Cognitive Impairment in Parkinson’s Disease Is Reflected with Gradual Decrease of EEG Delta Responses during Auditory Discrimination

Güntekin, Bahar; Hanoğlu, Lütfü; Güner, Dilan; Yılmaz, Nesrin Helvacı; Çadırcı, Fadime; Mantar, Nagihan; Aktürk, Tuba; Emek‐Savaş, Derya Durusu; Özer, Feriha; Yener, Görsev; Başar, Erol

doi:10.3389/fpsyg.2018.00170

Cited by 34 publications

(23 citation statements)

References 113 publications

(145 reference statements)

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“…108 Such findings might result from devoting greater attentional resources to perform the oddball auditory paradigms. 107 EEG-ERP studies also implicate reduction of phase locking of slow oscillations (3-7 Hz) in the P3a time range (300-550 ms), 109 lack of alpha-frequency range, 110 and the association between P3a amplitude with both years of PD affliction 11 and frontal dysfunction. 92,94,111 In summary, existing evidence demonstrates that P3a is a sensitive biomarker to identify MCI in patients with PD and can be used as a reliable predictor of the onset and progress of PD.…”

Section: Auditory P3mentioning

confidence: 99%

Auditory Dysfunction in Parkinson's Disease

2020

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A BS TRACT: PD is a progressive and complex neurological disorder with heterogeneous symptomatology. PD is characterized by classical motor features of parkinsonism and nonmotor symptoms and involves extensive regions of the nervous system, various neurotransmitters, and protein aggregates. Extensive evidence supports auditory dysfunction as an additional nonmotor feature of PD. Studies indicate a broad range of auditory impairments in PD, from the peripheral hearing system to the auditory brainstem and cortical areas. For instance, research demonstrates a higher occurrence of hearing loss in early-onset PD and evidence of abnormal auditory evoked potentials, event-related potentials, and habituation to novel stimuli. Electrophysiological data, such as auditory P3a, also is suggested as a sensitive measure of illness duration and severity. Improvement in auditory responses following dopaminergic therapies also indicates the presence of similar neurotransmitters (i.e., glutamate and dopamine) in the auditory system and basal ganglia. Nonetheless, hearing impairments in PD have received little attention in clinical practice so far. This review summarizes evidence of peripheral and central auditory impairments in PD and provides conclusions and directions for future empirical and clinical research.Among neurological disorders, which are the leading cause of disability in the world, Parkinson's disease (PD) shows the highest growth in prevalence, rate of deaths, and disability-adjusted life-years between 1990 and 2015, and it is estimated to double over the next 20 years. 1 The etiology of PD is often unknown and mostly occurs in sporadic form, possibly arising from the association of genetic and environmental risk factors. 2,3 As a progressive disease, PD is characterized by early major death of dopaminergic neurons in the SNpc within the basal ganglia that leads to classical parkinsonian and secondary motor symptoms. 2,4 PD pathology involves extensive regions of the nervous system, various neurotransmitters (e.g., dopaminergic and nondopaminergic neurotransmitters), and protein aggregations other than just Lewy bodies or Lewy neurites (i.e., abnormal aggregation of insoluble α-synuclein protein [SNCA]) 2 that account for a wide range of clinical symptoms and signs observed in PD. 5 Thus, multiple nonmotor symptoms (NMSs) develop throughout the PD progress, some of which precede the motor dysfunction by more than a decade. 2 For instance, fatigue, neuropsychiatric symptoms, autonomic dysfunction, gastrointestinal symptoms, sensory deficits (e.g., visual impairments, 6 olfactory dysfunction, 7 taste disorders, 8 somatosensory abnormalities, 9 and auditory disorders 10,11 ), and sleep problems are within common NMSs in early PD. 2,3 Among sensory dysfunctions as NMSs of PD, somatic sensations, such as pain and paraesthesias, have received ---

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Section: Auditory P3mentioning

confidence: 99%

Auditory Dysfunction in Parkinson's Disease

2020

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“…Here, it is defined as r = β /(1 − α ). The specific value r = 3 has been previously recommended while processing biomedical signals [ 39 ]. Hence, the redundancy parameter r = 3 is selected throughout the analysis in this work.…”

Section: Methodsmentioning

confidence: 99%

“…Coherence analysis of brain activities of the interhemispheric region has been analyzed to study the behavioral changes in PD and healthy control in [ 38 ]. The behavioral changes and analysis of delta responses have been studied using ANOVA in [ 39 ]. In [ 40 ], emotions have been recognized using optimized variational mode decomposition and ELM based feature extraction and classification method.…”

Section: Introductionmentioning

confidence: 99%

Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography

et al. 2020

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Parkinson’s disease (PD) is a severe incurable neurological disorder. It is mostly characterized by non-motor symptoms like fatigue, dementia, anxiety, speech and communication problems, depression, and so on. Electroencephalography (EEG) play a key role in the detection of the true emotional state of a person. Various studies have been proposed for the detection of emotional impairment in PD using filtering, Fourier transforms, wavelet transforms, and non-linear methods. However, these methods require a selection of basis and are confined in terms of accuracy. In this paper, tunable Q wavelet transform (TQWT) is proposed for the classification of emotions in PD and normal controls (NC). EEG signals of six emotional states namely happiness, sadness, fear, anger, surprise, and disgust are studied. Power, entropy, and statistical moments based features are elicited from the highpass and lowpass sub-bands of TQWT. Six features selected by statistical analysis are classified with a k-nearest neighbor, probabilistic neural network, random forest, decision tree, and extreme learning machine. Three performance measures are obtained, maximum mean accuracy, sensitivity, and specificity of 96.16%, 97.59%, and 88.51% for NC and 93.88%, 96.33%, and 81.67% for PD are achieved with a probabilistic neural network. The proposed method proved to be very effective such that it classifies emotions in PD and could be used as a potential tool for diagnosing emotional impairment in hospitals.

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“…Activity in these bands, especially during task performance, was found to differ in people with MCI and cognitively healthy older adults [120,125,[191][192][193][194], and activity in the theta band was found to predict progression to AD [112,116,[195][196][197]. Task-related changes in delta power have also been identified as a potential biomarker of early cognitive decline [122,123,[198][199][200]. Though the role of beta oscillations in MCI is less well-researched, some evidence suggests that beta activity differs in people with MCI and cognitively healthy older adults [119,201,202].…”

Section: Limitations and Future Directionsmentioning

confidence: 99%

Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis

Lejko

Larabi

Herrmann

et al. 2020

JAD

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Background: Mild cognitive impairment (MCI) is a stage between expected age-related cognitive decline and dementia. Dementias have been associated with changes in neural oscillations across the frequency spectrum, including the alpha range. Alpha is the most prominent rhythm in human EEG and is best detected during awake resting state (RS). Though several studies measured alpha power and synchronization in MCI, findings have not yet been integrated. Objective: To consolidate findings on power and synchronization of alpha oscillations across stages of cognitive decline. Methods: We included studies published until January 2020 that compared power or functional connectivity between 1) people with MCI and cognitively healthy older adults (OA) or people with a neurodegenerative dementia, and 2) people with progressive and stable MCI. Random-effects meta-analyses were performed when enough data was available. Results: Sixty-eight studies were included in the review. Global RS alpha power was lower in AD than in MCI (ES = –0.30; 95% CI = –0.51, –0.10; k = 6), and in MCI than in OA (ES = –1.49; 95% CI = –2.69, –0.29; k = 5). However, the latter meta-analysis should be interpreted cautiously due to high heterogeneity. The review showed lower RS alpha power in progressive than in stable MCI, and lower task-related alpha reactivity in MCI than in OA. People with MCI had both lower and higher functional connectivity than OA. Publications lacked consistency in MCI diagnosis and EEG measures. Conclusion: Research indicates that RS alpha power decreases with increasing impairment, and could—combined with measures from other frequency bands—become a biomarker of early cognitive decline.

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Cognitive Impairment in Parkinson’s Disease Is Reflected with Gradual Decrease of EEG Delta Responses during Auditory Discrimination

Cited by 34 publications

References 113 publications

Auditory Dysfunction in Parkinson's Disease

Auditory Dysfunction in Parkinson's Disease

Tunable Q wavelet transform based emotion classification in Parkinson’s disease using Electroencephalography

Alpha Power and Functional Connectivity in Cognitive Decline: A Systematic Review and Meta-Analysis

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