Dimitra Kiakou

Quantifying pathway perturbations based on gene network rewiring in sepsis progression toward death or survival

Dimitra Kiakou, Margarita Zachariou, Marilena M. Bourdakou, Theodoros Kyprianou et autres

Introduction: Gene co-expression networks are crucial for understanding cellular communication; however, their dynamics can vary significantly across different conditions and disease states. In sepsis, a life-threatening, dysregulated response to infection, molecular interactions can adversely affect patient outcomes. Disruptions in gene interactions can …

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The Arrhythmic Brain: Atrial Fibrillation as a Model of Interoceptive Overload

ASLI AKDENIZ, Dimitra Kiakou, Karsten Mueller, Sofie Valk et autres

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Predictive Models for Motor Outcomes From Deep Brain Stimulation in Parkinson's Disease: A Systematic Review

Maya Wilde, Dimitra Kiakou, Eduard Bakštein, Pavel Filip et autres

Deep brain stimulation (DBS) is an effective treatment for Parkinson's disease, but the extent of improvement in motor symptoms varies. A tool which accurately predicts patient outcomes based on data available pre-surgery would be useful for clinical decision-making and patient expectation management. …

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Author response for "Predictive models for motor outcomes from deep brain stimulation in Parkinson’s disease: a systematic review"

Maya Wilde, Dimitra Kiakou, Eduard Bakštein, Pavel Filip et autres

Author response for "Predictive models for motor outcomes from deep brain stimulation in Parkinson’s disease: a systematic review"

Maya Wilde, Dimitra Kiakou, Eduard Bakštein, Pavel Filip et autres

Author response for "Predictive models for motor outcomes from deep brain stimulation in Parkinson’s disease: a systematic review"

Maya Wilde, Dimitra Kiakou, Eduard Bakštein, Pavel Filip et autres

Predictive models for motor outcomes from deep brain stimulation in Parkinson's disease: a systematic review

Maya Wilde, Dimitra Kiakou, Eduard Bakštein, Pavel Filip et autres

This is a preprint of an unpublished manuscript. Abstract Background Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease, but the extent of improvement in motor symptoms is variable. A tool which accurately predicts patient outcomes based on information available …

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Predictive models for motor outcomes from deep brain stimulation in Parkinson's disease: a systematic review

Maya Wilde, Dimitra Kiakou, Eduard Bakštein, Pavel Filip et autres

This is a preprint of an unpublished manuscript. Abstract Background Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease, but the extent of improvement in motor symptoms is variable. A tool which accurately predicts patient outcomes based on information available …

cz, hr (code pays fourni par la source)

Classification of Functional Brain Patterns Elicited by Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease

Dimitra Kiakou, Karsten Mueller, Pavel Filip, Andrej Lasica et autres

Despite the remarkable success of deep brain stimulation (DBS) in alleviating Parkinson's disease (PD) symptoms, complexities arising from inherent inter-individual variability and the vast array of available methodologies for functional brain imaging data processing and interpretation have resulted in substantial heterogeneity across …

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Precision of post-operative localization of deep brain stimulation electrodes

Andrej Lasica, Pavel Filip, Kristína Burdová, Josef Mana et autres

Tools for post-operative localization of deep brain stimulation (DBS) electrodes may be of major benefit in the evaluation of the stimulation area. However, little is known about their precision. This study compares 3 different software packages used for DBS electrode localization. T1-weighted …

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Sweet spot for resting-state functional MRI effect of deep brain stimulation in dystonia lies in the lower pallidal area

Pavel Filip, Andrej Lasica, Dimitra Kiakou, Karsten Mueller et autres

INTRODUCTION: Deep brain stimulation (DBS) of the internal globus pallidus (GPi) is a well-established, effective treatment for dystonia. Substantial variability of therapeutic success has been the one of the drivers of an ongoing debate about proper stimulation site and settings, with several …

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Boostering diagnosis of frontotemporal lobar degeneration with AI-driven neuroimaging – A systematic review and meta-analysis

Qiong Wu, Dimitra Kiakou, Karsten Mueller, Wolfgang Köhler et autres

• First meta -analysis assessing diagnostic efficacy of neuroimaging-based AI algorithms to identify FTLD and its subtypes. • Effects of various neuroimaging modalities and AI/ML algorithms on diagnostic performance were evaluated. • Meta-analysis includes 75 articles with 20,601 subjects, including 8,051 FTLD …

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