scholarly journals Pre-target neural oscillations predict variability in the detection of small pitch changes

2020 ◽  
Author(s):  
Esther Florin ◽  
Dominique T Vuvan ◽  
Isabelle Peretz ◽  
Sylvain Baillet
Keyword(s):  
Auditory Perception ◽  
Inferior Frontal Gyrus ◽  
Oscillatory Activity ◽  
Beta Band ◽  
Source Imaging ◽  
Auditory Detection ◽  
Small Pitch ◽  
The Right ◽  
Band Activity ◽  
Target Effects

Pitch discrimination is important for language or music processing. Previous studies indicate that auditory perception depends on pre-target neural activity. However, so far the pre-target electrophysiological conditions which enable the detection of small pitch changes are not well studied, but might yield important insights into pitch-processing. We used magnetoencephalography (MEG) source imaging to reveal the pre-target effects of successful auditory detection of small pitch deviations from a sequence of standard tones. Participants heard a sequence of four pure tones and had to determine whether the last target tone was different or identical to the first three standard sounds. We found that successful pitch change detection could be predicted from the amplitude of theta (4–8 Hz) oscillatory activity in the right inferior frontal gyrus (IFG) as well as beta (12–30 Hz) oscillatory activity in the right auditory cortex. These findings confirm and extend evidence for the involvement of theta as well as beta-band activity in auditory perception.

scholarly journals Right inferior frontal gyrus implements motor inhibitory control via beta-band oscillations in humans

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Michael Schaum ◽  
Edoardo Pinzuti ◽  
Alexandra Sebastian ◽  
Klaus Lieb ◽  
Pascal Fries ◽  
...  
Keyword(s):  
Inhibitory Control ◽  
Response Inhibition ◽  
Supplementary Motor Area ◽  
Inferior Frontal Gyrus ◽  
Neural Mechanisms ◽  
Beta Band ◽  
Changing Environments ◽  
Band Power ◽  
The Right ◽  
Band Activity

Motor inhibitory control implemented as response inhibition is an essential cognitive function required to dynamically adapt to rapidly changing environments. Despite over a decade of research on the neural mechanisms of response inhibition, it remains unclear, how exactly response inhibition is initiated and implemented. Using a multimodal MEG/fMRI approach in 59 subjects, our results reliably reveal that response inhibition is initiated by the right inferior frontal gyrus (rIFG) as a form of attention-independent top-down control that involves the modulation of beta-band activity. Furthermore, stopping performance was predicted by beta-band power, and beta-band connectivity was directed from rIFG to pre-supplementary motor area (pre-SMA), indicating rIFG’s dominance over pre-SMA. Thus, these results strongly support the hypothesis that rIFG initiates stopping, implemented by beta-band oscillations with potential to open up new ways of spatially localized oscillation-based interventions.

scholarly journals Causal modulation of right fronto-parietal phase synchrony with Transcranial Magnetic Stimulation during a conscious visual detection task

2019 ◽  
Author(s):  
Chloé Stengel ◽  
Marine Vernet ◽  
Julià L. Amengual ◽  
Antoni Valero-Cabré
Keyword(s):  
Transcranial Magnetic Stimulation ◽  
Frequency Band ◽  
Magnetic Stimulation ◽  
Visual Detection ◽  
Detection Task ◽  
Oscillatory Activity ◽  
Beta Band ◽  
The Right ◽  
High Beta ◽  
Regional Synchrony

AbstractCorrelational evidence in non-human primates has reported evidence of increased frontoparietal high-beta band (22-30 Hz) synchrony during the endogenous allocation of visuospatial attention. But may the engagement of inter-regional synchrony at this specific frequency band provide the causal mechanism by which top-down processes are engaged and they facilitate visual perception in humans? Here we further analyzed electroencephalographic (EEG) signals from a group of healthy human participants who performed a conscious visual detection task, under the influence of brief rhythmic (30 Hz) or random bursts of Transcranial Magnetic Stimulation (TMS), with an identical number of pulses and duration, delivered to the right Frontal Eye Field (FEF) prior to the onset of a lateralized near-threshold target. We report increases of inter-regional synchronization in the high-beta band (25-35 Hz) between the electrode closest to the stimulated region (right FEF) and parietal leads, and increases of local inter-trial coherence in the same frequency band over parietal contacts, both driven by rhythmic but not random TMS patterns. Importantly, such increases were accompained by increases of visual sensitivity for left visual targets (contralateral to the stimulation) in the rhythmic but not the random TMS condition at the group level. These outcomes suggest that human high-beta synchrony between right frontal and parietal regions can be modulated non-invasively and that high-beta oscillatory activity across the right dorsal fronto-parietal network may contribute to the facilitation of conscious visual detection. Our study also supports future applications of non-invasive brain stimulation technologies for the manipulation of inter-regional synchrony, which could be administered to improve visual behaviors in healthy humans or neurological patients.

scholarly journals Somatosensory responses to nothing: an MEG study of expectations during omission of tactile stimulations

2018 ◽  
Author(s):  
Lau M. Andersen ◽  
Daniel Lundqvist
Keyword(s):  
Index Finger ◽  
Beta Band ◽  
Secondary Somatosensory Cortex ◽  
Inferior Parietal Cortex ◽  
Future Events ◽  
Somatosensory Responses ◽  
The Right ◽  
Gamma Band Activity ◽  
The Brain ◽  
Band Activity

AbstractThe brain builds up expectations to future events based on the patterns of past events. This function has been studied extensively in the auditory and visual domains using various oddball paradigms, but only little exploration of this phenomenon has been done in the somatosensory domain. In this study, we explore how expectations of somatosensory stimulations are established and expressed in neural activity as measured with magnetoencephalography. Using tactile stimulations to the index finger, we compared conditions with actual stimulation to conditions with omitted stimulations, both of which were either expected or unexpected.Our results show that when a stimulation is expected but omitted, a time-locked response occurs ∼135 ms subsequent to the expected stimulation. This somatosensory response to “nothing” was source localized to the secondary somatosensory cortex and to the insula. This provides novel evidence of the capability of the brain of millisecond time-keeping of somatosensory patterns across intervals of 3000 ms.Our results also show that when stimuli are repeated and expectations are established, there is associated activity in the theta and beta bands. These theta and beta band expressions of expectation were localized to the primary somatosensory area, inferior parietal cortex and cerebellum. Furthermore, there was gamma band activity in the right insula for the first stimulation after an omission, which indicates the detection of a new stimulation event after an expected pattern has been broken.Finally, our results show that cerebellum play a crucial role in predicting upcoming stimulation and in predicting when stimulation may begin again.

scholarly journals Cortical network mechanisms of response inhibition

2020 ◽  
Author(s):  
Michael Schaum ◽  
Edoardo Pinzuti ◽  
Alexandra Sebastian ◽  
Klaus Lieb ◽  
Pascal Fries ◽  
...  
Keyword(s):  
Response Inhibition ◽  
Supplementary Motor Area ◽  
Inferior Frontal Gyrus ◽  
Beta Band ◽  
Attentional Processes ◽  
Functional Roles ◽  
Attentional Function ◽  
Fmri Study ◽  
Performance Response ◽  
The Right

SummaryBoth the right inferior frontal gyrus (rIFG) and the pre-supplementary motor area (pre-SMA) are crucial for successful response inhibition. However, the particular functional roles of those two regions have been controversially debated for more than a decade now. It is unclear whether the rIFG directly initiates stopping or serves an attentional function, whereas the stopping is triggered by the pre-SMA. The current multimodal MEG/fMRI study sought to clarify the role and temporal activation order of both regions in response inhibition using a selective stopping task. This task dissociates inhibitory from attentional processes. Our results reliably reveal a temporal precedence of rIFG over pre-SMA. Moreover, connectivity during response inhibition is directed from rIFG to pre-SMA and predicts stopping performance. Response inhibition is implemented via beta-band oscillations. Our findings support the hypothesis that response inhibition is initiated by the rIFG as a form of attention-independent top-down control.

scholarly journals Modality-specific frequency band activity during neural entrainment to auditory and visual rhythms

2020 ◽  
Author(s):  
Daniel C. Comstock ◽  
Jessica M. Ross ◽  
Ramesh Balasubramaniam
Keyword(s):  
Oscillatory Activity ◽  
Beta Activity ◽  
Dependent Manner ◽  
Rhythm Perception ◽  
Beta Band ◽  
Time Frequency ◽  
Visual Rhythm ◽  
Neural Entrainment ◽  
Specific Frequency ◽  
Band Activity

AbstractRhythm perception depends on the ability to predict the onset of rhythmic events. Previous studies indicate beta band modulation is involved in predicting the onset of auditory rhythmic events (Snyder & Large, 2005; Fujioka et al., 2009, 2012). We sought to determine if similar processes are recruited for prediction of visual rhythms by investigating whether beta band activity plays a role in a modality dependent manner for rhythm perception. We looked at source-level EEG time-frequency neural correlates of prediction using an omission paradigm with auditory and visual rhythms. By using omissions, we can separate out predictive timing activity from stimulus driven activity. We hypothesized that there would be modality specific markers of rhythm prediction in induced beta band oscillatory activity, characterized primarily by activation in the motor system specific to auditory rhythm processing. Our findings suggest the existence of overlapping networks of predictive beta activity based on common activation in the parietal and right frontal regions, auditory specific predictive beta in bilateral sensorimotor regions, and visually specific predictive beta in midline central, and bilateral temporal/parietal regions. We also found evidence for evoked predictive beta activity in the left sensorimotor region specific to auditory rhythms. These findings implicate modality dependent networks for auditory and visual rhythm perception. The results further suggest that auditory rhythm perception may have left hemispheric specific mechanisms.

scholarly journals Dopamine and beta-band oscillations differentially link to striatal value and motor control

2020 ◽  
Vol 6 (39) ◽  
pp. eabb9226
Author(s):  
H. N. Schwerdt ◽  
K. Amemori ◽  
D. J. Gibson ◽  
L. L. Stanwicks ◽  
T. Yoshida ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Oscillatory Activity ◽  
Beta Band ◽  
Performance History ◽  
Multimodal Systems ◽  
Long Time ◽  
Normative Rule ◽  
Time Frames ◽  
Band Activity

Parkinson’s disease is characterized by decreased dopamine and increased beta-band oscillatory activity accompanying debilitating motor and mood impairments. Coordinate dopamine-beta opposition is considered a normative rule for basal ganglia function. We report a breakdown of this rule. We developed multimodal systems allowing the first simultaneous, chronic recordings of dopamine release and beta-band activity in the striatum of nonhuman primates during behavioral performance. Dopamine and beta signals were anticorrelated over seconds-long time frames, in agreement with the posited rule, but at finer time scales, we identified conditions in which these signals were modulated with the same polarity. These measurements demonstrated that task-elicited beta suppressions preceded dopamine peaks and that relative dopamine-beta timing and polarity depended on reward value, performance history, movement, and striatal domain. These findings establish a new view of coordinate dopamine and beta signaling operations, critical to guide novel strategies for diagnosing and treating Parkinson’s disease and related neurodegenerative disorders.

The role of the right inferior frontal gyrus following reversal of consistent stimulus-stop mappings

2013 ◽  
Author(s):  
Maisy Best ◽  
Tobias Stevens ◽  
Fraser Milton ◽  
Christopher D. Chambers ◽  
Ian P. McLaren ◽  
...  
Keyword(s):  
Inferior Frontal Gyrus ◽  
The Right

No modulation of experimentally-induced pain by navigation-guided rTMS of the right inferior frontal gyrus

2010 ◽  
Vol 41 (01) ◽  
Author(s):  
K Menzler ◽  
A Welk ◽  
S Knake ◽  
WH Oertel ◽  
K Schepelmann ◽  
...  
Keyword(s):  
Inferior Frontal Gyrus ◽  
The Right ◽  
Experimentally Induced

Transferrin-Conjugated Nanocarriers as Active-Targeted Drug Delivery Platforms for Cancer Therapy

2017 ◽  
Vol 23 (3) ◽  
pp. 454-466 ◽  
Author(s):  
Daniele R. Nogueira-Librelotto ◽  
Cristiane F. Codevilla ◽  
Ammad Farooqi ◽  
Clarice M. B. Rolim
Keyword(s):  
Drug Delivery ◽  
Cancer Therapy ◽  
Tumor Cells ◽  
Therapeutic Benefit ◽  
Active Targeting ◽  
Future Research ◽  
Passive Targeting ◽  
The Right ◽  
Review Current ◽  
Target Effects

A lot of effort has been devoted to achieving active targeting for cancer therapy in order to reach the right cells. Hence, increasingly it is being realized that active-targeted nanocarriers notably reduce off-target effects, mainly because of targeted localization in tumors and active cellular uptake. In this context, by taking advantage of the overexpression of transferrin receptors on the surface of tumor cells, transferrin-conjugated nanodevices have been designed, in hope that the biomarker grafting would help to maximize the therapeutic benefit and to minimize the side effects. Notably, active targeting nanoparticles have shown improved therapeutic performances in different tumor models as compared to their passive targeting counterparts. In this review, current development of nano-based devices conjugated with transferrin for active tumor-targeting drug delivery are highlighted and discussed. The main objective of this review is to provide a summary of the vast types of nanomaterials that have been used to deliver different chemotherapeutics into tumor cells, and to ultimately evaluate the progression on the strategies for cancer therapy in view of the future research.

scholarly journals Resting state alpha oscillatory activity is a valid and reliable marker of schizotypy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jelena Trajkovic ◽  
Francesco Di Gregorio ◽  
Francesca Ferri ◽  
Chiara Marzi ◽  
Stefano Diciotti ◽  
...  
Keyword(s):  
At Risk ◽  
Resting State ◽  
Right Hemisphere ◽  
Normal Population ◽  
Alpha Activity ◽  
Oscillatory Activity ◽  
Loop Current ◽  
Clinical Tool ◽  
Reliable Marker ◽  
The Right

AbstractSchizophrenia is among the most debilitating neuropsychiatric disorders. However, clear neurophysiological markers that would identify at-risk individuals represent still an unknown. The aim of this study was to investigate possible alterations in the resting alpha oscillatory activity in normal population high on schizotypy trait, a physiological condition known to be severely altered in patients with schizophrenia. Direct comparison of resting-state EEG oscillatory activity between Low and High Schizotypy Group (LSG and HSG) has revealed a clear right hemisphere alteration in alpha activity of the HSG. Specifically, HSG shows a significant slowing down of right hemisphere posterior alpha frequency and an altered distribution of its amplitude, with a tendency towards a reduction in the right hemisphere in comparison to LSG. Furthermore, altered and reduced connectivity in the right fronto-parietal network within the alpha range was found in the HSG. Crucially, a trained pattern classifier based on these indices of alpha activity was able to successfully differentiate HSG from LSG on tested participants further confirming the specific importance of right hemispheric alpha activity and intrahemispheric functional connectivity. By combining alpha activity and connectivity measures with a machine learning predictive model optimized in a nested stratified cross-validation loop, current research offers a promising clinical tool able to identify individuals at-risk of developing psychosis (i.e., high schizotypy individuals).

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