Exploring manual asymmetries during grasping: a dynamic causal modeling approach

Recording of neural activity during grasping actions in macaques showed that grasp-related sensorimotor transformations are accomplished in a circuit constituted by the anterior part of the intraparietal sulcus (AIP), the ventral (F5) and the dorsal (F2) region of the premotor area. In humans, neuroimaging studies have revealed the existence of a similar circuit, involving the putative homolog of macaque areas AIP, F5 and F2. These studies have mainly considered grasping movements performed with the right dominant hand and only a few studies have measured brain activity associated with a movement performed with the left non-dominant hand. As a consequence of this gap, how the brain controls for grasping movement performed with the dominant and the non-dominant hand still represents an open question. A functional resonance imaging experiment (fMRI) has been conducted, and effective connectivity (Dynamic Causal Modelling, DCM) was used to assess how connectivity among grasping-related areas is modulated by hand (i.e., left and right) during the execution of grasping movements towards a small object requiring precision grasping. Results underlined boosted inter-hemispheric couplings between dorsal premotor cortices during the execution of movements performed with the left rather than the right dominant hand. More specifically, they suggest that the dorsal premotor cortices may play a fundamental role in monitoring the configuration of fingers when grasping movements are performed by either the right and the left hand. This role becomes particularly evident when the hand less-skilled (i.e., the left hand) to perform such action is utilized. The results are discussed in light of recent theories put forward to explain how parieto-frontal connectivity is modulated by the execution of prehensile movements

Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration.

Understanding brain reserve in preclinical stages of neurodegenerative disorders allows determination of which brain regions contribute to normal functioning despite accelerated neuronal loss. Besides the recruitment of additional regions, a reorganisation and shift of relevance between normally engaged regions are a suggested key mechanism. Thus, network analysis methods seem critical for investigation of changes in directed causal interactions between such candidate brain regions. To identify core compensatory regions, fifteen preclinical patients carrying the genetic mutation leading to Huntington's disease and twelve controls underwent fMRI scanning. They accomplished an auditory paced finger sequence tapping task, which challenged cognitive as well as executive aspects of motor functioning by varying speed and complexity of movements. To investigate causal interactions among brain regions a single Dynamic Causal Model (DCM) was constructed and fitted to the data from each subject. The DCM parameters were analysed using statistical methods to assess group differences in connectivity, and the relationship between connectivity patterns and predicted years to clinical onset was assessed in gene carriers. In preclinical patients, we found indications for neural reserve mechanisms predominantly driven by bilateral dorsal premotor cortex, which increasingly activated superior parietal cortices the closer individuals were to estimated clinical onset. This compensatory mechanism was restricted to complex movements characterised by high cognitive demand. Additionally, we identified task-induced connectivity changes in both groups of subjects towards pre- and caudal supplementary motor areas, which were linked to either faster or more complex task conditions. Interestingly, coupling of dorsal premotor cortex and supplementary motor area was more negative in controls compared to gene mutation carriers. Furthermore, changes in the connectivity pattern of gene carriers allowed prediction of the years to estimated disease onset in individuals. Our study characterises the connectivity pattern of core cortical regions maintaining motor function in relation to varying task demand. We identified connections of bilateral dorsal premotor cortex as critical for compensation as well as task-dependent recruitment of pre- and caudal supplementary motor area. The latter finding nicely mirrors a previously published general linear model-based analysis of the same data. Such knowledge about disease specific inter-regional effective connectivity may help identify foci for interventions based on transcranial magnetic stimulation designed to stimulate functioning and also to predict their impact on other regions in motor-associated networks

Transcranial magnetic stimulation combined with functional magnetic resonance imaging: From target identification to prediction of therapeutic effects in stroke patients

Repetitive transcranial magnetic stimulation (rTMS), particularly theta-burst stimulation (TBS), can be applied to modulate cortical excitability beyond the period of stimulation (Huang et al., 2005). Consequently, rTMS is regarded to have high therapeutic potential for treatment of various psychiatric and neurological diseases related to cortical hypo- or hyperexcitability such as stroke (Ridding & Rothwell, 2007). Whether rTMS induced effects are sufficiently robust to be useful in clinical settings is currently under intense investigation. The most challenging problem appears to be considerably high variability in rTMS induced effects both, across studies (Hoogendam et al., 2010) and individual patients (Ameli et al., 2009). Hence, the major goal of the present thesis was to improve rTMS intervention strategies in stroke patients suffering from chronic motor hand deficits by multimodal uses of (repetitive) TMS with state-of-the-art neuroimaging techniques. Sources of variance across studies are likely to be methodological in origin. They might result from different strategies to identify the cortical rTMS target position. Individual functional magnetic resonance (fMRI) data have been demonstrated to yield best spatial approximations of the most excitable TMS position compared to other techniques (Sparing et al., 2008). However, there is still a considerably large spatial mismatch between the cortical position showing highest movement-related fMRI signal and the cortical position yielding highest muscle responses when stimulated with TMS of up to 14 mm (Bastings et al., 1998; Boroojerdi et al., 1999; Herwig et al., 2002; Krings et al., 1997; Lotze et al., 2003; Sparing et al., 2008; Terao et al., 1998). The underlying cause of this spatial mismatch is unknown. Hence, the aim of the first study (Study I) of the present thesis was to test the hypothesis that the spatial mismatch between positions with highest fMRI signal change and positions with highest TMS excitability might be caused by the widely-used Gradient-Echo blood oxygenation level dependent (GRE-BOLD) fMRI technique. GRE-BOLD signal has been demonstrated to occur further downstream from the site of neural activity in large veins running on the cerebral surface (Uludag et al., 2009). Consequently, we tested the hypothesis that alternative fMRI sequences may localize neural activity (i) closer to the anatomical motor hand area, i.e. Brodmann Area 4 (BA4), and (ii) closer to the optimal TMS position than GRE-BOLD. The following alternative fMRI techniques were tested: (i) Spin-Echo (SE-BOLD) assessing blood oxygenation level dependent signal changes with decreased sensitivity for the macrovasculature at high magnetic fields (≥ 3 Tesla, Uludag et al., 2009) and (ii) arterial spin labelling (ASL), assessing local changes in cerebral blood flow (ASL-CBF) which have been shown to occur in close proximity to synaptic activity (Duong et al., 2000). GRE-BOLD, SE-BOLD, and ASL-CBF signal changes during right thumb abductions were obtained from 15 healthy young subjects at 3 Tesla. In 12 subjects, brain tissue at fMRI peak voxel coordinates was stimulated with neuronavigated TMS to investigate whether spatial differences between fMRI techniques are functionally relevant, i.e. impact on motor-evoked potentials (MEPs) recorded from a contralateral target muscle, which is involved in thumb abductions. A systematic TMS motor mapping was performed to identify the most excitable TMS position (i.e. the TMS hotspot) and the centre-of-gravity (i.e. the TMS CoG), which considers the spatial distribution of excitability in the pericentral region. Euclidean distances between TMS and fMRI positions were calculated for each fMRI technique. Results indicated that highest SE-BOLD and ASL-CBF signal changes occurred in the anterior wall of the central sulcus (BA4), whereas highest GRE-BOLD signal changes occurred significantly closer to the gyral surface where most large draining veins are located. fMRI techniques were not significantly different from each other in Euclidean distances to optimal TMS positions since optimal TMS positions were located considerably more anterior (and slightly surprisingly in premotor cortex (BA6) and not BA4). Stimulation of brain tissue at GRE-BOLD peak voxel coordinates with TMS resulted in significantly higher MEPs (compared to SE-BOLD and ASL-CBF coordinates). This was probably the case because GRE-BOLD positions tended to be located at the gyral crown, which was slightly (but not significantly) closer to the TMS hotspot position. Taken together, findings of Study I suggest that spatial differences between fMRI and TMS positions are not caused by spatial unspecificity of the widely-used GRE-BOLD fMRI technique. Hnece, other factors such as complex interactions between brain tissue and the TMS induced electric field (Opitz et al., 2011), could be the underlying cause. Identification of the cortical rTMS target position is particularly challenging in stroke patients since reorganization processes after stroke may shift both, fMRI and TMS positions in unknown direction and extend (Rossini et al., 1998). In the second study (Study II) of the present thesis, we therefore tested whether findings obtained from healthy young subjects in Study I do also apply to chronic stroke patients and older (i.e. age-matched) healthy control subjects. In this study, arterial spin labelling (ASL) was used to assess CBF and BOLD signal changes simultaneously during thumb abductions with the affected/non-dominant and the unaffected/dominant hand in 15 chronic stroke patients and 13 age-matched healthy control subjects at 3 Tesla. Brain tissue at fMRI peak voxel coordinates was stimulated with neuronavigated TMS to test whether spatial differences are functionally relevant and impact on MEPs. Systematic TMS motor mappings were performed for both hemispheres in overall 12 subjects (6 stroke patients and 6 healthy subjects). Euclidean distances between fMRI and TMS positions were calculated for each hemisphere and fMRI technique. In line with results of Study I, highest ASL-CBF signal changes were located in the anterior wall of the central sulcus (BA4), whereas highest ASL-BOLD signal changes occurred significantly closer to the gyral surface. In contrast to Study I, there were no significant differences between ASL-CBF and ASL-BOLD positions in MEPs when stimulated with neuronavigated TMS, which suggests that spatial differences (in depth) were not functionally relevant for TMS applications. In line with Study I, there were no significant differences between fMRI techniques in Euclidean distances to optimal TMS positions, since optimal TMS positions were located considerably more anterior than fMRI positions (in premotor cortex, i.e. BA6). Stroke patients showed overall larger displacements (between fMRI and TMS positions) on the ipsilesional (but not the contralesional) hemisphere compared to healthy subjects. However, none of the fMRI techniques yielded positions significantly closer to the optimal TMS position. Hence, functional reorganization may impact on spatial congruence between fMRI and TMS, but the effect is similar for ASL-CBF and ASL-BOLD. Pathomechanisms underlying stroke induced motor deficits are still poorly understood but a simplified model of hemispheric competition has been suggested, which proposes relative hypoexcitability of the ipsilesional hemisphere and hyperexcitability of the contralesional hemisphere leading to pathologically increased interhemispheric inhibition from the contralesional onto the ipsilesional hemisphere during movements of the paretic hand (Duque et al., 2005; Grefkes et al., 2008b, 2010; Murase et al., 2004). In line with the model of hemispheric competition, both increasing excitability of the ipsilesional hemisphere (Khedr et al., 2005; Talelli et al., 2007) as well as decreasing excitability of the contralesional hemisphere (Fregni et al., 2006; Di Lazzaro et al., 2008a) have been demonstrated to normalize cortical excitability towards physiological levels and/or ameliorate motor performance of the stroke affected hand. However, there is considerably high inter-individual variance and some patients may even show deteriorations of motor performance after rTMS (Ameli et al., 2009). Therefore, the aim of the third study (Study III) was to identify reliable predictors for TBS effects on motor performance of the affected hand in stroke patients, which appears essential for successful implementation of TBS in neurorehabilitation. Overall, 13 chronic stroke patients with unilateral motor hand deficit and 12 age-matched healthy control subjects were included in the study. All patients received 3 different TBS interventions on 3 different days: (i) intermittent TBS (iTBS, facilitatory) over the primary motor cortex (M1) of the ipsilesional hemisphere, (ii) continuous TBS (cTBS, inhibitory) over M1 of the contralesional hemisphere, and (iii) either iTBS or cTBS over a control stimulation site (to control for placebo effects). Motor performance was measured before and after each TBS session with 3 different motor tasks and an overall motor improvement score was calculated. All subjects participated in an fMRI experiment, in which they performed rhythmic fist closures with their affected/non-dominant and unaffected/dominant hand. A laterality index (LI), reflecting laterality of fMRI signal in cortical motor areas was calculated. Effective connectivity, i.e. the direct or indirect causal influence that activity in one area exerts on activity of another area (Friston et al., 1993a), was inferred from fMRI data by means of dynamic causal modelling (DCM). Due to relatively high inter-individual variance, neither iTBS nor cTBS was significantly different from control TBS in terms of average behavioural (or electrophysiological) changes over the group of patients. However, beneficial effects of iTBS over the ipsilesional hemisphere were predicted by a unilateral fMRI activation pattern during movements of the affected hand and by the integrity of the cortical motor network. The more pronounced the promoting influence from the ipsilesional supplementary motor area (SMA) onto ipsilesional M1 and the more pronounced the inhibitory effect originating from ipsilesional M1 onto contralesional M1, the better was the behavioural response to facilitatory iTBS applied to the ipsilesional hemisphere. No significant correlations were found for behavioural improvements following cTBS or behavioural changes of the unaffected hand. Taken together, Study III yielded promising results indicating that laterality of fMRI signal and integrity of the motor network architecture constitute promising predictors for response to iTBS. In patients in whom the connectivity pattern of the ipsilesional motor network resembled physiological network connectivity patterns (i.e. preserved inhibition of the contralesional hemisphere and supportive role of the SMA of the ipsilesional hemisphere), beneficial effects of iTBS over the ipsilesional hemisphere could be observed. In contrast, patients with severely disturbed motor networks did not respond to iTBS or even deteriorated

Neural activation and functional connectivity during motor imagery of bimanual everyday actions

© 2012 Szameitat et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Bimanual actions impose intermanual coordination demands not present during unimanual actions. We investigated the functional neuroanatomical correlates of these coordination demands in motor imagery (MI) of everyday actions using functional magnetic resonance imaging (fMRI). For this, 17 participants imagined unimanual actions with the left and right hand as well as bimanual actions while undergoing fMRI. A univariate fMRI analysis showed no reliable cortical activations specific to bimanual MI, indicating that intermanual coordination demands in MI are not associated with increased neural processing. A functional connectivity analysis based on psychophysiological interactions (PPI), however, revealed marked increases in connectivity between parietal and premotor areas within and between hemispheres. We conclude that in MI of everyday actions intermanual coordination demands are primarily met by changes in connectivity between areas and only moderately, if at all, by changes in the amount of neural activity. These results are the first characterization of the neuroanatomical correlates of bimanual coordination demands in MI. Our findings support the assumed equivalence of overt and imagined actions and highlight the differences between uni- and bimanual actions. The findings extent our understanding of the motor system and may aid the development of clinical neurorehabilitation approaches based on mental practice.This study was funded by the Medical Research Council, UK (CEG 61501; Dr Sterr)

Systems Biology Determinants of Motor Behavior in Humans

Motor skills are mediated by a dynamic and finely regulated interplay of the primary motor cortex (M1) with various cortical and subcortical regions engaged in movement preparation and execution. Several neuroimaging studies already demonstrated that increasing motor performance in simple motor tasks is associated with higher activation levels in the motor system. Additional to the extrinsic modulation of motor performance, neural activity is also influenced by intrinsic factors such as handedness. Handedness – defined as the preference to use one hand over the other – is associated with differences in activation levels in various motor tasks performed with the dominant or non-dominant hand. However, motor actions are implemented in a distributed network of motor regions rather than a single cortical area. For that reason, it is important to consider the neural processes underlying motor behavior from a network perspective that is offered by connectivity analyses. Models of effective connectivity allow the estimation of the influence that areas exert over each other while functional connectivity is defined as temporal coherence between remote, segregated neurophysiological events. The present thesis aimed to investigate how the dynamic modulation of motor performance and connectivity is mediated by extrinsic and intrinsic factors in the human motor system. In the first study, we used functional magnetic resonance imaging (fMRI) and dynamic causal modeling (DCM) to investigate effective connectivity of key motor areas at different movement frequencies performed by right-handed subjects (n=36) with the left or right hand. The network of interest consisted of motor regions in both hemispheres including M1, supplementary motor area (SMA), ventral premotor cortex (PMv), motor putamen, and motor cerebellum. The connectivity analysis showed that performing hand movements at higher frequencies was associated with a linear increase in neural coupling strength from premotor areas (SMA, PMv) contralateral to the moving hand and ipsilateral cerebellum towards contralateral, active M1. In addition, we found hemispheric differences in the amount by which the coupling of premotor areas and M1 was modulated, depending on which hand was moved. Other connections were not modulated by changes in motor performance. The results suggest that a stronger coupling, especially between contralateral premotor areas and M1, enables increased motor performance of simple unilateral hand movements. In the second study, we used fMRI and DCM to investigate effective connectivity between key motor areas during fist closures of the dominant or non-dominant hand performed by 18 right- and 18 left-handers. Handedness was assessed employing the Edinburgh-Handedness-Inventory (EHI). The network of interest consisted of key motor regions in both hemispheres including M1, SMA, PMv, motor putamen and motor cerebellum. The connectivity analysis revealed that in right-handed subjects movements of the dominant hand were associated with significantly stronger coupling of contralateral (left, i.e., dominant) SMA with ipsilateral SMA, ipsilateral PMv, contralateral motor putamen and contralateral M1 compared to equivalent connections in left-handers. The degree of handedness as indexed by the individual EHI scores also correlated with coupling parameters of these connections. In contrast, we found no differences between right- and left-handers when testing for the effect of movement speed on effective connectivity. In conclusion, the data show that handedness is associated with differences in effective connectivity within the human motor network with a prominent role of SMA in right-handers. Left-handers featured less asymmetry in effective connectivity implying different hemispheric mechanisms underlying hand motor control compared to right-handers. However, differences in task performance are inherent putative confounds for all task based fMRI studies. For example, performing a standard motor task might be less demanding when using the dominant hand compared to the non-dominant hand, which may also affect neural activation levels, e.g., in frontoparietal areas. Thus, resting-state fMRI seems an attractive approach to overcome these putative confounds as it allows investigating networks independent from performance. In the third study, we, therefore, scanned 18 right- and 18 left-handers with resting-state fMRI. Handedness was assessed by the EHI. We computed whole-brain functional connectivity maps of the left and right M1. To test for the effect of handedness, we computed differential contrasts and regression analyses including EHI as a covariate. We further used a multivariate linear support vector machine (SVM) classifier algorithm to reveal the individual specificity of brain regions showing differences between the resting-state maps of right- and left-handers. Using left M1 as a seed region revealed stronger interhemispheric functional connectivity between M1 and dorsolateral premotor cortex (PMd) in right-handers as compared to left-handers. Furthermore, this individual cluster in right PMd classified right- and left-handers with 86.2% accuracy. Control analyses using non-motor resting-state networks, including the (Broca) speech and the visual network, revealed no significant differences in functional connectivity related to handedness. Higher connectivity in right-handers might, therefore, reflect a systematic impact of handedness on an intrinsic functional level and might explain the observation that right-handedness is usually more lateralised than left-handedness. Furthermore, enhanced connectivity between M1 and PMd serves as an individual marker / endophenotype of handedness. In summary, the present thesis demonstrates that the dynamic modulation of the motor system during motor performance is mediated by a specific set of brain regions in both rightand left-handers. Furthermore, the results indicate that differences in coupling strength between right- and left-handers reflect the impact of handedness on both functional and effective connectivity

Whole-brain estimates of directed connectivity for human connectomics

Connectomics is essential for understanding large-scale brain networks but requires that individual connection estimates are neurobiologically interpretable. In particular, a principle of brain organization is that reciprocal connections between cortical areas are functionally asymmetric. This is a challenge for fMRI-based connectomics in humans where only undirected functional connectivity estimates are routinely available. By contrast, whole-brain estimates of effective (directed) connectivity are computationally challenging, and emerging methods require empirical validation. Here, using a motor task at 7T, we demonstrate that a novel generative model can infer known connectivity features in a whole-brain network (>200 regions, >40,000 connections) highly efficiently. Furthermore, graph-theoretical analyses of directed connectivity estimates identify functional roles of motor areas more accurately than undirected functional connectivity estimates. These results, which can be achieved in an entirely unsupervised manner, demonstrate the feasibility of inferring directed connections in whole-brain networks and open new avenues for human connectomics

Dynamic causal modeling of neural responses to an orofacial pneumotactile velocity array

The effective connectivity of neuronal networks during orofacial pneumotactile stimulation with different velocities is still unknown. The present study aims to characterize the effectivity connectivity elicited by three different saltatory velocities (5, 25, and 65 cm/s) over the lower face using dynamic causal modeling on functional magnetic resonance imaging data of twenty neurotypical adults. Our results revealed the contralateral SI and SII as the most likely sources of the driving inputs within the sensorimotor network for the pneumotactile stimuli, suggesting parallel processing of the orofacial pneumotactile stimuli. The 25 cm/s pneumotactile stimuli modulated forward interhemispheric connection from the contralateral SII to the ipsilateral SII, suggesting a serial interhemispheric connection between the bilateral SII. Moreover, the velocity pneumotactile stimuli influenced the contralateral M1 through contralateral SI and SII, indicating that passive pneumotactile stimulation may positively impact motor function rehabilitation. Furthermore, the medium velocity 25 cm/s pneumotactile stimuli modulated both forward and backward connections between the right cerebellar lobule VI and the contralateral left SI and M1. This result suggests that the right cerebellar lobule VI plays a role in the sensorimotor network through feedforward and feedback neuronal pathways. This study is the first to map similarities and differences of effective connectivity across the three-velocity orofacial pneumotactile stimulation. Our findings shed light on the potential therapeutic use of passive orofacial pneumotactile stimuli using the Galileo system

Ageing and the Ipsilateral M1 BOLD Response: A Connectivity Study.

Young people exhibit a negative BOLD response in ipsilateral primary motor cortex (M1) when making unilateral movements, such as button presses. This negative BOLD response becomes more positive as people age. In this study, we investigated why this occurs, in terms of the underlying effective connectivity and haemodynamics. We applied dynamic causal modeling (DCM) to task fMRI data from 635 participants aged 18-88 from the Cam-CAN dataset, who performed a cued button pressing task with their right hand. We found that connectivity from contralateral supplementary motor area (SMA) and dorsal premotor cortex (PMd) to ipsilateral M1 became more positive with age, explaining 44% of the variability across people in ipsilateral M1 responses. In contrast, connectivity from contralateral M1 to ipsilateral M1 was weaker and did not correlate with individual differences in rM1 BOLD. Neurovascular and haemodynamic parameters in the model were not able to explain the age-related shift to positive BOLD. Our results add to a body of evidence implicating neural, rather than vascular factors as the predominant cause of negative BOLD-while emphasising the importance of inter-hemispheric connectivity. This study provides a foundation for investigating the clinical and lifestyle factors that determine the sign and amplitude of the M1 BOLD response in ageing, which could serve as a proxy for neural and vascular health, via the underlying neurovascular mechanisms

A computational model based on corticospinal functional MRI revealed asymmetrically organized motor corticospinal networks in humans

新規MRI技術で利き手の神経制御メカニズムを解明 --手指運動中の脳・脊髄機能結合パターンの左右差を世界で初めて計測--. 京都大学プレスリリース. 2022-08-08.Evolution of the direct, monosynaptic connection from the primary motor cortex to the spinal cord parallels acquisition of hand dexterity and lateralization of hand preference. In non-human mammals, the indirect, multi-synaptic connections between the bilateral primary motor cortices and the spinal cord also participates in controlling dexterous hand movement. However, it remains unknown how the direct and indirect corticospinal pathways work in concert to control unilateral hand movement with lateralized preference in humans. Here we demonstrated the asymmetric functional organization of the two corticospinal networks, by combining network modelling and simultaneous functional magnetic resonance imaging techniques of the brain and the spinal cord. Moreover, we also found that the degree of the involvement of the two corticospinal networks paralleled lateralization of hand preference. The present results pointed to the functionally lateralized motor nervous system that underlies the behavioral asymmetry of handedness in humans