Grant: Discovery Grants Program - Individual
Brock University
$40,000.00
ERPs and the Dynamics of Adaptive Attentional Control in the Prefrontal Cortex
EF 2018-19
Résumé
Brain electrical activity as measured at the scalp has been a staple of research on cognitive and emotional information processing using two strategies: one uses ongoing brainwave patterns in the EEG and the other uses EEG segments, known as event-related potentials, that are time-locked to repeated important mental events such as the perception of a stimulus. In both cases, one needs to average over many trials to find the associated consistent patterns, resulting in two serious limitations of these traditional methods: (1) since the scalp EEG represents a mixture of signals from various cortical networks, it is difficult to be specific about the relationship between the activity measured at the scalp and the neural function of interest; and (2) there is no information available concerning the dynamic relations between these neural functions across regions of the cortex. We now have ways to address both these limitations and make them practical for both the research lab and the clinic. We propose that these measures have promise of being more sensitive than standard assessment measures used in either setting.* Our research questions involve processes associated with two specific brain regions - the frontal cortex that is central for adapting one's behaviour to changed or unexpected circumstances, and the visual cortex while processing complex stimuli such as human faces. We have demonstrated relations between these brain regions and personality, brain development, and specifics of visual information processing, all using standard measures despite the limitations indicated above. However, we are now applying procedures for mapping the dynamic relations between frontal lobe tissue and the visual cortex, which we think account for how social and cognitive factors influence early visual perceptual processes. We will also apply these techniques in clinical settings to capture cognitive functioning in neurological conditions where other measures have less success, such as in very early stages of dementia, post-concussive syndrome, and the assessment of cognitive activity in individuals with minimal levels of consciousness.*
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
122222-2013
Name nom
Segalowitz, Sidney
Department département
Psychology
Organization id
22
Institution établissement
Brock University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2013
Award amount
40000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
6308
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Behavioural neuroscience
Research subject fr
Neurologie du comportement
Partie
5
Nb partie
5
Application title
ERPs and the Dynamics of Adaptive Attentional Control in the Prefrontal Cortex
Keyword
NSERC
Application summary
Brain electrical activity as measured at the scalp has been a staple of research on cognitive and emotional information processing using two strategies: one uses ongoing brainwave patterns in the EEG and the other uses EEG segments, known as event-related potentials, that are time-locked to repeated important mental events such as the perception of a stimulus. In both cases, one needs to average over many trials to find the associated consistent patterns, resulting in two serious limitations of these traditional methods: (1) since the scalp EEG represents a mixture of signals from various cortical networks, it is difficult to be specific about the relationship between the activity measured at the scalp and the neural function of interest; and (2) there is no information available concerning the dynamic relations between these neural functions across regions of the cortex. We now have ways to address both these limitations and make them practical for both the research lab and the clinic. We propose that these measures have promise of being more sensitive than standard assessment measures used in either setting.* Our research questions involve processes associated with two specific brain regions - the frontal cortex that is central for adapting one's behaviour to changed or unexpected circumstances, and the visual cortex while processing complex stimuli such as human faces. We have demonstrated relations between these brain regions and personality, brain development, and specifics of visual information processing, all using standard measures despite the limitations indicated above. However, we are now applying procedures for mapping the dynamic relations between frontal lobe tissue and the visual cortex, which we think account for how social and cognitive factors influence early visual perceptual processes. We will also apply these techniques in clinical settings to capture cognitive functioning in neurological conditions where other measures have less success, such as in very early stages of dementia, post-concussive syndrome, and the assessment of cognitive activity in individuals with minimal levels of consciousness.*