204 research outputs found
Metastable neural dynamics in Alzheimer's disease are disrupted by lesions to the structural connectome
GABRB1 Single Nucleotide Polymorphism Associated with Altered Brain Responses (but not Performance) during Measures of Impulsivity and Reward Sensitivity in Human Adolescents
Variations in genes encoding several GABAA receptors have been associated with
human drug and alcohol abuse. Among these, a number of human studies have
suggested an association between GABRB1, the gene encoding GABAA receptor β1
subunits, with Alcohol dependence (AD), both on its own and comorbid with
other substance dependence and psychiatric illnesses. In the present study, we
hypothesized that the GABRB1 genetically-associated increased risk for
developing alcoholism may be associated with impaired behavioral control and
altered sensitivity to reward, as a consequence of altered brain function.
Exploiting the IMAGEN database (Schumann et al., 2010), we explored in a human
adolescent population whether possession of the minor (T) variant of the
single nucleotide polymorphism (SNP) rs2044081 is associated with performance
of tasks measuring aspects of impulsivity, and reward sensitivity that are
implicated in drug and alcohol abuse. Allelic variation did not associate with
altered performance in either a stop-signal task (SST), measuring one aspect
of impulsivity, or a monetary incentive delay (MID) task assessing reward
anticipation. However, increased functional magnetic resonance imaging (fMRI)
blood-oxygen-level dependent (BOLD) response in the right hemisphere inferior
frontal gyrus (IFG), left hemisphere caudate/insula and left hemisphere
inferior temporal gyrus (ITG) during MID performance was higher in the minor
(T) allelic group. In contrast, during SST performance, the BOLD response
found in the right hemisphere supramarginal gyrus, right hemisphere lingual
and left hemisphere inferior parietal gyrus indicated reduced responses in the
minor genotype. We suggest that β1-containing GABAA receptors may play a role
in excitability of brain regions important in controlling reward-related
behavior, which may contribute to susceptibility to addictive behavior
Reconstruction of the superior longitudinal fasciculus in a cohort of older healthy adults and those with mild cognitive impairment using CSD-based tractography
Multiple indices of diffusion identifies white matter damage in mild cognitive impairment and Alzheimer's disease
The study of multiple indices of diffusion, including axial (DA), radial (DR) and mean diffusion (MD), as well as fractional anisotropy (FA), enables WM damage in Alzheimer's disease (AD) to be assessed in detail. Here, tract-based spatial statistics (TBSS) were performed on scans of 40 healthy elders, 19 non-amnestic MCI (MCIna) subjects, 14 amnestic MCI (MCIa) subjects and 9 AD patients. Significantly higher DA was found in MCIna subjects compared to healthy elders in the right posterior cingulum/precuneus. Significantly higher DA was also found in MCIa subjects compared to healthy elders in the left prefrontal cortex, particularly in the forceps minor and uncinate fasciculus. In the MCIa versus MCIna comparison, significantly higher DA was found in large areas of the left prefrontal cortex. For AD patients, the overlap of FA and DR changes and the overlap of FA and MD changes were seen in temporal, parietal and frontal lobes, as well as the corpus callosum and fornix. Analysis of differences between the AD versus MCIna, and AD versus MCIa contrasts, highlighted regions that are increasingly compromised in more severe disease stages. Microstructural damage independent of gross tissue loss was widespread in later disease stages. Our findings suggest a scheme where WM damage begins in the core memory network of the temporal lobe, cingulum and prefrontal regions, and spreads beyond these regions in later stages. DA and MD indices were most sensitive at detecting early changes in MCIa
Blunted ventral striatal responses to anticipated rewards foreshadow problematic drug use in novelty-seeking adolescents
Novelty-seeking tendencies in adolescents may promote innovation as well as
problematic impulsive behaviour, including drug abuse. Previous research has
not clarified whether neural hyper- or hypo-responsiveness to anticipated
rewards promotes vulnerability in these individuals. Here we use a
longitudinal design to track 144 novelty-seeking adolescents at age 14 and 16
to determine whether neural activity in response to anticipated rewards
predicts problematic drug use. We find that diminished BOLD activity in
mesolimbic (ventral striatal and midbrain) and prefrontal cortical
(dorsolateral prefrontal cortex) regions during reward anticipation at age 14
predicts problematic drug use at age 16. Lower psychometric conscientiousness
and steeper discounting of future rewards at age 14 also predicts problematic
drug use at age 16, but the neural responses independently predict more
variance than psychometric measures. Together, these findings suggest that
diminished neural responses to anticipated rewards in novelty-seeking
adolescents may increase vulnerability to future problematic drug use
Using Support Vector Machines with Multiple Indices of Diffusion for Automated Classification of Mild Cognitive Impairment
Few studies have looked at the potential of using diffusion tensor imaging (DTI) in conjunction with machine learning algorithms in order to automate the classification of healthy older subjects and subjects with mild cognitive impairment (MCI). Here we apply DTI to 40 healthy older subjects and 33 MCI subjects in order to derive values for multiple indices of diffusion within the white matter voxels of each subject. DTI measures were then used together with support vector machines (SVMs) to classify control and MCI subjects. Greater than 90% sensitivity and specificity was achieved using this method, demonstrating the potential of a joint DTI and SVM pipeline for fast, objective classification of healthy older and MCI subjects. Such tools may be useful for large scale drug trials in Alzheimer's disease where the early identification of subjects with MCI is critical
The empirical replicability of task-based fMRI as a function of sample size
Replicating results (i.e. obtaining consistent results using a new independent dataset) is an essential part of good science. As replicability has consequences for theories derived from empirical studies, it is of utmost importance to better understand the underlying mechanisms influencing it. A popular tool for non-invasive neuroimaging studies is functional magnetic resonance imaging (fMRI). While the effect of underpowered studies is well documented, the empirical assessment of the interplay between sample size and replicability of results for task-based fMRI studies remains limited. In this work, we extend existing work on this assessment in two ways. Firstly, we use a large database of 1400 subjects performing four types of tasks from the IMAGEN project to subsample a series of independent samples of increasing size. Secondly, replicability is evaluated using a multi-dimensional framework consisting of 3 different measures: (un)conditional test-retest reliability, coherence and stability. We demonstrate not only a positive effect of sample size, but also a trade-off between spatial resolution and replicability. When replicability is assessed voxelwise or when observing small areas of activation, a larger sample size than typically used in fMRI is required to replicate results. On the other hand, when focussing on clusters of voxels, we observe a higher replicability. In addition, we observe variability in the size of clusters of activation between experimental paradigms or contrasts of parameter estimates within these
GABRB1 Single Nucleotide Polymorphism Associated with Altered Brain Responses (but not Performance) during Measures of Impulsivity and Reward Sensitivity in Human Adolescents.
Variations in genes encoding several GABAA receptors have been associated with human drug and alcohol abuse. Among these, a number of human studies have suggested an association between GABRB1, the gene encoding GABAA receptor β1 subunits, with Alcohol dependence (AD), both on its own and comorbid with other substance dependence and psychiatric illnesses. In the present study, we hypothesized that the GABRB1 genetically-associated increased risk for developing alcoholism may be associated with impaired behavioral control and altered sensitivity to reward, as a consequence of altered brain function. Exploiting the IMAGEN database (Schumann et al., 2010), we explored in a human adolescent population whether possession of the minor (T) variant of the single nucleotide polymorphism (SNP) rs2044081 is associated with performance of tasks measuring aspects of impulsivity, and reward sensitivity that are implicated in drug and alcohol abuse. Allelic variation did not associate with altered performance in either a stop-signal task (SST), measuring one aspect of impulsivity, or a monetary incentive delay (MID) task assessing reward anticipation. However, increased functional magnetic resonance imaging (fMRI) blood-oxygen-level dependent (BOLD) response in the right hemisphere inferior frontal gyrus (IFG), left hemisphere caudate/insula and left hemisphere inferior temporal gyrus (ITG) during MID performance was higher in the minor (T) allelic group. In contrast, during SST performance, the BOLD response found in the right hemisphere supramarginal gyrus, right hemisphere lingual and left hemisphere inferior parietal gyrus indicated reduced responses in the minor genotype. We suggest that β1-containing GABAA receptors may play a role in excitability of brain regions important in controlling reward-related behavior, which may contribute to susceptibility to addictive behavior
The structure of psychopathology in adolescence and its common personality and cognitive correlates
The traditional view that mental disorders are distinct, categorical disorders has been challenged by evidence that disorders are highly comorbid and exist on a continuum (e.g., Caspi et al., 2014; Tackett et al., 2013). The first objective of this study was to use structural equation modeling to model the structure of psychopathology in an adolescent community-based sample (N = 2,144) including conduct disorder, attention-deficit/hyperactivity disorder (ADHD), oppositional-defiant disorder (ODD), obsessive-compulsive disorder, eating disorders, substance use, anxiety, depression, phobias, and other emotional symptoms, assessed at 16 years. The second objective was to identify common personality and cognitive correlates of psychopathology, assessed at 14 years. Results showed that psychopathology at 16 years fit 2 bifactor models equally well: (a) a bifactor model, reflecting a general psychopathology factor, as well as specific externalizing (representing mainly substance misuse and low ADHD) and internalizing factors; and (b) a bifactor model with a general psychopathology factor and 3 specific externalizing (representing mainly ADHD and ODD), substance use and internalizing factors. The general psychopathology factor was related to high disinhibition/impulsivity, low agreeableness, high neuroticism and hopelessness, high delay-discounting, poor response inhibition and low performance IQ. Substance use was specifically related to high novelty-seeking, sensation-seeking, extraversion, high verbal IQ, and risk-taking. Internalizing psychopathology was specifically related to high neuroticism, hopelessness and anxiety-sensitivity, low novelty-seeking and extraversion, and an attentional bias toward negatively valenced verbal stimuli. Findings reveal several nonspecific or transdiagnostic personality and cognitive factors that may be targeted in new interventions to potentially prevent the development of multiple psychopathologies
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