scholarly journals Characterization of spatio-temporal epidural event-related potentials for mouse models of psychiatric disorders

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Xin Wang ◽  
António Pinto-Duarte ◽  
M. Margarita Behrens ◽  
Xianjin Zhou ◽  
Terrence J. Sejnowski
Keyword(s):  
Psychiatric Disorders ◽  
Mouse Models ◽  
Event Related Potentials ◽  
Related Potentials ◽  
Spatio Temporal

Extracting Spatio-temporal Feature for Classification of Event-related Potentials*

2011 ◽  
Vol 38 (9) ◽  
pp. 866-871 ◽  
Author(s):  
Zhi-Hua HUANG ◽  
Ming-Hong LI ◽  
Yuan-Ye MA ◽  
Chang-Le ZHOU
Keyword(s):  
Event Related Potentials ◽  
Related Potentials ◽  
Spatio Temporal ◽  
Temporal Feature

Event-Related Potentials in Psychiatry: Approaches to Research and Clinical Applications

1983 ◽  
Vol 17 (4) ◽  
pp. 307-318 ◽  
Author(s):  
H. G. Stampfer
Keyword(s):  
Information Processing ◽  
Psychiatric Disorders ◽  
Rapid Development ◽  
Event Related Potentials ◽  
Clinical Applications ◽  
Direct Access ◽  
Practical Application ◽  
Clinical Methods ◽  
Related Potentials ◽  
The Brain

This article suggests that the potential usefulness of event-related potentials in psychiatry has not been fully explored because of the limitations of various approaches to research adopted to date, and because the field is still undergoing rapid development. Newer approaches to data acquisition and methods of analysis, combined with closer co-operation between medical and physical scientists, will help to establish the practical application of these signals in psychiatric disorders and assist our understanding of psychophysiological information processing in the brain. Finally, it is suggested that psychiatrists should seek to understand these techniques and the data they generate, since they provide more direct access to measures of complex cerebral processes than current clinical methods.

Comparison of Early Cortical Networks in Efficient and Inefficient Visual Search: An Event-Related Potential Study

2003 ◽  
Vol 15 (7) ◽  
pp. 1039-1051 ◽  
Author(s):  
Ute Leonards ◽  
Julie Palix ◽  
Christoph Michel ◽  
Vicente Ibanez
Keyword(s):  
Event Related Potentials ◽  
Temporal Correlation ◽  
Temporal Analysis ◽  
Search Display ◽  
Stimulus Onset ◽  
Event Related Potential ◽  
Time Range ◽  
Cortical Networks ◽  
Related Potentials ◽  
Spatio Temporal

Functional magnetic resonance imaging studies have indicated that efficient feature search (FS) and inefficient conjunction search (CS) activate partially distinct frontoparietal cortical networks. However, it remains a matter of debate whether the differences in these networks reflect differences in the early processing during FS and CS. In addition, the relationship between the differences in the networks and spatial shifts of attention also remains unknown. We examined these issues by applying a spatio-temporal analysis method to high-resolution visual event-related potentials (ERPs) and investigated how spatio-temporal activation patterns differ for FS and CS tasks. Within the first 450 msec after stimulus onset, scalp potential distributions (ERP maps) revealed 7 different electric field configurations for each search task. Configuration changes occurred simultaneously in the two tasks, suggesting that contributing processes were not significantly delayed in one task compared to the other. Despite this high spatial and temporal correlation, two ERP maps (120–190 and 250–300 msec) differed between the FS and CS. Lateralized distributions were observed only in the ERP map at 250–300 msec for the FS. This distribution corresponds to that previously described as the N2pc component (a negativity in the time range of the N2 complex over posterior electrodes of the hemisphere contralateral to the target hemifield), which has been associated with the focusing of attention onto potential target items in the search display. Thus, our results indicate that the cortical networks involved in feature and conjunction searching partially differ as early as 120 msec after stimulus onset and that the differences between the networks employed during the early stages of FS and CS are not necessarily caused by spatial attention shifts.

Event-Related Potentials

2017 ◽  
Author(s):  
Marco Congendo ◽  
Fernando H. Lopes da Silva
Keyword(s):  
Principal Component ◽  
Event Related Potentials ◽  
Component Analysis ◽  
Statistical Testing ◽  
Time Averaging ◽  
Common Spatial Pattern ◽  
Topographic Analysis ◽  
Temporal Filtering ◽  
Related Potentials ◽  
Spatio Temporal

Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We emphasize basic concepts of principal component analysis, common spatial pattern, and blind source separation, including independent component analysis. We cover practical questions related to the averaging procedure: overlapping ERPs, correcting inter-sweep latency and amplitude variability, alternative averaging methods (e.g., median), and estimation of ERP onset. Some specific aspects of ERP analysis in the frequency domain are surveyed, along with topographic analysis, statistical testing, and classification methods.

scholarly journals High Intellectual Potential and High Functioning Autism: Clinical and Neurophysiological Features in a Pediatric Sample

2021 ◽  
Vol 11 (12) ◽  
pp. 1607
Author(s):  
Assia Riccioni ◽  
Stefano Pro ◽  
Lorena Di Criscio ◽  
Monica Terribili ◽  
Martina Siracusano ◽  
...  
Keyword(s):  
Potential Role ◽  
High Functioning Autism ◽  
Event Related Potentials ◽  
Adaptive Skills ◽  
High Functioning ◽  
Related Potentials ◽  
Autistic Symptoms ◽  
Intellectual Potential

High Intellectual Potential (HIP) and High Functioning Autism (HFA) are two different conditions sharing some clinical and neurobiological features. The aim of the present study was to characterize a sample of HIP children (n: 16; M/F: 14/2; median age: 10 years) in comparison to those with HFA (n: 17; M/F: 16/1; median age: 13 years) and to neurotypically developed (NTD) children (n: 10; M/F: 4/6; median age: 11 years) from a clinical and neurophysiological perspective. Specifically, a standardized clinical assessment of cognitive and adaptive skills, autistic symptoms, executive functions and behavioral features was performed. Moreover, event-related potentials (ERPs) were recorded, referring specifically to the mismatch negativity (MMN) and P300 paradigm. Our data highlighted the presence of similarities between the intellectually gifted individuals and the ones with autism (i.e., a nonhomogeneous intellective profile, an adaptive skills impairment, subthreshold autistic symptoms and increased perfectionism). Interestingly, a distinct neurophysiological characterization between groups came out, with evidence of a reduced MMN amplitude only in the HFA group. Furthermore, no differences within groups in the P300 component emerged. Therefore, our results start to provide a more informative characterization of the HIP phenotype in comparison to those of HFA and NTD, highlighting the potential role of the MMN amplitude index in helping clinicians and researchers to distinguish between HIP and HFA. Nevertheless, further research on the topic is strongly needed.

Integrative Neuroscience in Psychiatry: The Role of a Standardized Database

2003 ◽  
Vol 11 (2) ◽  
pp. 156-163 ◽  
Author(s):  
Evian Gordon
Keyword(s):  
Psychiatric Disorders ◽  
Rhode Island ◽  
Statistical Tests ◽  
Event Related Potentials ◽  
Psychiatric Research ◽  
Grey Matter Volume ◽  
Speed Of Processing ◽  
Cortical Arousal ◽  
Related Potentials ◽  
Male Subjects

Objective: Databases bring together diverse information in neuroimaging and psychiatry. They usually aim for both size and diversity of measures. The present article outlines the potential insights from the first entirely standardized and centralized International Brain Database. Method: The database consists of data from over 1000 normal subjects (age range 6-70 years) and a growing number of age-matched patients with a psychiatric illness, acquired from seven laboratories (New York, Rhode Island, London, Holland, Adelaide, Melbourne and Sydney). It is an ‘integrative’ neuroimaging (electroencephalography (EEG), event-related potentials (ERP), structural and functional magnetic resonance imaging (sMRI, fMRI)), psychometric, demographic and genomic database. Results: The most notable relationships in normal controls thus far include (i) an association between grey matter volume and EEG alpha frequency in frontal regions; (ii) a systematic reduction with age in cortical arousal (EEG power), speed of processing (ERP components) and most aspects of cognitive function, particularly for >50 years; (iii) a greater cortical arousal in female versus male subjects, but slower speed of processing; and (iv) a dissociation between speed (greater in male subjects) and accuracy/verbal processing (greater in female subjects) for psychological tasks. There is potential to explore the specificity of findings in psychiatric disorders in this international standardized database. Conclusions: The size of this database has allowed for statistical tests of greater power than normal. The combination of size and diversity of measure has broader significance in providing a normative framework for evidence-based psychiatric research. It enables control for widespread individual differences, enhancing investigations of the sensitivity and specificity of brain findings, and the efficacy of medication in psychiatric disorders.

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