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(NAS Colloquium) Neuroimaging of Human Brain Function (1998) / Chapter Skim
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Imaging neuroscience: Principles or maps?
Pages 34-40

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 34...
... Ani~ag~in~ ne~rosciol~tist Boo ~~t~ntsto understand some of the organizational principles 1ba1 underlie brain Unction is Aced fib ~ ~re~tchsHenye:lmaginetbat Retook you lo a :~Fest~lDd told y<>u,'lell us how tilts ~~res1-works. By scie~1islsa~inlerestedin~bis ~ ~st~ndslubvitusin<~vsrictY of techniques.
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From page 35...
... model selection and <~) inferences about multiple enacts using statistical parametric maps of the F statistic [SPIFFS]
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From page 36...
... . , F>> ~ Tag ~ ~~ based on ~ pea 1nxidc Judy of evoked responses to Fords presented at varying frequencies and is Idly typical off ~ nonlinear bemod~n~ic response ~llc1~ion.
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From page 37...
... ~le~is~lEl~d:~menta~lpr<>bl~ wit~h~line~r m<~de~ls.Tlley assume tab the multiple inputs ~ a ~~ion ~r~llne~} separable and do notinter~ct.Tbisprecludesd~mic or acdvi1Y-deperd~nlconDec~onsthat are Spoused in onc sensorimo10r or co~ni1Rc context and notln another. The resolution of this problem Resin adopting nonlinear models 1b~tincludetc~msthal modelthoinicracdons~mon~input~ Theseintera~i~ns can b~conshu~d Scone ora~dependen1 modul~bon ofth~influ~ncc1h~ oncrogion~xers over I
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From page 38...
... hF) Rl~e~techniquescurren11y~rebein~devel~pedlhat agog tbe evoked responsesto angle ~6mulior as 10 be ..
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From page 39...
... ~ plowed Oclori~1 designs: Herein 1be inler~clion among tbc ~ctorsus~d bssboen sslnt~rcs~n~.itno1 morcso.1b~nlbe e~tclsofth~ ~ct~rsthemselves.T7termsoffulurotrends.1t mightbe an~c~tedthal ~ Jodald~ fins ~~lb~come mars impor1~nt.Totbe~1antthalbrai~rospons~s~reaL~ays more context ens then many eJ>clstbat h~herlo hang been ~s~ribedio ~mplc~c1iv,1ionsbycognibv~orsensoryproc~sses mayin ~ctr~fl~ctintcr~cdons between 1beso processes and theconlexlin ~hichtbey~creelic~ed.Considerlhe Allowing ~xampl~.Im~rcllce between the stimuli and labs region as a \~o~d-~rm grew' Nowovcr,lhis retinal specific enact could be an interaction be implicit phonological retrieve and the visual processing otletter strings.
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From page 40...
... an. sponges by i~Ecit pbonological retrieve an the absence of p~bonolo~ic~tl retrieval, tare ably be go d~i~e:rellces ills tile response of this area to words or no~ord letter strings.
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Key Terms

  • letter strings
  • evoked responses
  • parameter estimates
  • temporal basis
  • linear model

  • brain responses
  • implicit phonological
  • model selection
  • neural models
  • visual motion

  • nonlinear models
  • statistical parametric
  • using statistical
  • linear models
  • design matrix

  • visual processing
  • word rate
  • specific interactions
  • resonance imaging
  • superior temporal

  • visual analysis
  • viewed words
  • modeling evoked
  • underlie brain
  • responses deviated

  • exposure durations
  • observed response
  • experimental design
  • specific dynamics
  • order kernel


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