Psychostimulants Effects on Brain Functional Connectivity in Youth With Attention Deficit Hyperactivity Disorder
NCT02318017, Not applicable, Unknown, Sheba Medical Center
Trial 10
As registered on ClinicalTrials.gov, in the graph's capture of the registry.
| Field | Value | Source |
|---|---|---|
| Title | Psychostimulants Effects on Brain Functional Connectivity in Youth With Attention Deficit Hyperactivity Disorder | ClinicalTrials.gov |
| NCT number | NCT02318017 | ClinicalTrials.gov |
| Status | Unknown | ClinicalTrials.gov |
| Phases | Not applicable | ClinicalTrials.gov |
| Enrollment | 75 participants, estimated | ClinicalTrials.gov |
| Lead sponsor | Sheba Medical Center | ClinicalTrials.gov |
| Conditions | Adhd | ClinicalTrials.gov |
| Interventions | Methylphenidate, Placebo | ClinicalTrials.gov |
| First posted | 2014-12-17 | ClinicalTrials.gov |
| Last updated | 2014-12-17 | ClinicalTrials.gov |
Registered outcomes 8
Each outcome the trial registered, primary first, in ClinicalTrials.gov's words.
| List | Outcome | Time frame | Description | Source |
|---|---|---|---|---|
| Primary | Baseline Complex Network connectivity before treatment - using electrodes signal correlation (P-value) | 0 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at baseline before MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Primary | Baseline Complex Network connectivity after treatment - using electrodes signal correlation (P-value) | 90 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at baseline after MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Secondary | Complex Network connectivity at Sustained Attention task before treatment - using electrodes signal correlation (P-value) | 11 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at Sustained attention task before MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Secondary | Complex Network connectivity at N-Back task before treatment - using electrodes signal correlation (P-value) | 24 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at N-Back task before MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Secondary | Complex Network connectivity at the Stroop task before treatment - using electrodes signal correlation (P-value) | 30 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at the Stroop task before MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Secondary | Complex Network connectivity at Sustained Attention task after treatment - using electrodes signal correlation (P-value) | 101 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at Sustained Attention task after MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Secondary | Complex Network connectivity at N-Back task after treatment - using electrodes signal correlation (P-value) | 114 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at N-Back task after MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
| Secondary | Complex Network connectivity at the Stroop task after treatment - using electrodes signal correlation (P-value) | 120 minutes | Complex network is measured by metrics that are calculated using graph-theory analysis methods that enable the characterization of the architecture of complex networks. The network is constructed from the EEG signals by correlating the signals between all pairs of electrodes, assuming that each two electrodes that are correlated above a pre-determined threshold are functionally connected and with higher correlation the higher network connectivity. Assessed at the Stroop task after MPH\\Placebo according to the above time frames. | ClinicalTrials.gov |
Outcomes 0
Each outcome the trial posted results for, in ClinicalTrials.gov's words.
| Type | Outcome | Time frame | Population | Units | Measured as | Source |
|---|
Results by group 0
Each measurement the trial posted, group by group, in the words and numbers it posted.
| Outcome | Group | Category | Value | Spread | Units | Source |
|---|
Participant flow 0
How many started, completed or left each group, period by period.
| Period | Milestone | Group | Participants | Units counted | Source |
|---|
Adverse events 0
Each adverse event the trial posted, group by group: the participants affected out of those at risk.
| Type | Event | Organ system | Group | Affected | At risk | Events | Source |
|---|
Adverse event totals 0
The totals the trial posted for each group.
| Total | Group | Affected | At risk | Source |
|---|
Papers 1
The papers the trial lists on ClinicalTrials.gov.
| PMID | Listed as | Source |
|---|---|---|
| 30919658 | DERIVED | PubMed |
Grants 0
The grants NIH RePORTER links to the trial, newest funded first: NIH's, and some of AHRQ's, CDC's, FDA's and VA's. Each shows its title, principal investigators, organization and funder in its newest year.
| Project | Title | Principal investigators | Organization | Funder | Fiscal years | Source |
|---|
Trial comparisons 0
Comparisons of the trial's two groups, calculated by ConductScience from the counts it posted.
| Comparison | Source |
|---|
Tests 3
The ConductCognition tests this trial's registered outcomes name, as ScienceGraph matched them in trial-tests-2026-11-12-0.2.1.
| Test | Named as | Source |
|---|---|---|
| 1-Back Task | Secondary outcome | ConductCognition |
| 2-Back Task | Secondary outcome | ConductCognition |
| Stroop Color-Word Test | Secondary outcome | ConductCognition |
Source 5
| Field | Value | Source |
|---|---|---|
| Release | trials-2026-11-12-0.4.0 | ClinicalTrials.gov |
| Release manifest SHA-256 | 0f4a8d8c48aee2a7573ae0fa94ecbeab70c1adbe449bbc95c424bc7d3e97b9d4 | ClinicalTrials.gov |
| Registry capture | 2026-11-12 | ClinicalTrials.gov |
| Results copy, AACT | 2026-03-23 | ClinicalTrials.gov |
| NIH clinical studies file | 2026-11-13 | ClinicalTrials.gov |
Release trials-2026-11-12-0.4.0
ClinicalTrials.gov's posted results, through CTTI's AACT: ClinicalTrials.gov data via Aggregate Analysis of ClinicalTrials.gov (AACT), CTTI. CTTI makes its materials freely available and requests acknowledgement. https://aact.ctti-clinicaltrials.org/documentation/299 ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
ClinicalTrials.gov: none stated ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.
NIH RePORTER's clinical studies and project files: Public domain (NIH RePORTER)