Striatal connectivity in pre-manifest Huntington's disease is differentially affected by disease burden.

BACKGROUND AND PURPOSE: Different amounts of cumulative exposure to the toxic mutant form of the huntingtin protein might underlie the distinctive pattern of striatal connectivity in pre-manifest Huntington's disease (pre-HD). The aim of this study was to investigate disease-burden-dependent cortical-striatal and subcortical-striatal loops at different pre-HD stages. METHODS: A total of 16 participants with pre-HD and 25 controls underwent magnetic resonance imaging to investigate striatal structural and functional connectivity (FC). Individuals with pre-HD were stratified into far-from-onset and close-to-onset disease groups according to the disease-burden score. Cortical-striatal and subcortical-striatal FC was investigated through seed-region of interest (ROI) and ROI-to-ROI approaches, respectively. The integrity of white-matter pathways originating from striatal seeds was investigated through probabilistic tractography. RESULTS: In far-from-onset pre-HD, the left caudate nucleus showed cortical increased FC in brain regions overlapping with the default mode network and increased coupling connectivity with the bilateral thalamus. By contrast, close-to-onset individuals showed increased fractional anisotropy (and mean diffusivity) in the right caudate nucleus and widespread striatal atrophy. Finally, we reported an association between cortical-caudate FC and caudate structural connectivity, although this did not survive multiple comparison correction. CONCLUSIONS: Functional reorganization of the caudate nucleus might underlie plasticity compensatory mechanisms that recede as individuals with pre-HD approach clinical symptom onset and neurodegeneration.

Abnormal resting-state connectivity of motor and cognitive networks in early manifest Huntington's disease.

BACKGROUND: Functional magnetic resonance imaging (fMRI) of multiple neural networks during the brain's 'resting state' could facilitate biomarker development in patients with Huntington's disease (HD) and may provide new insights into the relationship between neural dysfunction and clinical symptoms. To date, however, very few studies have examined the functional integrity of multiple resting state networks (RSNs) in manifest HD, and even less is known about whether concomitant brain atrophy affects neural activity in patients. METHOD: Using MRI, we investigated brain structure and RSN function in patients with early HD (n = 20) and healthy controls (n = 20). For resting-state fMRI data a group-independent component analysis identified spatiotemporally distinct patterns of motor and prefrontal RSNs of interest. We used voxel-based morphometry to assess regional brain atrophy, and 'biological parametric mapping' analyses to investigate the impact of atrophy on neural activity. RESULTS: Compared with controls, patients showed connectivity changes within distinct neural systems including lateral prefrontal, supplementary motor, thalamic, cingulate, temporal and parietal regions. In patients, supplementary motor area and cingulate cortex connectivity indices were associated with measures of motor function, whereas lateral prefrontal connectivity was associated with cognition. CONCLUSIONS: This study provides evidence for aberrant connectivity of RSNs associated with motor function and cognition in early manifest HD when controlling for brain atrophy. This suggests clinically relevant changes of RSN activity in the presence of HD-associated cortical and subcortical structural abnormalities.

Revisiting default mode network function in major depression: evidence for disrupted subsystem connectivity.

BACKGROUND: Major depressive disorder (MDD) is characterized by alterations in brain function that are identifiable also during the brain's 'resting state'. One functional network that is disrupted in this disorder is the default mode network (DMN), a set of large-scale connected brain regions that oscillate with low-frequency fluctuations and are more active during rest relative to a goal-directed task. Recent studies support the idea that the DMN is not a unitary system, but rather is composed of smaller and distinct functional subsystems that interact with each other. The functional relevance of these subsystems in depression, however, is unclear. METHOD: Here, we investigated the functional connectivity of distinct DMN subsystems and their interplay in depression using resting-state functional magnetic resonance imaging. RESULTS: We show that patients with MDD exhibit increased within-network connectivity in posterior, ventral and core DMN subsystems along with reduced interplay from the anterior to the ventral DMN subsystems. CONCLUSIONS: These data suggest that MDD is characterized by alterations of subsystems within the DMN as well as of their interactions. Our findings highlight a critical role of DMN circuitry in the pathophysiology of MDD, thus suggesting these subsystems as potential therapeutic targets.

Hepatic PPARs: their role in liver physiology, fibrosis and treatment.

Complex molecular and cellular mechanisms are involved in the pathway of liver fibrosis. Activation and transformation of hepatic stellate cells (HSCs) are considered the two main reasons for the cause and development of liver fibrosis. The peroxisome proliferator-activated receptors (PPARs) belonging to the family of ligand-activated transcription factors play a key role in liver homeostasis, regulating adipogenesis and inhibiting fibrogenesis in HSCs. Normal transcriptional function of PPARs contributes to maintain HSCs in quiescent phase. A reduced expression of PPARs in HSCs greatly induces a progression of liver fibrosis and an increased production of collagen. Here, we discuss role and function of PPARs and we take into consideration molecular factors able to reduce PPARs activity in HSCs. Finally, although further validations are needed, we illustrate novel strategies available from in vitro and animal studies on how some PPARs-agonists have been proved effective as antifibrotic substances in liver disease.

CAG repeat length in androgen receptor gene is not associated with amyotrophic lateral sclerosis.

BACKGROUND: Epidemiological and clinical studies show higher prevalence of amyotrophic lateral sclerosis (ALS) in males than in females and more severe lesions in androgen receptor (AR)-expressing tissues. The AR gene contains a polymorphic CAG trinucleotide repeat, whose expansion over a certain threshold is toxic to motor neurons, causing spinal and bulbar muscular atrophy (SBMA). PURPOSE AND METHODS: We tested the hypothesis that the AR CAG repeat linked to SBMA is a risk factor for ALS. We analyzed AR CAG expansions in 336 patients with ALS and 100 controls. RESULTS: We found a negative association of AR CAG expansions with ALS susceptibility, clinical presentation, and survival. CONCLUSIONS: Our findings do not support a role of the AR CAG repeat length in ALS.

Functional imaging as a tool to investigate the relationship between genetic variation and response to treatment with antipsychotics.

Recent evidence suggests that genetic variation is associated with individual variability in response to treatment with antipsychotics. Although numerous studies have been performed for identification of potential genetic variants affecting response to treatment, initial enthusiasm has been tempered by inconsistent results. Along with some specific methodological issues, another plausible explanation for such inconsistencies is lack of sensitivity of the phenotype (clinical measures) used to define response. In this paper, we review use of Imaging Genetics, a relatively new approach that combines genetic assessment with functional neuroimaging, to explore in vivo neurobiological effects of genetic variation. Moreover, we propose to use Imaging Genetics as a tool to evaluate and predict response to treatment with antipsychotics based on the individual genetic makeup.

Aberrant functional connectivity of dorsolateral prefrontal and cingulate networks in patients with major depression during working memory processing.

BACKGROUND: In patients with major depressive disorder (MDD), functional neuroimaging studies have reported an increased activation of the dorsolateral prefrontal cortex (DLPFC) during executive performance and working memory (WM) processing, and also an increased activation of the anterior cingulate cortex (ACC) during baseline conditions. However, the functional coupling of these cortical networks during WM processing is less clear. METHOD: In this study, we used a verbal WM paradigm, event-related functional magnetic resonance imaging (fMRI) and multivariate statistical techniques to explore patterns of functional coupling of temporally dissociable dorsolateral prefrontal and cingulate networks. By means of independent component analyses (ICAs), two components of interest were identified that showed either a positive or a negative temporal correlation with the delay period of the cognitive activation task in both healthy controls and MDD patients. RESULTS: In a prefronto-parietal network, a decreased functional connectivity pattern was identified in depressed patients comprising inferior parietal, superior prefrontal and frontopolar regions. Within this cortical network, MDD patients additionally revealed a pattern of increased functional connectivity in the left DLPFC and the cerebellum compared to healthy controls. In a second, temporally anti-correlated network, healthy controls exhibited higher connectivity in the ACC, the ventrolateral and the superior prefrontal cortex compared to MDD patients. CONCLUSIONS: These results complement and expand previous functional neuroimaging findings by demonstrating a dysconnectivity of dissociable prefrontal and cingulate regions in MDD patients. A disturbance of these dynamic networks is characterized by a simultaneously increased connectivity of the DLPFC during task-induced activation and increased connectivity of the ACC during task-induced deactivation.

Altered frontostriatal coupling in pre-manifest Huntington's disease: effects of increasing cognitive load.

BACKGROUND AND PURPOSE: Functional neuroimaging studies have suggested a dysfunction of prefrontal regions in clinically pre-symptomatic individuals with the Huntington's disease (HD) gene mutation (pre-HD) during cognitive processing. The objective of this study was to test the impact of cognitive demand on prefrontal connectivity in pre-HD individuals. METHODS: Sixteen healthy controls and sixteen pre-HD subjects were studied using functional MRI and a verbal working memory task with increasing cognitive load. Load-dependent functional connectivity of the left dorsolateral prefrontal cortex (DLPFC) was investigated by means of psychophysiological interactions. RESULTS: In pre-HD subjects, aberrant functional connectivity of the left DLPFC was found at high working memory load levels only. Compared with healthy controls, pre-HD individuals exhibited lower connectivity strength in the left putamen, the right anterior cingulate and the left medial prefrontal cortex. Pre-HD individuals close to the onset of motor symptoms additionally exhibited lower connectivity strength in the right putamen and the left superior frontal cortex. The connectivity strength in the left putamen was associated with several clinical measures including CAG repeat length, Unified Huntington's Disease Rating Scale motor score and predicted years to manifest symptom onset. CONCLUSION: These findings suggest that early prefrontal connectivity abnormalities in pre-HD individuals are modulated by cognitive demand.