Sensory and motor network dynamics in post-stroke fatigue

Ana María Gómez Carvajal; William De Doncker; Anna Kuppuswamy

Sensory and motor network dynamics in post-stroke fatigue

Ana María Gómez Carvajal
, William De Doncker
, Anna Kuppuswamy

Research output: Knowledge networks › Poster › peer-review

Abstract

Fatigue is one of the most common self-reported symptom after stroke. Around 85% of stroke survivors suffer from post-stroke fatigue (PSF) (De Doncker et al., 2018). PSF has a huge impact on patient’s quality of life (QoL), activities of daily living (ADL), and also interferes with social aspects (Pollock et al., 2014, Vecchio et al., 2017).

Electrophysiological studies of oscillations have shown that fatigue might be linked to interruption of neuronal networks involved in attentional processes (Staub & Bogousslavsky, 2001). Connectivity-based measurements are used to better understand the complexity of neuronal networks.

Graph theory is a mathematical approach to the functional brain architecture. Graph theory measures the clustering coefficient C and the path length (coefficient L) (Vecchio et al., 2017; Bernhardt, Bonilha & Gross, 2015). Small- world (SW) index is the ratio between these two measurements and describes the balance between the local connections and the global integration of a network.

Translated title of the contribution	Dinámica de las redes sensoriales y motoras en la fatiga posterior a una apoplejía
Original language	English (US)
Pages	1
Number of pages	1
State	Published - Sep 10 2020
Event	Queen Square Symposium 2020 - Duration: Sep 10 2020 → Sep 13 2020

Conference

Conference	Queen Square Symposium 2020
Period	9/10/20 → 9/13/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

Neuroscience (miscellaneous)

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https://www.researchgate.net/publication/344416485_Sensory_and_motor_network_dynamics_in_post-stroke_fatigue

Cite this

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title = "Sensory and motor network dynamics in post-stroke fatigue",

abstract = "Fatigue is one of the most common self-reported symptom after stroke. Around 85\% of stroke survivors suffer from post-stroke fatigue (PSF) (De Doncker et al., 2018). PSF has a huge impact on patient{\textquoteright}s quality of life (QoL), activities of daily living (ADL), and also interferes with social aspects (Pollock et al., 2014, Vecchio et al., 2017). Electrophysiological studies of oscillations have shown that fatigue might be linked to interruption of neuronal networks involved in attentional processes (Staub \& Bogousslavsky, 2001). Connectivity-based measurements are used to better understand the complexity of neuronal networks. Graph theory is a mathematical approach to the functional brain architecture. Graph theory measures the clustering coefficient C and the path length (coefficient L) (Vecchio et al., 2017; Bernhardt, Bonilha \& Gross, 2015). Small- world (SW) index is the ratio between these two measurements and describes the balance between the local connections and the global integration of a network.",

author = "\{G{\'o}mez Carvajal\}, \{Ana Mar{\'i}a\} and \{De Doncker\}, William and Anna Kuppuswamy",

year = "2020",

month = sep,

day = "10",

language = "English (US)",

pages = "1",

note = "Queen Square Symposium 2020 ; Conference date: 10-09-2020 Through 13-09-2020",

}

TY - CONF

T1 - Sensory and motor network dynamics in post-stroke fatigue

AU - Gómez Carvajal, Ana María

AU - De Doncker, William

AU - Kuppuswamy, Anna

PY - 2020/9/10

Y1 - 2020/9/10

N2 - Fatigue is one of the most common self-reported symptom after stroke. Around 85% of stroke survivors suffer from post-stroke fatigue (PSF) (De Doncker et al., 2018). PSF has a huge impact on patient’s quality of life (QoL), activities of daily living (ADL), and also interferes with social aspects (Pollock et al., 2014, Vecchio et al., 2017). Electrophysiological studies of oscillations have shown that fatigue might be linked to interruption of neuronal networks involved in attentional processes (Staub & Bogousslavsky, 2001). Connectivity-based measurements are used to better understand the complexity of neuronal networks. Graph theory is a mathematical approach to the functional brain architecture. Graph theory measures the clustering coefficient C and the path length (coefficient L) (Vecchio et al., 2017; Bernhardt, Bonilha & Gross, 2015). Small- world (SW) index is the ratio between these two measurements and describes the balance between the local connections and the global integration of a network.

AB - Fatigue is one of the most common self-reported symptom after stroke. Around 85% of stroke survivors suffer from post-stroke fatigue (PSF) (De Doncker et al., 2018). PSF has a huge impact on patient’s quality of life (QoL), activities of daily living (ADL), and also interferes with social aspects (Pollock et al., 2014, Vecchio et al., 2017). Electrophysiological studies of oscillations have shown that fatigue might be linked to interruption of neuronal networks involved in attentional processes (Staub & Bogousslavsky, 2001). Connectivity-based measurements are used to better understand the complexity of neuronal networks. Graph theory is a mathematical approach to the functional brain architecture. Graph theory measures the clustering coefficient C and the path length (coefficient L) (Vecchio et al., 2017; Bernhardt, Bonilha & Gross, 2015). Small- world (SW) index is the ratio between these two measurements and describes the balance between the local connections and the global integration of a network.

M3 - Poster

SP - 1

T2 - Queen Square Symposium 2020

Y2 - 10 September 2020 through 13 September 2020

ER -

Sensory and motor network dynamics in post-stroke fatigue

Abstract

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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