scholarly journals Internal and external signal processing in patients with panic disorder: An event-related potential (ERP) study

PLoS ONE ◽  
2018 ◽  
Vol 13 (11) ◽  
pp. e0208257 ◽  
Author(s):  
Christian Valt ◽  
Dorothea Huber ◽  
Ingrid Erhardt ◽  
Birgit Stürmer
Keyword(s):  
Signal Processing ◽  
Panic Disorder ◽  
Event Related Potential ◽  
External Signal

scholarly journals Treatment-related changes towards normalization of the abnormal external signal processing in panic disorder

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0227673
Author(s):  
Christian Valt ◽  
Dorothea Huber ◽  
Birgit Stürmer
Keyword(s):  
Signal Processing ◽  
Panic Disorder ◽  
External Signal

LOCALLY IMPLEMENTABLE MATRIX FLOWS AND THEIR APPLICATION TO NEURAL NETWORK LEARNING

1994 ◽  
Vol 04 (01) ◽  
pp. 23-51 ◽  
Author(s):  
JEROEN DEHAENE ◽  
JOOS VANDEWALLE
Keyword(s):  
Neural Network ◽  
Signal Processing ◽  
Network Structure ◽  
Adaptive Signal Processing ◽  
External Signal ◽  
Neural Network Learning ◽  
Network Learning ◽  
Adaptive Signal

A number of matrix flows, based on isospectral and isodirectional flows, is studied and modified for the purpose of local implementability on a network structure. The flows converge to matrices with a predefined spectrum and eigenvectors which are determined by an external signal. The flows can be useful for adaptive signal processing applications and are applied to neural network learning.

scholarly journals Altered top-down and bottom-up processing of fear conditioning in panic disorder with agoraphobia

2013 ◽  
Vol 44 (2) ◽  
pp. 381-394 ◽  
Author(s):  
U. Lueken ◽  
B. Straube ◽  
I. Reinhardt ◽  
N. I. Maslowski ◽  
H.-U. Wittchen ◽  
...  
Keyword(s):  
Signal Processing ◽  
Panic Disorder ◽  
Fear Conditioning ◽  
Differential Conditioning ◽  
Inferior Frontal Gyrus ◽  
Brain Structures ◽  
Safety Signal ◽  
Top Down ◽  
Bottom Up ◽  
Simple Conditioning

BackgroundAlthough several neurophysiological models have been proposed for panic disorder with agoraphobia (PD/AG), there is limited evidence from functional magnetic resonance imaging (fMRI) studies on key neural networks in PD/AG. Fear conditioning has been proposed to represent a central pathway for the development and maintenance of this disorder; however, its neural substrates remain elusive. The present study aimed to investigate the neural correlates of fear conditioning in PD/AG patients.MethodThe blood oxygen level-dependent (BOLD) response was measured using fMRI during a fear conditioning task. Indicators of differential conditioning, simple conditioning and safety signal processing were investigated in 60 PD/AG patients and 60 matched healthy controls.ResultsDifferential conditioning was associated with enhanced activation of the bilateral dorsal inferior frontal gyrus (IFG) whereas simple conditioning and safety signal processing were related to increased midbrain activation in PD/AG patients versus controls. Anxiety sensitivity was associated positively with the magnitude of midbrain activation.ConclusionsThe results suggest changes in top-down and bottom-up processes during fear conditioning in PD/AG that can be interpreted within a neural framework of defensive reactions mediating threat through distal (forebrain) versus proximal (midbrain) brain structures. Evidence is accumulating that this network plays a key role in the aetiopathogenesis of panic disorder.

scholarly journals A Novel Processing Model for P300 Brainwaves Detection

2021 ◽  
Author(s):  
Wanus Srimaharaj ◽  
Roungsan Chaisricharoen
Keyword(s):  
Signal Processing ◽  
Evoked Potential ◽  
Brain Activity ◽  
Original Data ◽  
Event Related Potential ◽  
Processing Application ◽  
Feature Extraction Method ◽  
Channel Classification ◽  
Novel Processing ◽  
The Individual

Event-related potential (ERP) is a distinctive pattern of brain activity that is elicited by the brain’s sensitivity and cognition whereas P300 evoked potential changes in cognitive functions. Since P300 wave is a cognitive response across multiple brain channels correlated between the measured electroencephalogram (EEG) and deviant stimulus in a specific period, it requires a suitable signal processing application for interpretation. Moreover, multiple steps of data processing under neuroscience criteria make the P300 reflection difficult to analyze by common methods. Therefore, this study proposes the processing model for brainwave applications based on P300 peak signal detection in multiple brain channels. This study applies 64 channels ERP datasets throughout bandpass filter in fast Fourier transform (FFT) with the specific ranges of signal processing while ERP averaging is applied as a feature extraction method. Furthermore, the experimental metadata is applied with the filtered P300 peak signals in channel classification via a machine learning method, the Decision Tree. The experimental results indicate the accurate mental reflection of P300 evoked potential in different brain channels with high classification accuracy relying on the contrast condition throughout the original data source averaged across the individual electrodes.

P50, N100, and P200 Sensory Gating in Panic Disorder

2020 ◽  
Vol 51 (5) ◽  
pp. 317-324 ◽  
Author(s):  
Lars Thoma ◽  
Johannes Rentzsch ◽  
Katharina Gaudlitz ◽  
Nicole Tänzer ◽  
Jürgen Gallinat ◽  
...  
Keyword(s):  
Information Processing ◽  
Panic Disorder ◽  
Cognitive Processing ◽  
Sensory Gating ◽  
Event Related Potential ◽  
Clinical Population ◽  
Healthy Controls ◽  
Auditory Sensory Gating ◽  
Processing Deficits ◽  
Information Processing Deficits

Panic disorder (PD) has been linked to abnormalities in information processing. However, only little evidence has been published for sensory gating in PD. Sensory gating describes the brain’s ability to exclude stimuli of low relevance from higher level information processing, thereby sustaining efficient cognitive processing. Deficits in sensory gating have been associated with various psychiatric conditions, most prominently schizophrenia. In this case-control event-related potential study, we tested 32 patients with PD and 39 healthy controls in a double click paradigm. Both groups were compared with regard to pre-attentive (P50), early-attentive (N100), and late-attentive (P200) sensory gating indices. Contrary to a hypothesized deficit, PD patients and healthy controls showed no differences in P50, N100 and P200 values. These results suggest that sensory gating seems to be functional across the pre-attentive, early-attentive, and late-attentive time span in this clinical population. Given this consistency across auditory sensory gating indices, further research aiming to clarify information processing deficits in PD should focus on other neurophysiological markers to investigate information processing deficits in PD (eg, P300, error-related negativity or mismatch negativity).

Topological signal processing and inference of event-related potential response

2021 ◽  
pp. 109324
Author(s):  
Yuan Wang ◽  
Roozbeh Behroozmand ◽  
Lorelei Phillip Johnson ◽  
Leonardo Bonilha ◽  
Julius Fridriksson
Keyword(s):  
Signal Processing ◽  
Event Related Potential ◽  
Potential Response

Sensory and Cognitive Components of Auditory Processing in Individuals With Tinnitus

2019 ◽  
Vol 28 (4) ◽  
pp. 834-842
Author(s):  
Harini Vasudevan ◽  
Hari Prakash Palaniswamy ◽  
Ramaswamy Balakrishnan
Keyword(s):  
Selective Attention ◽  
Auditory Processing ◽  
Function Analysis ◽  
Event Related Potential ◽  
Oscillatory Activity ◽  
Default Mode ◽  
Auditory Selective Attention ◽  
Cognitive Components ◽  
Mode Function ◽  
Related Potentials

Purpose The main purpose of the study is to explore the auditory selective attention abilities (using event-related potentials) and the neuronal oscillatory activity in the default mode network sites (using electroencephalogram [EEG]) in individuals with tinnitus. Method Auditory selective attention was measured using P300, and the resting state EEG was assessed using the default mode function analysis. Ten individuals with continuous and bothersome tinnitus along with 10 age- and gender-matched control participants underwent event-related potential testing and 5 min of EEG recording (at wakeful rest). Results Individuals with tinnitus were observed to have larger N1 and P3 amplitudes along with prolonged P3 latency. The default mode function analysis revealed no significant oscillatory differences between the groups. Conclusion The current study shows changes in both the early sensory and late cognitive components of auditory processing. The change in the P3 component is suggestive of selective auditory attention deficit, and the sensory component (N1) suggests an altered bottom-up processing in individuals with tinnitus.

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