Insights into déjà vu: Associations between the frequency of experience and amplitudes of low‐frequency oscillations in resting‐state fMRI

2021 ◽  
Author(s):  
Eva Zatloukalova ◽  
Michal Mikl ◽  
Daniel Joel Shaw ◽  
Radek Marecek ◽  
Lenka Sakalosova ◽  
...  
Keyword(s):  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Low Frequency Oscillations ◽  
Deja Vu ◽  
Déjà Vu

scholarly journals Amplitude of low-frequency oscillations in schizophrenia: A resting state fMRI study

2010 ◽  
Vol 117 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Matthew J. Hoptman ◽  
Xi-Nian Zuo ◽  
Pamela D. Butler ◽  
Daniel C. Javitt ◽  
Debra D'Angelo ◽  
...  
Keyword(s):  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Low Frequency Oscillations ◽  
Fmri Study

scholarly journals Altered trigeminothalamic spontaneous low-frequency oscillations in migraine without aura: a resting-state fMRI study

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ye Eun Kim ◽  
Min Kyung Kim ◽  
Sang-il Suh ◽  
Ji Hyun Kim
Keyword(s):  
Resting State ◽  
Migraine Without Aura ◽  
Disease Duration ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Original Method ◽  
Clinical Variables ◽  
Low Frequency Oscillations ◽  
Pain Transmission ◽  
Ventromedial Medulla

Abstract Background Recent resting-state fMRI studies demonstrated functional dysconnectivity within the central pain matrix in migraineurs. This study aimed to investigate the spatial distribution and amplitude of low-frequency oscillations (LFOs) using fractional amplitude of low-frequency fluctuation (fALFF) analysis in migraine patients without aura, and to examine relationships between regional LFOs and clinical variables. Methods Resting-state fMRI data were obtained and preprocessed in 44 migraine patients without aura and 31 matched controls. fALFF was computed according to the original method, z-transformed for standardization, and compared between migraineurs and controls. Correlation analysis between regional fALFF and clinical variables was performed in migraineurs as well. Results Compared with controls, migraineurs had significant fALFF increases in bilateral ventral posteromedial (VPM) thalamus and brainstem encompassing rostral ventromedial medulla (RVM) and trigeminocervical complex (TCC). Regional fALFF values of bilateral VPM thalamus and brainstem positively correlated with disease duration, but not with migraine attack frequency or Migraine Disability Assessment Scale score. Conclusions We have provided evidence for abnormal LFOs in the brainstem including RVM/TCC and thalamic VPM nucleus in migraine without aura, implicating trigeminothalamic network oscillations in migraine pathophysiology. Our results suggest that enhanced LFO activity may underpin the interictal trigeminothalamic dysrhythmia that could contribute to the impairments of pain transmission and modulation in migraine. Given our finding of increasing fALFF in relation to increasing disease duration, the observed trigeminothalamic dysrhythmia may indicate either an inherent pathology leading to migraine headaches or a consequence of repeated attacks on the brain.

scholarly journals Using carpet plots to analyze transit times of low frequency oscillations in resting state fMRI

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bradley Fitzgerald ◽  
Jinxia Fiona Yao ◽  
Thomas M. Talavage ◽  
Lia M. Hocke ◽  
Blaise deB Frederick ◽  
...  
Keyword(s):  
Resting State ◽  
Physiological Activity ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Detection Algorithm ◽  
Fmri Data ◽  
Intensity Change ◽  
Dynamic Susceptibility ◽  
Low Frequency Oscillations ◽  
Transit Times

AbstractA “carpet plot” is a 2-dimensional plot (time vs. voxel) of scaled fMRI voxel intensity values. Low frequency oscillations (LFOs) can be successfully identified from BOLD fMRI and used to study characteristics of neuronal and physiological activity. Here, we evaluate the use of carpet plots paired with a developed slope-detection algorithm as a means to study LFOs in resting state fMRI (rs-fMRI) data with the help of dynamic susceptibility contrast (DSC) MRI data. Carpet plots were constructed by ordering voxels according to signal delay time for each voxel. The slope-detection algorithm was used to identify and calculate propagation times, or “transit times”, of tilted vertical edges across which a sudden signal change was observed. We aim to show that this metric has applications in understanding LFOs in fMRI data, possibly reflecting changes in blood flow speed during the scan, and for evaluating alternative blood-tracking contrast agents such as inhaled CO2. We demonstrate that the propagations of LFOs can be visualized and automatically identified in a carpet plot as tilted lines of sudden intensity change. Resting state carpet plots produce edges with transit times similar to those of DSC carpet plots. Additionally, resting state carpet plots indicate that edge transit times vary at different time points during the scan.

Frequency-dependent changes in amplitude of low-frequency oscillations in depression: A resting-state fMRI study

2016 ◽  
Vol 614 ◽  
pp. 105-111 ◽  
Author(s):  
Li Wang ◽  
Qingmei Kong ◽  
Ke Li ◽  
Yunai Su ◽  
Yawei Zeng ◽  
...  
Keyword(s):  
Resting State ◽  
Low Frequency ◽  
Resting State Fmri ◽  
Frequency Dependent ◽  
Low Frequency Oscillations ◽  
Fmri Study
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