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Autoimmune encephalitis (AE) can rarely manifest as a predominantly psychiatric syndrome without overt neurological symptoms. This study’s aim was to characterize psychiatric patients with AE; therefore, anonymized data on patients with suspected AE with predominantly or isolated psychiatric syndromes were retrospectively collected. Patients with readily detectable neurological symptoms suggestive of AE (e.g., epileptic seizures) were excluded. Patients were classified as “probable psychiatric AE (pAE),” if well-characterized neuronal IgG autoantibodies were detected or “possible pAE” (e.g., with detection of nonclassical neuronal autoantibodies or compatible cerebrospinal fluid (CSF) changes). Of the 91 patients included, 21 (23%) fulfilled our criteria for probable (autoantibody-defined) pAE and 70 (77%) those for possible pAE. Among patients with probable pAE, 90% had anti-NMDA receptor (NMDA-R) autoantibodies. Overall, most patients suffered from paranoid-hallucinatory syndromes (53%). Patients with probable pAE suffered more often from disorientation (p p = 0.001) than patients with possible pAE. Immunotherapies were performed in 69% of all cases, mostly with high-dose corticosteroids. Altogether, 93% of the patients with probable pAE and 80% of patients with possible pAE reportedly benefited from immunotherapies (p = 0.251). In summary, this explorative, cross-sectional evaluation confirms that autoantibody-associated AE syndromes can predominantly manifest as psychiatric syndromes, especially in anti-NMDA-R encephalitis. However, in three out of four patients, diagnosis of possible pAE was based on nonspecific findings (e.g., slight CSF pleocytosis), and well-characterized neuronal autoantibodies were absent. As such, the spectrum of psychiatric syndromes potentially responding to immunotherapies seems not to be limited to currently known autoantibody-associated AE. Further trials are needed.

To increase the validity of biomarker measures in multiple sclerosis (MS), factors affecting their concentration need to be identified. Here, we test whether the volume of distribution approximated by the patients' estimated blood volume (BV) and body mass index (BMI) affect the serum concentrations of glial fibrillary acidic protein (GFAP). As a control, we also determine the relationship between BV/BMI and GFAP concentrations in CSF. To confirm earlier findings, we test the same hypotheses for neurofilament light chain (NfL).NfL and GFAP concentrations were measured in serum and CSF (sNFL/sGFAP and cNFL/cGFAP) in 157 patients (n = 106 with MS phenotype and n = 51 with other neurologic/somatoform diseases). Using multivariate linear regressions, BV was tested in the MS cohort as a predictor for each of the biomarkers while controlling for age, sex, MS phenotype, Expanded Disability Status Scale score, gadolinium-enhancing lesions, and acute relapse. In addition, overweight/obese patients (BMI ≥25 kg/mIn the MS cohort, BV predicted sGFAP (ß = -0.301,These findings support the notion that the volume of distribution of sGFAP approximated by BV and BMI is a relevant variable and should therefore be controlled for when measuring sGFAP in MS, while this might not be necessary when measuring cGFAP concentrations.

Cognitive performance may be impaired in MS even at the earliest stages of disease. We tested whether brain-derived neurotrophic factor and neurofilament light chain levels in serum and cerebrospinal fluid (CSF) samples (sNfL/cNfL/sBDNF/cBDNF) collected at the time of diagnosis are associated with cognitive performance.We measured sNfL/cNfL/sBDNF/cBDNF using single-molecule array (Simoa) in 47 newly diagnosed patients (32 relapsing-remitting MS/6 primary progressive MS/9 clinically isolated syndrome). Partial correlations between average z-score on neuropsychological tests and sNfL/sBDNF/cNfL/cBDNF were computed after adjusting for covariates. Multivariate analysis of covariance determined the effect of cognitive status on biomarker levels. A composite measure of NfL and BDNF was submitted to similar exploratory analysis.Cognitive performance correlated inversely with cNfL (r=-0.451/q=0.032) and cBDNF (r=-0.406/q=0.034). Impairment in at least two different tests was linked to higher cNfL (p=0.011) and cBDNF (p=0.035) levels compared to impairment in only one test and for cNfL also compared to no impairment at all (p=0.01). Composite CSF biomarker measure accounting for both cNfL and cBDNF correlated more strongly with tests of information processing (p=0.048) and verbal learning/memory consolidation (p = 0.02) as compared to the single CSF biomarkers.CSF BDNF and NfL levels measured at the time of diagnosis are inversely associated with cognitive performance in MS. Our findings suggest that CSF biomarkers linked to different pathophysiological processes reflect neuropsychological impairment in the earliest stages of the disease. Combining different CSF measures might facilitate the developing of a better biomarker of cognition in MS.

Introduction The concurrent presence of both central nervous system (CNS) tumors and multiple sclerosis (MS) poses various diagnostic and therapeutic pitfalls and makes the clinical management of such patients challenging. Methods In this retrospective, single-center cohort study, we searched our clinical databases (2006–2019) for patients with concurrent CNS tumors and MS and described their disease courses. Age at diagnosis of the respective disease and probabilities for MS disease activity events (DAEs) with vs. without prior tumor-specific therapy were tested pairwise using t-test for dependent samples and exact binomial test. Results N = 16 patients with concurrent CNS tumors and MS were identified. MS diagnosis preceded the CNS oncological diagnosis by an average of 9 years (p = 0.004). More DAEs occurred in patients without prior chemotherapy (83.3%) than in patients with prior chemotherapy (16.7%; p = 0.008). This effect did not reach significance for patients with prior radiation therapy/radiosurgery (66.7% vs. 33.3%, p = 0.238). The average interval between DAEs and the last documented lymphopenia was 32.25 weeks. Conclusions This study describes the clinical and demographic features of patients with concurrent CNS tumors and MS and suggests several practical approaches to their clinical management. Our findings suggest that adding a disease-modifying MS therapy to the regimen of patients treated with chemotherapy is necessary only if the patient suffers from a highly active, aggressive course of MS. In view of the lack of prospective trials, individual risk assessments should remain the foundation of the decision on MS treatment in concurrent CNS tumor diseases.

The interaction of central nervous system inflammation and coagulation system activation in multiple sclerosis (MS) receives increasing attention for its diagnostic and therapeutic potential. During blood-brain barrier (BBB) disruption, fibrinogen migrates into the CNS and contributes to inflammation. In the coagulation cascade, fibrinogen is converted into fibrin by thrombin, which itself is cleaved from prothrombin by activated factor XII. We hypothesized that the conversion of prothrombin to thrombin can be quantified by prothrombin fragment 1+2 (PF1.2) in cerebrospinal fluid (CSF). Primary endpoint was the correlation between PF1.2, D-dimer and fibrinogen in CSF of patients with neuroinflammatory diseases. Secondary endpoints were PF1.2 levels depending on presence of contrast enhancement (CE) on MRI, and correlation between PF1.2 with serum-CSF albumin quotient (Qalb). Additionally, an exploratory analysis of CSF PF1.2 levels to distinguish between MS-patients and controls without neurological disease was performed.Patients admitted for a suspected inflammatory CNS disease were prospectively recruited from October 2017 to December 2020. Citrated CSF samples were obtained and analyzed for PF1.2, fibrinogen and D-dimer using a highly sensitive luminescent oxygen channeling immunoassay. Patient clinical data and final diagnoses were retrospectively collected and analyzed.187 patients were included, of whom 116 received diagnoses of relapsing-remitting (RRMS), primary-progressive MS, clinically or radiologically isolated syndrome, or anti-aquaporin-4-/anti-myelin-oligodendrocyte-glycoprotein-antibody-related diseases. CSF analysis of those 116 patients revealed a correlation between PF1.2 and CSF fibrinogen (ρ=.315; p.001) as well as between PF1.2 and CSF D-dimer (ρ=.531; p.001). Among all 187 patients, CSF PF1.2 was increased in patients with CE on MRI (n=71; 147.38 pmol/l; IQR 83.68-215.36) compared to patients without CE (n=86; 100.03 pmol/l; IQR 33.87-162.80; p=.008). CSF PF1.2 correlated significantly with Qalb (ρ=.445; p.001). No differences of CSF PF1.2 levels were observed between RRMS (131.48 pmol/l, IQR 42.75-204.10) and disease controls (102.28 pmol/l; IQR 55.60-159.94; p=.606).In patients with autoimmune inflammatory CNS diseases PF1.2 correlated strongly with fibrinogen and D-dimer in CSF, indicating coagulation system activation. The findings suggest that thrombin generation might require acute BBB dysfunction to exert autoimmune effects in the CNS.

The transition from relapsing-remitting to secondary progressive multiple sclerosis (SPMS) is not well defined. Different definitions and tools to identify SPMS have been proposed. Meanwhile, early diagnosis of "active" SPMS is getting progressively more important as pharmaceutical treatment options are developed. In this study, we compared different classification methods regarding their accuracy to reliably identify "active SPMS."Independent from previous diagnostic classification, we descriptively analyzed the disease course (regarding relapses, progression, and magnetic resonance imaging activity) in 208 consecutive multiple sclerosis (MS) patients treated in our MS outpatient clinic in 2018. Patients were reclassified according to different SPMS criteria and tools. Diagnostic accuracy in identifying patients with "active SPMS" was determined.Comparing the tools to each other, significant variability in the number of patients identified as having SPMS as well as in the proportion of these patients having "active SPMS" was noted. Applying both diagnostic criteria "SPMS" and "active disease" reduced the sensitivity in identifying patients with active progressive disease in all approaches.We propose lessening the emphasis on the label "SPMS" in favor of the more open term "active progressive disease" to simplify the process of identifying patients who may benefit from immune therapy.

Proteins of the coagulation system contribute to autoimmune inflammation in patients with multiple sclerosis (MS). On blood-brain barrier (BBB) disruption, fibrinogen enters the CNS and is rapidly converted to fibrin, unfolding pleiotropic autoimmune mechanisms. Fibrin accumulation leads to subsequent proteolytic degradation that results in D-dimer generation. The primary objective of this study was to determine intrathecal levels of D-dimer in CSF as a measure of intrathecal coagulation cascade activation and to evaluate its diagnostic utility in patients with MS in contrast to healthy subjects. Key secondary objectives included analysis of CSF D-dimer in differential diagnoses of MS and its relation to routine clinical markers of disease activity.Patients admitted for the assessment of suspected MS were prospectively recruited from October 2017 to December 2020. Blood plasma and citrated CSF samples were analyzed using a highly sensitive luminescent oxygen channeling immunoassay. Intrathecal generation of D-dimer was analyzed by adjusting for CSF/serum albumin (QOf 187 patients, 113 patients received a diagnosis of MS or clinically/radiologically isolated syndrome. We found increased intrathecal CSF D-dimer generation levels (QD-dimer in CSF can be reliably determined and correlates with markers of CNS inflammation and CSF fibrinogen levels. Adjusted for BBB dysfunction, CSF D-dimer may allow the identification of intrathecal coagulation cascade activation in patients with MS.This study provides Class I evidence that CSF D-dimer levels are elevated in patients with RRMS.

The asymmetrical structure of the human brain is reflected not only by innate interhemispheric differences but also by lateralization in neurological disease. We tested if unilateral autoimmune optic neuritis (aON) manifests more frequently on the left than the right eye in clinical and neuroimaging terms and whether Google searches for aON symptoms reflect this bias, too. We employed a retrospective analysis of a patient cohort from 2009 to 2019 with 552 unilateral aONs and 374 corresponding MRI imaging data sets. Searchmetrics Suite keywords tool was applied for the analysis of Google searches on aON-symptoms in Germany, the US and the UK for the last 12 months. Left eye aON manifestations were more frequent than right aON manifestations (55.3% vs. 44.7%, p = 0.015) and 1.9 times more likely to be associated with a pathological MRI finding in the affected optic nerve (p = 0.013). Keywords describing aON-typical but not other ocular symptoms were more frequently associated with Google searches for the left in comparison to the right eye (p Autoimmune optic neuritis more frequently affects the left than the right eye and people search on the Internet more often for left-sided aON symptoms. Although a reporting bias due to an increased perception of left eye symptoms is one possible explanation, MRI evidence of more frequent optic nerve affection for the left in comparison to the right side suggests a leftward lateralization bias similar to the one previously shown for cerebral neuroinflammatory lesions.

Background Numerous factors can affect multiple sclerosis (MS) patients' quality of life (QoL). We investigated how physical impairment, upper extremity function, cognitive impairment, cognitive reserve, symptoms of psychological distress, depression, fatigue as well as age and disease duration contribute to patient-reported measures of QoL in relapse-remitting MS (RRMS) and progressive MS (PMS). Methods 39 patients with RRMS and 16 patients with PMS were evaluated for physical impairment (EDSS assessed by a neurologist), upper extremity function (9-hole peg test), cognitive deficits (broad neuropsychological test battery), cognitive reserves (highest obtained degree of education and vocabulary), symptoms of psychological distress (Symptom Checklist-90-R), depression (Beck Depression Inventory) and fatigue (Fatigue Scale for Motor and Cognitive Functions). The effects of these variables on QoL, as measured with the EQ-5D-3L, were tested with a multivariate analysis of variance. Results Degree of education, MS disease type, disease duration, BDI and SCL-90-R-scores affected significantly the EQ-5D index. Post-hoc analysis revealed that patients with university education, RRMS, shorter disease duration as well as less depression and psychological distress symptoms had significantly higher EQ-5D indices. No significant effects were observed for measures of physical disability, cognitive impairment or fatigue. Conclusions Depression and psychological distress symptoms are among the factors with the most essential impact on subjective well-being in MS patients. Since they can be targeted by both psychopharmacological and psychotherapeutic treatment, focusing on mental comorbidity could substantially increase QoL in MS.

Objective: To determine whether the performance of multiple sclerosis (MS) patients in the sound-induced flash illusion (SiFi), a multisensory perceptual illusion, would reflect their cognitive impairment. Methods: We performed the SiFi task as well as an extensive neuropsychological testing in 95 subjects [39 patients with relapse-remitting MS (RRMS), 16 subjects with progressive multiple sclerosis (PMS) and 40 healthy control subjects (HC)]. Results: MS patients reported more frequently the multisensory SiFi than HC. In contrast, there were no group differences in the control conditions. Essentially, patients with progressive type of MS continued to perceive the illusion at stimulus onset asynchronies (SOA) that were more than three times longer than the SOA at which the illusion was already disrupted for healthy controls. Furthermore, MS patients' degree of cognitive impairment measured with a broad neuropsychological battery encompassing tests for memory, attention, executive functions, and fluency was predicted by their performance in the SiFi task for the longest SOA of 500 ms. Conclusions: These findings support the notion that MS patients exhibit an altered multisensory perception in the SiFi task and that their susceptibility to the perceptual illusion is negatively correlated with their neuropsychological test performance. Since MS lesions affect white matter tracts and cortical regions which seem to be involved in the transfer and processing of both crossmodal and cognitive information, this might be one possible explanation for our findings. SiFi might be considered as a brief, non-expensive, language- and education-independent screening test for cognitive deficits in MS patients.

Background Determinants of quality of life (QoL) in demyelinating disorders have been investigated predominantly for multiple sclerosis, especially with regard to “soft clinical signs” such as psychiatric distress. In this exploratory study, we aimed to identify common determinants of QoL for both central and peripheral demyelination in the understudied disease entities of neuromyelitis optica spectrum disorder (NMOSD) and chronic autoimmune demyelinating polyneuropathy (CADP). Methods 20 NMOSD and 16 CADP patients were evaluated for physical disability (EDSS and INCAT ODSS), cognitive dysfunction (neuropsychological test battery), psychiatric distress (SCL-90-R), depression (BDI), fatigue (FSMC) and quality of life (EQ-5D-3 L). A linear regression with QoL as a dependent variable and clinical parameters and demographic covariates as independent variables was computed. Additionally, a multivariate analysis of variance was computed to investigate whether NMOSD and CADP differed with regard to QoL and clinical parameters. Results Physical disability and psychiatric distress affected QoL in both NMOSD and CADP with a stronger effect for psychiatric distress in comparison to physical disability, as indicated by the higher standardized beta coefficient for psychiatric distress (b = -0.540; p = 0.002 vs. b = -0.614; p = 0.028). NMOSD reported higher subjective well-being than CADP patients (F = 6.845, p = 0.015) while having similar physical disability, cognitive dysfunction, psychiatric distress, depression and fatigue and after having accounted for the influence of age, gender, education and disease duration. Conclusions Our findings suggest that physical disability and psychiatric distress above all clinical factors affect QoL in patients with NMOSD and CADP. Addressing adequately this aspect in demyelinating diseases would contribute to a better QoL in these patients. Furthermore, higher subjective well-being scores for NMOSD than CADP might be attributable to the distinct immunomodulatory therapy regimens and course (relapse-driven vs. chronic) of the two diseases.

Ciguatera fish poisoning (CFP) is the most common seafood toxin poisoning worldwide, caused by the consumption of reef fish contaminated with ciguatoxin (CTX).1 The neurotoxin is produced by specific microalgae termed dinoflagellates in shallow (sub-) tropical waters and from there transmitted through the food chain. CFP is characterized by variable gastrointestinal, cardiac, and neurologic symptoms, the latter typically comprising sensory disturbances such as hypoesthesia and paresthesia, cold allodynia, and myalgia. Headache, vertigo, ataxia, impaired consciousness, and cognitive problems are other facultative symptoms. Diagnosis of CFP is usually based on clinical grounds and exclusion. Despite the CNS being a major target of the toxin, only a few studies reported abnormal MRI findings so far.

Addiction is a significant health burden with a major impact on society. Its neural underpinnings have been extensively studied in animal experiments and human neuroimaging studies, which have demonstrated that during addiction various reorganizational processes hijack the reward and habit systems. Thus, subcortical and cortical brain regions become involved in pathological learning and maintenance of incentive values and automatized actions, which consequently contribute to the emergence and persistence of addiction. Reward-related processes that are affected predominantly during early stages of addiction comprise the ventral tegmental area, ventral and dorsomedial striatum, amygdala, hippocampus, orbitofrontal/medial prefrontal cortex, anterior cingulate cortex, and insula. Habit-related mechanisms are under the control of a more complex network including interconnections between the ventral tegmental area, ventral and dorsolateral striatum, parts of the amygdala, and cortical regions such as premotor and motor cortex, parietal and inferior/middle temporal cortex, as well as the cerebellum.

Human neuroimaging studies suggest that neural cue reactivity is strongly associated with indices of drug use, including addiction severity and treatment success. However, little is known about factors that modulate cue reactivity. The goal of this review, in which we survey published fMRI and PET studies on drug cue reactivity in cocaine, alcohol, and tobacco cigarette users, is to highlight major factors that modulate brain reactivity to drug cues. First, we describe cue reactivity paradigms used in neuroimaging research and outline the brain circuits that underlie cue reactivity. We then discuss major factors that have been shown to modulate cue reactivity and review specific evidence as well as outstanding questions related to each factor. Building on previous model-building reviews on the topic, we then outline a simplified model that includes the key modulatory factors and a tentative ranking of their relative impact. We conclude with a discussion of outstanding challenges and future research directions, which can inform future neuroimaging studies as well as the design of treatment and prevention programs.

Behavioral experiments have demonstrated that the sensory modality of presentation modulates drug cue reactivity. The present study on nicotine addiction tested whether neural responses to smoking cues are modulated by the sensory modality of stimulus presentation. We measured brain activation using functional magnetic resonance imaging (fMRI) in 15 smokers and 15 nonsmokers while they viewed images of smoking paraphernalia and control objects and while they touched the same objects without seeing them. Haptically presented, smoking-related stimuli induced more pronounced neural cue reactivity than visual cues in the left dorsal striatum in smokers compared to nonsmokers. The severity of nicotine dependence correlated positively with the preference for haptically explored smoking cues in the left inferior parietal lobule/somatosensory cortex, right fusiform gyrus/inferior temporal cortex/cerebellum, hippocampus/parahippocampal gyrus, posterior cingulate cortex, and supplementary motor area. These observations are in line with the hypothesized role of the dorsal striatum for the expression of drug habits and the well-established concept of drug-related automatized schemata, since haptic perception is more closely linked to the corresponding object-specific action pattern than visual perception. Moreover, our findings demonstrate that with the growing severity of nicotine dependence, brain regions involved in object perception, memory, self-processing, and motor control exhibit an increasing preference for haptic over visual smoking cues. This difference was not found for control stimuli. Considering the sensory modality of the presented cues could serve to develop more reliable fMRI-specific biomarkers, more ecologically valid experimental designs, and more effective cue-exposure therapies of addiction.

Zusammenfassung: Obwohl unser Verständnis der Rolle neurobiologischer und kognitiver Mechanismen für die Entstehung und Aufrechterhaltung von Sucht ständig zunimmt, wird dieses Wissen noch wenig in die ärztliche oder psychotherapeutische Ausbildung und Praxis integriert. Dieser Artikel gibt einen Überblick über diejenigen neuronalen und kognitiven Prozesse, die den verschiedenen Symptomen der Sucht zugrunde liegen. Dazu gehören das Motivations- und Gedächtnissystem sowie automatisiertes Verhalten und exekutive Kontrollfunktionen. Besonders betont wird die Relevanz neurowissenschaftlicher Forschungsergebnisse für ein besseres Verständnis der neurophysiologischen Hintergründe der diagnostischen Kriterien des Abhängigkeitssyndroms.

Neuroimaging studies on cue reactivity have substantially contributed to the understanding of addiction. In the majority of studies drug cues were presented in the visual modality. However, exposure to conditioned cues in real life occurs often simultaneously in more than one sensory modality. Therefore, multisensory cues should elicit cue reactivity more consistently than unisensory stimuli and increase the ecological validity and the reliability of brain activation measurements. This review includes the data from 44 whole-brain functional neuroimaging studies with a total of 1168 subjects (812 patients and 356 controls). Correlations between neural cue reactivity and clinical covariates such as craving have been reported significantly more often for multisensory than unisensory cues in the motor cortex, insula and posterior cingulate cortex. Thus, multisensory drug cues are particularly effective in revealing brain-behavior relationships in neurocircuits of addiction responsible for motivation, craving awareness and self-related processing.

Human neuroplasticity of multisensory integration has been studied mainly in the context of natural or artificial training situations in healthy subjects. However, regular smokers also offer the opportunity to assess the impact of intensive daily multisensory interactions with smoking-related objects on the neural correlates of crossmodal object processing. The present functional magnetic resonance imaging study revealed that smokers show a comparable visuo-haptic integration pattern for both smoking paraphernalia and control objects in the left lateral occipital complex, a region playing a crucial role in crossmodal object recognition. Moreover, the degree of nicotine dependence correlated positively with the magnitude of visuo-haptic integration in the left lateral occipital complex (LOC) for smoking-associated but not for control objects. In contrast, in the left LOC non-smokers displayed a visuo-haptic integration pattern for control objects, but not for smoking paraphernalia. This suggests that prolonged smoking-related multisensory experiences in smokers facilitate the merging of visual and haptic inputs in the lateral occipital complex for the respective stimuli. Studying clinical populations who engage in compulsive activities may represent an ecologically valid approach to investigating the neuroplasticity of multisensory integration.

The processing of visual and haptic inputs, occurring either separately or jointly, is crucial for everyday-life object recognition, and has been a focus of recent neuroimaging research. Previously, visuohaptic convergence has been mostly investigated with matching-task paradigms. However, much less is known about visuohaptic convergence in the absence of additional task demands. We conducted two functional magnetic resonance imaging experiments in which subjects actively touched and/or viewed unfamiliar object stimuli without any additional task demands. In addition, we performed two control experiments with audiovisual and audiohaptic stimulation to examine the specificity of the observed visuohaptic convergence effects. We found robust visuohaptic convergence in bilateral lateral occipital cortex and anterior cerebellum. In contrast, neither the anterior cerebellum nor the lateral occipital cortex showed any involvement in audiovisual or audiohaptic convergence, indicating that multisensory convergence in these regions is specifically geared to visual and haptic inputs. These data suggest that in humans the lateral occipital cortex and the anterior cerebellum play an important role in visuohaptic processing even in the absence of additional task demands.

Research on the psychological and neuronal underpinnings of addiction has concentrated mostly on affective, motivational, learning, and executive processes and the brain regions subserving these functions. In contrast, sensory and motor aspects of addiction have largely been neglected even though they may be highly relevant for the development and preservation of addiction. The aim of the present review is to emphasize the significance of sensory and motor processes for the better understanding and treatment of addiction. We focus on research investigating substance-related addictions and on brain imaging studies in humans that have assessed the contribution of cortical and cerebellar systems to sensory and motor mechanisms of addiction. Activations of sensory and motor brain regions in response to drug-associated cues can predict relapse and correlate with craving, severity of dependence and automatized behavioral reactions towards drug-related stimuli. We propose a model of how sensory and motor processes might be involved in the different stages of addiction.

Visuo-haptic integration contributes essentially to object shape recognition. Although there has been a considerable advance in elucidating the neural underpinnings of multisensory perception, it is still unclear whether seeing an object and exploring it with the dominant hand elicits the same brain response as compared to the non-dominant hand. Using fMRI to measure brain activation in right-handed participants, we found that for both left- and right-hand stimulation the left lateral occipital complex (LOC) and anterior cerebellum (aCER) were involved in visuo-haptic integration of familiar objects. These two brain regions were then further investigated in another study, where unfamiliar, novel objects were presented to a different group of right-handers. Here the left LOC and aCER were more strongly activated by bimodal than unimodal stimuli only when the left but not the right hand was used. A direct comparison indicated that the multisensory gain of the fMRI activation was significantly higher for the left than the right hand. These findings are in line with the principle of "inverse effectiveness", implying that processing of bimodally presented stimuli is particularly enhanced when the unimodal stimuli are weak. This applies also when right-handed subjects see and simultaneously touch unfamiliar objects with their non-dominant left hand. Thus, the fMRI signal in the left LOC and aCER induced by visuo-haptic stimulation is dependent on which hand was employed for haptic exploration.

The car dependence of people living in contemporary cities is a major concern for policy makers, who often find it difficult to persuade people into more sustainable transport modes. By contrast, recent insights from neuroscience have shown that a broad spectrum of behaviors can become habitual and, thus, resistant to change. Here, we outline the potential of collaboration between neuroscience and human geography aiming at a better understanding of habits that determine everyday commuting routines.

The study of Wagner et al. ( J Neurosci 31: 894–898, 2011) reveals the neural correlates of spontaneously activated action representations in smokers when subjects watch movie characters smoke. We stress the importance of differentiating how these representations are activated: while the anterior intraparietal sulcus and inferior frontal gyrus are part of the mirror neuron system of smokers, the middle frontal gyrus, premotor cortex, and superior parietal lobule represent the smoking-related tool use skills and action knowledge activated by smoking paraphernalia.

In addition to reward- and craving-related processes, habitual mechanisms play an important role in addiction. While the dorsal striatum has been proposed to code for the motivational state of habitual drug-seeking actions, the neural underpinnings of the corresponding drug-taking skills and action knowledge remain poorly understood. We used functional magnetic resonance imaging (fMRI) and a behavioral orientation affordance paradigm to investigate the neural and behavioral correlates of automatized drug-taking actions in nicotine dependence. Smokers exhibited higher fMRI activations than nonsmokers when viewing smoking-related but not when viewing control images. These group differences in fMRI activations were located not only in brain regions associated with craving and habitual learning (left ventral and dorsal striatum, dorsolateral prefrontal cortex, insula, uncus, medial frontal gyrus, right subcallosal gyrus, and bilateral parahippocampal gyrus), but also in a network of brain regions which has been strongly implicated in the encoding of action knowledge and tool use skills (bilateral premotor cortex, left superior parietal lobule, and right lateral cerebellum). A behavioral affordance reaction-time task indicated that smokers, but not nonsmokers, showed an automatized responsiveness to smoking paraphernalia similar to everyday objects. Moreover, smokers showed strong intercorrelations between fMRI activations in tool use-related brain regions, behavioral responsiveness to smoking-related cues, and severity of nicotine dependence. Apparently smoking-related action representations in smokers are stored in brain regions typically representing tool use skills and action knowledge. Most importantly, cortical and behavioral correlates of the respective drug-taking skills vary with the individual degree of nicotine dependence.