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The physiology of the BOLD signal

The physiology of the BOLD signal. Klaas Enno Stephan Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London.

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The physiology of the BOLD signal

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  1. The physiology of the BOLD signal Klaas Enno Stephan Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London With many thanks for slides & images to: Meike Grol Tobias Sommer Ralf Deichmann Methods & models for fMRI data analysis in neuroeconomicsNovember 2010

  2. Ultrashort introduction to MRI physics • Step 1: Place an object/subject in a big magnet • Step 2: Apply radio waves • Step 3: Measure emitted radio waves

  3. Step 1: Place subject in a big magnet Spin = rotation of a proton around some axis Movement of a positive charge → magnetic moment When you put any material in an MRI scanner, the protons align with the direction of the magnetic field. Images: www.fmri4newbies.com

  4. Image: Ralf Deichmann

  5. T1 T2 Step 2: Apply radio waves When you apply radio waves (RF pulse) at the appropriate frequency (Larmor frequency), you can change the orientation of the spins as the protons absorb energy. After you turn off the RF pulse, as the protons return to their original orientations, they emit energy in the form of radio waves. Images: Ralf Deichmann

  6. T2 = time constant of how quickly the protons emit energy when recovering to equilibrium T1 = time constant of how quickly the protons realign with the magnetic field fat has low signal  dark fat has high signal  bright CSF has high signal  bright CSF has low signal  dark T1-WEIGHTED ANATOMICAL IMAGE T2-WEIGHTED ANATOMICAL IMAGE Step 3: Measure emitted radio waves Images: fmri4newbies.com

  7. T2* weighted images • Two factors contribute to the decay of transverse magnetization:1) molecular interactions → dephasing of spins2) local inhomogeneities of the magnetic field • The combined time constant is called T2*. • fMRI uses acquisition techniques (e.g. EPI) that are sensitive to changes in T2*. • The general principle of MRI: • excite spins in static field by RF pulses & detect the emitted RF • use an acquisition technique that is sensitive to local differences in T1, T2 or T2* • construct a spatial image

  8. Functional MRI (fMRI) • Uses echo planar imaging (EPI) for fast acquisition of T2*-weighted images. • Spatial resolution: • 1.5-3 mm (standard 3 T scanner) • < 200 μm (high-field systems) • Sampling speed: • 1 slice: 50-100 ms • Problems: • distortion and signal dropouts in certain regions • sensitive to head motion of subjects during scanning • Requires spatial pre-processing and statistical analysis. EPI (T2*) dropout T1 But what is it that makes T2* weighted images “functional”?

  9. The BOLD contrast BOLD (Blood Oxygenation Level Dependent) contrast = measures inhomogeneities in the magnetic field due to changes in the level of O2 in the blood Oxygenated hemoglobine: Diamagnetic (non-magnetic)  No signal loss… B0 Deoxygenated hemoglobine: Paramagnetic (magnetic)  signal loss ! Images: Huettel, Song & McCarthy 2004, Functional Magnetic Resonance Imaging

  10. The BOLD contrast deoxy-Hb/oxy-Hb  rCBF  ? ? neurovascularcoupling neuronal metabolism  synaptic activity  D’Esposito et al. 2003 Due to an over-compensatory increase of rCBF, increased neural activity decreases the relative amount of deoxy-Hb  higher T2* signal intensity

  11. The BOLD contrast REST • neural activity   blood flow   oxyhemoglobin   T2*  MR signal ACTIVITY Source: Jorge Jovicich, fMRIB Brief Introduction to fMRI

  12. Peak Brief Stimulus Undershoot Initial Undershoot The temporal properties of the BOLD signal • sometimes shows initial undershoot • peaks after 4-6 secs • back to baseline after approx. 30 secs • can vary between regions and subjects

  13. u stimulus functions neural state equation t hemodynamic state equations Balloon model BOLD signal change equation BOLD signal is a nonlinear function of rCBF Stephan et al. 2007, NeuroImage

  14. Three important questions • Is the BOLD signal more strongly related to neuronal action potentials or to local field potentials (LFP)? • Does the BOLD signal reflect energy demands or synaptic activity? • What does a negative BOLD signal mean?

  15. Neurophysiological basis of the BOLD signal: soma or synapse?

  16. BOLD & action potentials Red curve: “average firing rate in monkey V1, as a function of contrast, estimated from a large database of microelectrode recordings (333 neurons).” Heeger et al. 2000, Nat. Neurosci. Rees et al. 2000, Nat. Neurosci. In early experiments comparing human BOLD signals and monkey electrophysiological data, BOLD signals were found to be correlated with action potentials.

  17. Action potentials vs. postsynaptic activity • Local Field Potentials (LFP) • reflect summation of post-synaptic potentials • Multi-Unit Activity (MUA) • reflects action potentials/spiking • Logothetis et al. (2001) • combined BOLD fMRI and electrophysiological recordings • found thatBOLD activity is more closely related to LFPs than MUA Logothetis et al., 2001, Nature

  18. BOLD & LFPs blue: LFP red: BOLD grey: predicted BOLD Logothetis & Wandell 2004, Ann. Rev. Physiol.

  19. Dissociation between action potentials and rCBF • GABAA antagonist picrotoxine increased spiking activity without increase in rCBF... • ... and without disturbing neurovascular coupling per se  rCBF-increase can be independent from spiking activity, but seems to be always correlated to LFPs Thomsen et al. 2004, J. Physiol. Lauritzen et al. 2003

  20. Current conclusion: BOLD signal more strongly correlated to postsynaptic activity • BOLD can be correlated both to presynaptic actitivity (action potentials) and to postsynaptic actitivity (as indexed by LFPs) • Indeed, in many cases action potentials and LFPs are themselves highly correlated. • rCBF-increase can be independent from spiking activity, but so far no case has been found where it was independent of LFPs. • This justifies the (present) conclusion that BOLD more strongly reflects the input to a neuronal population as well as its intrinsic processing, rather than its spiking output. Lauritzen 2005, Nat. Neurosci. Rev.

  21. Three important questions • Is the BOLD signal more strongly related to neuronal action potentials or to local field potentials (LFP)? • Does the BOLD signal reflect energy demands or synaptic activity? • What does a negative BOLD signal mean?

  22. Is the BOLD signal driven by energy demands or synaptic processes? deoxy-Hb/oxy-Hb  rCBF  ? ? neurovascularcoupling neuronal metabolism  synaptic activity  D’Esposito et al. 2003

  23. Localisation of neuronal energy consumption Salt loading in rats and 2-deoxyglucose mapping → glucose utilization in the posterior pituitary but not in paraventricular and supraoptic nuclei (which release ADH & oxytocin at their axonal endings in the post. pituitary) → neuronal energy consumption takes place at the synapses, not at the cell body Compatible with findings on BOLD relation to LFPs! But does not tell us whether BOLD induction is due to energy demands (feedback) or synaptic processes (feedforward)... Schwartz et al. 1979, Science

  24. Energetic consequences of synaptic activity Also, ATP needed for restoring ionic gradients, transmitter reuptake etc. Glutamate reuptake and recycling by astrocytes requires glucose metabolism Attwell & Iadecola 2002, TINS. Courtesy: Tobias Sommer

  25. Increased rCBF due to lack of energy? • Initial dip: possible to get more O2 from the blood without increasing rCBF (which happens later in time). • Controversial reports on whether or not there is compensatory increase in blood flow during hypoxia (Mintun et al. 2001; Gjedde 2002). Friston et al. 2000, NeuroImage rCBF map during visual stimulation under normal conditions rCBF map during visual stimulation under hypoxia Mintun et al. 2001, PNAS

  26. Blood flow might be directly driven by excitatory postsynaptic processes

  27. Glutamatergic synapses: A feedforward system for eliciting the BOLD signal? Lauritzen 2005, Nat. Neurosci. Rev.

  28. Forward control of blood flow Courtesy: Marieke Scholvinck

  29. O2 levels determine whether synaptic activity leads to arteriolar vasodilation or vasoconstriction (via prostaglandines) Gordon et al. 2008, Nature

  30. Three important questions • Is the BOLD signal more strongly related to neuronal action potentials or to local field potentials (LFP)? • Does the BOLD signal reflect energy demands or synaptic activity? • What does a negative BOLD signal mean?

  31. Negative BOLD is correlated with decreases in LFPs positive BOLD positive BOLD Shmuel et al. 2006, Nat. Neurosci.

  32. Impact of inhibitory postsynaptic potentials (IPSPs) on blood flow Lauritzen 2005, Nat. Neurosci. Rev.

  33. Negative BOLD signals due to IPSPs? Lauritzen 2005, Nat. Neurosci. Rev.

  34. Potential physiological influences on BOLD cerebrovascular disease structural lesions (compression) blood flow medications autoregulation (vasodilation) blood volume hypoxia volume status BOLD contrast hypercapnia biophysical effects anesthesia/sleep anemia smoking oxygen utilization degenerative disease

  35. Nitrates (against coronary heart disease) Drug effects Analgetics (NSAIDs)

  36. Summary • The BOLD signal seems to be more strongly related to LFPs than to spiking activity. • The BOLD signal seems to reflect the input to a neuronal population as well as its intrinsic processing, not the outputs from that population. • Blood flow seems to be controlled in a forward fashion by postsynaptic processes leading to the release of vasodilators. • Negative BOLD signals may result from IPSPs. • Various drugs can interfere with the BOLD response.

  37. Thank you

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