Hemodynamic and behavioral peculiarities in response to emotional stimuli in children with attention deficit hyperactivity disorder: An fNIRS study

Mauri, Maddalena; Grazioli, Silvia; Crippa, Alessandro; Bacchetta, Andrea; Pozzoli, Uberto; Bertella, Silvana; Gatti, Erika; Maggioni, Eleonora; Rosi, Eleonora; Diwadkar, Vaibhav A.; Brambilla, Paolo; Molteni, Massimo; Nobile, Maria

doi:10.1016/j.jad.2020.08.064

Cited by 21 publications

(13 citation statements)

References 21 publications

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“…The present work is a repeated-measures observational study representing the extension of a cross-sectional observational work that was previously published by our research group [36]. We recruited drug-naïve children with ADHD with a high Clinical Global Impression-Severity (CGI-S) score (≥4) [37], who received an MPH prescription after being admitted to our institute's Child Psychopathology Unit.…”

Section: Methodsmentioning

confidence: 99%

“…The Emotional Continuous Performance Task (e-CPT) [36,50] was performed by children during the fNIRS recording. The e-CPT is a task that is designed to examine attentional, executive, and emotional processes during the task.…”

Section: Methodsmentioning

confidence: 99%

“…(5) fNIRS data acquisition Details regarding the fNIRS data acquisition are described in Mauri and colleagues' work [36]. Optode positions, source-detector combinations, and corresponding channel numbers are illustrated in Figure 1.…”

Section: Methodsmentioning

confidence: 99%

“…HbO and HbR signals were averaged in four regions of interest (ROIs) that were identified as follows: (i) left prefrontal (channels 1-3), (ii) right prefrontal (channels 8-10), (iii) left frontal (channels 4-7), and (iv) right frontal (channels [11][12][13][14]. We focused the statistical analyses on the HbO data because no significant effect was previously found for HbR data [36].…”

Section: Methodsmentioning

confidence: 99%

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Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis

et al. 2021

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Individual responses to methylphenidate (MPH) can significantly differ in children with attention-deficit/hyperactivity disorder (ADHD) in terms of the extent of clinical amelioration, optimal dosage needed, possible side effects, and short- and long-term duration of the benefits. In the present repeated-measures observational study, we undertook a proof-of-concept study to determine whether clustering analysis could be useful to characterize different clusters of responses to MPH in children with ADHD. We recruited 33 children with ADHD who underwent a comprehensive clinical, cognitive, and neurophysiological assessment before and after one month of MPH treatment. Symptomatology changes were assessed by parents and clinicians. The neuropsychological measures used comprised pen-and-paper and computerized tasks. Functional near-infrared spectroscopy was used to measure cortical hemodynamic activation during an attentional task. We developed an unsupervised machine learning algorithm to characterize the possible clusters of responses to MPH in our multimodal data. A symptomatology improvement was observed for both clinical and neuropsychological measures. Our model identified distinct clusters of amelioration that were related to symptom severity and visual-attentional performances. The present findings provide preliminary evidence that clustering analysis can potentially be useful in identifying different responses to MPH in children with ADHD, highlighting the importance of a personalized medicine approach within the clinical framework.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis

et al. 2021

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“…Yet, brain connectivity is inherently dynamic, especially when involving task-evoked neural activities [22]. A recent fNIRS study [23] investigated emotional dysregulation in children with attention-deficit/hyperactivity disorder (ADHD), and examined them using cortical activation (i.e., hemodynamic concentration changes). However, Sutoko et al [24] demonstrated that dynamic FC could provide a better performance than hemodynamic activation in screening ADHD children whom often display lack of emotion recognition [25].…”

Section: Introductionmentioning

confidence: 99%

Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity

Tang

Chong

Kiguchi

et al. 2021

IEEE Trans. Neural Syst. Rehabil. Eng.

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In this study, we proposed an analytical framework to identify dynamic task-based functional connectivity (FC) features as new biomarkers of emotional sensitivity in nursing students, by using a combination of unsupervised and supervised machine learning techniques. The dynamic FC was measured by functional Near-Infrared Spectroscopy (fNIRS), and computed using a sliding window correlation (SWC) analysis. A k-means clustering technique was applied to derive four recurring connectivity states. The states were characterized by both graph theory and semi-metric analysis. Occurrence probability and state transition were extracted as dynamic FC network features, and a Random Forest (RF) classifier was implemented to detect emotional sensitivity. The proposed method was trialled on 39 nursing students and 19 registered nurses during decisionmaking, where we assumed registered nurses have developed strategies to cope with emotional sensitivity. Emotional stimuli were selected from International Affective Digitized Sound System (IADS) database. Experiment results showed that registered nurses demonstrated single dominant connectivity state of taskrelevance, while nursing students displayed in two states and had higher level of task-irrelevant state connectivity. The results also showed that students were more susceptive to emotional stimuli, and the derived dynamic FC features provided a stronger discriminating power than heart rate variability (accuracy of 81.65% vs 71.03%) as biomarkers of emotional sensitivity. This work forms the first study to demonstrate the stability of fNIRS based dynamic FC states as a biomarker. In conclusion, the results support that the state distribution of dynamic FC could help reveal the differentiating factors between the nursing students and registered nurses during decision making, and it is anticipated that the biomarkers might be used as indicators when developing professional training related to emotional sensitivity.

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Brain Imaging in Psychiatry

Nosari,

Delvecchio,

Diwadkar

et al. 2023

Tasman’s Psychiatry

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Hemodynamic and behavioral peculiarities in response to emotional stimuli in children with attention deficit hyperactivity disorder: An fNIRS study

Cited by 21 publications

References 21 publications

Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis

Patterns of Response to Methylphenidate Administration in Children with ADHD: A Personalized Medicine Approach through Clustering Analysis

Detection of Emotional Sensitivity Using fNIRS Based Dynamic Functional Connectivity

Brain Imaging in Psychiatry

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