Mapping functionally related regions of brain with functional connectivity MR imaging

BACKGROUND AND PURPOSE: In subjects who are performing no prescribed cognitive task, functional connectivity mapped with MR imaging (fcMRI) shows regions with synchronous fluctuations of cerebral blood flow. When specific tasks are performed, functional MR imaging (fMRI) can map locations in which regional cerebral blood flow increases synchronously with the performance of the task. We tested the hypothesis that fcMRI maps, based on the synchrony of low-frequency blood flow fluctuations, identify brain regions that show activation on fMRI maps of sensorimotor, visual, language, and auditory tasks. METHODS: In four volunteers, task-activation fMRI and functional connectivity (resting-state) fcMRI data were acquired. A small region of interest (in an area that showed maximal task activation) was chosen, and the correlation coefficient of the corresponding resting-state signal with the signal of all other voxels in the resting data set was calculated. The correlation coefficient was decomposed into frequency components and its distribution determined for each fcMRI map. The fcMRI maps were compared with the fMRI maps. RESULTS: For each task, fcMRI maps based on one to four seed voxel(s) produced clusters of voxels in regions of eloquent cortex. For each fMRI map a closely corresponding fcMRI map was obtained. The frequencies that predominated in the cross-correlation coefficients for the functionally related regions were below 0.1 Hz. CONCLUSION: Functionally related brain regions can be identified by means of their synchronous slow fluctuations in signal intensity. Such blood flow synchrony can be detected in sensorimotor areas, expressive and receptive language regions, and the visual cortex by fcMRI. Regions identified by the slow synchronous fluctuations are similar to those activated by motor, language, or visual tasks.     

Anesthetic effects on regional CBF,BOLD, and the coupling between task‐induced changes in CBF and BOLD: An fMRI study in normal human subjects

Functional MR imaging was performed in sixteen healthy human subjects measuring both regional cerebral blood flow (CBF) and blood oxygen level dependent (BOLD) signal when visual and auditory stimuli were presented to subjects in the presence or absence of anesthesia. During anesthesia, 0.25 mean alveolar concentration (MAC) sevoflurane was administrated. We found that low‐dose sevoflurane decreased the task‐induced changes in both BOLD and CBF. Within the visual and auditory regions of interest inspected, both baseline CBF and the task‐induced changes in CBF decreased significantly during anesthesia. Low‐dose sevoflurane significantly altered the task‐induced CBF‐BOLD coupling; for a unit change of CBF, a larger change in BOLD was observed in the anesthesia condition than in the anesthesia‐free condition. Low‐dose sevoflurane was also found to have significant impact on the spatial nonuniformity of the task‐induced coupling. The alteration of task‐induced CBF‐BOLD coupling by low‐dose sevoflurane introduces ambiguity to the direct interpretation of functional MRI (fMRI) data based on only one of the indirect measures—CBF or BOLD. Our observations also indicate that the manipulation of the brain with an anesthetic agent complicates the model‐based quantitative interpretation of fMRI data, in which the relative task‐induced changes in oxidative metabolism are calculated by means of a calibrated model given the relative changes in the indirect vascular measures, usually CBF and BOLD. Magn Reson Med 60:987–996, 2008. © 2008 Wiley‐Liss, Inc.     

Physiological origin of low‐frequency drift in blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI)

We investigated the biophysical mechanism of low‐frequency drift in blood‐oxygen‐level‐dependent (BOLD) functional magnetic resonance imaging (fMRI) (0.00–0.01 Hz), by exploring its spatial distribution, dependence on imaging parameters, and relationship with task‐induced brain activation. Cardiac and respiratory signals were concurrently recorded during MRI scanning and subsequently removed from MRI data. It was found that the spatial distribution of low‐frequency drifts in human brain followed a tissue‐specific pattern, with greater drift magnitude in the gray matter than in white matter. In gray matter, the dependence of drift magnitudes on TE was similar to that of task‐induced BOLD signal changes, i.e., the absolute drift magnitude reached the maximum when TE approached T whereas relative drift magnitude increased linearly with TE. By systematically varying the flip angle, it was found that drift magnitudes possessed a positive dependence on image intensity. In phantom experiments, the observed drift was not only much smaller than that of human brain, but also showed different dependence on TE and flip angle. In fMRI studies with visual stimulation, a strong positive correlation between drift effects at baseline and task‐induced BOLD signal changes was observed both across subjects and across activated pixels within individual participants. We further demonstrated that intrinsic, physiological drift effects are a major component of the spontaneous fluctuations of BOLD fMRI signal within the frequency range of 0.0–0.1 Hz. Our study supports brain physiology, as opposed to scanner instabilities or cardiac/respiratory pulsations, as the main source of low‐frequency drifts in BOLD fMRI. Magn Reson Med 61, 2009. © 2009 Wiley‐Liss, Inc.     

Middle cerebral artery blood velocity during running

Running induces characteristic fluctuations in blood pressure (BP) of unknown consequence for organ blood flow. We hypothesized that running‐induced BP oscillations are transferred to the cerebral vasculature. In 15 healthy volunteers, transcranial Doppler‐determined middle cerebral artery (MCA) blood flow velocity, photoplethysmographic finger BP, and step frequency were measured continuously during three consecutive 5‐min intervals of treadmill running at increasing running intensities. Data were analysed in the time and frequency domains. BP data for seven subjects and MCA velocity data for eight subjects, respectively, were excluded from analysis because of insufficient signal quality. Running increased mean arterial pressure and mean MCA velocity and induced rhythmic oscillations in BP and in MCA velocity corresponding to the difference between step rate and heart rate (HR) frequencies. During running, rhythmic oscillations in arterial BP induced by interference between HR and step frequency impact on cerebral blood velocity. For the exercise as a whole, average MCA velocity becomes elevated. These results suggest that running not only induces an increase in regional cerebral blood flow but also challenges cerebral autoregulation.     

Source of low-frequency fluctuations in functional MRI signal

PURPOSE: To investigate the source of native low-frequency fluctuations (LFF) in functional MRI (fMRI) signal. MATERIALS AND METHODS: Phase analysis was performed on tissue-segmented fMRI data acquired at systematically varying sampling rates. RESULTS: LFF in fMRI signal were both native and aliased in origin. Scanner instability did not contribute to native or aliased LFF. Aliased LFF arose from cardiorespiratory processes and head motion. Native LFF did not arise from cardiorespiratory processes, but did so, at least in part, from head motion. Motion correction reduced native LFF, but did not eliminate them. The residual native LFF in motion-corrected fMRI data showed a systematic phase difference among different tissue structures. The native LFF in fMRI signals of cerebral blood vessels and CSF were synchronous, and preceded those of gray and white matter, indicating that the vascular fluctuations lead the metabolic fluctuations. CONCLUSION: The primary physiologic source of native LFF in fMRI signal is vasomotion.     

Perfusion-based fMRI: insights from animal models

Modern functional neuroimaging techniques, including functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and optical imaging of intrinsic signals (OIS), rely on a tight coupling between neural activity and cerebral blood flow (CBF) to visualize brain activity using CBF as a surrogate marker. Because CBF is a uniquely defined physiological parameter, fMRI techniques based on CBF contrast have the advantage of being specific to tissue signal change, and the potential to provide more direct and quantitative measures of brain activation than blood oxygenation level-dependent (BOLD)- or cerebral blood volume (CBV)-based techniques. The changes in CBF elicited by increased neural activity are an excellent index of the magnitude of electrical activity. Increases in CBF are more closely localized to the foci of increased electrical activity, and occur more promptly to the stimulus than BOLD- or CBV-based contrast. In addition, CBF-based fMRI is less affected by confounds from venous drainage common to BOLD. Animal studies of brain activation have yielded considerable insights into the advantages of CBF-based fMRI. Based on results provided by animal studies, CBF fMRI may offer a means of better assessing the magnitude, spatial extent, and temporal response of neural activity, and may be more specific to tissue state. These properties are expected to be particularly useful for longitudinal and quantitative fMRI studies.     

Baseline blood oxygenation modulates response amplitude: Physiologic basis for intersubject variations in functional MRI signals

Although BOLD functional MRI (fMRI) provides a useful tool for probing neuronal activities, large intersubject variations in signal amplitude are commonly observed. Understanding the physiologic basis for these variations will have a significant impact on many fMRI studies. First, the physiologic modulator can be used as a regressor to reduce variations across subjects, thereby improving statistical power for detecting group differences. Second, if a pathologic condition or a drug treatment is shown to change fMRI responses, monitoring this modulatory parameter is useful in correctly interpreting the fMRI changes to neuronal deficits/recruitments. Here we present evidence that the task‐evoked fMRI signals are modulated by baseline blood oxygenation. To measure global blood oxygenation, we used a recently developed technique, T₂ relaxation under spin‐tagging (TRUST) MRI, which yielded baseline oxygenation of 63.7% ± 7.2% in the sagittal sinus with an estimation error of 1.3%. It was found that individuals with higher baseline oxygenation tend to have a smaller fMRI signal, and vice versa. For every 10% difference in baseline oxygenation across subjects, BOLD and cerebral blood flow (CBF) signals differ by –0.4% and –30.0%, respectively, when using visual stimulation. TRUST MRI is a useful measurement for fMRI studies to control for the modulatory effects of baseline oxygenation that are unique to each subject. Magn Reson Med 60:364–372, 2008. © 2008 Wiley‐Liss, Inc.     

Comparison of diffusion-weighted high-resolution CBF and spin-echo BOLD fMRI at 9.4 T.

The quantification of blood oxygenation-level dependent (BOLD) functional MRI (fMRI) signals is closely related to cerebral blood flow (CBF) change; therefore, understanding the exact relationship between BOLD and CBF changes on a pixel-by-pixel basis is fundamental. In this study, quantitative CBF changes induced by neural activity were used to quantify BOLD signal changes during somatosensory stimulation in alpha-chloralose-anesthetized rats. To examine the influence of fast-moving vascular spins in quantifying CBF, bipolar gradients were employed. Our data show no significant difference in relative CBF changes obtained with and without bipolar gradients. To compare BOLD and CBF signal changes induced by neural stimulation, a spin-echo (SE) sequence with long SE time of 40 ms at 9.4 T was used in conjunction with an arterial spin labeling technique. SE BOLD changes were quantitatively correlated to CBF changes on a pixel-by-pixel and animal-by-animal basis. Thus, SE BOLD-based fMRI at high magnetic fields allows a quantitative comparison of functional brain activities across brain regions and subjects.     

Renal arterial blood flow measurement by breath‐held MRI: Accuracy in phantom scans and reproducibility in healthy subjects

This study evaluates reliability of current technology for measurement of renal arterial blood flow by breath‐held velocity‐encoded MRI. Overall accuracy was determined by comparing MRI measurements with known flow in controlled‐flow‐loop phantom studies. Measurements using prospective and retrospective gating methods were compared in phantom studies with pulsatile flow, not revealing significant differences. Phantom study results showed good accuracy, with deviations from true flow consistently below 13% for vessel diameters 3mm and above. Reproducibility in human subjects was evaluated by repeated studies in six healthy control subjects, comparing immediate repetition of the scan, repetition of the scan plane scouting, and week‐to‐week variation in repeated studies. The standard deviation in the 4‐week protocol of repeated in vivo measurements of single‐kidney renal flow in normal subjects was 59.7 mL/min, corresponding with an average coefficient of variation of 10.55%. Comparison of renal arterial blood flow reproducibility with and without gadolinium contrast showed no significant differences in mean or standard deviation. A breakdown among error components showed corresponding marginal standard deviations (coefficients of variation) 23.8 mL/min (4.21%) for immediate repetition of the breath‐held flow scan, 39.13 mL/min (6.90%) for repeated plane scouting, and 40.76 mL/min (7.20%) for weekly fluctuations in renal blood flow. Magn Reson Med 63:940–950, 2010. © 2010 Wiley‐Liss, Inc.     

Functional connectivity in blood oxygenation level‐dependent and cerebral blood volume‐weighted resting state functional magnetic resonance imaging in the rat brain

Purpose:

To directly compare functional connectivity and spatiotemporal dynamics acquired with blood oxygenation level‐dependent (BOLD) and cerebral blood volume (CBV)‐weighted functional magnetic resonance imaging (fMRI) in anesthetized rats.

Materials and Methods:

A series of BOLD images were acquired in 10 rats followed by CBV‐weighted images created by injection of ultrasmall iron oxide particles. Functional connectivity, spectral information, and spatiotemporal dynamics were compared for the BOLD and CBV‐weighted resting state scans.

Results:

BOLD scans exhibited higher cross‐correlation values compared to CBV‐weighted scans, but the spatial patterns of correlation were similar. The BOLD spectrum contains power evenly distributed throughout the low‐frequency range while the CBV power spectrum exhibited a high power peak localized to ≈0.2 Hz. Both BOLD and CBV resting state scans showed similar propagating waves of activity along the cortex from the SII toward MI; however, these waves were detected more often in BOLD scans than in CBV scans.

Conclusion:

While the power spectrum of the CBV signal is different from that of the BOLD signal, both connectivity maps and spatiotemporal dynamics are similar for the two modalities. Further experiments should address the relationship between spontaneous neural activity, local changes in metabolism, and hemodynamic fluctuations to elucidate the origins of the BOLD and CBV signals. J. Magn. Reson. Imaging 2010;32:584–592. © 2010 Wiley‐Liss, Inc.     

Functional arterial spin labeling: Optimal sequence duration for motor activation mapping in clinical practice

Purpose:

To determine the minimal optimal functional arterial spin labeling (fASL) sequence duration allowing steady and reproducible motor activation mapping.

Materials and Methods:

Three magnetic resonance imaging (MRI) sessions including fASL and blood oxygenation level‐dependent (BOLD) functional MRI (fMRI) sequences were performed on 12 healthy subjects at 3T with a 32‐channel coil. The raw 7‐minute fASL sequence was truncated to obtain six fASL sequences with durations ranging from 1–6 minutes. All the resulting fASL activations were compared between themselves and with both the 7‐minute fASL and BOLD activations. Quantitative parameters assessed activation location (activated volume, barycenter, and distance between barycenters), activation quantification (activation‐related cerebral blood flow), and intraindividual reproducibility across fMRI sessions. The statistical analysis was based on analysis of variance (ANOVA) and Tukey's multiple comparisons.

Results:

Four‐minute fASL achieved steady location and quantification of activation with the activated volume corresponding to 81% of the 7‐minute fASL volume and a barycenter located 1.2 mm from the 7‐minute fASL barycenter and 3.0 mm from the BOLD fMRI barycenter. Four‐minute fASL reproducibility was high and statistically equivalent to 7‐minute values.

Conclusion:

A 4‐minute fASL sequence is thus a reliable tool for motor activation mapping and suitable for use in clinical practice. J. Magn. Reson. Imaging 2012; 36:1435–1444. © 2012 Wiley Periodicals, Inc.     

Spatiotemporal dynamics of low frequency fluctuations in BOLD fMRI of the rat

Purpose

To examine spatiotemporal dynamics of low frequency fluctuations in rat cortex.

Materials and Methods

Gradient‐echo echo‐planar imaging images were acquired from anesthetized rats (repetition time = 100 ms). Power spectral analysis was performed to detect different frequency peaks. Functional connectivity maps were obtained for the frequency peaks of interest. The images in the filtered time‐series were displayed as a movie to study spatiotemporal patterns in the data for frequency bands of interest.

Results

High temporal and spectral resolution allowed separation of primary components of physiological noise and visualization of spectral details. Two low frequency peaks with distinct characteristics were observed. Selective visualization of the second low frequency peak revealed waves of activity that typically began in the secondary somatosensory cortex and propagated to the primary motor cortex.

Conclusion

To date, analysis of these fluctuations has focused on the detection of functional networks assuming steady state conditions. These results suggest that detailed examination of the spatiotemporal dynamics of the low frequency fluctuations may provide more insight into brain function, and add a new perspective to the analysis of resting state fMRI data. J. Magn. Reson. Imaging 2009;30:384–393. © 2009 Wiley‐Liss, Inc.     

MRI of spontaneous fluctuations after acute cerebral ischemia in nonhuman primates

PURPOSE: To study the spontaneous low-frequency blood oxygenation level-dependent (BOLD) functional MRI (fMRI) signal fluctuations during hyperacute focal cerebral ischemia. MATERIALS AND METHODS: A stroke model in nonhuman primates (macaques) was used in this study. Spontaneous fluctuations were recorded using a series of gradient-recalled echo (GRE) echo-planar imaging (EPI) images. Fast Fourier transformation (FFT) was performed on the serial EPI data to calculate the frequency and magnitude of the spontaneous fluctuations. Diffusion tensor imaging (DTI) and perfusion-weighted imaging (PWI) were preformed to detect the ischemic lesion. RESULTS: The frequency of these fluctuations decreased in the periinfarct tissue in the ipsilateral hemisphere, while their magnitude increased. This area of abnormal signal fluctuations often extended beyond the hyperacute diffusion/perfusion abnormality. CONCLUSION: This study suggests that measurement of the spontaneous fMRI signal fluctuations provides different information than is available from diffusion/perfusion or T2-weighted MRI.     

3D single‐shot VASO using a maxwell gradient compensated GRASE sequence

The vascular space occupancy (VASO) method was recently proposed as a functional MRI (fMRI) method that is capable of detecting activation‐related changes in blood volume (CBV), without the need for a blood‐pool contrast agent. In the present work we introduce a new whole‐brain VASO technique that is based on a parallel‐accelerated single‐shot 3D GRASE (gradient and spin echo) readout. The GRASE VASO sequence employs a flow‐compensated correction scheme for concomitant Maxwell gradients which is necessary to avoid smearing artifacts that may occur due to violation of the Carr–Purcell–Meiboom–Gill (CPMG) condition for off‐resonance excitation. Experiments with 6 min of visual‐motor stimulation were performed on eight subjects. At P < 0.01, average percent signal change and t‐score for visual stimulation were ?3.11% and ?8.42, respectively; activation in left and right motor cortices and supplementary motor area was detected with ?2.75% and ?6.70, respectively. Sensitivity and signal changes are comparable to those of echo‐planar imaging (EPI)‐based single‐slice VASO, as indicated by additional visual‐task experiments (?3.39% and ?6.93). The method makes it possible to perform whole‐brain cognitive activation studies based on CBV contrast. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.     

Comparison of the quantitative first pass myocardial perfusion MRI with and without prospective slice tracking: Comparison between breath‐hold and free‐breathing condition

Physiologic motion of the heart is one of the major problems of myocardial blood flow quantification using first pass perfusion–MRI method. To overcome these problems, a perfusion pulse sequence with prospective slice tracking was developed. Cardiac motion was monitored by a navigator directly positioned at heart's basis to overcome no additional underlying model calculations connecting diaphragm and cardiac motion. Additional prescans were used before the perfusion measurement to detect slice displacements caused by remaining cardiac motion between navigator and the perfusion slice readout. The pulse sequence and subsequent quantification of myocardial blood flow was tested in healthy pigs with and without prospective slice tracking under both free‐breathing and breath‐hold conditions. To avoid influences by residual contrast agent concentration time courses were analyzed. Median myocardial blood flow values and interquartile ranges with prospective slice tracking under free‐breathing and in a breath‐hold were (1.04, interquartile range = 0.58 mL/min/g) and (1.20, interquartile range = 0.59 mL/min/g), respectively. This is in agreement with published positron emission tomography values. In measurements without prospective slice tracking (1.15, interquartile range = 1.58 mL/min/g), the interquartile range is significantly (P < 0.012) larger because of residual cardiac motion. In conclusion, prospective slice tracking reduces motion‐induced variations of myocardial blood flow under both during breath‐hold and under conditions of free‐breathing. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.     

Do respiration and cardiac motion induce magnetic field fluctuations in the breast and are there implications for MR thermometry?

Purpose

To assess the distribution of respiration and cardiac motion‐induced field fluctuations in the breast and to evaluate the implications of such fluctuations for proton resonance frequency shift (PRFS) MR thermometry in the breast.

Materials and Methods

Gradient echo MR field maps were made to study the effect of regular respiration, maximum capacity respiration, and cardiac motion on the stability of the local magnetic field in four healthy female volunteers. Field fluctuations (in parts‐per‐million [ppm]) were averaged over a region of interest covering both breasts.

Results

The average field fluctuation due to regular respiration was 0.13 ppm, due to maximum capacity respiration 0.16 ppm and <0.03 ppm due to cardiac motion. These fluctuations can be misinterpreted as temperature changes of 13, 16, and 3°C when PRFS‐based MR thermometry is used during thermal treatment of breast cancer.

Conclusion

Respiration causes significant field fluctuations in the breast. If MR thermometry were to be safely used in clinical practice, these fluctuations should be taken into account and should probably be corrected for. J. Magn. Reson. Imaging 2009;29:731–735. © 2009 Wiley‐Liss, Inc.     

Effective motion-sensitizing magnetization preparation for black blood magnetic resonance imaging of the heart

Purpose

To investigate the effectiveness of flow signal suppression of a motion‐sensitizing magnetization preparation (MSPREP) sequence and to optimize a 2D MSPREP steady‐state free precession (SSFP) sequence for black blood imaging of the heart.

Materials and Methods

Using a flow phantom, the effect of varying field of speed (FOS), b‐value, voxel size, and flow pattern on the flow suppression was investigated. In seven healthy volunteers, black blood images of the heart were obtained at 1.5T with MSPREP‐SSFP and double inversion recovery fast spin echo (DIR‐FSE) techniques. Myocardium and blood signal‐to‐noise ratio (SNR) and myocardium‐to‐blood contrast‐to‐noise ratio (CNR) were measured. The optimal FOS that maximized the CNR for MSPREP‐SSFP was determined.

Results

Phantom data demonstrated that the flow suppression was induced primarily by the velocity encoding effect. In humans, FOS = 10–20 cm/s was found to maximize the CNR for short‐axis (SA) and four‐chamber (4C) views. Compared to DIR‐FSE, MSPREP‐SSFP provided similar blood SNR efficiency in the SA basal and mid‐views and significantly lower blood SNR efficiency in the SA apical (P = 0.02) and 4C (P = 0.01) views, indicating similar or better blood suppression.

Conclusion

Velocity encoding is the primary flow suppression mechanism of the MSPREP sequence and 2D MSPREP‐SSFP black blood imaging of the heart is feasible in healthy subjects. J. Magn. Reson. Imaging 2008;28:1092–1100. © 2008 Wiley‐Liss, Inc.     

Effect of inflow of fresh blood on vascular‐space‐occupancy (VASO) contrast

In vascular‐space‐occupancy (VASO)‐MRI, cerebral blood volume (CBV)‐weighted contrast is generated by applying a nonselective inversion pulse followed by imaging when blood water magnetization is zero. An uncertainty in VASO relates to the completeness of blood water nulling. Specifically, radio frequency (RF) coils produce a finite inversion volume, rendering the possibility of fresh, non‐nulled blood. Here, VASO‐functional MRI (fMRI) was performed for varying inversion volume and TR using body coil RF transmission. For thin inversion volume thickness (δ_tot < 10 mm), VASO signal changes were positive (ΔS/S = 2.1–2.6%). Signal changes were negative and varied in magnitude for intermediate inversion volumes (δ_tot = 100–300 mm), yet did not differ significantly (P > 0.05) for δ_tot > 300 mm. These data suggest that blood water is in steady state for δ_tot > 300 mm. In this appropriate range, long‐TR VASO data converged to a less negative value (ΔS/S = –1.4% ± 0.2%) than short‐TR data (ΔS/S = –2.2% ± 0.2%), implying that cerebral blood flow or transit‐state effects may influence VASO contrast at short TR. Magn Reson Med 61:473–480, 2009. © 2009 Wiley‐Liss, Inc.     

Noise suppression digital filter for functional magnetic resonance imaging based on image reference data

The central decision in every functional magnetic resonance imaging (fMRI) experiment is whether pixels in brain tissues are showing activation in response to neural stimulus or as a result of noise. Images are degraded not only by random (e.g., thermal) noise, but also by structured noise due to MR system characteristics, cardiac and respiratory pulsations, and patient motion. A novel digital filter has been developed to suppress cardiac and respiratory structured noise in fMRI images, using estimates of structured and random noise power spectra obtained directly from the images. It is an adaptive filter based on stationary noise statistics, and is equivalent in form to a Wiener filter. A mathematical model of the filtering process was developed to understand how the strength and distribution of structured and random noise power influenced filter performance. The filter was tested using images from an auditory activation study in ten subjects. In subjects whose structured noise power was localized to a relatively narrow frequency range, a strong relationship was found, both experimentally (R = 0.975, P < 0.0004 for H_o: R = 0) and using the model, between filter performance and the level of structured noise power contaminating the experiment frequency. The filter significantly reduced the rate of false-positive activations in the subset of subjects whose experiment frequency was relatively heavily contaminated by structured noise. Notch filters, that simply eliminate unwanted frequencies, performed poorly in all subjects. Unlike the proposed Wiener filter, these filters did not suppress structured noise power at the experiment frequency that contributes to false-positive activations.     

fMRI activation mapping as a percentage of local excitation: Consistent presurgical motor maps without threshold adjustment

Purpose

To evaluate the performance of a relative activation amplitude algorithm, versus standard t‐value thresholding, for reliably establishing the location, amplitude, and spatial extent of functional magnetic resonance imaging (fMRI) brain activation for presurgical planning.

Materials and Methods

Diagnostic fMRI maps from 42 neurosurgical patients performing a simple hand movement task were analyzed. Relative activation maps were made by normalizing statistical t‐value maps to the local peak activation amplitude within each functional brain region. The spatial distribution of activation was quantified and compared across mapping algorithms, subjects, and scan duration.

Results

Whereas the spatial distribution of blood oxygenation level‐dependent (BOLD) t‐value statistical activation maps was highly variable across subjects and scan duration, the spatial distribution of relative activation maps was highly reproducible both within individual subjects and across different subjects. In every case the 40% most active voxels in the cortical hand region were consistently localized to the pre‐ and postcentral gyri of the sensorimotor cortex.

Conclusion

The reproducibility and anatomical specificity of the spatiotemporal pattern of BOLD activation makes relative amplitude fMRI mapping a useful tool for clinical imaging, where accuracy, reproducibility, and quality control are critical concerns. J. Magn. Reson. Imaging 2009;29:751–759. © 2009 Wiley‐Liss, Inc.