A study on EEG findings: An Experience from a Tertiary Care Center of Nepal

Joshi, Suchita; Shakya, Rabi

doi:10.3126/jpan.v5i1.18329

“…10,14 Abnormal generalized epileptiform discharge was seen in 11% of our respondents. A study by Joshi revealed abnormal EEG in 43.3% with generalized epilepsy diagnosed on EEG in 26.21% 15 . Limitations of the study: Limitation of the study is that sample size was small and under six months infants were included, and was done only in two centers so we further recommend that further similar studies should be conducted in different settings with different protocols and include different age groups.…”

Section: Discussionmentioning

confidence: 99%

Spectrum of Electroencephalographic Findings in Seizures under 6 months aged infants at a Tertiary Care Hospital

Riaz¹,

Shafique²,

Ishaq³

et al. 2021

JAFMDC

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Objectives: To determine the spectrum of electroencephalographic findings in epilepsy of infants under 6 months of age Methodology It was a cross-sectional study conducted in the Pediatrics Department, at Shaikh Zayed Hospital, Lahore from May 2018 till April 2019. One hundred and forty-two infants aged one to six months of both genders which were newly diagnosed having first episode of seizures recruited by non-probability purposive sampling. Infants with no seizures, any central nervous system abnormalities like meningomyelocele, spina bifida, encephalocele, microcephaly and already taking antiepileptic drugs were excluded. Patient’s demographic characteristics, seizure pattern and EEG record was obtained on Performa. Frequencies and percentages were calculated. Results: The mean age of infant patients was 3.18±1.90 months (1-6 months). Of the 142 infant patients, 97 (68%) were male and 45 (32%) females with positive family history in 42 (30%) patients. Epilepsy pattern revealed 101 (71.1%) presented with generalized seizures while 23 (16.2%) had focal seizures. Only 1 (0.7%) child suffered from epilepsy syndromes while seventeen (12%) had unclassified seizures. EEG reporting showed 41 (29%) had abnormal tracing. Of these, 23 (16%) patients had abnormal focal while 15 (11%) had abnormal generalized frequency and only 3 (2%) were with undetermined reporting. Normal EEG was seen in 101 (71%) patients. Conclusion: Almost one-third of patients with epilepsy had abnormal EEG findings so antiepileptic therapy selection must be tailored on individual basis, with special focus on patient’s history and clinical presentation.

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“…Electroencephalogram (EEG) is a pivotal tool in neuroscience, facilitating the study of brain activity and behavior (Jiang et al, 2019). It entails the recording of brain electrical activity over a specific timeframe (Joshi & Shakya, 2017). However, it is important to note that EEG does not directly measure the real brain signal.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

J. Multiscale Neurosci.

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EEG measures electric potential changes in the scalp. Even though it has been associated with human thoughts, there has been no direct evidence. The problem with EEG is that it measures variations in current or electric potential in the millisecond time domain, where muscle movement strongly affects the readings. The millisecond time domain is equivalent to the kHz resonance signal generated by any dielectric resonator, and every single cell membrane resonates in this time range. So, the measurement of EEG could come simply from the skin and not from the brain. Therefore, we have advanced EEG technology with the dodecanogram (DDG), which reveals 12 frequency bands or 12 discrete time regions where brain activities are most significant. We measure brain activity using a stream of pulses and a logic analyzer that counts ultra-short pulses needed to emulate brain scalp potential changes. We have created another version of DDG where, using an array of RLC (resistor-inductor-capacitor) resonators, we sense the ultra-low-power electromagnetic radiation from different locations on the brain's surface. Since we measure signals from Hz to THz, covering 12 orders of time ranges as a property of dielectric resonance, unlike EEG, there is a high probability that the DDG signal may truly originate from the brain. We have monitored DDG on an artificial organic brain replica 24/7 for over a year and on multiple human subjects, before and after meditation and concluded that most cognitive, perceptive and emotional bursts occur around 200-700 nanoseconds, not milliseconds, as it was believed for 150 years of EEG era.

show abstract

“…Electroencephalogram (EEG) is a pivotal tool in neuroscience, facilitating the study of brain activity and behavior (Jiang et al, 2019). It entails the recording of brain electrical activity over a specific timeframe (Joshi & Shakya, 2017). However, it is important to note that EEG does not directly measure the real brain signal.…”

Section: Introductionmentioning

confidence: 99%

Dodecanogram (DDG): Advancing EEG technology with a high- frequency brain activity measurement device

Singh,

Manna,

Dey

et al. 2023

J. Multiscale Neurosci.

3

0

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EEG measures electric potential changes in the scalp. Even though it has been associated with human thoughts, there has been no direct evidence. The problem with EEG is that it measures variations in current or electric potential in the millisecond time domain, where muscle movement strongly affects the readings. The millisecond time domain is equivalent to the kHz resonance signal generated by any dielectric resonator, and every single cell membrane resonates in this time range. So, the measurement of EEG could come simply from the skin and not from the brain. Therefore, we have advanced EEG technology with the dodecanogram (DDG), which reveals 12 frequency bands or 12 discrete time regions where brain activities are most significant. We measure brain activity using a stream of pulses and a logic analyzer that counts ultra-short pulses needed to emulate brain scalp potential changes. We have created another version of DDG where, using an array of RLC (resistor-inductor-capacitor) resonators, we sense the ultra-low-power electromagnetic radiation from different locations on the brain's surface. Since we measure signals from Hz to THz, covering 12 orders of time ranges as a property of dielectric resonance, unlike EEG, there is a high probability that the DDG signal may truly originate from the brain. We have monitored DDG on an artificial organic brain replica 24/7 for over a year and on multiple human subjects, before and after meditation and concluded that most cognitive, perceptive and emotional bursts occur around 200-700 nanoseconds, not milliseconds, as it was believed for 150 years of EEG era.

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A study on EEG findings: An Experience from a Tertiary Care Center of Nepal

Abstract: Introduction: The electroencephalography (EEG) is the recording of brain's spontaneous electrical activity over a period of time (15)(16)(17)(18)(19)(20)

Cited by 3 publications

References 4 publications

Spectrum of Electroencephalographic Findings in Seizures under 6 months aged infants at a Tertiary Care Hospital

Spectrum of Electroencephalographic Findings in Seizures under 6 months aged infants at a Tertiary Care Hospital

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Dodecanogram (DDG): Advancing EEG technology with a high- frequency brain activity measurement device

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