Principles of fMRI
Principles of fMRI
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Martin and Tor 1st Course Intro
Martin and Tor 1st Course Intro
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Video

Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 110:36Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 1
Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 1
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Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 1
Principles of fMRI Part 2, Module 28 MVPA procedures9:52Principles of fMRI Part 2, Module 28 MVPA procedures
Principles of fMRI Part 2, Module 28 MVPA procedures
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Principles of fMRI Part 2, Module 28 MVPA procedures
Principles of fMRI Part 2, Module 24 Granger Causality9:37Principles of fMRI Part 2, Module 24 Granger Causality
Principles of fMRI Part 2, Module 24 Granger Causality
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Principles of fMRI Part 2, Module 24 Granger Causality
Principles of fMRI Part 2, Module 29 MVPA procedures part 25:11Principles of fMRI Part 2, Module 29 MVPA procedures part 2
Principles of fMRI Part 2, Module 29 MVPA procedures part 2
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Principles of fMRI Part 2, Module 29 MVPA procedures part 2
Principles of fMRI Part 2, Module 21 Effective Connectivity9:42Principles of fMRI Part 2, Module 21 Effective Connectivity
Principles of fMRI Part 2, Module 21 Effective Connectivity
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Principles of fMRI Part 2, Module 21 Effective Connectivity
Principles of fMRI Part 2, Module 25 Causal Inference12:01Principles of fMRI Part 2, Module 25 Causal Inference
Principles of fMRI Part 2, Module 25 Causal Inference
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Principles of fMRI Part 2, Module 25 Causal Inference
Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 112:28Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 1
Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 1
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Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 1
Principles of fMRI Part 2, Module 27 MVPA intro10:18Principles of fMRI Part 2, Module 27 MVPA intro
Principles of fMRI Part 2, Module 27 MVPA intro
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Principles of fMRI Part 2, Module 27 MVPA intro
Principles of fMRI Part 2, Module 23 Dynamic Causal Models7:22Principles of fMRI Part 2, Module 23 Dynamic Causal Models
Principles of fMRI Part 2, Module 23 Dynamic Causal Models
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Principles of fMRI Part 2, Module 23 Dynamic Causal Models
Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 27:07Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 2
Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 2
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Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 2
Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 110:43Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 1
Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 1
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Principles of fMRI Part 2, Module 26 MVPA neuroscience Part 1
Martin and Tor 2nd Course Intro1:45Martin and Tor 2nd Course Intro
Martin and Tor 2nd Course Intro
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Martin and Tor 2nd Course Intro
Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 27:18Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 2
Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 2
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Principles of fMRI Part 2, Module 30 MVPA biomarker example Part 2
Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 211:37Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 2
Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 2
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Principles of fMRI Part 2, Module 22 Mediation and Moderation Part 2
Principles of fMRI, Part 2, Module 13 - Multicolinearity and diagnostics, Part 110:36Principles of fMRI, Part 2, Module 13 - Multicolinearity and diagnostics, Part 1
Principles of fMRI, Part 2, Module 13 - Multicolinearity and diagnostics, Part 1
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Principles of fMRI, Part 2, Module 13 - Multicolinearity and diagnostics, Part 1
Principles of fMRI, Part 2, Module 20 - Graph Theory10:22Principles of fMRI, Part 2, Module 20 - Graph Theory
Principles of fMRI, Part 2, Module 20 - Graph Theory
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Principles of fMRI, Part 2, Module 20 - Graph Theory
Principles of fMRI, Part 2, Module 14 - Robust regression14:58Principles of fMRI, Part 2, Module 14 - Robust regression
Principles of fMRI, Part 2, Module 14 - Robust regression
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Principles of fMRI, Part 2, Module 14 - Robust regression
Principles of fMRI, Part 2, Module 11 - Parametric Modulators8:42Principles of fMRI, Part 2, Module 11 - Parametric Modulators
Principles of fMRI, Part 2, Module 11 - Parametric Modulators
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Principles of fMRI, Part 2, Module 11 - Parametric Modulators
Principles of fMRI, Part 2, Module 13 - Multicollinearity and Diagnostics, Part 28:44Principles of fMRI, Part 2, Module 13 - Multicollinearity and Diagnostics, Part 2
Principles of fMRI, Part 2, Module 13 - Multicollinearity and Diagnostics, Part 2
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Principles of fMRI, Part 2, Module 13 - Multicollinearity and Diagnostics, Part 2
Principles of fMRI, Part 2, Module 18 - Multivariate Decomposition Methods9:08Principles of fMRI, Part 2, Module 18 - Multivariate Decomposition Methods
Principles of fMRI, Part 2, Module 18 - Multivariate Decomposition Methods
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Principles of fMRI, Part 2, Module 18 - Multivariate Decomposition Methods
Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 210:26Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 2
Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 2
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Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 2
Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 19:17Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 1
Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 1
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Principles of fMRI, Part 2, Module 15 - Practical group analysis, Part 1
Martin and Tor 2 Module 8 Part 2 Corrected 112:39Martin and Tor 2 Module 8 Part 2 Corrected 1
Martin and Tor 2 Module 8 Part 2 Corrected 1
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Martin and Tor 2 Module 8 Part 2 Corrected 1
Principles of fMRI Part 2, Module 9 - Experimental design efficiency III12:47Principles of fMRI Part 2, Module 9 - Experimental design efficiency III
Principles of fMRI Part 2, Module 9 - Experimental design efficiency III
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Principles of fMRI Part 2, Module 9 - Experimental design efficiency III
Principles of fMRI Part 2, Module 17 - Functional connectivity9:01Principles of fMRI Part 2, Module 17 - Functional connectivity
Principles of fMRI Part 2, Module 17 - Functional connectivity
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Principles of fMRI Part 2, Module 17 - Functional connectivity
Principles of fMRI Part 2, Module 6 - Optimizing acquisition18:28Principles of fMRI Part 2, Module 6 - Optimizing acquisition
Principles of fMRI Part 2, Module 6 - Optimizing acquisition
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Principles of fMRI Part 2, Module 6 - Optimizing acquisition
Principles of fMRI Part 2, Module 1 - Crises in Neuroscience14:01Principles of fMRI Part 2, Module 1 - Crises in Neuroscience
Principles of fMRI Part 2, Module 1 - Crises in Neuroscience
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Principles of fMRI Part 2, Module 1 - Crises in Neuroscience
Principles of fMRI Part 2, Module 3 - Pitfalls and Biases213:26Principles of fMRI Part 2, Module 3 - Pitfalls and Biases2
Principles of fMRI Part 2, Module 3 - Pitfalls and Biases2
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Principles of fMRI Part 2, Module 3 - Pitfalls and Biases2
Principles of fMRI Part 2, Module 16 - Brain connectivity6:07Principles of fMRI Part 2, Module 16 - Brain connectivity
Principles of fMRI Part 2, Module 16 - Brain connectivity
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Principles of fMRI Part 2, Module 16 - Brain connectivity

Komentáře

  • @martins8473
    @martins8473 Před 3 měsíci

    An amazing video, really insightful.

  • @ramtinesmaeeli-pe1lw
    @ramtinesmaeeli-pe1lw Před 4 měsíci

    what a great scientific explanation. bravo hats-off

  • @dr.albertmir
    @dr.albertmir Před 7 měsíci

    you're incredible

  • @andruhew
    @andruhew Před 10 měsíci

    love the sound of the squishing brain! Makes me feel like I'm mushing one right between my toes!

  • @valentinavadori5906
    @valentinavadori5906 Před rokem

    Thank you

  • @valentinavadori5906
    @valentinavadori5906 Před rokem

    Amazing intro. thanks you!

  • @domusic8587
    @domusic8587 Před rokem

    Really interesting that MVPA showed a different activation between positive and negative events in the amygdala! Thanks for your video and the understandable depiction of the topic, it hopefully helpes with my upcoming exam :)

  • @Chambrez-wd3sz
    @Chambrez-wd3sz Před rokem

    thank you so much for these videos!

  • @tannazsaadat6794
    @tannazsaadat6794 Před rokem

    Great video. Thank you.

  • @swiftywifty
    @swiftywifty Před rokem

    Thank you, perfect explaination

  • @hamidmuhammad1370
    @hamidmuhammad1370 Před rokem

    Excellent

  • @tristansmom1035
    @tristansmom1035 Před rokem

    You’re attractive

  • @hamidmuhammad1370
    @hamidmuhammad1370 Před rokem

    Thanks

  • @moslemasgarihassanluie
    @moslemasgarihassanluie Před rokem

    Useless 👎🏻 I saw this course on coursera. They just talk and talk !!! without practical analysis on real fmri data.

  • @masegoprecioussetlhodi1602
    @masegoprecioussetlhodi1602 Před rokem

    The best explanation

  • @camojunkey
    @camojunkey Před rokem

    thank you so much. I real had trouble understanding this concept prior to your video

  • @georgen9755
    @georgen9755 Před rokem

    non famous face .....typically worrying ......

  • @kx5390
    @kx5390 Před rokem

    Don't be nervous. You are cool.

  • @soroushbagheri1831
    @soroushbagheri1831 Před 2 lety

    Very helpful thank you very much

  • @yoonjj2214
    @yoonjj2214 Před 2 lety

    super helpful, thank you!

  • @macijacobson9082
    @macijacobson9082 Před 2 lety

    Thank you -- very helpful!

  • @D11C11L
    @D11C11L Před 2 lety

    Thank you so much!

  • @bigfatjuice
    @bigfatjuice Před 2 lety

    what about temporal filtering? you didnt come back to that

  • @enweizhao8001
    @enweizhao8001 Před 2 lety

    thank you so much!

  • @xinhuang5759
    @xinhuang5759 Před 2 lety

    thank you so much, it is very helpful!

  • @cynthiaflorencio3498
    @cynthiaflorencio3498 Před 2 lety

    What is "noise"?? Sorry for the dumb question, i'm a first year med student

  • @kx5390
    @kx5390 Před 2 lety

    This series is really concise and insightful. No idea why no comments.

  • @fairtradegothic7781
    @fairtradegothic7781 Před 3 lety

    Thank you!! Very helpful

  • @DjenceGuitarLessons
    @DjenceGuitarLessons Před 3 lety

    Thank you

  • @boaz08995
    @boaz08995 Před 3 lety

    did anybody get why when using short or long TR and TE we get different dependencies?

  • @muhammadabdullahbangash5196
    @muhammadabdullahbangash5196 Před 3 lety

    Each aspect is very well defined. Thank you

  • @ariansergi7929
    @ariansergi7929 Před 3 lety

    Well explained! Thanks!

  • @liabevilaqua3508
    @liabevilaqua3508 Před 3 lety

    Hi.. your videos are the best. Your explanations are very comprehensible. Congrats. I would like to ask you for some new video (s) explaining more about the RF pulses and the magnetic gradient during the RNM exam. Thanks a lot. Cheers.

  • @annam2483
    @annam2483 Před 3 lety

    I am so grateful for you offering this awesome material about fMRI. !! :)

  • @andreageorgiadou986
    @andreageorgiadou986 Před 3 lety

    Very informative!! I finally understand fMRI acquisition! keep it up :)

  • @daphnebernues2624
    @daphnebernues2624 Před 3 lety

    Thank you for your enourmous work in putting these lectures together. They are very very helpful!

  • @downydude9336
    @downydude9336 Před 3 lety

    Thanks very much, really good summary of what im trying to learn atm.

  • @thisisamirv
    @thisisamirv Před 3 lety

    thanks a lot

  • @whaleshark8700
    @whaleshark8700 Před 3 lety

    so cross validation is the solution?

  • @raphaels2103
    @raphaels2103 Před 3 lety

    Thank you so much !

  • @f.m.a7184
    @f.m.a7184 Před 3 lety

    it’s very helpful , Thank you 🙏🏻

  • @stanislavjiricek978
    @stanislavjiricek978 Před 3 lety

    Hi, I would like to ask about a slide Yule-Walker Estimates. Why we cannot fit the simple linear regression line to the data but the Yule-Walker estimate is used instead?

  • @bhupendrakumar6016
    @bhupendrakumar6016 Před 3 lety

    Hii

  • @kemchobhenchod
    @kemchobhenchod Před 3 lety

    This wasn't just about neuroscience this is about how to think clearly.

  • @kemchobhenchod
    @kemchobhenchod Před 3 lety

    Suggestion: use actual examples (clinical or otherwise) as much as possible. Otherwise it tends to become alphabet soup. PCA: Orthonormality ICA: Spatial independence for vectors that are linearly mixed but spatially fixed.

  • @kemchobhenchod
    @kemchobhenchod Před 3 lety

    That intro sounds like macaroni and cheese, or sex

    • @lambda5949
      @lambda5949 Před 7 měsíci

      what toys u got going in the bedroom my man wtf

  • @dvdplayer128
    @dvdplayer128 Před 4 lety

    Very nice explanation. I wonder what are the predictors (X) in resting-state fMRI, when there is no task / stimulus / behaviour?

    • @dvdplayer128
      @dvdplayer128 Před 3 lety

      The answer is explained by Andrew Jahn. In RS-fMRI, the error variable is the signal czcams.com/video/QdPhkP9D2-A/video.html

  • @orinnoori5020
    @orinnoori5020 Před 4 lety

    Great videos, thanks!

  • @dvdplayer128
    @dvdplayer128 Před 4 lety

    Really love you guys haha, great video

  • @carlospegueros7124
    @carlospegueros7124 Před 4 lety

    at 2:30 you said "Purple Brain"... hehe...