Altered resting‐state connectivity in Huntington's Disease

Werner, Cornelius J.; Dogan, Imis; Saß, Christian; Mirzazade, Shahram; Schiefer, Johannes; Shah, N. Jon; Schulz, Jörg B.; Reetz, Kathrin

doi:10.1002/hbm.22351

Cited by 87 publications

(111 citation statements)

References 46 publications

(64 reference statements)

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“…Similarly to Werner et al [7], we used the rs-fMRI images of the whole group of participants as input for MELODIC. A high-pass temporal filtering cutoff of 100 s was applied.…”

Section: Ica-analysismentioning

confidence: 99%

“…To assess the effect of head motion, we performed analyses similar to those reported by Werner et al [7]. Absolute and relative displacement values were obtained using McFLIRT tool in FSL.…”

Section: Motion Analysismentioning

confidence: 99%

“…This technique measures correlations between spontaneous fluctuations in the blood oxygenation leveldependent (BOLD) signal and thus enables the investigation of functional connectivity within the so-called resting-state networks (RSNs) [7].…”

Section: Introductionmentioning

confidence: 99%

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Increased connectivity between sensorimotor and attentional areas in Parkinson’s disease

et al. 2015

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“…Similarly to Werner et al [7], we used the rs-fMRI images of the whole group of participants as input for MELODIC. A high-pass temporal filtering cutoff of 100 s was applied.…”

Section: Ica-analysismentioning

confidence: 99%

Section: Motion Analysismentioning

confidence: 99%

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Increased connectivity between sensorimotor and attentional areas in Parkinson’s disease

et al. 2015

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“…En la enfermedad de Huntington se ha demostrado una profunda alteración de la conectividad intrínseca de las RER principalmente de la RMP (63).…”

Section: Relación Entre Las Rer Y Los Estados Patológicosunclassified

Redes en estado de reposo: revisión y aplicaciones de un concepto en evolución

Arrubla

2016

iatreia

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RESUMENEl concepto de redes en estado de reposo se refiere a fluctuaciones coherentes de la actividad cerebral, presentes en forma de redes que aparecen cuando los sujetos no están ocupados en alguna actividad o proceso cognitivo superior. Estas redes han sido identificadas en estudios de resonancia magnética funcional y reflejan un alto nivel de conectividad del cerebro humano. El concepto ha crecido en notoriedad hasta tal punto que ahora es casi rutina entre los grupos que usan resonancia magnética en sus investigaciones. Se ha estudiado la actividad de las redes en estado de reposo en el envejecimiento, el deterioro cognitivo leve y diversas enfermedades neurológicas y psiquiátricas. Además, se ha demostrado su existencia en otros primates y en ratas. En esta revisión se presenta una visión general del concepto, así como de las herramientas para la adquisición y el análisis. Igualmente se discuten algunas investigaciones relevantes sobre el tema y su impacto en diversas entidades clínicas. PALABRAS CLAVE Análisis de Componentes Independientes; Estado de Reposo SUMMARY Resting state networks: review and applications of an evolving conceptThe concept of resting state networks refers to coherent fluctuations of brain activity, which appear when the subjects are not engaged in any task or superior cognitive process. Such networks have been identified in functional magnetic resonance studies and reflect a high connectivity level of the human brain. The concept has gained notoriety and has become routine among groups using functional magnetic resonance in their studies. The activity of the resting state networks has been studied in ageing, mild cognitive impairment and several neurological and psychiatric diseases. Additionally, its existence has been proved in non-human primates and rats. A general overview of the concept is presented here, as well as the acquisition

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“…As a result, extensive research has been performed supporting this notion of dysfunctional connectivity in numerous ailments such as schizophrenia [42]- [46], major depressive disorder (MDD) [47]- [50], attention-deficit hyperactivity disorder (ADHD) [51]- [53], post-traumatic stress disorder (PTSD) [54]- [56], obsessive-compulsive disorder (OCD) [57]- [60], Alzheimer's disease [61]- [63], Huntington's disease [64]- [66], Parkinson's disease [67]- [70], autism spectrum disorders [71]- [74], and insomnia [75] [76].…”

Section: Non-thermal Modalitiesmentioning

confidence: 99%

Stimulation Therapies and the Relevance of Fractal Dynamics to the Treatment of Diseases

Cheng¹,

Law²,

Kwan³

et al. 2014

OJRM

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This paper provides an overview of the conventional therapeutic stimulation methodologies and proposes a more effective stimulation approach based on a consideration of the inherently fractal nature of normal biological dynamics. There are varying forms of physiological stimulations including the use of electrical currents, electromagnetic fields, temperature change, ultrasound, light and so forth. These stimulation therapies can be categorized into three main modalities: electrical stimulation modalities, thermal modalities, and non-thermal modalities. Electrical stimulation modalities include therapeutic techniques where electrical current is directly applied to the body of treated subject. Direct application of electrical current to the brain also falls under this category. Thermal modalities consist of stimulations that induce temperature change on the body for therapeutic effects without the direct transfer of electrical current. Non-thermal modalities functions through energy transfer without directly applying electrical current and without the effects of temperature change. A fourth miscellaneous category for stimulation techniques consists of the stimulation effects of music along with physical stimulation as in massage therapy. Common to most of these therapeutic strategies is that the stimulation is delivered at certain fixed periods or frequencies. We introduce some rudiments of fractal dynamics, and the notions of self-similarity, scale-invariance, and long-range correlation or memory in the dynamics of a system. We present evidence that fractal dynamics is commonly observed in healthy physiological systems while unhealthy systems are shown to veer away from fractal dynamics towards periodic or random motion. This difference in dynamics can be observed in many biological signals such as in neural activity, heart rate variations, and breathing patterns. We propose that an optimal stimulation technique should thus be one that encourages an unhealthy, non-fractal pathological system * Corresponding author. W. Cheng et al. 74towards a healthy, fractal dynamic. Given the ubiquity of fractality in healthy biological dynamics, we argue that a fractal pattern of stimulation is a more optimal approach to functional restoration than the widely used conventional periodic stimulation, which may further consolidate the existing pathological dynamics.

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Altered resting‐state connectivity in Huntington's Disease

Cited by 87 publications

References 46 publications

Increased connectivity between sensorimotor and attentional areas in Parkinson’s disease

Increased connectivity between sensorimotor and attentional areas in Parkinson’s disease

Redes en estado de reposo: revisión y aplicaciones de un concepto en evolución

Stimulation Therapies and the Relevance of Fractal Dynamics to the Treatment of Diseases

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