EEG Dynamics and Neural Generators in Implicit Navigational Image Processing in Adults with ADHD

Leroy, Axelle; Petit, Géraldine; Zarka, David; Cebolla, Ana Maria; Palmero‐Soler, Ernesto; Strul, J.; Dan, Bernard; Verbanck, Paul; Chéron, Guy

doi:10.1016/j.neuroscience.2018.01.022

Cited by 18 publications

(19 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Our analyses comparing adults with and without ADHD (aim 1) on EEG measures of attentional processes primarily focused on event-related modulations in brain oscillations derived through time-frequency EEG analyses, which provide fine-grained information on brain functioning [ 10 ]. In line with our hypotheses based on previous oscillatory findings in ADHD [ 37 , 49 ], individuals with ADHD showed reduced alpha and beta suppression over parietal regions during No-Go trials. These atypical patterns in alpha and beta suppression emerged as significant during the later time window (600−1000 ms), indicating that adults with ADHD are impaired during the interval between stimuli.…”

Section: Discussionsupporting

confidence: 91%

“…Consistent with previous literature [ 52 , 30 , 53 ], we segmented the trials into early and late window to measure modulations of power over the trial. In our data, alpha and beta were more prominent after 200 ms, in line with several other studies [ 27 , 30 , 38 , 49 , 54 ]. We therefore measured these rhythms using 200−600 ms and 600−1000 ms for alpha/beta, and 0−500 ms and 500−1000 ms for theta ( Fig.…”

Section: Methodssupporting

confidence: 93%

“…This approach optimises the trade-off between temporal resolution at lower frequencies and frequency resolution at higher frequencies, allowing for improved frequency resolution at higher frequencies. This approach was also chosen to measure theta oscillations despite our short task windows and is consistent with several time-frequency studies that also used two cycles at the lowest frequency [ 30 , 37 , 49 ]. Each ERSP trial was normalised with respect to the mean log-power spectrum from the -500 to 0 ms pre-stimulus period.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Electrophysiological correlates of spontaneous mind wandering in attention-deficit/hyperactivity disorder

Bozhilova

Cooper

Kuntsi

et al. 2020

Behavioural Brain Research

View full text Add to dashboard Cite

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Methodssupporting

confidence: 93%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Electrophysiological correlates of spontaneous mind wandering in attention-deficit/hyperactivity disorder

Bozhilova

Cooper

Kuntsi

et al. 2020

Behavioural Brain Research

View full text Add to dashboard Cite

show abstract

“…The recording will demonstrate the electrical activity for a particular task at a particular moment in time. Of the studies included in this review, Leroy et al (32) in a visual attention study, found a decrease in neural networks in adult ADHD, suggesting compromised early cortical stages of visual processing. Herrmann et al (29) reported the first study looking at neural correlates of error processing, finding post error slowing in adults (mean age of 24.2 years) but not observed in an older sub group of adult ADHD (mean age of 40.9 years).…”

Section: Discussionmentioning

confidence: 98%

EEG for Diagnosis of Adult ADHD: A Systematic Review With Narrative Analysis

Adamou¹,

Fullen

Jones

2020

Front. Psychiatry

View full text Add to dashboard Cite

Background: Attention deficit hyperactivity disorder is a common neurodevelopmental disorder characterized by symptoms of inattention, hyperactivity and or impulsivity. Since the development of the concept, a reliable biomarker to aid diagnosis has been sought. One potential method is the use of electroencephalogram to measure neuronal activity. The aim of this review is to provide an up to date synthesis of the literature surrounding the potential use of electroencephalogram for diagnosis of attention deficit hyperactivity disorder in adulthood. Methods: A search of PsycINFO, PubMed, and EMBASE was undertaken in February 2019 for peer-reviewed articles exploring electroencephalogram patterns in adults (18 years with no upper limit) diagnosed with attention deficit hyperactivity disorder. Results: Differences in electroencephalogram activity are potentially unique to adult attention deficit hyperactivity disorder populations. Strongest support was derived for elevated levels of both absolute and relative theta power, alongside the observation that alpha activity is able to typically differentiate between adult attention deficit hyperactivity disorder and normative populations. Conclusions: Electroencephalogram can have a use in clinical settings to aid adult attention deficit hyperactivity disorder diagnosis, but areas of inconsistency are apparent.

show abstract

“…electroencephalography (EEG) recordings represents a new field of interest [18][19][20] . Additionally, recent advances in the high-density EEG approach, coupled with inverse modelling methods [21][22][23][24][25] for the detection of neural cortical and subcortical generators 26 , have paved the way for electrophysiological exploration of the flow state experienced in human participants.…”

mentioning

confidence: 99%

EEG dynamics and neural generators of psychological flow during one tightrope performance

Leroy

Chéron

2020

Sci Rep

Self Cite

View full text Add to dashboard Cite

Psychological "flow" emerges from a goal requiring action, and a match between skills and challenge. Using high-density electroencephalographic (EEG) recording, we quantified the neural generators characterizing psychological "flow" compared to a mindful "stress" state during a professional tightrope performance. Applying swLORETA based on self-reported mental states revealed the right superior temporal gyrus (BA38), right globus pallidus, and putamen as generators of delta, alpha, and beta oscillations, respectively, when comparing "flow" versus "stress". Comparison of "stress" versus "flow" identified the middle temporal gyrus (BA39) as the delta generator, and the medial frontal gyrus (BA10) as the alpha and beta generator. These results support that "flow" emergence required transient hypo-frontality. Applying swLORETA on the motor command represented by the tibialis anterior EMG burst identified the ipsilateral cerebellum and contralateral sensorimotor cortex in association with on-line control exerted during both "flow" and "stress", while the basal ganglia was identified only during "flow". Over 40 years ago, Csikszentmihalyi 1 first introduced the concept of psychological "flow", defined as a singular mental state accompanying exceptional performance, which was later popularized as being "in the zone" 2. It is generally accepted that this exceptional state emerges from a clear goal that requires action, and a perfect match between specific skills and challenges 3-5. It is a unique sensation, accompanied by a transformation of time, which most commonly occurs in persons engaged in high-skill motor practices, such as champion athletes 6,7 and musicians 8-11. Psychological "flow" may also be considered a specific state of consciousness requiring involvement of the cortical areas participating in the neural correlates of consciousness (NCC). The NCC was initially defined by Crick and Koch 12 in 1990 as the minimal neuronal mechanisms jointly sufficient for any specific conscious experience, and the full NCC is considered the union of all content-specific NCCs 13,14. We hypothesized that flow identity may be an emergent conscious experience involving specific recruitment among the neural network of the NCC. This notion is supported by the idea that some brain functions necessitate an efficient network of connections and once such coordinated complexity is attained, the emergent properties of consciousness happen, producing the flow sensation. As this sensation goes along with or follows movement, a functional tradeoff between external and internal force must be continuously controlled. The sensation of flow would emerge in a particular physiological state where (1) an appropriate central resting state, including memorized items and motivation is present, (2) the initial intention must be translated by the descending motor commands to the muscles in order to generate forces and displacements, and (3) the ascending somesthetic signals must produce ideal feedback sensations closing the loop between action and sen...

show abstract

EEG Dynamics and Neural Generators in Implicit Navigational Image Processing in Adults with ADHD

Cited by 18 publications

References 84 publications

Electrophysiological correlates of spontaneous mind wandering in attention-deficit/hyperactivity disorder

Electrophysiological correlates of spontaneous mind wandering in attention-deficit/hyperactivity disorder

EEG for Diagnosis of Adult ADHD: A Systematic Review With Narrative Analysis

EEG dynamics and neural generators of psychological flow during one tightrope performance

Contact Info

Product

Resources

About