Jacqueline De Vries’s scientific contributions

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Publications (1)


Figure 1. Top graph labeled: Infra-slow Fluctuation uV. Images the Alternating Current ISF signal in microvolts, the white line, with the damped average of the signal, the green line. Bottom graph labeled: DC Fluctuation mV. Images the amplitude fluctuations of Direct current measured in milivolts, the white line, with the damped average of the signal, the green line. Notice the similarity between the rise and fall in amplitudes of the two signals. 
Figure 2. Relationship between cutoff frequency (top) and holding time-constant (bottom). A lower cutoff frequency is associated with a longer time-constant. These are shown for a first-order filter, but are representative of any order filter. Specifically, for a first-order filter, the time-constant is defined (approximately) as: t = 1 / 2 * PI * fc. For example, a low-cut frequency of 0.3 Hz would have a time constant of 1 / 2 * PI * 0.3 = 0.53 seconds. The following Figure 3, of a vintage Grass amplifier, shows how this relationship is implicit in an amplifier. The selector for the low-frequency cutoff, with settings of 0.15, 0.3, 1, 3, and 10 Hz, is shown with a second set of indicators beneath, designating, for this amplifier, time-constants of 0.45, 0.24, 0.1, 0.04, and 0.015 seconds. 
Figure 3. Grass EEG amplifier showing combined "low frequency / time-constant" control, illustrating the interdependence of these two settings. 
Figure 4. Pre-treatment breakdown of participants by diagnosis and presenting concern *ED = Emotional Disorder or **PDD = Pervasive Developmental Disorder. Results based on operationally defined construct (i.e., low, moderate, or high risk). 
Figure 6. Pre/post QEEGs depicting near global remediation of coherence in all bands, with normalization of the deviant absolute power in the high beta band at the frontal midline. 

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Infra-slow Fluctuation Training in Clinical Practice: A Technical History
  • Article
  • Full-text available

November 2014

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14,376 Reads

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19 Citations

NeuroRegulation

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Thomas F Collura

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John Ferrera

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Jacqueline De Vries

Infra-slow Fluctuation (ISF) electroencephalogram (EEG) biofeedback is a recent development in neurofeedback training. This form of training is focused on the lowest energy the brain produces (< 0.1 Hz). The intervention is performed with a Direct Current (DC) coupled neurofeedback amplifier. It is distinct from Slow Cortical Potential (SCP) training and Infra-Low Frequency (ILF) training. It shares a similar optimization process with ILF that focuses on emergent state shifts within sessions. These state shifts require frequency adjustments that optimize client response to the training in real time. Due to the technical difficulties inherent in recording these frequencies, EEG investigators largely neglected this low energy until recently. As DC amplifiers improved, the slow frequencies became a signal of increasing interest to researchers. Research has demonstrated an important role for the infra-slow oscillations in clinical work. Positive clinical case outcomes suggest that a larger controlled study is warranted. The technical, clinical, and equipment requirements of the intervention make this form of neurofeedback unique in the pantheon of EEG biofeedback interventions. The traditional method of recording the electroencephalogram (EEG) with an Alternating Current (AC) amplifier and a " corner " or cutoff frequency of approximately 0.5 Hz is more than half a century old (Collura, 1993). These AC amplifiers produced attenuated signals that allowed researchers to focus on the faster oscillations, considered the most salient features in the human EEG at that time. Before that time, attempts to record slow events produced electrode drifts that tended to saturate the amplifiers and so hastened the advent of

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Citations (1)


... 48 Moreover, higher frequency bands are nested (phase-locked) on the ISF bands (0.0-0.1 Hz), synchronizing the higher frequency activity of the brain. [49][50][51][52][53] Preclinical and empirical research shows neuropathic pain is associated with altered ISF within the dorsal horn, extending to the SSC. 54,55 Additionally, evidence from neuroimaging studies demonstrates increased ISF activity within the pain-evoking brain regions, including dACC, and SSC, and decreased ISF activity within the antinociceptive network, including pgACC. ...

Reference:

Closed-Loop Infraslow Brain-Computer Interface can Modulate Cortical Activity and Connectivity in Individuals With Chronic Painful Knee Osteoarthritis: A Secondary Analysis of a Randomized Placebo-Controlled Clinical Trial
Infra-slow Fluctuation Training in Clinical Practice: A Technical History

NeuroRegulation