Comparison of domain specific connectivity metrics for estimation brain network indices in boys with ADHD-C

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dc.contributor.authorAydin, Serap
dc.contributor.authorCetin, Fatih Hilmi
dc.contributor.authorUytun, Merve Cikih
dc.contributor.authorBabadagi, Zehra
dc.contributor.authorGueven, Ahmet Sami
dc.contributor.authorIsik, Yasemen
dc.date.accessioned2024-02-23T14:02:22Z
dc.date.available2024-02-23T14:02:22Z
dc.date.issued2022
dc.departmentNEÜen_US
dc.description.abstractThe goal of the present study is to propose the use of global connectivity measures as quantitative indicators of long-term medication in pediatric patients with Attention-Deficit-Hyperactivity Disorder, combined type (ADHD-C). For this purpose, graph theoretical brain connectivity indices ar e computed from connectivity estimations across eyes-opened resting-state EEG recordings measured before and after the treatment with osmotic release oral system-methylphenidate for a month in 18 boys (aged between 7-12 years). In order to present the reliable results, neurofunctional correlations are firstly estimated in time (Pearson Correlation (PC), Spearman Corre-lation), frequency (Directed Transfer Function, Partial Directed Coherence) and phase (Phase Locking Value, Phase Lag Index) domains in between short segments of 2sec over single trials of 1m i n . Later, transitivit y , clustering coefficients, assortativity, global efficiency and modularity are computed from EEG based connectivit y matrices produced by each approach. Since the highest classification accuracy of 83.79% is provided by PC, statistical tests (one-way Anova, pair-wise multiple comparison) and step-wise logistic regression modelling are a l l examined to detect significant differences between pre-and post-treatment relevant connectivity measures. Statistical boxplots are also shown, as well. Overal l results reveal that global brain connectivity can be increased by long-term medication in pediatric ADHD-C in terms of increased segregation & resilience. This is the first study to demonstrate that long-term medication can normalize the functional brain connectivity in ADHD, which is characterized by decreased connectivity compared to controls.en_US
dc.identifier.doi10.1016/j.bspc.2022.103626
dc.identifier.issn1746-8094
dc.identifier.issn1746-8108
dc.identifier.scopus2-s2.0-85127042791en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.bspc.2022.103626
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11677
dc.identifier.volume76en_US
dc.identifier.wosWOS:000790411500002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofBiomedical Signal Processing And Controlen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectPearson Correlationen_US
dc.subjectBr A I N Connectivityen_US
dc.subjectGraph Theoryen_US
dc.subjectEegen_US
dc.subjectAdhden_US
dc.titleComparison of domain specific connectivity metrics for estimation brain network indices in boys with ADHD-Cen_US
dc.typeArticleen_US

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