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Der aktuelle demografische Wandel in Deutschland zeigt eine erhöhte Lebenserwartung und damit einen Anstieg an altersassoziierten Erkrankungen wie dem Schlaganfall. Eine mögliche Folge ist die Armparese, welche eine gravierende Behinderung bei der Ausführung alltäglicher Handlungen darstellt. Dadurch kommt der motorischen Rehabilitation mit dem Ziel der Wiederherstellung der Alltagstauglichkeit eine besonders wichtige Rolle zu.
Unter zahlreichen Therapiekonzepten ist für das Arm-Fähigkeits-Training (AFT), welches einzeln verschiedene sensomotorische Armfähigkeiten anspricht und das motorische Lernen induziert, eine gute Wirksamkeit belegt.
In Studien konnte gezeigt werden, dass eine nicht-invasive Hirnstimulation in Form einer repetitiven transkraniellen Magnetstimulation (rTMS), genauer der intermittierenden Theta-Burst-Stimulation (iTBS), vorübergehend die lokal kortikale Erregbarkeit des stimulierten Areals erhöhen (Huang et al., 2005) und dadurch gegebenenfalls auch das nachfolgende trainingsinduzierte Lernen beeinflussen kann. Das Wissen über mögliche „Priming“-Effekte von iTBS auf das motorische Lernen bei Gesunden kann helfen, zielgerichtete therapeutische Anwendungen für Patienten nach einem Schlaganfall zu entwickeln.
Ziel dieser Untersuchung war es festzustellen, ob das exzitatorische „Priming“ mit iTBS über dem primären motorischen Kortex (M1) oder dem primären somatosensorischen Kortex (S1) unmittelbar vor einer täglichen Trainingseinheit mit AFT (über vier Tage) für den linken Arm bei gesunden rechtshändigen Probanden die sensomotorische Lerndynamik verbessern kann.
Zu diesem Zweck wurde ein Training des linken, nicht-dominanten Arms von 18 jungen und gesunden Probanden mithilfe von acht unterschiedlichen motorischen Aufgaben (AFT) einmal pro Tag für insgesamt fünf Tage durchgeführt. Mit Ausnahme des ersten Tages (Baseline) erfolgte das Training nach der Applikation einer exzitatorischen Form der repetitiven transkraniellen Magnetstimulation (iTBS). Die Stimulation wurde je nach randomisierter Gruppenzuordnung entweder über M1 oder S1 rechts oder als Sham-Stimulation, um einen möglichen Placebo-Effekt auszuschließen, über M1 rechts durchgeführt.
Die Hauptkomponentenanalyse der Daten zum motorischen Verhalten ergab acht
unabhängige motorische Komponenten, die den acht trainierten Aufgaben entsprachen. AFT induzierte motorisches Lernen über alle Fähigkeiten hinweg mit einem Generalisationseffekt auf eine nicht-trainierte Aufgabe der Fingergeschicklichkeitm(Nine-Hole-Peg-Test,ccNHPT).
Probanden, die iTBS (entweder über M1 oder S1) erhielten, zeigten im Vergleich zur Sham-Stimulation sowohl eine bessere Leistung bei den AFT-Aufgaben während der Trainingsdauer als auch eine größere Verbesserung der nicht-trainierten Fingergeschicklichkeitsaufgabe (NHPT) für den trainierten linken Arm nach Trainingsende.
Daraus resultiert, dass die exzitatorische repetitive transkranielle Magnetstimulation in Form von iTBS über M1 oder S1 das motorische Lernen über verschiedene sensomotorische Fähigkeiten hinweg verbessern kann.
Auch wenn die verstärkenden Effekte eines exzitatorischen „Priming“ absolut gesehen klein waren, so geben sie dennoch Grund zur Annahme, dass darin auch ein therapeutisches Potenzial für die Armrehabilitation nach Schlaganfall liegt. Ob das so ist, wäre jedoch mit geeigneten klinischen Studien zu untersuchen.
Die Ergebnisse des Promotionsvorhabens wurden in einer Peer-Review-Zeitschrift publiziert (Platz et al., 2018a).
Noninvasive Modulation of Cognition in Older Adults – Neural Correlates and Behavioral Outcomes
(2022)
Background: The worldwide population will grow older in the upcoming years. Aging, even in the absence of pathological processes, is associated with decline in cognitive functioning. Age-related cognitive decline is not a uniform process affecting every function in the same way. Research should thus examine specific functions, such as episodic memory or executive functions differentially, especially in older samples. Neural correlates of these functions are well characterized in young adults. However, research on functional and structural neural substrates underlying specific cognitive functions in older adults is scarce, but needed for example to identify targets for noninvasive interventions against cognitive decline. Current advances in this field point towards the effectiveness of combined noninvasive interventions of cognitive training and transcranial direct current stimulation (tDCS). So far, evidence regarding such combined interventions in older adults is inconclusive and neural mechanisms of successful interventions are still unclear. This line of research could advance the development of noninvasive methods to modulate cognitive functions and therefore address the unmet need for treatment options against age-related cognitive decline.
Aims: The main aims of the present thesis were (i) to characterize functional and structural neural network correlates of two cognitive functions with high relevance for daily living, namely working memory updating and value-based decision making, (ii) to map out interventions of combined cognitive training and tDCS to modulate these cognitive functions in healthy older adults and adults with prodromal AD and (iii) to assess behavioral and neural outcomes of combined cognitive training (of either executive functions or visuo-spatial memory) and tDCS interventions.
Methods: In order to address these aims, the present thesis includes five papers. Paper I assessed functional and structural neural correlates of working memory updating and value-based decision-making performance in healthy older adults using functional magnetic resonance imaging and diffusion tensor imaging. Papers II and III comprise study protocols of a three-week cognitive training of working memory updating and value-based decision-making abilities with concurrent tDCS over the left dorsolateral prefrontal cortex in healthy older adults and adults with prodromal AD. Paper IV used mixed-model analysis to compute behavioral outcomes of this combined intervention in healthy older adults, including outcome measures of the trained tasks, measures of transfer to untrained tasks and assessment of long-term effects at four weeks and half a year after the intervention. In paper V neural alterations after cognitive training of visuo-spatial memory and active stimulation compared to the training and sham (placebo) stimulation were assessed in older adults using measures of functional network centrality and diffusion tensor imaging-derived measures of grey matter microstructure.
Results: Analyses revealed distinct functional and structural connectivity correlates of performance on the two cognitive tasks assessing working memory updating and value-based decision-making (paper I). Moreover, results showed a combined contribution of a specific white matter pathway (cingulum bundle) and frontoparietal functional connectivity to working memory updating performance, thereby providing information on possible network targets for modulation of working memory updating and value-based decision-making. The combined modulatory intervention of cognitive training and tDCS (papers II and IV) did not demonstrate group differences between concurrent active tDCS over sham tDCS in the trained tasks. However, analysis of a working memory transfer task revealed a beneficial effect of training and active tDCS over training and sham tDCS at post intervention and follow-up. Findings from paper V showed reduced functional network centrality after visuo-spatial memory training and active tDCS compared to training and sham tDCS in the stimulated brain area and its contralateral homologue. Additionally, after the training, measures of grey matter microstructural plasticity in the stimulated brain area were associated with beneficial training outcomes for the active but not the sham stimulation group.
Conclusion: Taken together, cognitive performance, functional and structural networks as well as the possibility of their modulation through combined cognitive training and tDCS interventions were investigated in older adults with and without cognitive impairment. The present thesis therefore contributes to the field of noninvasive neuromodulation in older adults by characterizing distinct neural correlates of two age-sensitive executive functions, which may be altered through modulatory interventions. Moreover, the present work shows that cognitive training with concurrent tDCS holds the potential to elicit transfer effects to untrained tasks and further may evoke neural plasticity on the functional and microstructural level. This work thus promotes the development of modulatory interventions against age-associated cognitive decline and holds promising implications for translation to clinical application.
Brain aging even in healthy older adults is characterized by a decline in cognitive functions including memory, learning and attention. Among others, memory is one of the major cognitive functions affected by aging. Understanding the mechanisms underlying age-related memory decline may help pave the road for novel treatment strategies. Here, we tried to elucidate the neural correlates associated with memory decline using structural and functional neuroimaging and neuromodulation with transcranial direct current stimulation (tDCS).
Over the course of three studies, we investigated 1) the influence of white matter integrity and grey matter volume on memory performance in healthy older adults, 2) the role of functional coupling within the memory network in predicting memory performance and the impact of tDCS in modulating retrieval performance in healthy older adults, 3) the effect of tDCS over the sensorimotor cortex on cognitive performance in young adults.
MRI was used to study associations of cognitive performance with white matter integrity and grey matter volume, and examine their causal relationship in the course of aging. White matter integrity was assessed by acquiring diffusion tensor imaging (DTI) and performing deterministic tractography based on constrained spherical deconvolution. Grey matter volume was estimated using fully automated segmentation. Both white matter integrity and grey matter volume were correlated with behavioral data of a verbal episodic memory task. Percentage of correct answers at retrieval was used to measure memory performance (Manuscript 1). In addition, anodal tDCS (atDCS) (1 mA, 20 min) was applied over CP5 (left temporoparietal cortex) to modulate memory formation in healthy older adults. Participants underwent resting-state fMRI before the stimulation. Functional connectivity analysis was performed to determine whether functional coupling within the memory network predicted initial memory performance, and to examine its association to tDCS-induced enhancement effect (Manuscript 2). Finally, atDCS (1 mA, 20 min) was applied over C3 (left sensorimotor cortex) to explore the effect of tDCS over the sensorimotor cortex on cognitive performance in young adults. During the stimulation, participants performed three tasks; gestural task, attentional load task and simple reaction time task (Manuscript 3).
Results showed that volumes of the left dentate gyrus (DG) and tractography-based fractional anisotropy (FA) of individual fornix pathways were positively related to memory retrieval in older adults. Brain-behavior associations were observed for correct rejections rather than hits of memory performance, indicating specificity of memory network functioning for detecting false associations. Thus, the data suggested a particular role of neural integrity that promotes successful memory retrieval in older adults. Subsequent mediation analysis showed that left DG volume mediated the effect of fornix FA on memory performance (48%), corrected for age, revealing a crucial role of hippocampal pathway microstructure in modulating memory performance in older adults (Manuscript 1). tDCS results showed that atDCS led to better retrieval performance and increasing learning curves, indicating that brain stimulation can induce plasticity of episodic memory processes in older adults. Combining tDCS and fMRI, hippocampo-temporoparietal functional connectivity was positively associated with initial memory performance in healthy older adults and was positively correlated with the magnitude of individual tDCS-induced enhancement, suggesting that individual tDCS responsiveness may be determined by intrinsic network coupling (Manuscript 2). Finally, our findings suggested that atDCS over left sensorimotor cortex reduced reaction times in the gestural-verbal integration task, specifically for incongruent pairs of gestures and verbal expressions, indicating the role of sensorimotor cortex in gestural-verbal integration in young adults (Manuscript 3).
The results of all three studies may help to elucidate age-related structural deterioration and functional coupling network underlying cognitive processes in healthy adults. Furthermore, these studies emphasized the importance of interventions like tDCS in modulating cognitive performance, specifically episodic verbal memory and gestural-verbal integration. By unveiling the specific role of brain structures and functional network coupling as well as the role of tDCS in modulating cognitive performance, our results contribute to a better understanding of brain-behavior associations, and may help to develop clinical interventional approaches, tailored for specific cognitive functions in aging.