User profiles for Stefan Dukic
Dukic StefanUniversity Medical Centre Utrecht Verified email at umcutrecht.nl Cited by 418 |
Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis is a devastating disease characterized primarily by motor system
degeneration, with clinical evidence of cognitive and behavioural change in up to 50% of …
degeneration, with clinical evidence of cognitive and behavioural change in up to 50% of …
Patterned functional network disruption in amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease primarily
affecting motor function, with additional evidence of extensive nonmotor involvement. Despite …
affecting motor function, with additional evidence of extensive nonmotor involvement. Despite …
Characteristic increases in EEG connectivity correlate with changes of structural MRI in amyotrophic lateral sclerosis
Amyotrophic lateral sclerosis (ALS) is a terminal progressive adult-onset neurodegeneration
of the motor system. Although originally considered a pure motor degeneration, there is …
of the motor system. Although originally considered a pure motor degeneration, there is …
Cognitive reserve in amyotrophic lateral sclerosis (ALS): a population-based longitudinal study
Background Amyotrophic lateral sclerosis (ALS) is often associated with cognitive and/or
behavioural impairment. Cognitive reserve (CR) may play a protective role in offsetting …
behavioural impairment. Cognitive reserve (CR) may play a protective role in offsetting …
Functional network dynamics revealed by EEG microstates reflect cognitive decline in amyotrophic lateral sclerosis
Recent electroencephalography (EEG) studies have shown that patterns of brain activity
can be used to differentiate amyotrophic lateral sclerosis (ALS) and control groups. These …
can be used to differentiate amyotrophic lateral sclerosis (ALS) and control groups. These …
Electroencephalographic β‐band oscillations in the sensorimotor network reflect motor symptom severity in amyotrophic lateral sclerosis
Background and purpose Resting‐state electroencephalography (EEG) holds promise for
assessing brain networks in amyotrophic lateral sclerosis (ALS). We investigated whether …
assessing brain networks in amyotrophic lateral sclerosis (ALS). We investigated whether …
[HTML][HTML] Cognitive network hyperactivation and motor cortex decline correlate with ALS prognosis
We aimed to quantitatively characterize progressive brain network disruption in Amyotrophic
Lateral Sclerosis (ALS) during cognition using the mismatch negativity (MMN), an …
Lateral Sclerosis (ALS) during cognition using the mismatch negativity (MMN), an …
[HTML][HTML] Dysfunction of attention switching networks in amyotrophic lateral sclerosis
Objective To localise and characterise changes in cognitive networks in Amyotrophic Lateral
Sclerosis (ALS) using source analysis of mismatch negativity (MMN) waveforms. Rationale …
Sclerosis (ALS) using source analysis of mismatch negativity (MMN) waveforms. Rationale …
Cortico-muscular coherence in primary lateral sclerosis reveals abnormal cortical engagement during motor function beyond primary motor areas
Primary lateral sclerosis (PLS) is a slowly progressing disorder, which is characterized primarily
by the degeneration of upper motor neurons (UMNs) in the primary motor area (M1). It is …
by the degeneration of upper motor neurons (UMNs) in the primary motor area (M1). It is …
Estimation of coherence using the median is robust against EEG artefacts
Coherence is a mathematical measure of correlation in the frequency domain, commonly
used to quantify the oscillatory synchrony of bio-signals such as the electroencephalogram (…
used to quantify the oscillatory synchrony of bio-signals such as the electroencephalogram (…