The sensorimotor cortex is a brain region comprising the primary motor cortex (MI) and the primary somatosensory (SI) cortex. In humans, investigation into these regions suggests that MI and SI are involved in the modulation and control of motor and somatosensory processing, and are somatotopically organized according to a body plan (Penfield & Boldrey, 1937). Additional investigations into somatotopic mapping in relation to the limbs in the peripheral nervous system and SI in central nervous system have further born out the importance of this body-based organization (Wall & Dubner, 1972). Understanding the nature of the sensorimotor cortex‟s structure and function has broad implications not only for human development, but also motor learning (Taubert et al., 2011) and clinical applications in structural plasticity in Parkinson‟s disease (Sehm et al., 2014), among others. The aim of the present thesis is to identify functionally meaningful subregions within the sensorimotor cortex via parcellation analysis. Previously, cerebral subregions were identified in postmortem brains by invasive procedures based on histological features (Brodmann, 1909; Vogt. & Vogt., 1919; Economo, 1926; Sanides, 1970). One widely used atlas is based on Brodmann areas (BA). Brodmann divided human brains into several areas based on the visually inspected cytoarchitecture of the cortex as seen under a microscope (Brodmann, 1909). In this atlas, BA 4, BA 3, BA 1 and BA 2 together constitute the sensorimotor cortex (Vogt. & Vogt., 1919; Geyer et al., 1999; Geyer et al., 2000). However, BAs are incapable of delineating the somatotopic detail reflected in other research (Blankenburg et al., 2003). And, although invasive approaches have proven reliable in the discovery of functional parcellation in the past, such approaches are marked by their irreversibility which, according to ethical standards, makes them unsuitable for scientific inquiry. Therefore, it is necessary to develop non-invasive approaches to parcellate functional brain regions. In the present study, a non-invasive and task-free approach to parcellate the sensorimotor cortex with resting-state fMRI was developed. This approach used functional connectivity patterns of brain areas in order to delineate functional subregions as connectivity-based parcellations (Wig et al., 2014). We selected two adjacent BAs (BA 3 and BA 4) from a standard template to cover the area along the central sulcus (Eickhoff et al., 2005). Then subregions within this area were generated using resting-state fMRI data. These subregions were organized somatotopically from medial-dorsal to ventral-lateral (corresponding roughly to the face, hand and foot regions, respectively) by comparing them with the activity maps obtained by using independent motor tasks. Interestingly, resting-state parcellation map demonstrated higher correspondence to the task-based divisions after individuals had performed motor tasks. We also observed higher functional correlations between the hand area and the foot and tongue area, respectively, than between the foot and tongue regions. The functional relevance of those subregions indicates the feasibility of a wide range of potential applications to brain mapping (Nebel et al., 2014). In sum, the present thesis provides an investigation of functional network, functional structure, and properties of the sensorimotor cortex by state-of-art neuroimaging technology. The methodology and the results of the thesis hope to carry on the future research of the sensorimotor system.

Thesis (Ph. D.)--University of California, San Diego, 2008. / Title from first page of PDF file (viewed September 24, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 133-135).

Thesis (Ph. D.)--University of Washington, 2002. / Vita. Includes bibliographical references (leaves 102-125).

The sensorimotor cortex is a brain region comprising the primary motor cortex (MI) and the primary somatosensory (SI) cortex. In humans, investigation into these regions suggests that MI and SI are involved in the modulation and control of motor and somatosensory processing, and are somatotopically organized according to a body plan (Penfield & Boldrey, 1937). Additional investigations into somatotopic mapping in relation to the limbs in the peripheral nervous system and SI in central nervous system have further born out the importance of this body-based organization (Wall & Dubner, 1972). Understanding the nature of the sensorimotor cortex‟s structure and function has broad implications not only for human development, but also motor learning (Taubert et al., 2011) and clinical applications in structural plasticity in Parkinson‟s disease (Sehm et al., 2014), among others. The aim of the present thesis is to identify functionally meaningful subregions within the sensorimotor cortex via parcellation analysis. Previously, cerebral subregions were identified in postmortem brains by invasive procedures based on histological features (Brodmann, 1909; Vogt. & Vogt., 1919; Economo, 1926; Sanides, 1970). One widely used atlas is based on Brodmann areas (BA). Brodmann divided human brains into several areas based on the visually inspected cytoarchitecture of the cortex as seen under a microscope (Brodmann, 1909). In this atlas, BA 4, BA 3, BA 1 and BA 2 together constitute the sensorimotor cortex (Vogt. & Vogt., 1919; Geyer et al., 1999; Geyer et al., 2000). However, BAs are incapable of delineating the somatotopic detail reflected in other research (Blankenburg et al., 2003). And, although invasive approaches have proven reliable in the discovery of functional parcellation in the past, such approaches are marked by their irreversibility which, according to ethical standards, makes them unsuitable for scientific inquiry. Therefore, it is necessary to develop non-invasive approaches to parcellate functional brain regions. In the present study, a non-invasive and task-free approach to parcellate the sensorimotor cortex with resting-state fMRI was developed. This approach used functional connectivity patterns of brain areas in order to delineate functional subregions as connectivity-based parcellations (Wig et al., 2014). We selected two adjacent BAs (BA 3 and BA 4) from a standard template to cover the area along the central sulcus (Eickhoff et al., 2005). Then subregions within this area were generated using resting-state fMRI data. These subregions were organized somatotopically from medial-dorsal to ventral-lateral (corresponding roughly to the face, hand and foot regions, respectively) by comparing them with the activity maps obtained by using independent motor tasks. Interestingly, resting-state parcellation map demonstrated higher correspondence to the task-based divisions after individuals had performed motor tasks. We also observed higher functional correlations between the hand area and the foot and tongue area, respectively, than between the foot and tongue regions. The functional relevance of those subregions indicates the feasibility of a wide range of potential applications to brain mapping (Nebel et al., 2014). In sum, the present thesis provides an investigation of functional network, functional structure, and properties of the sensorimotor cortex by state-of-art neuroimaging technology. The methodology and the results of the thesis hope to carry on the future research of the sensorimotor system.

[Truncated abstract] The goal of this research was to investigate some of the ways that neurons located in the primary motor cortex (MI) code for skilled movement. The task-related and temporally correlated spike activity that occurred during the performance of a goal-directed reaching and retrieval task invloving multiple motion elements and limbs was evaluated in cats. The contributions made by different neuronal subtypes loctaed in MI (which were identified based upon extracellular spiking features0 to the coding of movement was also investigated. Spike activity was simulateously recorded from microelectrodes that were chronically implanted into the motor cortex of both cerebral hemispheres. Task-related neurons modulated their activity during the reaching and retrieval movements of one forelimb, or the postural reactions of the contralateral forelimb and ipsilateral hindlimb. Spike durations and baseline firing rates of neurons were used to distinguish between putative excitatory (Regular Spiking; RS) and inhibitory (Fast Spiking; FS) neurons in the cortex. Frame by frame video analysis of the task was used to subdivide each task trial into stages (e.g. premovement, reach, withdraw and feed) and relate modulations in neural activity to the individual task stages. Task-related neurons were classified as either narrowly tuned or broadly tuned depending on whether their activity modulated during a single task stage or more than one stage respectively. Recordings were made from 163 task-related neurons, and temporal correlations in the spike activity of simultaneously recorded neurons were identified using shuffle corrected cross-correlograms on 662 different neuronal pairs.... The results of this research suggest that temporally correlated activity may reflect the activation of intracortical and callosal connections between a variety of efferent zones involved in task performance, playing a role in the coordination of muscles and limbs during motor tasks. The differences in the patterns of task-related activity, and in the incidence of significant neuronal interactions that were observed between the RS and FS neuronal populations implies that they make different contributions to the coding of movement in MI.

Thèse de doctorat présentée en vue de l'obtention du doctorat en psychologie - recherche intervention, option neuropsychologie clinique (Ph.D) / Les oscillations endogènes cérébrales sont associées à des fonctions cognitives spécifiques et jouent un rôle important dans la communication entre les différentes régions corticales et sous-corticales. Les rythmes alpha (8-12 Hz) et bêta (13-30 Hz) ont été observés de façon dominante dans les aires sensorimotrices, avec des moyennes de fréquence autour de 10 et 20 Hz, et jouent un rôle dans les fonctions motrices. Ces oscillations cérébrales peuvent être entrainées par une stimulation externe, notamment par la stimulation électrique transcrânienne par courant alternatif (SEtCA). Ainsi, la SEtCA de 10 et 20 Hz a un effet sur certaines mesures physiologiques comme l’excitabilité corticospinale et la puissance des oscillations via la stimulation magnétique transcrânienne (SMT) et l’électroencéphalogramme (EEG), respectivement. Toutefois, les effets post-stimulation sont variables et parfois incohérents. De plus, à ce jour, aucune étude n’a mesuré les effets physiologiques d’une stimulation bilatérale sensorimotrice tant sur l’activité locale que sur l’interaction entre les deux aires sensorimotrices. Les articles composant le présent ouvrage visent à explorer les effets post-stimulation de deux fréquences de stimulation, soit 10 Hz et 20 Hz, sur les régions sensorimotrices à l’aide d’un montage SEtCA bilatéral. Ce travail de recherche s’est effectué à travers une revue de la littérature ainsi que deux études avec des paramètres méthodologiques relativement similaires, mais avec des mesures différentes et complémentaires de SMT et d’EEG. L’article 1 sert d’assise à la pertinence de l’évaluation de la connectivité entre le cortex moteur et les différentes aires du cerveau. Cet excursus recense et décrit les différents protocoles de stimulation magnétique pairée qui ont été développés au cours des dernières années afin d’évaluer la connectivité effective entre les aires sensorimotrices du cerveau. L’article 2 montre que la SEtCA bilatérale à 10 Hz a permis de réduire l’excitabilité corticospinale via la SMT après la stimulation. La fréquence bêta de 20 Hz n’a cependant mené à aucun changement. De plus, la SEtCA n’a pas modulé de façon significative les mesures d’interaction entre les régions sensorimotrices, telles l’inhibition interhémisphérique et les mouvements miroirs physiologiques. Dans l’article 3, les résultats démontrent que la SEtCA bilatérale à 10 et 20 Hz appliquée sur les aires sensorimotrices peut modifier la puissance des oscillations alpha et bêta après la stimulation. Notons que les résultats étaient associés à une variabilité interindividuelle qui est également rapportée dans la littérature. Ces résultats peuvent avoir des implications dans la conception de protocoles visant à induire des changements persistants dans l'activité cérébrale. / Endogenous brain oscillations are associated with specific cognitive functions and are known to have an important role in regimenting communication between cortical and subcortical areas. Alpha (8-12 Hz) and beta (13-30 Hz) rhythms have been observed predominantly in sensorimotor areas, with averages around 10 and 20 Hz, and are believed to play a role in motor functions. These cerebral oscillations can be entrained by external stimulation, in particular by transcranial alternating current stimulation (tACS). Thus, tACS has shown an impact on certain physiological measures such as corticospinal excitability and the power of oscillations via transcranial magnetic stimulation (TMS) and electroencephalogram (EEG), respectively. However, the after-effects are variable and incoherent. In addition, to date no study has measured the physiological effects of a bilateral sensorimotor stimulation montage on both local activity and the interaction between the two sensorimotor areas. Thus, the studies included in the present thesis aim to explore the after-effects of two stimulation frequencies, 10 Hz and 20 Hz, on sensorimotor regions using a bilateral montage. This research was carried out through a review of the literature as well as two methodological studies with relatively similar parameters, but using different and complementary measures of TMS and EEG. Article 1 provides a basis for the relevance of assessing the connectivity between the motor cortex and different areas of the brain. This excursus identifies and describes the different paired magnetic stimulation protocols that have been developed in recent years to assess the effective connectivity between sensorimotor areas of the brain. Study 2 shows that bilateral 10 Hz tACS significantly reduced corticospinal excitability via TMS after stimulation. However, the 20 Hz frequency did not lead to any change. In addition, tACS did not significantly modulate measures of interaction between sensorimotor regions, such as interhemispheric inhibition and physiological mirror movements. In study 3, the results failed to demonstrate reliably that bilateral tACS at 10 and 20 Hz administered over sensorimotor areas could modulate offline alpha and beta oscillations power at the stimulation site. Note that the results were associated with inter-individual variability, which is also reported in the literature. These findings may have implications for the design and implementation of future protocols aiming to induce sustained changes in brain activity.