Bimanual coordination and interhemispheric interaction

Gerloff, Christian; Andres, Frank

doi:10.1016/s0001-6918(02)00032-x

Cited by 165 publications

(110 citation statements)

References 109 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As in previous studies (Lang et al 1990;Gerloff and Andres 2002), bimanual tapping was accompanied by frequency-and phase-locked activations of the motor cortices in both hemispheres. Various cortical areas appeared to be linearly correlated as they showed oscillatory activity at the two (unimanual) movement frequencies, suggesting that bimanual patterns could be expressed as superposition of unimanual ones.…”

Section: Resultssupporting

confidence: 78%

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

2005

View full text Add to dashboard Cite

Abstract. Based on recent brain-imaging data and congruent theoretical insights, a dynamical model is derived to account for the patterns of brain activity observed during stable performance of bimanual multifrequency patterns, as well as during behavioral instabilities in the form of phase transitions between such patterns. The model incorporates four dynamical processes, defined over both motor and premotor cortices, which are coupled through inhibitory and excitatory inter-and intrahemispheric connections. In particular, the model underscores the crucial role of interhemispheric inhibition in reducing the interference between disparate frequencies during stable performance, as well as the failure of this reduction during behavioral transitions. As an aside, the model also accounts for in-and antiphase preferences during isofrequency movements. The viability of the proposed model is illustrated by magnetoencephalographic signals that were recorded from an experienced subject performing a polyrhythmic tapping task that was designed to induce transitions between multifrequency patterns. Consistent with the model's dynamics, contra-and ipsilateral cortical areas of activation were frequency-and phase-locked, while their activation strength changed markedly in the vicinity of transitions in coordination.

show abstract

Section: Resultssupporting

confidence: 78%

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

2005

View full text Add to dashboard Cite

show abstract

“…It has been shown that hemispheric interaction is critical for a unified representation of world (Houzel et al 2002), coordinating movement (Gerloff and Andres 2002), attentional processing (Banich 1998), pooling processing resources (Liederman 1998), and parallel processing (Compton 2002) among others. Bilaterally synchronous BOLD fluctuations have been previously observed in the motor cortex (Cordes et al 2000), visual cortex, thalamus, and hippocampus of humans (Stein et al 2000) and in the oculomotor and somatomotor areas of monkeys (Vincent et al 2007).…”

Section: Connectivity Patternsmentioning

confidence: 99%

Functional Networks in the Anesthetized Rat Brain Revealed by Independent Component Analysis of Resting-State fMRI

Hutchison

Mirsattari

Jones

et al. 2010

Journal of Neurophysiology

149

143

View full text Add to dashboard Cite

Hutchison RM, Mirsattari SM, Jones CK, Gati JS, Leung LS. Functional networks in the anesthetized rat brain revealed by independent component analysis of resting-state fMRI. J Neurophysiol 103: 3398-3406, 2010. First published April 21, 2010 doi:10.1152/jn.00141.2010. The rodent brain is organized into functional networks that can be studied through examination of synchronized low-frequency spontaneous fluctuations (LFFs) of the functional magnetic resonance imaging -blood-oxygen-level-dependent (BOLD) signal. In this study, resting networks of LFFs were estimated from the whole-brain BOLD signals using independent component analysis (ICA). ICA provides a hypothesis-free technique for determining the functional connectivity map that does not require a priori selection of a seed region. Twenty Long-Evans rats were anesthetized with isoflurane (1%, n ϭ 10) or ketamine/xylazine (50/6 mg · kg Ϫ1 · h Ϫ1 ip, n ϭ 10) and imaged for 5-10 min in a 9.4 T MR scanner without experimental stimulation or task requirement. Independent, synchronous LFFs of BOLD signals were found to exist in clustered, bilaterally symmetric regions of both cortical and subcortical structures, including primary and secondary somatosensory cortices, motor cortices, visual cortices, posterior and anterior cingulate cortices, hippocampi, caudate-putamen, and thalamic and hypothalamic nuclei. The somatosensory and motor cortices typically demonstrated both symmetric and asymmetric components with unique frequency profiles. Similar independent network components were found under isoflurane and ketamine/xylazine anesthesia. The report demonstrates, for the first time, 12 independent resting networks that are bilaterally synchronous in different cortical and subcortical areas of the rat brain.

show abstract

“…Indeed, after an interval of 24 hours, Kuriyama et al (2004) found enhanced consolidation in bimanual compared to unimanual finger-tapping performance, but this was only when the sequence was complex. A number of fMRI studies have shown that bimanual and unimanual tasks recruit somewhat different neural systems in the early stages of motor training, but it is not yet clear if this has any lasting effect on memory consolidation in sequence-specific learning (Bapi, Doya, & Harner, 2000;Gerloff & Andres, 2002;Sun, Miller, Rao, & D'Esposito, 2007).…”

Section: Introductionmentioning

confidence: 99%

Offline consolidation in implicit sequence learning

Meier¹,

Cock²

2014

Cortex

View full text Add to dashboard Cite

The goal of this study was to investigate offline memory consolidation with regard to general motor skill learning and implicit sequence-specific learning. We trained young adults on a serial reaction time task with a retention interval of either 24 hours (Experiment 1) or 1 week (Experiment 2) between two sessions. We manipulated sequence complexity (deterministic vs. probabilistic) and motor responses (unimanual or vs. bimanual). We found no evidence of offline memory consolidation for sequencespecific learning with either interval (in the sense of no deterioration over the interval but no further improvement either). However, we did find evidence of offline enhancement of general motor skill learning with both intervals, independent of kind of sequence or kind of response. These results suggest that general motor skill learning, but not sequence-specific learning, appears to be enhanced during offline intervals in implicit sequence learning.Keywords: implicit learning, motor skill learning, retention interval OFFLINE CONSOLIDATION 3 IntroductionThere have been a vast number of studies on sequence learning, but only recently has there been much interest in how it relates to memory consolidation. The term consolidation usually refers to the stabilization, and even enhancement, of memory traces after their initial acquisition. For example, it has been demonstrated that the performance of some procedures can be significantly improved after a "silent" or offline interval subsequent to training. During this interval, there is no further practice, or even mention, of the procedure, and learning remains largely tacit or implicit (Brown & Robertson, 2007;Hallgato, Gyori-Dani, Pekar, Janacsek, & Nemeth, 2013;Krakauer & Shadmehr, 2006;Németh et al., 2010). Consolidation is also sometimes referred to as resistance to interference and forgetting (Ghilardi, Moisello, Silvestri, Ghez, & Krakauer, 2009;Goedert & Willingham, 2002; Stephan, Meier, Orosz, Cattapan-Ludewig, & KaelinLang, 2009). In the present study, we use the first definition (i.e., further improvement or enhancement). For related reviews see Doyon et al. (2009) Offline consolidation of sequence learning may depend on a variety of factors, such as training session intervals (Albouy et al., 2008;Press, Casement, Pascual-Leone, & Robertson, 2005;, practice (Korman, Raz, Flash, & Karni, 2003;Shanks & Cameron, 2000;Steele & Penhune, 2010), sleep vs.,wakefulness and time of day (Brawn, Fenn, Nusbaum, & Margoliash, 2010;Cajochen et al., 2004;Della-Maggiore, 2005;Doyon et al., 2009;Fischer, Hallschmid, Elsner, & Born, 2002;Keisler, Ashe, & Willingham, 2007;Kuriyama, Stickgold, & Walker, 2004;Manoach et al., 2004;Maquet, Schwartz, Passingham, & Frith, 2003 The purpose of the present study was to investigate the separate contributions of general motor skill learning and sequence-specific memory consolidation in implicit sequence learning. General motor skill learning refers to faster responses as a result of practice. Sequence-specific learning refers to faster ...

show abstract

Bimanual coordination and interhemispheric interaction

Cited by 165 publications

References 109 publications

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

Stabilization of bimanual coordination due to active interhemispheric inhibition: a dynamical account

Functional Networks in the Anesthetized Rat Brain Revealed by Independent Component Analysis of Resting-State fMRI

Offline consolidation in implicit sequence learning

Contact Info

Product

Resources

About