Search results for "qEEG"

showing 3 items of 3 documents

Dysfunction of attention switching networks in amyotrophic lateral sclerosis

2019

Objective To localise and characterise changes in cognitive networks in Amyotrophic Lateral Sclerosis (ALS) using source analysis of mismatch negativity (MMN) waveforms. Rationale The MMN waveform has an increased average delay in ALS. MMN has been attributed to change detection and involuntary attention switching. This therefore indicates pathological impairment of the neural network components which generate these functions. Source localisation can mitigate the poor spatial resolution of sensor-level EEG analysis by associating the sensor-level signals to the contributing brain sources. The functional activity in each generating source can therefore be individually measured and investigat…

MaleMismatch negativitySource localisationEEG ElectroencephalographyMismatch negativityNetworkElectroencephalographylcsh:RC346-429PET Positron emission tomographyCognition0302 clinical medicineC9orf72AttentionEEGAUROC Area under receiver operating characteristic curveAmyotrophic lateral sclerosisAged 80 and overmedicine.diagnostic_test05 social sciencesCognitive flexibilityBrainRegular ArticleElectroencephalographyCognitionMiddle AgedSTG Superior temporal gyrusNeurologyMTG Mid temporal gyrusDLPFC Dorsolateral prefrontal cortexlcsh:R858-859.7FemaleLCMV Linearly constrained minimum varianceIFG Inferior frontal gyrusAdultCognitive Neurosciencelcsh:Computer applications to medicine. Medical informatics050105 experimental psychologyCWIT Colour-word interference test03 medical and health sciencesfMRI Functional magnetic resonance imagingMEG MagnetoencephalographymedicineMMN Mismatch negativityHumans0501 psychology and cognitive sciencesRadiology Nuclear Medicine and imagingLS Amyotrophic Lateral SclerosisAAL Automated Anatomical Labellinglcsh:Neurology. Diseases of the nervous systemAEP Auditory evoked potentialAgedbusiness.industryAmyotrophic Lateral SclerosisIQR Interquartile rangeNeurophysiologyqEEG Quantitative EEGmedicine.diseaseNeurology (clinical)Nerve NetFunctional magnetic resonance imagingbusinessNeuroscience030217 neurology & neurosurgeryeLORETA Exact low-resolution brain electromagnetic tomographyNeuroImage: Clinical
researchProduct

Individual alpha peak frequency, an important biomarker for live Z-Score training neurofeedback in adolescents with learning disabilities

2021

Learning disabilities (LDs) have an estimated prevalence between 5% and 9% in the pediatric population and are associated with difficulties in reading, arithmetic, and writing. Previous electroencephalography (EEG) research has reported a lag in alpha-band development in specific LD phenotypes, which seems to offer a possible explanation for differences in EEG maturation. In this study, 40 adolescents aged 10–15 years with LDs underwent 10 sessions of Live Z-Score Training Neurofeedback (LZT-NF) Training to improve their cognition and behavior. Based on the individual alpha peak frequency (i-APF) values from the spectrogram, a group with normal i-APF (ni-APF) and a group with low i-APF (li-…

medicine.medical_specialtyneurofeedback; Z-score training; learning disabilities; endophenotypes; alpha peak frequency; QEEGEndophenotypesAlpha (ethology)QEEGAudiologyStandard scoreElectroencephalographyArticle050105 experimental psychologylcsh:RC321-57103 medical and health sciences0302 clinical medicinemedicine0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryLearning disabilitiesmedicine.diagnostic_testbusiness.industryGeneral Neuroscience05 social sciencesCognitionNeurofeedbackPsicologíaEndophenotypeLearning disabilityZ-score trainingBiomarker (medicine)Alpha peak frequencyNeurofeedbackmedicine.symptombusiness030217 neurology & neurosurgery
researchProduct

Quantitative EEG differentiates multiple sclerosis with and without cognitive impairment from healthy controls at the beginning of the disease: preli…

2018

Background and aims: The present study aims to assess possible qEEG differences between newly diagnosed multiple sclerosis (MS) patients with or without cognitive impairment (CI). Methods: We enrolled 22 patients (18-55-years-old) treated with first-line drugs for <6 months, and 11 healthy controls. All subjects underwent neuropsychological assessment including BICAMS and BDI. EEG recordings were performed during a cognitive task (computerised “SDMT” subtest of BICAMS) and at rest. Based on neuropsychological assessment, patients were considered as affected (MSCI group) or not (MS group) by cognitive impairment. We analysed data comparing MSCI patients matched by sex, age (±5years) and e…

qEEG MS power spectrum analysis Cognitive impairmentmultiple sclerosis quantitative EEG cognitive impairmentSettore MED/26 - NeurologiaSettore BIO/09 - Fisiologia
researchProduct