Age and hemispheric differences in transcallosal inhibition between motor cortices: an ispsilateral silent period study
© Davidson and Tremblay; licensee BioMed Central Ltd. 2013
Received: 28 November 2012
Accepted: 20 June 2013
Published: 25 June 2013
In this study, we investigated age and hemispheric differences in transcallosal inhibition (TCI) in the context of active contraction using the ipsilateral silent period (iSP). We also examined whether age-related changes in TCI would be related to corresponding changes in manual performance with age. Participants consisted of right-handed individuals from two age groups (young adults, n=13; seniors, n=17). The iSP was measured for each hemisphere using suprathreshold TMS pulses delivered over the primary motor cortex ipsilateral to the maximally contracting hand while the homologue muscles of the opposite hand were lightly contracting (~15% of the maximum). Manual performance was assessed bilaterally for both grip strength and fine dexterity.
Our results yielded two main findings. First, TCI measures derived from iSP were strongly influenced by age, whereas differences between hemispheres were only minor. Second, correlation analyses revealed that age-related variations in TCI measures were related to changes in manual performance, so that left-to-right TCI correlated with right hand performance and vice-versa for the opposite hand/hemisphere.
Overall, these results concur with other recent reports indicating that mutual inhibition between motor cortices tends to decline with age. In this respect, our observations are in line with the notion that the balance of normally predominantly inhibitory interactions between motor cortices is shifted toward excitatory processes with age.
Coordination of movements relies on both the activation of each independent hemisphere and the communication between hemispheres which is mediated via the corpus callosum . This transcallosal pathway is essential for the interhemispheric transfer of perceptual, sensory and motor information underlying complex and integrated behaviors . Although transcallosal connections can be facilitatory, mutual inhibition appears to be the primary mode of action between the two primary motor cortices . This mutual inhibition has been shown to be finely modulated depending on task demands, unilateral actions leading to increased inhibitory drive from the active hemisphere, whereas bilateral actions lead to more balanced inhibition between hemispheres allowing for coordinated actions of the two extremities [4, 5]. In the primary motor cortex (MI), interhemispheric inhibition can be assessed non-invasively with transcranial magnetic stimulation (TMS) using either paired-pulse paradigms or via the ipsilateral silent period (iSP) . With paired-pulse paradigms, the target hemisphere is first conditioned by applying suprathreshold TMS on the opposite hemisphere at short (8–12 ms) or long (e.g., 40 ms) inter-stimulus intervals leading to two corresponding periods of inhibition of test motor evoked potentials (MEPs), i.e. short-latency (SIHI) and long-latency (LIHI) interhemispheric inhibition. The iSP assesses transcallosal inhibition by applying focal TMS to the motor cortex ispsilateral to the test hand while the target muscle is activated voluntarily, leading to a brief interruption of the ongoing muscle activity . This interruption of voluntary muscle activity is thought to reflect transcallosal inhibition (TCI) mediated by the MI opposite to the one being active for maintaining the contraction . As stressed by Chen et al. , although SIHI/LIHI and iSP both reflect interactions between motor cortices, they should be considered complementary rather that equivalent measures of TCI since their effects appear to be mediated by different neuronal populations.
While TMS investigations have highlighted the critical role of interhemispheric inhibition in the acquisition and transfer of motor skills , there is still limited information as to how this process changes as people advance in age. Indirect evidence of changes in interhemispheric inhibition with age comes from observations of difficulties experienced by older adults in bimanual tasks along with the presence of motor overflow during performance of unimanual actions [reviewed in . This is paralleled by reports from functional neuroimaging studies showing that task-related activation patterns in sensorimotor areas are typically less lateralized and more widespread in older adults than in young adults . Such changes in brain activation patterns are consistent with reports of structural alterations in the corpus callosum with age affecting its integrity in terms of the quantity and quality of white matter [12, 13]. As suggested by Seidler and colleagues , such observations point to a shift in the balance of mutual inhibition between motor cortices with age towards excitatory processes. In agreement with this view, Talelli et al.  reported that the degree of LIHI from the left MI to the right MI during right hand grip was progressively reduced with advancing age, there was even a switch from inhibition to facilitation in the very old participant. Interestingly, the age-related reduction was not observed for SIHI, a differential effect the authors ascribed to putative physiological differences between SIHI and LIHI. In line with this, a recent investigation by Fling and Seidler  using the iSP as an index of transcallosally-mediated inhibition associated with voluntary contraction, also failed to detect age differences although young participants tended to show longer iSP durations than old participants. Thus, although observations from behavioral and neuroimaging studies seem compatible with an age-related shift in the balance of mutual inhibition between motor cortices, recent findings from TMS studies remains controversial in this regard.
Another related controversial topic with regard to hemispheric interactions pertains to laterality issues associated with manual asymmetries. Given anatomical and physiological evidence pointing to a leftward asymmetry in the organization of the hand motor representation in strong right-handers , one would expect that the balance of inhibition between motor cortices would favour the dominant (left) over the non dominant (right) hemisphere in most individuals. Surprisingly, very few TMS studies have examined this issue specifically. In line with the existence of a leftward asymmetry, early investigations by Netz et al.  showed that levels of SIHI from the dominant hemisphere was greater than that elicited from the non-dominant hemisphere in right-handers. More recent investigations, however, showed that such asymmetries in interhemispheric inhibition observed in the resting state are not necessarily present in the active state ; highlighting the importance of examining interhemispheric interactions in the context of voluntary contraction.
In the present study, we investigated mutual inhibition between motor cortices using the iSP as an index of transcallosally mediated inhibition in healthy young and senior adults. We first asked whether differences existed between the dominant and non dominant MI in strong right-handed participants and whether these differences were affected by age. Then, we asked whether age-related variations in the strength of TCI from one hemisphere would be related to changes in performance of the contralateral hand with age.
Manual performance and corticomotor excitability
Characteristics of the participants with respect to demographics, hand function and basic measures of corticomotor excitability (All values represent Mean ± SD)
22.4 ± 3.0
9 M, 4 F
6 M, 11 F
Edinburgh Handedness score (/20)
15.7 ± 3.4
17.7 ± 2.6
RH: 55.5 ± 4.9**
RH: 88.5 ± 33.6**
(GPT in s)
LH: 67.5 ± 6.9
LH: 100.3 ± 38.9
RH: 10.1 ± 2.6**
RH: 7.2 ± 1.6
LH: 9.1 ± 2.4
LH: 6.7 ± 1.7
Corticomotor excitability a
RH: 61.0 ± 11.3
RH:70.1 ± 11.5**
LH: 57.6 ± 8.3
LH: 65.9 ± 13.0
MEP amplitude (mV)
RH: 5.6 ± 1.8
RH: 3.6 ± 1.2
LH: 5.5 ± 1.8
LH: 3.5 ± 1.5
MEP Latency (ms)
RH: 20.2 ± 1.8
RH: 21.8 ± 2.1
LH: 20.1 ± 1.5
LH: 21.7 ± 2.3
cSP duration (ms)
RH: 141.5 ± 34.8
RH: 115.9 ± 24.2
LH: 148.9 ± 37.9
LH: 115.3 ± 26.0
Age and hemispheric differences in ispsilateral inhibition
The large “Age” effect found in the primary analysis prompted a secondary analysis to better delineate the impact of this factor and also to address possible influences arising from age differences in corticomotor excitability. For this secondary analysis, all right and left TMS measures obtained in each participant were averaged to get single mean values. Then, chronological age, rMT, MEP amplitude, MEP latency and cSP duration were entered as co-variates into univariate analyses of co-variance (ANCOVA) to examine their respective impact on each measure of TCI (i.e., LTI, iSP area and TCT). This series of ANCOVAs confirmed the significant impact of chronological age (F1,22>4.5, p<0.05), this factor alone accounting for respectively 17%, 24% and 23% of the variance in LTI, iSP area and TCT measures. Besides a significant effect of MEP latency on LTI measures (F1,22=11.1, p=0.002), which was expected given that LTI depends to a large extent on MEP latency, no other co-variates had a significant effect on measures of TCI (F1,22<3.6, p>0.07).
Relationships between transcallosal inhibition and manual performance
Associations between measures of transcallosal inhibition and age-related variations in unimanual performance of the right hand and left hand
Direction of motor transcallosal inhibitiona
Grip strength (Pinch dynamometer)
Left to right
Right to left
In the present study, we investigated age and hemispheric differences in mutual inhibition between motor cortices during voluntary activation using the iSP to probe TCI. Two main findings emerge from our observations. First, TCI indices derived from iSP characteristics (i.e., LTI, iSP area and TCT) were strongly influenced by age differences, whereas differences between hemispheres were only marginal. Second, correlation analyses revealed significant relationships between indices of TCI derived from each hemisphere and performance of the contralateral hand in dexterity and grip strength tests, so that left-to-right TCI correlated with right hand performance and vice-versa for right-to-left TCI and left hand performance. In the following discussion, we address the significance of these findings for the study of aging and its impact on motor systems.
Age and hemispheric differences in TCI
Contrary to evidence suggesting an asymmetry in the balance of mutual inhibition in favor of the dominant MI in right-handed individuals [17, 19, 20], only minor differences in TCI were found between the two hemispheres in our two groups of participants. In this respect, our results appear consistent with those of De Gennaro et al. , who found no difference in interhemispheric inhibition between the two hemispheres in resting state using bifocal TMS in young adults. Our observations for the senior group are also in line with those of Lewis & Perrault  who also failed to detect differences in paired-pulse SIHI between the dominant and non dominant hemisphere in their group of healthy senior adults, who served as controls for stroke patients. Interestingly, the absence of hemispheric asymmetry reported in Lewis & Perrault’s study was evident only when the target hand (contralateral to the test hemisphere) was active, irrespective of whether the ipsilateral hand was active or not. In the present study, the fact that iSP was tested during concurrent contraction of both hands might have been critical in attenuating possible asymmetries in the level of mutual inhibition in relation to manual dominance. It remains that the issue of hemispheric asymmetries in relation to manual dominance remains a controversial topic in the TMS literature [e.g., see  and more research is needed with larger groups of right- and left-handers to address the question.
Contrasting with the relatively minor difference found between hemispheres, a major difference was found between age groups, senior participants showing delayed LTI, prolonged TCT and reduced iSP area when compared to young participants. Given that our group of seniors exhibited signs of decreased corticomotor excitability, it is possible that the observed age difference in TCI might have reflected impaired motor activation or peripheral nerve dysfunction. This possibility seems unlikely, however, for several reasons. First, with regard to motor activation, the work of Giovannelli et al.  has clearly demonstrated that TMS-induced ispsilateral inhibition is little affected by the intensity of contraction in the test hand, the most important factor being rather the presence of light activity in the opposite hand. During testing, all our participants, and especially seniors, were encouraged to produce their maximum effort in the ispsilateral hand, while lightly contracting the other hand. Thus, by basing our assessment on Giovannelli’s method, we made sure that conditions would be optimal to elicit ipsilateral inhibition in each age group, in spite of individual variations in muscle activation. Second, as demonstrated by our secondary analysis (ANCOVAs), age-related variations in various indices of corticomotor excitability had little influence on measures of ispsilateral inhibition. In fact, the only significant interaction found was between LTI and contralateral MEP latency, which was expected. However, the computation of TCT, which largely removes the influence of MEP latency, showed that age differences were still highly significant. To summarize, while our seniors exhibited typical signs of corticomotor aging [e.g., , these changes could hardly account for the large age effect observed on iSP measures; pointing to central alterations in TCI as the primary cause.
In fact, our observations appear to be congruent with the proposal of Seidler’s group  that there is a shift with age in the balance of mutual inhibition between motor cortices towards excitatory processes. However, as noted earlier, these investigators  found only a trend when comparing the strength of ispsilateral inhibition in young and old adults. Their observation that young adults tended to show deeper levels of ipsilateral inhibition than older adults seems consistent with the age difference reported here. In more direct line with our results, Boudrias et al.  observed a strong age effect when comparing measures of interhemispheric inhibition derived from bi-focal TMS in young and older adults. In their study, a clear distinction was seen between young and older adults in that most seniors showed evidence of transcallosal facilitation rather than the typical inhibition. In the same vein, McGregor et al.  found that measures of ispsilateral inhibition were significantly reduced in older subjects when compared to young. Interestingly, the largest reductions were seen in the group of sedentary seniors, where iSP durations were on average 50% shorter than in young adults; a range comparable to the averaged reduction in iSP area reported here (57%). In physically active seniors, the reduced ipsilateral inhibition was less pronounced (~25%), which led McGregor et al. to conclude that engaging in regular physical activity could help to maintain levels of interhemispheric inhibition. Although we did not specifically control for activity level in our study, it is worth noting that the outlier senior who showed exceptionally long iSP duration (see Results) was also highly active as judged by self-report. It would be interesting for future studies to investigate how interactions between advancing age and levels of physical activity influence hemispheric interactions, but the small sample size used in the present study precludes any conclusion in this regard. Nevertheless, both the present findings and the results of recent TMS studies concur with the notion that transcallosally mediated inhibition becomes less efficient with age in line with reports describing structural alterations in the integrity of callosal fibres between motor cortices with advancing age [15, 24, 26].
Regarding the physiological mechanisms underlying the observed changes in iSP measures with age, the reduced iSP area points to a decrease in the excitability of ispsilateral transcallosal inhibitory neurons. Such a decrease would be consistent with reports of age-related reductions in the excitability of local inhibitory circuits mediating short-interval intra-cortical inhibition (SICI)  and short-latency afferent inhibition  reported in the motor cortex of seniors. As shown by Avenzino et al. , local interneurons involved in transcallosally mediated inhibition share common properties with those controlling excitability of pyramidal tract neurons; and thus, any alterations in intra-cortical excitability with age could also affect inhibitory connections between motor cortices. In parallel, the delayed LTI and prolonged TCT found in seniors are consistent with reports of structural alterations in callosal connectivity between motor cortices with age, as stated earlier. In fact, a growing body of evidence [12, 30] is now emerging linking preserved task-related functional connectivity between hemispheres in seniors with integrity of transcallosal connections. Indeed, as suggested by our correlational analysis, integrity of transcallosal connections seems to be important in allowing older adults to maintain certain levels of performance, as discussed below.
Relationship between ipsilateral inhibition and manual performance
The result of our correlation analysis revealed significant relationships between our different measures of TCI in each hemisphere and performance of the contralateral hand, so that left to right TCI (left hemisphere stimulated) correlated with right hand performance and vice versa for the left hand. Interestingly, these associations were particularly strong for the dexterity task, which is consistent with the purported role of TCI in preventing motor overflow when task demands require fine unilateral control of one hand . While correlations with grip strength were not as strong, good quality relationships were still found, for example, between iSP area and left hand; suggesting a role of TCI in unimanual force production. In line with this, Fling and Seidler  recently reported an inverse relationship between measures of ispsilateral inhibition and the ability of young individuals to suppress motor activity in the resting hand (i.e., motor overflow) during a unimanual force production task. Although we did not monitor motor activity in the resting hand during our tests of manual performance, our observations on the association between measures of TCI and manual performance are consistent with those of Fling and Seidler with regard to the role of TCI in allowing fine independent control of unimanual performance. In a related study from the same group of investigators , the association between functional motor activation and performance of a precision task with the dominant hand was examined in young and old adults. Much like in the present study, the authors found that increased ispsilateral motor recruitment (and presumably less efficient TCI) was associated with poorer task performance. The fact that this association was found only for the older group and not in younger subjects does not invalidate the comparison with the present findings since both their results and ours converge to show that proper levels of TCI is an important factor in leading to fine motor performance in the context of precision tasks, especially as people advance in age. In fact, there is ample evidence from TMS studies that levels of intra- and interhemispheric inhibition are critical for the performance of fine motor tasks [14, 32–34]. With regard to aging specifically, the observation that our group of seniors exhibited various levels of impaired ispsilateral inhibition and that these impairments were in part reflected in their dexterity performance would be consistent with other studies in which deterioration in motor performance and in inter-limb coordination with age was associated with a decreased ability to modulate inhibition at the central level [14, 34–36].
The present study examined age and hemispheric differences in mutual inhibition between motor cortices using the iSP as a marker of transcallosally mediated inhibition. Consistent with previous studies, we report a major difference with regard to age, whereas differences between hemispheres were only marginal. In addition, we show that measures of TCI derived from each hemisphere correlated well with age-related variations in manual performance of the contralateral hand. Overall, these results appear congruent with the hypothesis proposed by Seidler and colleagues  suggesting a shift with age in the overall balance of normally predominantly inhibitory interhemispheric interactions toward excitatory processes. Possible limitations of the present study include the small number of participants in each age group and the fact that older participants were considered as active seniors, which may not be representative of the population of seniors in general.
The study procedures were approved by the Research Ethics Board at the Bruyère Research Institute, Ottawa, Ontario, Canada. Written informed consent was obtained prior to participation from all participants in accordance with the Declaration of Helsinki. All assessments were performed in a controlled laboratory environment. Each participant received a small honorarium for his or her participation.
Two groups of participants, young and senior were recruited for this study. The young group (n=13) was recruited from the student population at University of Ottawa, whereas the senior group (n=17) was recruited from the community in the Ottawa-Gatineau area. All participants were right-handed, as determined by the Edinburg Handedness Inventory . Prior to the experimental session, all participants completed a medical questionnaire to determine their general health status and to ensure that there were no contra-indications to TMS or antecedents of conditions likely to affect their performance in the tests. In addition, sensory function of the hand was assessed using a Rydel-Seiffer tuning fork to rule out the presence of undiagnosed neuropathies. All participants exhibited vibration thresholds in line with their norms for their age range . The demographic characteristics of the participants are listed in Table 1.
Manual performance: Grooved Pegboard Test and pinch strength
For manual performance, participants were comfortably seated in front of a table. All tests were applied bilaterally and administered by the same experimenter (TD). The order of testing with each hand was determined randomly before the testing session. Manual dexterity was assessed with the grooved pegboard test (GPT, Lafayette Instr, IN 47903), which consists of inserting pegs into keyholes in a specific order as fast as possible. After instructions and practice trials, the GPT was administered once to each hand and performance was recorded as the time in seconds to complete the task. The second test consisted of grip strength assessment. For this test, a small pinch gauge (PG-60, B & L Engineering, Santa Ana, CA 92705) was used to assess the thumb-index finger pinch strength. This test also provided an index of the muscle activity elicited by the first dorsal interosseous muscles (FDI) during maximal voluntary contraction. Participants were presented with the gauge and were asked to press as hard as they can for the duration of a tone, which lasted 3 s. Three trials were performed for each hand with a 60 s rest between trials. The average provided a measure of pinch strength and of maximal activation in the FDI. To avoid any interference associated with fatigue, the strength test was always performed at the end of the testing session, after neurophysiological testing was completed.
Electromyographic (EMG) activity was recorded using 10-mm auto-adhesive surfaces electrodes (Ag/AgCl, Kendall Medi-Trace™ 130) placed over the FDI muscles of each hand using a tendon-belly montage. EMG signals were amplified and filtered with a time constant of 10 ms and a low-pass filter of 1 kHz (AB-621G Bioelectric amplifier, Nihon-Kohden Corp., CA 92610). Signals were digitized at rate of 2 kHz (BNC-2090, National Instrument Corp.) and further relayed to a laboratory computer running custom software to control acquisition.
Transcranial magnetic stimulation and resting motor threshold (rMT)
Magnetic stimulation was delivered via a Rapid2 stimulator (Magstim Co. Dyfed, UK) connected to a figure-eight coil (90 mm outer loop diameter). All testing was performed with the participants comfortably seated in a recording chair. Participants were fitted with a Waveguard TMS compatible cap (ANT North America Inc, WI 53719) to allow for consistent coil placement. A U-shaped neck cushion was also used to restrain head movements and prevent neck fatigue. TMS testing sessions began by first determining the “hotspot” for the FDI and then by determining the rMT for the stimulated hemisphere. This procedure was performed sequentially on each hemisphere with the order of testing between the two alternating between participants. To determine the optimal site to evoke MEP’s in the contralateral target muscle (FDI), the approximate location of the hand motor area on the stimulated hemisphere was explored in 1-cm steps until reliable MEP’s could be evoked. This site was then marked with a red dot to ensure consistent coil positioning. After localization of this stimulation “hotspot”, the rMT was determined using the procedure described by Mills and Nithi . Starting from suprathreshold intensity, the stimulation intensity was gradually decreased in 1% steps until no MEP’s could be evoked in 10/10 consecutive trials (lower threshold). Then, the intensity was increased in 1% increments to find the minimal intensity that would produce reliable peak-to-peak amplitude MEPs of at least 50 μV for 10/10 consecutive trials (upper threshold). The rMT was defined for each participant as the median intensity between the upper and lower threshold values. EMG was continuously monitored on an oscilloscope, at high gain (0.1 mV/div), to ensure the absence of any muscle activity during the procedure. As mentioned above, the same procedures were repeated for the opposite hemisphere.
Contralateral and ipsilateral silent period (cSP/ iSP)
TMS data analysis
Data from the cSP/iSP trials were analyzed off-line from visual inspection of stored EMG traces using custom software. All visual analyses were performed by the same investigator (TD) using numerically coded files, which were saved separately from the demographic data, to allow for blinding with respect to the age of the participant. Visual analysis of silent periods has been shown to have good inter and intra-rater reliability [40, 41]. For cSP measures, EMG traces obtained from the contralateral hand were examined individually to determine the duration of the SP and measure the characteristics of the associated MEP in terms of amplitude (peak to peak) and latency. The cSP duration was determined as the time from the MEP onset till the first sign of EMG recovery. Mean values were computed by averaging individual trials. The same approach was used to analyze iSP trials using EMG traces obtained from the ispsilateral hand. For iSP measures, each individual file was analysed twice with at least one week interval between runs to ensure intra-rater reliability. In each file, two main indices of TCI were derived from the EMG trace of the ipsilateral hand. First, to get an index of the interhemispheric transfer time, the onset latency of transcallosally mediated inhibition (LTI) was measured. The LTI was defined as the time interval from the cortical stimulus until the 1st sign of sustained decline (>25% of mean EMG level for at least 5 ms) in the EMG activity level. Maximal and mean EMG levels were measured 100 ms prior to stimulation. The second index consisted of estimating the depth of ispsilaterally-induced inhibition by computing the iSP area. The latter was determined by first rectifying the EMG trace and then by computing the integral of the area delimited by the iSP onset and offset. As stated above, the iSP onset was determined as the first time point where the signal of the EMG activity clearly fell under the mean level observed before the cortical stimulus. The iSP offset was determined as the first time point after iSP onset at which the EMG level returned to the mean level. The reliability analysis showed a strong to very strong level of agreement, as reflected in intra-class correlation coefficients, between the two set of measurements for both the LTI (right hand, 0.93; left hand, 0.97) and iSP area measures (right hand, 0.82; left hand, 0.80). Individual examples of EMG traces analysed to derive iSP measurements are shown in Figure 1A for a participant in each age group. Finally, as a co-result of this analysis, we derived a third index of TCI by computing the transcallosal conduction time (TCT), i.e., the duration of the stimulus transfer to one hemisphere to the other, by subtracting the MEP latency obtained from the contralateral hand from the iSP onset latency (i.e., LTI, see Figure 3).
The statistical analysis was performed in three steps. First, right-left differences in manual performance and in basic measures of corticomotor excitability were examined in each age group with paired t-tests. For these paired comparisons, the significance level was set at P<0.01 to reduce the risk of type I error owing to multiple comparisons. The second step consisted of examining variations in each index of TCI (LTI, iSP area and TCT, respectively) using analyses of variance (ANOVA) for repeated measures with “Hand/Hemisphere” as the within-subject factor and “Age Group” as the between-subjects factors. For this analysis, the significance level was set at P<0.05 to detect main effects and interactions. The final step consisted of examining relationships between manual performance and measures of TCI using Pearson’s correlation. For these analyses, timed performance for the dexterity test (i.e., GPT) was log transformed to normalize the distribution which was skewed owing to the presence of participants in the senior group (4/17) with very slow performance (>120 s). The significance level for the correlations was set at P<0.05. All statistical tests were performed using SPSS software version 17.0 for Windows® (Chicago, IL, USA). Figures were prepared using GraphPad Prism version 5.00 for Windows (GraphPad Software, San Diego California USA, http://www.graphpad.com).
Analyses of variance
Duration of transcallosal inhibition
Edinburgh inventory index
First dorsal interosseous
Grooved pegboard test
Ipsilateral silent period
- iSP area:
Area under the curve during the ipsilateral silent period
Long-latency interhemispheric inhibition
Latency of transcallosal inhibition
Motor evoked potential
Primary motor cortex
Resting motor threshold
Short-latency interhemispheric inhibition
Transcallosal conduction time
Transcranial magnetic stimulation.
The authors wish to thank all participants for their time and patience during testing. Part of this work served for the partial fulfillment of a Master of Sciences in Human Kinetics by Travis Davidson. Travis Davidson received a research trainee fellowship towards the completion of this project by the Bruyère Research Institute. This study was supported in large part by the Research Development Funds, Faculty of Health Sciences awarded to F. Tremblay.
- Carson RG: Neural pathways mediating bilateral interactions between the upper limbs. Brain Res Rev. 2005, 49 (3): 641-662. 10.1016/j.brainresrev.2005.03.005.View ArticlePubMedGoogle Scholar
- Franz EA, Waldie KE, Smith MJ: The effect of callosotomy on novel versus familiar bimanual actions: a neural dissociation between controlled and automatic processes?. Psychol Sci. 2000, 11 (1): 82-85. 10.1111/1467-9280.00220.View ArticlePubMedGoogle Scholar
- De Gennaro L, Cristiani R, Bertini M, Curcio G, Ferrara M, Fratello F, Romei V, Rossini PM: Handedness is mainly associated with an asymmetry of corticospinal excitability and not of transcallosal inhibition. Clin Neurophysiol. 2004, 115 (6): 1305-1312. 10.1016/j.clinph.2004.01.014.View ArticlePubMedGoogle Scholar
- Fling BW, Seidler RD: Task-dependent effects of interhemispheric inhibition on motor control. Behav Brain Res. 2012, 226 (1): 211-217. 10.1016/j.bbr.2011.09.018.PubMed CentralView ArticlePubMedGoogle Scholar
- Shim JK, Kim SW, Oh SJ, Kang N, Zatsiorsky VM, Latash ML: Plastic changes in interhemispheric inhibition with practice of a two-hand force production task: a transcranial magnetic stimulation study. Neurosci Lett. 2005, 374 (2): 104-108. 10.1016/j.neulet.2004.10.034.PubMed CentralView ArticlePubMedGoogle Scholar
- Reis J, Swayne OB, Vandermeeren Y, Camus M, Dimyan MA, Harris-Love M, Perez MA, Ragert P, Rothwell JC, Cohen LG: Contribution of transcranial magnetic stimulation to the understanding of cortical mechanisms involved in motor control. Journal of Physiol. 2008, 586 (2): 325-351.View ArticleGoogle Scholar
- Meyer BU, Roricht S: Grafin von Einsiedel H, Kruggel F, Weindl A: Inhibitory and excitatory interhemispheric transfers between motor cortical areas in normal human and patients with abonormalities of the corpus callosum. Brain. 1995, 118 (2): 429-440. 10.1093/brain/118.2.429.View ArticlePubMedGoogle Scholar
- Chen R, Yung D, Li J-Y: Organization of Ipsilateral Excitatory and Inhibitory Pathways in the Human Motor Cortex. Journal of Neurophysiol. 2003, 89 (3): 1256-1264.View ArticleGoogle Scholar
- Perez MA, Cohen LG: Interhemispheric inhibition between primary motor cortices: what have we learned?. J Physiol. 2009, 587 (4): 725-726. 10.1113/jphysiol.2008.166926.PubMed CentralView ArticlePubMedGoogle Scholar
- Fling BW, Peltier S, Bo J, Welsh RC, Seidler RD: Age Differences in Interhemispheric Interactions: Callosal Structure, Physiological Function, and Behavior. Front Neurosci. 2011, 5: 38.PubMed CentralView ArticlePubMedGoogle Scholar
- Ward NS: Compensatory mechanisms in the aging motor system. Ageing Res Rev. 2006, 5 (3): 239-254. 10.1016/j.arr.2006.04.003.View ArticlePubMedGoogle Scholar
- Fling BW, Chapekis M, Reuter-Lorenz PA, Anguera J, Bo J, Langan J, Welsh RC, Seidler RD: Age differences in callosal contributions to cognitive processes. Neuropsychologia. 2011, 49 (9): 2564-2569. 10.1016/j.neuropsychologia.2011.05.004.PubMed CentralView ArticlePubMedGoogle Scholar
- Langan J, Peltier S, Bo J, Fling BW, Welsh RC, Seidler RD: Functional implications of age differences in motor system connectivity. Frontiers in System Neuroscience. 2010, 4: 10.3389/fnsys.2010.00017.Google Scholar
- Talelli P, Waddingham W, Ewas A, Rothwell JC, Ward NS: The effect of age on task-related modulation of interhemispheric balance. Exp Brain Res. 2008, 186 (1): 59-66. 10.1007/s00221-007-1205-8.PubMed CentralView ArticlePubMedGoogle Scholar
- Fling BW, Seidler RD: Fundamental Differences in Callosal Structure, Neurophysiologic Function, and Bimanual Control in Young and Older Adults. Cereb Cortex. 2012, 22 (11): 2643-2652. 10.1093/cercor/bhr349.PubMed CentralView ArticlePubMedGoogle Scholar
- Hammond G: Correlates of human handedness in primary motor cortex: a review and hypothesis. Neurosci Biobehav Rev. 2002, 26 (3): 285-292. 10.1016/S0149-7634(02)00003-9.View ArticlePubMedGoogle Scholar
- Netz J, Ziemann U, Homberg V: Hemispheric asymmetry of transcallosal inhibition in man. Exp Brain Res. 1995, 104 (3): 527-533.View ArticlePubMedGoogle Scholar
- Lewis GN, Perreault EJ: Side of lesion influences interhemispheric inhibition in subjects with post-stroke hemiparesis. Clin Neurophysiol. 2007, 118 (12): 2656-2663. 10.1016/j.clinph.2007.08.027.PubMed CentralView ArticlePubMedGoogle Scholar
- Kobayashi M, Hutchinson S, Schlaug G, Pascual-Leone A: Ipsilateral motor cortex activation on functional magnetic resonance imaging during unilateral hand movements is related to interhemispheric interactions. Neuroimage. 2003, 20 (4): 2259-2270. 10.1016/S1053-8119(03)00220-9.View ArticlePubMedGoogle Scholar
- Bäumer T, Dammann E, Bock F, Klöppel S, Siebner HR, Münchau A: Laterality of interhemispheric inhibition depends on handedness. Exp Brain Res. 2007, 180 (2): 195-203. 10.1007/s00221-007-0866-7.View ArticlePubMedGoogle Scholar
- Bernard JA, Taylor SF, Seidler RD: Handedness, Dexterity, and Motor Cortical Representations. J Neurophysiol. 2011, 105 (1): 88-99. 10.1152/jn.00512.2010.View ArticlePubMedGoogle Scholar
- Giovannelli F, Borgheresi A, Balestrieri F, Zaccara G, Viggiano MP, Cincotta M, Ziemann U: Modulation of interhemispheric inhibition by volitional motor activity: an ipsilateral silent period study. J Physiol. 2009, 587 (22): 5393-5410. 10.1113/jphysiol.2009.175885.PubMed CentralView ArticlePubMedGoogle Scholar
- Oliviero A, Profice P, Tonali PA, Pilato F, Saturno E, Dileone M, Ranieri F, Di Lazzaro V: Effects of aging on motor cortex excitability. Neurosci Res. 2006, 55 (1): 74-77. 10.1016/j.neures.2006.02.002.View ArticlePubMedGoogle Scholar
- Boudrias M-H, Gonçalves CS, Penny WD, Park C-h, Rossiter HE, Talelli P, Ward NS: Age-related changes in causal interactions between cortical motor regions during hand grip. NeuroImage. 2012, 59 (4): 3398-3405. 10.1016/j.neuroimage.2011.11.025.PubMed CentralView ArticlePubMedGoogle Scholar
- McGregor KM, Zlatar Z, Kleim E, Sudhyadhom A, Bauer A, Phan S, Seeds L, Ford A, Manini TM, White KD, et al: Physical activity and neural correlates of aging: a combined TMS/fMRI study. Behav Brain Res. 2011, 222 (1): 158-168. 10.1016/j.bbr.2011.03.042.PubMed CentralView ArticlePubMedGoogle Scholar
- Fling BW, Kwak Y, Peltier SJ, Seidler RD: Differential relationships between transcallosal structural and functional connectivity in young and older adults. Neurobiol Aging. 2012, 33 (10): 2521-2526. 10.1016/j.neurobiolaging.2011.11.018.PubMed CentralView ArticlePubMedGoogle Scholar
- Peinemann A, Lehner C, Conrad B, Siebner HR: Age-related decrease in paired-pulse intracortical inhibition in the human primary motor cortex. Neurosci Lett. 2001, 313 (1–2): 33-36.View ArticlePubMedGoogle Scholar
- Young-Bernier M, Davidson PSR, Tremblay F: Paired-pulse afferent modulation of TMS responses reveals a selective decrease in short latency afferent inhibition with age. Neurobiol Aging. 2012, 33 (4): 835.e831-835.e811.View ArticleGoogle Scholar
- Avanzino L, Teo JTH, Rothwell JC: Intracortical circuits modulate transcallosal inhibition in humans. J Physiol. 2007, 583 (1): 99-114. 10.1113/jphysiol.2007.134510.PubMed CentralView ArticlePubMedGoogle Scholar
- Davis SW, Kragel JE, Madden DJ, Cabeza R: The architecture of cross-hemispheric communication in the aging brain: linking behavior to functional and structural connectivity. Cereb Cortex. 2012, 22 (1): 232-242. 10.1093/cercor/bhr123.PubMed CentralView ArticlePubMedGoogle Scholar
- Hoy KE, Fitzgerald PB, Bradshaw JL, Armatas CA, Georgiou-Karistianis N: Investigating the cortical origins of motor overflow. Brain Res Rev. 2004, 46 (3): 315-327. 10.1016/j.brainresrev.2004.07.013.View ArticlePubMedGoogle Scholar
- Sohn YH, Hallett M: Surround inhibition in human motor system. Exp Brain Res. 2004, 158 (4): 397-404.View ArticlePubMedGoogle Scholar
- Beck S, Hallett M: Surround inhibition is modulated by task difficulty. Clin Neurophysiol. 2010, 121 (1): 98-103. 10.1016/j.clinph.2009.09.010.PubMed CentralView ArticlePubMedGoogle Scholar
- Talelli P, Ewas A, Waddingham W, Rothwell JC, Ward NS: Neural correlates of age-related changes in cortical neurophysiology. Neuroimage. 2008, 40 (4): 1772-1781. 10.1016/j.neuroimage.2008.01.039.PubMed CentralView ArticlePubMedGoogle Scholar
- Fujiyama H, Hinder MR, Schmidt MW, Garry MI, Summers JJ: Age-related differences in corticospinal excitability and inhibition during coordination of upper and lower limbs. Neurobiol Aging. 2012, 33 (7): 1484.e1481-1484.e1414.View ArticleGoogle Scholar
- Fujiyama H, Garry MI, Levin O, Swinnen SP, Summers JJ: Age-related differences in inhibitory processes during interlimb coordination. Brain Res. 2009, 1262: 38-47.View ArticlePubMedGoogle Scholar
- Oldfield RC: The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971, 9 (1): 97-113. 10.1016/0028-3932(71)90067-4.View ArticlePubMedGoogle Scholar
- Pestronk A, Florence J, Levine T, Al-Lozi MT, Lopate G, Miller T, Ramneantu I, Waheed W, Stambuk M: Sensory exam with a quantitative tuning fork: rapid, sensitive and predictive of SNAP amplitude. Neurology. 2004, 62 (3): 461-464. 10.1212/01.WNL.0000106939.41855.36.View ArticlePubMedGoogle Scholar
- Mills KR, Nithi KA: Corticomotor threshold to magnetic stimulation: normal values and repeatability. Muscle Nerve. 1997, 20 (5): 570-576. 10.1002/(SICI)1097-4598(199705)20:5<570::AID-MUS5>3.0.CO;2-6.View ArticlePubMedGoogle Scholar
- Daskalakis ZJ, Molnar GF, Christensen BK, Sailer A, Fitzgerald PB, Chen R: An automated method to determine the transcranial magnetic stimulation-induced contralateral silent period. Clin Neurophysiol. 2003, 114 (5): 938-944. 10.1016/S1388-2457(03)00038-5.View ArticlePubMedGoogle Scholar
- Kimberley TJ, Borich MR, Prochaska KD, Mundfrom SL, Perkins AE, Poepping JM: Establishing the definition and inter-rater reliability of cortical silent period calculation in subjects with focal hand dystonia and healthy controls. Neurosci Lett. 2009, 464 (2): 84-87. 10.1016/j.neulet.2009.08.029.PubMed CentralView ArticlePubMedGoogle Scholar