Behavioral and neural correlates of normal aging effects on motor preparatory mechanisms of speech production and limb movement

Johari, Karim; Ouden, Dirk-Bart den; Behroozmand, Roozbeh

doi:10.1007/s00221-019-05549-4

Cited by 7 publications

(3 citation statements)

References 87 publications

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“…The present paper highlights reports of bradykinesia in clinical studies in patients with dystonia, HD, and ET, as well as in patients with cerebellar diseases, upper motorneuron diseases, MCI, AD, MS, psychiatric disorders, and FMDs. Bradykinesia can also be observed, to some extent, in elderly subjects [54,[179][180][181]. However, the clinical studies that provided evidence of bradykinesia in the above conditions mainly consist of case reports or case series.…”

Section: Discussionmentioning

confidence: 99%

Emerging concepts on bradykinesia in non‐parkinsonian conditions

Paparella

Fasano

Hallett

et al. 2021

Euro J of Neurology

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Background and purpose Bradykinesia is one of the cardinal motor symptoms of Parkinson's disease. However, clinical and experimental studies indicate that bradykinesia may also be observed in various neurological diseases not primarily characterized by parkinsonism. These conditions include hyperkinetic movement disorders, such as dystonia, chorea, and essential tremor. Bradykinesia may also be observed in patients with neurological conditions that are not seen as "movement disorders," including those characterized by the involvement of the cerebellum and corticospinal system, dementia, multiple sclerosis, and psychiatric disorders. Methods We reviewed clinical reports and experimental studies on bradykinesia in non‐parkinsonian conditions and discussed the major findings. Results Bradykinesia is a common motor abnormality in non‐parkinsonian conditions. From a pathophysiological standpoint, bradykinesia in neurological conditions not primarily characterized by parkinsonism may be explained by brain network dysfunction. Conclusion In addition to the pathophysiological implications, the present paper highlights important terminological issues and the need for a new, more accurate, and more widely used definition of bradykinesia in the context of movement disorders and other neurological conditions.

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Section: Discussionmentioning

confidence: 99%

Emerging concepts on bradykinesia in non‐parkinsonian conditions

Paparella

Fasano

Hallett

et al. 2021

Euro J of Neurology

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“…For example, a button press has been used to record endogenous switch time (Miran et al, 2018(Miran et al, , 2020. Unfortunately, a button press may create switchlocked pre-motor planning and muscle artefacts in the data, potentially confounding endogenous switching feature interpretation (Johari et al, 2019;Stephen, 2019).…”

Section: Introductionmentioning

confidence: 99%

EEG alpha and pupil diameter reflect endogenous auditory attention switching and listening effort

Haro

Rao

Quatieria

et al. 2022

Eur J of Neuroscience

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Everyday environments often contain distracting competing talkers and background noise, requiring listeners to focus their attention on one acoustic source and reject others. During this auditory attention task, listeners may naturally interrupt their sustained attention and switch attended sources. The effort required to perform this attention switch has not been well studied in the context of competing continuous speech. In this work, we developed two variants of endogenous attention switching and a sustained attention control.We characterized these three experimental conditions under the context of decoding auditory attention, while simultaneously evaluating listening effort and neural markers of spatial-audio cues. A least-squares, electroencephalography (EEG)-based, attention decoding algorithm was implemented across all conditions. It achieved an accuracy of 69.4% and 64.0% when computed over nonoverlapping 10 and 5-s correlation windows, respectively. Both decoders illustrated smooth transitions in the attended talker prediction through switches at approximately half of the analysis window size (e.g., the mean lag taken across the two switch conditions was 2.2 s when the 5-s correlation window was used). Expended listening effort, as measured by simultaneous EEG and pupillometry, was also a strong indicator of whether the listeners sustained attention or performed an endogenous attention switch (peak pupil diameter measure [p ¼ 0:034] and minimum parietal alpha power measure [p ¼ 0:016]). We additionally found evidence of talker spatial cues in the form of centrotemporal alpha power lateralization (p ¼ 0:0428). These results suggest that listener effort and spatial cues may be promising features to pursue in a decoding context, in addition to speech-based features.

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“…For example, a button press has been used to record endogenous switch time (Miran et al, 2018(Miran et al, , 2020. Unfortunately, a button press may create switch-locked pre-motor planning and muscle artifacts in the data, potentially confounding endogenous switching feature interpretation (Johari et al, 2019;Stephen, 2019).…”

Section: Introductionmentioning

confidence: 99%

EEG Alpha Power and Pupil Diameter Reflect Endogenous Auditory Attention Switching and Listening Effort

Haro

Rao²,

Quatieri

et al. 2021

Preprint

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Auditory attention describes a listeners focus on an acoustic source while they ignore other competing sources that might be present. In an environment with multiple talkers and background noise (i.e. the cocktail party effect), auditory attention can be difficult, requiring the listener to expend measurable cognitive effort. A listener will naturally interrupt sustained attention on a source when switching towards another source during conversation. This change in attention is potentially even more taxing than maintaining sustained attention due to the limits of human working memory, and this additional effort required has not been well studied. In this work, we evaluated an attention decoder algorithm for detecting the change in attention and investigated cognitive effort expended during attentional switching and sustained attention. Two variants of endogenous attention switching were explored: the switches either had in-the-moment decision making or a pre-defined attentional switch time. A least-squares, EEG-based, attention decoding algorithm achieved 64.1% accuracy with a 5-second correlation window and illustrated smooth transitions in the attended talker prediction through switches in sustained attention at approximately half of the analysis window size (2.2 seconds). The expended listening effort, as measured by simultaneous electroencephalography (EEG) and pupillometry, was also a strong indicator of switching. Specifically, centrotemporal alpha power [F(2, 18) = 7.473, P = 0.00434] and mean pupil diameter [F(2, 18) = 9.159, P = 0.0018] were significantly different for trials that contained a switch in comparison to sustained trials. We also found that relative attended and ignored talker locations modulate the EEG alpha topographic response. This alpha lateralization was found to be impacted by the interaction between experimental condition and whether the measure was computed before or after the switch [F(2,18) = 3.227, P = 0.0634]. These results suggest that expended listening effort is a promising feature that should be pursued in a decoding context, in addition to speech and location-based features.

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Behavioral and neural correlates of normal aging effects on motor preparatory mechanisms of speech production and limb movement

Cited by 7 publications

References 87 publications

Emerging concepts on bradykinesia in non‐parkinsonian conditions

Emerging concepts on bradykinesia in non‐parkinsonian conditions

EEG alpha and pupil diameter reflect endogenous auditory attention switching and listening effort

EEG Alpha Power and Pupil Diameter Reflect Endogenous Auditory Attention Switching and Listening Effort

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