interferes in its subsequent neurodegeneration. Overall, our findings could shed light on the so far incongruent association of common CSF biomarkers with cognitive decline in PD.

Assessing the Psychedelic "After-Glow" in Ayahuasca Users: Post-Acute Neurometabolic and Functional Connectivity Changes Are Associated with Enhanced Mindfulness Capacities.

Background: Ayahuasca is a plant tea containing the psychedelic 5-HT2A agonist N,N-dimethyltryptamine and harmala monoamine-oxidase inhibitors. Acute administration leads to neurophysiological modifications in brain regions of the default mode network, purportedly through a glutamatergic mechanism. Post-acutely, ayahuasca potentiates mindfulness capacities in volunteers and induces rapid and sustained antidepressant effects in treatment-resistant patients. However, the mechanisms underlying these fast and maintained effects are poorly understood. Here, we investigated in an open-label uncontrolled study in 16 healthy volunteers ayahuasca-induced post-acute neurometabolic and connectivity modifications and their association with mindfulness measures. Methods: Using 1H-magnetic resonance spectroscopy and functional connectivity, we compared baseline and post-acute neurometabolites and seed-to-voxel connectivity in the posterior and anterior cingulate cortex after a single ayahuasca dose. Results: Magnetic resonance spectroscopy showed post-acute reductions in glutamate+glutamine, creatine, and N-acetylaspartate+N-acetylaspartylglutamate in the posterior cingulate cortex. Connectivity was increased between the posterior cingulate cortex and the anterior cingulate cortex, and between the anterior cingulate cortex and limbic structures in the right medial temporal lobe. Glutamate+glutamine reductions correlated with increases in the "nonjudging" subscale of the Five Facets Mindfulness Questionnaire. Increased anterior cingulate cortex-medial temporal lobe connectivity correlated with increased scores on the self-compassion questionnaire. Post-acute neural changes predicted sustained elevations in nonjudging 2 months later. Conclusions: These results support the involvement of glutamate neurotransmission in the effects of psychedelics in humans. They further suggest that neurometabolic changes in the posterior cingulate cortex, a key region within the default mode network, and increased connectivity between the anterior cingulate cortex and medial temporal lobe structures involved in emotion and memory potentially underlie the post-acute psychological effects of ayahuasca.

Cocaine addiction is associated with abnormal prefrontal function, increased striatal connectivity and sensitivity to monetary incentives, and decreased connectivity outside the human reward circuit.

Cocaine addiction has been associated with increased sensitivity of the human reward circuit to drug-related stimuli. However, the capacity of non-drug incentives to engage this network is poorly understood. Here, we characterized the functional sensitivity to monetary incentives and the structural integrity of the human reward circuit in abstinent cocaine-dependent (CD) patients and their matched controls. We assessed the BOLD response to monetary gains and losses in 30 CD patients and 30 healthy controls performing a lottery task in a magnetic resonance imaging scanner. We measured brain gray matter volume (GMV) using voxel-based morphometry and white matter microstructure using voxel-based fractional anisotropy (FA). Functional data showed that, after monetary incentives, CD patients exhibited higher activation in the ventral striatum than controls. Furthermore, we observed an inverted BOLD response pattern in the prefrontal cortex, with activity being highest after unexpected high gains and lowest after losses. Patients showed increased GMV in the caudate and the orbitofrontal cortex, increased white matter FA in the orbito-striatal pathway but decreased FA in antero-posterior association bundles. Abnormal activation in the prefrontal cortex correlated with GMV and FA increases in the orbitofrontal cortex. While functional abnormalities in the ventral striatum were inversely correlated with abstinence duration, structural alterations were not. In conclusion, results suggest abnormal incentive processing in CD patients with high salience for rewards and punishments in subcortical structures but diminished prefrontal control after adverse outcomes. They further suggest that hypertrophy and hyper-connectivity within the reward circuit, to the expense of connectivity outside this network, characterize cocaine addiction.