Comparative analysis of the electroencephalogram in patients with Alzheimer's disease, diffuse axonal injury patients and healthy controls using LORETA analysis

Ianof, Jéssica Natuline; Fraga, Francisco J.; Ferreira, Luiz Alves; Ramos, Renato T.; Demario, José Luiz Carlos; Baratho, Regina; Basile, Luis; Nitrini, Ricardo; Anghinah, Renato

doi:10.1590/1980-57642016dn11-020010

Cited by 14 publications

(13 citation statements)

References 52 publications

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“…The frontal lobe is compromised in the moderate stage of Alzheimer's disease. The occipital lobe is compromised during the acute stage of Alzheimer's disease [90]. The brain states that form during the transition from safe to AD have been studied using a variety of entropy approaches.…”

Section: The Signal Complexity Analysis In Eegmentioning

confidence: 99%

A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals

Ouchani

Gharibzadeh

Jamshidi

et al. 2021

BioMed Research International

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This study will concentrate on recent research on EEG signals for Alzheimer’s diagnosis, identifying and comparing key steps of EEG-based Alzheimer’s disease (AD) detection, such as EEG signal acquisition, preprocessing function extraction, and classification methods. Furthermore, highlighting general approaches, variations, and agreement in the use of EEG identified shortcomings and guidelines for multiple experimental stages ranging from demographic characteristics to outcomes monitoring for future research. Two main targets have been defined based on the article’s purpose: (1) discriminative (or detection), i.e., look for differences in EEG-based features across groups, such as MCI, moderate Alzheimer’s disease, extreme Alzheimer’s disease, other forms of dementia, and stable normal elderly controls; and (2) progression determination, i.e., look for correlations between EEG-based features and clinical markers linked to MCI-to-AD conversion and Alzheimer’s disease intensity progression. Limitations mentioned in the reviewed papers were also gathered and explored in this study, with the goal of gaining a better understanding of the problems that need to be addressed in order to advance the use of EEG in Alzheimer’s disease science.

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Section: The Signal Complexity Analysis In Eegmentioning

confidence: 99%

A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals

Ouchani

Gharibzadeh

Jamshidi

et al. 2021

BioMed Research International

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show abstract

“…Nevertheless, this result should be interpreted with caution, as the detection of %PPI impairments on the same electrodes does not directly imply that deficits occur in the same brain structures for both patient groups. While EEG is recorded with high temporal resolution and can be considered a neuroimaging tool, and with some advanced techniques being even able to detecting source localization of brain signals [ 96 , 97 ], it still displays a lower spatial resolution than other techniques such as magnetic resonance imaging (MRI) and positrons emission tomography (PET).…”

Section: Discussionmentioning

confidence: 99%

Early Schizophrenia and Bipolar Disorder Patients Display Reduced Neural Prepulse Inhibition

et al. 2022

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Background: Altered sensorimotor gating has been demonstrated by Prepulse Inhibition (PPI) tests in patients with psychosis. Recent advances in signal processing methods allow assessment of neural PPI through electroencephalogram (EEG) recording during acoustic startle response measures (classic muscular PPI). Simultaneous measurements of muscular (eye-blink) and neural gating phenomena during PPI test may help to better understand sensorial processing dysfunctions in psychosis. In this study, we aimed to assess simultaneously muscular and neural PPI in early bipolar disorder and schizophrenia patients. Method: Participants were recruited from a population-based case-control study of first episode psychosis. PPI was measured using electromyography (EMG) and EEG in pulse alone and prepulse + pulse with intervals of 30, 60, and 120 ms in early bipolar disorder (n = 18) and schizophrenia (n = 11) patients. As control group, 15 socio-economically matched healthy subjects were recruited. All subjects were evaluated with Rating Scale, Hamilton Rating Scale for Depression, and Young Mania Rating Scale questionnaires at recruitment and just before PPI test. Wilcoxon ranked sum tests were used to compare PPI test results between groups. Results: In comparison to healthy participants, neural PPI was significantly reduced in PPI 30 and PPI60 among bipolar and schizophrenia patients, while muscular PPI was reduced in PPI60 and PPI120 intervals only among patients with schizophrenia. Conclusion: The combination of muscular and neural PPI evaluations suggested distinct impairment patterns among schizophrenia and bipolar disorder patients. Simultaneous recording may contribute with novel information in sensory gating investigations.

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“…LORETA is used to evaluate cortical activity and physiological changes. Ianof et al [ 6 ] applied LORETA to the patients with Alzheimer disease and diffuse axonal injury revealed neurofunctional differences compared with control.…”

Section: Discussionmentioning

confidence: 99%

Global Synchronization Index as an Indicator for Tracking Cognitive Function Changes in a Traumatic Brain Injury Patient: A Case Report

et al. 2019

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Traumatic brain injury is a main cause of long-term neurological disability, and many patients suffer from cognitive impairment for a lengthy period. Cognitive impairment is a fatal malady to that limits active rehabilitation, and functional recovery in patients with traumatic brain injury. In severe cases, it is impossible to assess cognitive function precisely, and severe cognitive impairment makes it difficult to establish a rehabilitation plan, as well as evaluate the course of rehabilitation. Evaluation of cognitive function is essential for establishing a rehabilitation plan, as well as evaluating the course of rehabilitation. We report a case of the analysis of electroencephalography with global synchronization index and low-resolution brain electromagnetic tomography applied, for evaluation of cognitive function that was difficult with conventional tests, due to severe cognitive impairment in a 77-year-old male patient that experienced traumatic brain injury.

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Comparative analysis of the electroencephalogram in patients with Alzheimer's disease, diffuse axonal injury patients and healthy controls using LORETA analysis

Cited by 14 publications

References 52 publications

A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals

A Review of Methods of Diagnosis and Complexity Analysis of Alzheimer’s Disease Using EEG Signals

Early Schizophrenia and Bipolar Disorder Patients Display Reduced Neural Prepulse Inhibition

Global Synchronization Index as an Indicator for Tracking Cognitive Function Changes in a Traumatic Brain Injury Patient: A Case Report

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