Altered Visual Processing in Migraine Not Associated with Auditory Abnormalities

Haigh, Sarah M.; Chamanzar, Alireza; Venkatesh, Praveen; Grover, Pulkit; Behrmann, Marlene

doi:10.1167/19.10.275

Cited by 3 publications

(4 citation statements)

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“…Indeed, their main findings were on the high-frequency grating, while in contrast, the findings we report here occur with the clinically relevant, medium-frequency grating (3 c/deg). Haigh et al (2019) found larger amplitude N1 and N2 ERP components in a migraine group viewing chromatic gratings. These enlarged responses were associated with higher discomfort ratings when viewing the stimuli.…”

Section: Eeg Findingsmentioning

confidence: 79%

The missing N1 or jittered P2: Electrophysiological correlates of pattern glare in the time and frequency domain

Tempesta

Miller

Bowman

et al. 2021

Eur J of Neuroscience

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Excessive sensitivity to certain visual stimuli (cortical hyperexcitability) is associated with a number of neurological disorders including migraine, epilepsy, multiple sclerosis, autism and possibly dyslexia. Others show disruptive sensitivity to visual stimuli with no other obvious pathology or symptom profile (visual stress) which can extend to discomfort and nausea. We used event‐related potentials (ERPs) to explore the neural correlates of visual stress and headache proneness. We analysed ERPs in response to thick (0.37 cycles per degree [c/deg]), medium (3 c/deg) and thin (12 c/deg) gratings, using mass univariate analysis, considering three factors in the general population: headache proneness, visual stress and discomfort. We found relationships between ERP features and the headache and discomfort factors. Stimulus main effects were driven by the medium stimulus regardless of participant characteristics. Participants with high discomfort ratings had larger P1 components for the initial presentation of medium stimuli, suggesting initial cortical hyperexcitability that is later suppressed. The participants with high headache ratings showed atypical N1‐P2 components for medium stripes relative to the other stimuli. This effect was present only after repeated stimulus presentation. These effects were also explored in the frequency domain, suggesting variations in intertrial theta band phase coherence. Our results suggest that discomfort and headache in response to striped stimuli are related to different neural processes; however, more exploration is needed to determine whether the results translate to a clinical migraine population.

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Section: Eeg Findingsmentioning

confidence: 79%

The missing N1 or jittered P2: Electrophysiological correlates of pattern glare in the time and frequency domain

Tempesta

Miller

Bowman

et al. 2021

Eur J of Neuroscience

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“…where e a ij is the element of matrix e A at the intersection of the i th row and the j th column, and S is the set of indices of k silent sources, i.e., indices of sources corresponding to the k smallest values in g ⋆ (λ ⋆ , k), which is the solution of Eq. (18). The second equality in Eq.…”

Section: (Vii)mentioning

confidence: 95%

“…Using the definition of source contribution measure β high ðrÞ q in the high-resolution grid, at iteration r, the contiguous region of silence is localized through a CSpeC framework, similar to the one defined in Eq. (18). However, we use the estimated source covariance matrix in each iteration to introduce a new set of constraints on the powers of the electrodes, which are less affected by the region of silence, i.e., the electrodes in S ðrÞ elec , as defined in Eq.…”

Section: (Vii)mentioning

confidence: 99%

“…The challenge arises primarily from three issues: (i) the underdetermined nature of the problem (few sensors, many possible locations of sources); (ii) the spatial low-pass filtering effect of the distance and the layers separating the brain and the scalp; and (iii) noise, including exogenous noise, background brain activity, as well as artifacts, e.g., heart beats, eye movements, and jaw clenching 12,13 . In source localization paradigms applied to neuroscience data [14][15][16] , e.g., in event-related potential paradigms 17,18 , scalp EEG signals are aggregated over event-related trials to average out background brain activity and noise, permitting the extraction of the signal activity that is consistent across trials. The localization of a region of silence poses additional challenges, of which the most important is how the background brain activity is treated: while it is usually grouped with noise in source localization (e.g., authors in 16 state: "EEG data are always contaminated by noise, e.g., exogenous noise and background brain activity"), estimating where background activity is present is of direct interest in silence localization where the goal is to separate normal brain activity (including background activity) from abnormal silences.…”

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confidence: 99%

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Neural silences can be localized rapidly using noninvasive scalp EEG

2021

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A rapid and cost-effective noninvasive tool to detect and characterize neural silences can be of important benefit in diagnosing and treating many disorders. We propose an algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural silences, using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric cortical resection patients, using fewer than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53 mm), as well for 100 different simulated regions of silence based on a real human head model (12 ± 0.7 mm vs. 54 ± 2.2 mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function.

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Neural silences can be localized rapidly using noninvasive scalp EEG

Chamanzar

Behrmann

Grover

2020

Preprint

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A rapid and cost-effective noninvasive tool to detect and characterize suppressed neural activity can be of significant benefit for the diagnosis and treatment of many disorders. We propose a novel algorithm, SilenceMap, for uncovering the absence of electrophysiological signals, or neural "silences", using noninvasive scalp electroencephalography (EEG) signals. By accounting for the contributions of different sources to the power of the recorded signals, and using a novel hemispheric baseline approach and a convex spectral clustering framework, SilenceMap permits rapid detection and localization of regions of silence in the brain using a relatively small amount of EEG data. SilenceMap substantially outperformed existing source localization algorithms in estimating the center-of-mass of the silence for three pediatric patients with lobectomy, using less than 3 minutes of EEG recordings (13, 2, and 11mm vs. 25, 62, and 53mm), as well for 70 different simulated regions of silence based on a real human head model (11±0.5mm vs. 54±2.2mm). SilenceMap paves the way towards accessible early diagnosis and continuous monitoring of altered physiological properties of human cortical function.

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Altered Visual Processing in Migraine Not Associated with Auditory Abnormalities

Cited by 3 publications

References 0 publications

The missing N1 or jittered P2: Electrophysiological correlates of pattern glare in the time and frequency domain

The missing N1 or jittered P2: Electrophysiological correlates of pattern glare in the time and frequency domain

Neural silences can be localized rapidly using noninvasive scalp EEG

Neural silences can be localized rapidly using noninvasive scalp EEG

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