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39 results for “frequency modulation”
Dataset for the "Modulation waveform determination in sinusoidal frequency modulated interferometers"
<p>This dataset supports the findings of the study presented in the paper "Modulation waveform determination in sinusoidal frequency modulated interferometers".</p> <p>The acquired data is saved in Python NumPy array format (.npy) and divided into four folders:</p> <ul> <li> <p><strong>Method_verification_with_PTA</strong>: This folder contains two measurements for the verification of the method proposed in the paper, as described in Section 4.1.</p> </li> <li> <p><strong>Amplitude_sweep</strong> and <strong>Frequency_sweep</strong>: These folders contain data on the characterization of laser optical frequency modulation with different modulation amplitudes and frequencies. The results of analyzing this data are presented in Section 4.2 of the paper.</p> </li> <li> <p><strong>Intensity_modulation_correction_test</strong>: This folder contains measurements for additional investigation on the influence of intensity modulation correction on the RRI method, as described in Section 4.3.</p> </li> </ul>
Dataset accompanying publication: "Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent"
<p>Dataset accompanying publication:</p> <p>"Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent", Alagapan, Schmidt, Lefebvre, Hadar, Shin and Frohlich</p> <p>For questions, contact flavio_frohlich@med.unc.edu</p> <p>The mat file consists of the following Matlab variables</p> <ol> <li><strong>Electrode Distance</strong>: 3 x 1 cell array containing the arrays (trial x electrode) of distance from stimulating electrode to recording electrode for the three ECoG participants. (First array corresponds to P001, Second array corresponds to P005 and Third array corresponds to P008)</li> <li><strong>Spectra_Electrode_EC</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-closed experiment. nTrial corresponds to number of trials, nFreq corresponds to frequencies at which spectral power is calculated, nChannels corresponds to number of electrodes in the analysis and nEpochs corresponds to “Before Stimulation”, “During Stimulation” and “After Stimulation” epochs.</li> <li><strong>Spectra_Electrode_EO</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-open experiment. The dimensions are the same as above. The first array consists of task-engaged dataset from Participant P001.</li> <li><strong>MI_Summary</strong>: 8 x 1 cell array consisting of 3 x 1 cell arrays of modulation indexes for the three participants. The 8 arrays stand for the modulation indexes in different epochs and different frequencies. Refer <strong>MI_Summary_Names</strong></li> <li><strong>MI_Summary_Names</strong>: 8 x 1 cell array consisting of strings denoting the arrays in <strong>MI_Summary</strong>. <strong>During</strong> in text corresponds to “During Stimulation” epoch and <strong>After</strong> corresponds to “After Stimulation” epoch.</li> <li><strong>f</strong>: Frequencies at which spectral power was estimated.</li> <li><strong>NetworkModel</strong>: Matlab struct containing the time series generated by the network model and corresponding spectra. The <strong>timeseries</strong> consists of 4 columns – 1<sup>st</sup> column corresponds to time, 2<sup>nd</sup> column corresponds to task-engaged state data, 3<sup>rd</sup> column corresponds to eyes-open state data and 4<sup>th</sup> column corresponds to eyes-closed state data. The <strong>spectra </strong>struct consists of spectral powers estimated in the different epochs. 1<sup>st</sup> column of each epoch array corresponds to task-engaged state, 2<sup>nd</sup> column corresponds to eyes-open state and the 3<sup>rd</sup> column corresponds to eyes-closed state.</li> <li><strong>SummationModel</strong>: Matlab struct containing the time series generated by the summation model and the peak values in spectra before and during stimulation by varying the two strength parameters. The columns correspond to stimulation strength while rows correspond to oscillation strength. The oscillation strength parameter was varied from 0.5 to 50 in steps of 0.5 and the stimulation strength parameter was varied from 0.1 to 10 in steps of 0.1. </li> </ol> <p> </p>
Hawkmoths use wingstroke-to-wingstroke frequency modulation for aerial recovery to vortex ring perturbations
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Uneven substrates constrain walking speed in ants through modulation of stride frequency more than stride length
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Spectral-power associations reflect amplitude modulation and within-frequency interactions on the sub-second timescale and cross-frequency interactions on the seconds timescale
<p>We investigated the global structure of intrinsic cross-frequency dynamics by systematically examining power-based temporal associations among a broad range of oscillation frequencies both within and across EEG-based current sources (sites). We focused on power-based associations that could reveal unique timescale dependence independently of interacting frequencies. Large spectral-power fluctuations across all sites occurred at two characteristic timescales, sub-second and seconds, yielding distinct patterns of cross-frequency associations. On the fast sub-second timescale, within-site (local) associations were consistently between pairs of <i>beta</i>-<i>gamma</i> frequencies differing by a constant Delta-<i>f</i> (particularly Delta-<i>f </i>~ 10 Hz at posterior sites and Delta-<i>f </i>~ 16 Hz at lateral sites) suggesting that higher-frequency oscillations are organized into Delta-<i>f</i> amplitude-modulated packets, whereas cross-site (long-distance) associations were all within-frequency (particularly in the >30 Hz and 6-12 Hz ranges, suggestive of feedforward and feedback interactions). On the slower seconds timescale, within-site (local) associations were characterized by a broad range of frequencies selectively associated with ~10 Hz at posterior sites and associations among higher (>20 Hz) frequencies at lateral sites, whereas cross-site (long-distance) associations were characterized by a broad range of frequencies at posterior sites selectively associated with ~10 Hz at other sites, associations among higher (>20 Hz) frequencies among lateral and anterior sites, and prevalent associations at ~10 Hz. Regardless of timescale, within-site (local) cross-frequency associations were weak at anterior sites indicative of frequency-specific operations. Overall, these results suggest that the fast sub-second-timescale coordination of spectral power is limited to local amplitude modulation and insulated within-frequency long-distance interactions (likely feedforward and feedback interactions), while characteristic patterns of cross-frequency interactions emerge on the slower seconds timescale. The results also suggest that the occipital <i>alpha</i> oscillations play a role in organizing higher-frequency oscillations into ~10 Hz amplitude-modulated packets to communicate with other regions. Functional implications of these timescale-dependent cross-frequency associations await future investigations.</p>
FIGURE 2. Call measurements: 1) number of frequency peaks; 2) maximum frequency; 3) rising or falling call; 4) start frequency; 5) amplitude of the largest modulation; 6) duration up to the largest modulation; 7) minimum frequency; 8) end frequency; 9) call duration. in --Molecular--and--acoustic--evidence--support--the--species--status--of--Anthus rubescens rubescens and--Anthus [rubescens] japonicus--(Passeriformes:--Motacillidae)
FIGURE 2. Call measurements: 1) number of frequency peaks; 2) maximum frequency; 3) rising or falling call; 4) start frequency; 5) amplitude of the largest modulation; 6) duration up to the largest modulation; 7) minimum frequency; 8) end frequency; 9) call duration.
Sham-Controlled RCT on 10kHz High-Frequency Spinal Cord Stimulation for Chronic Neuropathic Low Back Pain (Modulate-LBP)
ClinicalTrials.gov study NCT03470766. IPD Sharing: NO. Countries: 1. Publications: 2.
Frequency Modulated Neural Stimulation (FREMS) in Symptomatic Diabetic Neuropathy
ClinicalTrials.gov study NCT01628627. IPD Sharing: Not stated. Countries: 3. Publications: 3.
Acute Stimulation and Modulation of Stereotyped High-Frequency Oscillations
ClinicalTrials.gov study NCT06898138. IPD Sharing: YES. Countries: 1. Publications: 1.
Triple Target Treatment (3T) Which Combines Stimulation With Amplitude Modulated Middle Frequency (AM-MF), Electromyography (EMG)-Triggered Stimulation and EMG-Biofeedback Compared With EMG-Biofeedbac
ClinicalTrials.gov study NCT00525291. IPD Sharing: Not stated. Countries: 1. Publications: 2.
The Effect of Frequency Modulation in TENS on Habituation and Pain Threshold
ClinicalTrials.gov study NCT03198377. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of Autonomic Nervous System Modulation by Heart Rate Variability Biofeedback Training With Resonant Frequency Breathing on Glucose Metabolism in Individuals With Prediabetes
ClinicalTrials.gov study NCT06739993. IPD Sharing: NO. Countries: 1. Publications: 7.
Determination of Autonomic Responses to Exposure to Electromagnetic Fields With Low Energy Modulated Frequency
ClinicalTrials.gov study NCT01686412. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Patient-TAILORed Ablation of Persistent AF Guided by Instantaneous Amplitude and Frequency Modulation Maps (TAILOR-AF)
ClinicalTrials.gov study NCT05169320. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Spectral-power associations reflect amplitude modulation and within-frequency interactions on the sub-second timescale and cross-frequency interactions on the seconds timescale
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Data from: Patterned frequency-modulated oral stimulation in preterm infants: a multicenter randomized controlled trial
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Data from: Modulation frequency as a cue for auditory speed perception
Unlike vision, the mechanisms underlying auditory motion perception are poorly understood. Here we describe an auditory motion illusion revealing a novel cue to auditory speed perception: the temporal frequency of amplitude modulation (AM-frequency), typical for rattling sounds. Naturally, corrugated objects sliding across each other generate rattling sounds whose AM-frequency tends to directly correlate with speed. We found that AM-frequency modulates auditory speed perception in a highly systematic fashion: moving sounds with higher AM-frequency are perceived as moving faster than sounds with lower AM-frequency. Even more interestingly, sounds with higher AM-frequency also induce stronger motion aftereffects. This reveals the existence of specialized neural mechanisms for auditory motion perception, which are sensitive to AM-frequency. Thus, in spatial hearing, the brain successfully capitalizes on the AM-frequency of rattling sounds to estimate the speed of moving objects. This tightly parallels previous findings in motion vision, where spatio-temporal frequency of moving displays systematically affects both speed perception and the magnitude of the motion aftereffects. Such an analogy with vision suggests that motion detection may rely on canonical computations, with similar neural mechanisms shared across the different modalities.
Data from: Long-term use benefits of personal frequency-modulated systems for speech in noise perception in patients with stroke with auditory processing deficits: a non-randomised controlled trial study
Objectives: Approximately one in five stroke survivors suffer from difficulties with speech reception in noise, despite normal audiometry. These deficits are treatable with personal Frequency Modulated systems (FMs). This study aimed to evaluate long term benefits in speech reception in noise, after daily 10 week use of personal FMs, in non-aphasic stroke patients with auditory processing deficits. Design: This was a prospective non randomised controlled trial study. Patients were allocated to an intervention care group or standard care subjects group according to their willingness to use the intervention or not. Setting: Tertiary care setting. Participants: Nine non-aphasic subjects with ischemic stroke, normal/near normal audiometry, and auditory processing deficits and with reported difficulties understanding speech in background noise were recruited in the subacute stroke stage (3-12 months after stroke). Interventions: Four patients (intervention care subjects) used the FMs in their daily life over 10 weeks. Five patients (standard care subjects) received standard care. Primary outcome measures: All subjects were tested at baseline (visit 1) and 10 weeks later (visit 2) on a sentences in noise test with the FMs (aided) and without the FMs (unaided). Results: Speech reception thresholds showed clinically and statistically significant improvements in intervention but not in standard care subjects at 10 weeks in both aided and unaided conditions. Conclusions: 10 week use of FM systems by adult stroke patients may lead to benefits in unaided speech in noise perception. Our findings may indicate auditory plasticity type changes and require further investigation.
Altered Frequencies and Functions of Innate Lymphoid Cells in Melanoma Patients Are Modulated by Immune Checkpoints Inhibitors
<p>Raw data related to limphocytes subpopulation.</p> <p>This work was supported by Italian Association for Cancer Research (IG15521 and IG20312); Wenner-Gren Foundation, Sweden; Fondazione Melanoma Onlus, Naples; Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR) PRIN 2017 2017M8YMR8_002; Fondazione NIBIT, Siena, Italy (grants to EC) and Italian Ministry of Health (IT-MOH) through “Ricerca Corrente”, grants number M2-2 (grants to PAA). CMC was supported by EFIS-IL Short Term Fellowship and EACR Travel Fellowship.</p> <p> </p> <p> </p>
Detecting Tumor Specific Amplitude-modulated Frequencies of Cancer Patients
ClinicalTrials.gov study NCT03037840. IPD Sharing: UNDECIDED. Countries: 0. Publications: 4.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.