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canlab fmri toolbox  (Neuroscience Lab)

 
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    Neuroscience Lab canlab fmri toolbox
    A Timeline of events. In each session, participants were given an oral dose of methylphenidate (MP) or placebo at time 0; the [ 11 C] Raclopride bolus injection and simultaneous <t>PET-fMRI</t> scanning started at 30 min; an IV dose of MP or placebo was given at 60 min; and throughout the duration of the session participants used a button box in the scanner to self-report their experience of ‘high’ to the drug. B An example subject’s session structure. Participants three separate imaging sessions on different days. Sessions were identical except for drug condition: (Session 1) oral PLA and IV PLA; (Session 2) oral MP (60 mg) and IV PLA (3 cc saline); (Session 3) oral PLA and IV MP (0.25 mg/kg in 3 cc sterile water). The session order was counterbalanced across participants. C Analysis schema. With PET data, minute-to-minute changes in dopamine receptor binding were used to estimate the rate of dopamine increases in response to MP (decreases in D2 receptor binding following MP are a proxy for dopamine increases). With fMRI data, we calculated minute-to-minute changes in global brain connectivity across the scan session. We then performed multiple regression to identify global brain connectivity patterns that were temporally associated with slow and fast dopamine increases. Finally, we parcellated these maps to show how dopamine rate-associated patterns of global brain connectivity were distributed across large-scale brain functional networks.
    Canlab Fmri Toolbox, supplied by Neuroscience Lab, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/canlab+fmri+toolbox/canlab+fmri+toolbox/pmc11039764-127-44-38
    Average 90 stars, based on 1 article reviews
    canlab fmri toolbox - by Bioz Stars, 2026-10
    90/100 stars

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    1) Product Images from "Brain connectivity changes to fast versus slow dopamine increases"

    Article Title: Brain connectivity changes to fast versus slow dopamine increases

    Journal: Neuropsychopharmacology

    doi: 10.1038/s41386-024-01803-8

    A Timeline of events. In each session, participants were given an oral dose of methylphenidate (MP) or placebo at time 0; the [ 11 C] Raclopride bolus injection and simultaneous PET-fMRI scanning started at 30 min; an IV dose of MP or placebo was given at 60 min; and throughout the duration of the session participants used a button box in the scanner to self-report their experience of ‘high’ to the drug. B An example subject’s session structure. Participants three separate imaging sessions on different days. Sessions were identical except for drug condition: (Session 1) oral PLA and IV PLA; (Session 2) oral MP (60 mg) and IV PLA (3 cc saline); (Session 3) oral PLA and IV MP (0.25 mg/kg in 3 cc sterile water). The session order was counterbalanced across participants. C Analysis schema. With PET data, minute-to-minute changes in dopamine receptor binding were used to estimate the rate of dopamine increases in response to MP (decreases in D2 receptor binding following MP are a proxy for dopamine increases). With fMRI data, we calculated minute-to-minute changes in global brain connectivity across the scan session. We then performed multiple regression to identify global brain connectivity patterns that were temporally associated with slow and fast dopamine increases. Finally, we parcellated these maps to show how dopamine rate-associated patterns of global brain connectivity were distributed across large-scale brain functional networks.
    Figure Legend Snippet: A Timeline of events. In each session, participants were given an oral dose of methylphenidate (MP) or placebo at time 0; the [ 11 C] Raclopride bolus injection and simultaneous PET-fMRI scanning started at 30 min; an IV dose of MP or placebo was given at 60 min; and throughout the duration of the session participants used a button box in the scanner to self-report their experience of ‘high’ to the drug. B An example subject’s session structure. Participants three separate imaging sessions on different days. Sessions were identical except for drug condition: (Session 1) oral PLA and IV PLA; (Session 2) oral MP (60 mg) and IV PLA (3 cc saline); (Session 3) oral PLA and IV MP (0.25 mg/kg in 3 cc sterile water). The session order was counterbalanced across participants. C Analysis schema. With PET data, minute-to-minute changes in dopamine receptor binding were used to estimate the rate of dopamine increases in response to MP (decreases in D2 receptor binding following MP are a proxy for dopamine increases). With fMRI data, we calculated minute-to-minute changes in global brain connectivity across the scan session. We then performed multiple regression to identify global brain connectivity patterns that were temporally associated with slow and fast dopamine increases. Finally, we parcellated these maps to show how dopamine rate-associated patterns of global brain connectivity were distributed across large-scale brain functional networks.

    Techniques Used: Injection, Imaging, Saline, Sterility, Binding Assay, Functional Assay

    Related Articles

    Functional Assay:

    Article Title: Brain connectivity changes to fast versus slow dopamine increases
    Article Snippet: .. We did not a priori hypothesize a single specific region whose dopamine rate-associated connectivity would be associated with ‘high’, so for exploratory testing we parcellated the GBC maps into large-scale functional networks based on the Cognitive and Affective Neuroscience Lab combined atlas in the canlab fMRI toolbox (canlab.github.io). ..



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    canlab fmri toolbox  (Neuroscience Lab)
    90
    Neuroscience Lab canlab fmri toolbox
    A Timeline of events. In each session, participants were given an oral dose of methylphenidate (MP) or placebo at time 0; the [ 11 C] Raclopride bolus injection and simultaneous <t>PET-fMRI</t> scanning started at 30 min; an IV dose of MP or placebo was given at 60 min; and throughout the duration of the session participants used a button box in the scanner to self-report their experience of ‘high’ to the drug. B An example subject’s session structure. Participants three separate imaging sessions on different days. Sessions were identical except for drug condition: (Session 1) oral PLA and IV PLA; (Session 2) oral MP (60 mg) and IV PLA (3 cc saline); (Session 3) oral PLA and IV MP (0.25 mg/kg in 3 cc sterile water). The session order was counterbalanced across participants. C Analysis schema. With PET data, minute-to-minute changes in dopamine receptor binding were used to estimate the rate of dopamine increases in response to MP (decreases in D2 receptor binding following MP are a proxy for dopamine increases). With fMRI data, we calculated minute-to-minute changes in global brain connectivity across the scan session. We then performed multiple regression to identify global brain connectivity patterns that were temporally associated with slow and fast dopamine increases. Finally, we parcellated these maps to show how dopamine rate-associated patterns of global brain connectivity were distributed across large-scale brain functional networks.
    Canlab Fmri Toolbox, supplied by Neuroscience Lab, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/canlab+fmri+toolbox/canlab+fmri+toolbox/pmc11039764-127-44-38
    Average 90 stars, based on 1 article reviews
    canlab fmri toolbox - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    A Timeline of events. In each session, participants were given an oral dose of methylphenidate (MP) or placebo at time 0; the [ 11 C] Raclopride bolus injection and simultaneous PET-fMRI scanning started at 30 min; an IV dose of MP or placebo was given at 60 min; and throughout the duration of the session participants used a button box in the scanner to self-report their experience of ‘high’ to the drug. B An example subject’s session structure. Participants three separate imaging sessions on different days. Sessions were identical except for drug condition: (Session 1) oral PLA and IV PLA; (Session 2) oral MP (60 mg) and IV PLA (3 cc saline); (Session 3) oral PLA and IV MP (0.25 mg/kg in 3 cc sterile water). The session order was counterbalanced across participants. C Analysis schema. With PET data, minute-to-minute changes in dopamine receptor binding were used to estimate the rate of dopamine increases in response to MP (decreases in D2 receptor binding following MP are a proxy for dopamine increases). With fMRI data, we calculated minute-to-minute changes in global brain connectivity across the scan session. We then performed multiple regression to identify global brain connectivity patterns that were temporally associated with slow and fast dopamine increases. Finally, we parcellated these maps to show how dopamine rate-associated patterns of global brain connectivity were distributed across large-scale brain functional networks.

    Journal: Neuropsychopharmacology

    Article Title: Brain connectivity changes to fast versus slow dopamine increases

    doi: 10.1038/s41386-024-01803-8

    Figure Lengend Snippet: A Timeline of events. In each session, participants were given an oral dose of methylphenidate (MP) or placebo at time 0; the [ 11 C] Raclopride bolus injection and simultaneous PET-fMRI scanning started at 30 min; an IV dose of MP or placebo was given at 60 min; and throughout the duration of the session participants used a button box in the scanner to self-report their experience of ‘high’ to the drug. B An example subject’s session structure. Participants three separate imaging sessions on different days. Sessions were identical except for drug condition: (Session 1) oral PLA and IV PLA; (Session 2) oral MP (60 mg) and IV PLA (3 cc saline); (Session 3) oral PLA and IV MP (0.25 mg/kg in 3 cc sterile water). The session order was counterbalanced across participants. C Analysis schema. With PET data, minute-to-minute changes in dopamine receptor binding were used to estimate the rate of dopamine increases in response to MP (decreases in D2 receptor binding following MP are a proxy for dopamine increases). With fMRI data, we calculated minute-to-minute changes in global brain connectivity across the scan session. We then performed multiple regression to identify global brain connectivity patterns that were temporally associated with slow and fast dopamine increases. Finally, we parcellated these maps to show how dopamine rate-associated patterns of global brain connectivity were distributed across large-scale brain functional networks.

    Article Snippet: We did not a priori hypothesize a single specific region whose dopamine rate-associated connectivity would be associated with ‘high’, so for exploratory testing we parcellated the GBC maps into large-scale functional networks based on the Cognitive and Affective Neuroscience Lab combined atlas in the canlab fMRI toolbox (canlab.github.io).

    Techniques: Injection, Imaging, Saline, Sterility, Binding Assay, Functional Assay