Abstract
Arterial spin labeling (ASL) uses magnetic resonance imaging methods to measure cerebral blood flow (CBF) non-invasively. ASL CBF validly localizes brain function and may be especially useful for studies where the time frame of behavioral change is more than a few minutes, such as in longitudinal and treatment studies. ASL measures of cerebral perfusion are highly accurate in detecting lesion laterality in temporal lobe epilepsy, stenotic-occlusive disease, and brain tumors. Among lesioned patients, ASL CBF has excellent concurrent validity when correlated with CBF measured by Positron Emission Tomography or with dynamic susceptibility-weighted magnetic resonance. ASL CBF can predict tumor grading in vivo and can predict six-month response to the surgical treatment of brain tumors. ASL’s capability to selectively and non-invasively tag flow in major vessels may refine the monitoring of treatment of cerebrovascular disease and brain tumors. Conclusions about the utility of ASL are limited by the small sample sizes of the studies currently in the literature and by the uncertainty caused by the effect of brain disease on transit times of the magnetic tag. As the method evolves, ASL techniques will likely become more widely used in clinical research and practice.
Keywords: Magnetic resonance imaging, Functional, Regional blood flow, Brain mapping, Cerebral stroke, Brain tumors, Epileptic seizures
INTRODUCTION
Arterial spin labeling (ASL) is a developing magnetic resonance method to measure cerebral perfusion (Detre et al., 1992; Alsop, 2005). ASL applies a magnetic label to the water molecules of flowing blood in a region proximal to the imaging slice. As the magnetic label enters the imaging slice it exchanges with tissue water and slightly alters the image contrast. The magnetic label is delivered to the image slice at a rate determined by local cerebral blood flow (CBF) (Buxton et al., 1998; Calamante et al., 1999). Typically the image acquired after magnetic tagging is subtracted from a control image to remove the effects of static magnetization and to control for imaging effects of the tagging experiment unrelated to the rate of blood flow. Figure 1 shows the high resolution of ASL CBF maps with the gyral anatomy of cortical flow clearly visible. Part I of this paper, Alsop’s chapter, and the original sources referenced earlier provide additional detail about ASL methods (Alsop, 2005; Liu & Brown, 2007, this issue).
Fig. 1.

Perfusion images from a FAIR sequence. Voxels were resliced into 1 mm3 and smoothed by an amount of 3.44 mm full width half maximum, the original in-plane pixel length. A threshold was set to emphasize cortical flow.
Part II of this paper summarizes the current findings from studies using ASL to investigate pathophysiology, diagnostic specificity, and treatment outcome in neuropsychiatric disorders. It also reviews the use of ASL to study normal brain function. The papers involving clinical studies were found by searching PubMed using the search terms “Arterial Spin Labeling” and the clinical condition described in the heading of each of the later sections (www.pubmed.gov). Papers written in English and published through the middle of 2006 were reviewed. We report the results of all studies involving patients and selected studies involving animals. Most technical papers focusing on ASL methods identified in the current PubMed search were discussed in Part I of this review (Liu & Brown, 2007, this issue).
Healthy Brain Function
Studies using ASL perfusion to localize the brain’s response to changes of behavioral status are reviewed in Table 1. The studies reviewed include behavioral validation studies of ASL perfusion, studies comparing ASL perfusion with other functional imaging techniques, comparative studies of ASL and blood oxygen level dependent (BOLD) contrast as measures of brain response, and pharmacological studies.
Table 1.
Arterial spin labeling findings during behavioral challenge
| First author | Behavioral paradigm | ASL method | Research design | Primary findings |
|---|---|---|---|---|
| Aguirre (2002) | Circular checkerboard flashing at 10 Hz | Multi-slice CASL and gradient echo imaging | Slow block design, 62 s on/31 s off, N = 10 | The time series of the BOLD signal is dominated by low frequencies, with cycles longer than 60 s.
Perfusion time series is not dominated by low frequency oscillations. ASL CBF has greater sensitivity than BOLD to slowly changing behavioral conditions |
| Brown (2003) | Multi-run, finger-thumb apposition, blocked design | 5-slice PICORE with QUIPSS-II Simultaneous BOLD/ ASL Method | Blinded, cross-over study of acetazolamide versussaline infusion, Blocked design, N = 5 | Following acetazolamide infusion, resting cerebral blood flow increased 20%.
BOLD response dropped 35% after acetazolamide infusion. % change in CBF response during finger-thumb apposition was not affected by acetazolamide. |
| Garraux (2005) | Memory guided sequential finger movements at mean rate ~.5 Hz | 13-slice CASL using surface coil placed on the neck to tag spins and 2D EPI | Single session block design, N = 15 | Slices acquired later in the sequence had less visible perfusion contrast.
Despite a reduction in overall level of ASL contrast in some slices, increases in CBF were observed in all brain regions where they were predicted, from the cortical hand area through the basal ganglia to the anterior cerebellum. |
| Gollub (1998) | Flickering checkerboard | Single slice FAIR | Cocaine versus saline infusion, N = 8 | Although CBF was unchanged by saline infusion, cocaine infusion reduced CBF (−14.1 ± 8.5%).
BOLD response in the occipital cortex did not significantly change after cocaine infusion. |
| Hoge (2005) | Finger-thumb apposition | Multi-slice PICORE with Q2TIPS | Simultaneous ASL, BOLD and diffuse optical imaging recording, N = 7 | Qualitatively the temporal profiles of the measures from the three modalities were the same.
Fractional changes in oxidative metabolism to fractional changes in blood flow were in general agreement with previous studies of flow-metabolism coupling. |
| Huppert (2006) | Brief finger tapping | Multi-slice PICORE with Q2TIPS. Simultaneous ASL and BOLD | Event related with jittered inter- stimulus interval; ASL and BOLD compared with near infrared spectroscopy (NIRS) | BOLD response was more highly correlated with NIRS measure of deoxy-hemoglobin, 0.98, than with oxy-hemoglobin, 0.71.
ASL measured flood flow correlated 0.91 with total hemoglobin and 0.83 with oxy-hemoglobin. |
| Kemeny (2005) | Overt speech involving syllable generation and sentence construction | 12-slice modified FAIR with background suppression | ASL and BOLD studies were performed on separate days. Block design involving rest and the two speech conditions, N = 6 | No apparent artifacts in the CBF images. Presumably false activations in temporopolar and basal frontal regions close to the pharynx in the BOLD images. |
| Kim (2006) | Continuous performance, 2-back working memory task and sustained visual attention task | 14-slice, amplitude modulated CASL | Continuous six minute event related paradigm, N = 17 | Results largely concur with results from studies using PET or BOLD methods. Visual attention increased CBF in right middle frontal gyrus, anterior cingulated/medial frontal gyri, bilateral occipital gyri. Working memory increased CBF in left inferior frontal/precentral gyri, left inferior parietal lobule, anterior cingulated/medial frontal gyri, and left occipital gyrus. |
| Li (2000) | Simultaneous self-paced tapping and checkerboard flickering at 8 Hz | Multi-slice FAIR, multi-slice BOLD, gadolinium bolus tracking | For FAIR and gadolinium scans 3 minute baseline, 4 minute of sustained activation, and 2 minute control, BOLD block design, 30 s on/60 s off, N = 8 | Percent change in CBF for ASL and bolus tracking methods showed good agreement.
Percent change in CBF and CBV during behavioral challenge was greater than BOLD percent change. |
| Mildner (2005) | Colored symbols matched to color word | 8-slice CASL with surface coil tagging of spins in left common carotid artery | Combined BOLD and ASL study. Labeled and non-labeled images were collected in separate blocks. Some subjects required more than one session to collect all images, N = 16. | In some regions, CBF increased 20% to 30% during the matching task.
When ASL and BOLD response overlapped, the BOLD response appeared to be spatially larger. BOLD responses in the intraparietal sulcus and frontal eye fields were observed without any CBF activation apparent. |
| Rao (2000) | Right hand finger-taping at 1, 2 3, 4, and 5 Hz. | Single slice QUIPSS II | Within subject design administration of methylphenidate. Simultaneous BOLD and CBF study. Block design with pseudo-random ordering of tapping rate between epochs. | Increasing tapping rate produced a monotonic increase in % signal change for both BOLD and CBF measures.
%BOLD change appeared more consistently monotonic than %CBF change. ASL perfusion level, %BOLD, and %CBF were unaffected by methylphenidate administration. |
| Restom (2006) | Radial checkerboard flickering at 8 Hz Memory encoding of familiar and unfamiliar landscapes | PICORE-QUIPSS II with dual echo spiral readout Cardiac pulse and respiratory effort | Block designs for both tasks. Checkerboard, N = 6; Memorizing, N = 7 Compared 3 methods of removing physiological noise | A statistical method that assumed that the impact of physiological noise might have differential effects on the tagged and control images improved produced a larger number of activated voxels in both the visual cortex and hippocampal region than did uncorrected data. Generally, this method outperformed the other methods studied. |
| Tjandra (2005) | Right hand finger tapping | PASL with QUIPSS II | CBF and BOLD collected twice on same day and once on a separate day, block design | BOLD areas of activation were larger than CBF areas.
Center of gravity of activated areas within the hand region of interest were not significantly displaced between CBF and BOLD images. CBF appeared less variable across subjects within day. CBF and BOLD results showed similar variability within subjects across sessions. |
| Wang (2003) | Finger tapping | 8-slice CASL | CBF and BOLD were both measured. CBF was measured with 30 s, 1 min, 2.5 min, 5 min, 10 min, 20 min, 24 hr intervals between resting and finger tapping. BOLD was measured with 30 s, 1 min, 2 min, 4 min, 8 min and 1 hr between resting and finger tapping. N = 6 | ASL perfusion can detect differences in motor cortex response with up to 24 hours elapsing between rest and motor response.
ASL perfusion contrast is superior to BOLD contrast when the interval between rest and behavioral response is greater than a few minutes. Brain response measured by ASL perfusion has less inter-subject variation than BOLD contrast. |
| Wang (2005) | Stress paradigm involving mental arithmetic with performance monitoring and spoken responses | CASL | CBF collected during four 8 min runs. The first and last runs were without a task. Run two was counting backwards (low stress), run three was difficult subtraction (high stress). N = 32 | Salivary cortisol increased during the second baseline period following stressful arithmetic.
Salivary cortisol level correlated 0.72 with change in CBF from first to last baseline. Change in subjective stress rating between the low and high stress conditions correlated 0.65 with the change of CBF in ventral right prefrontal cortex. |
| Yee S.-H. (2000) | Silent verb generation to a noun cue | FAIR | Single session event related design with fixed intervals. N = 5 | Increased CBF was observed in Broca’s area during silent speech generation.
CBF reached a maximum value producing a mean increase of 30.7% at ~ 6.5 s after the noun cue was presented. |
| Ye (1998) | Visual N-back working memory task | Single-slice CASL | Block design with alternating 105 s intervals of rest and working memory, N = 6 | Working memory increased CBF an average of 22 ± 5 cc/100 g/min in prefrontal cortex anterior to the precentral gyrus. |
| Yongbi (2002) | One Hz paced, right hand finger tapping | 10-Slice modified FAIR protocol obtained with and without vascular signal suppression | Block design with alternating 30 s periods of finger tapping versus rest CBF at 1.5 T compared with 3.0 T, N = 4. | With vascular signal suppression, signal to noise ratios of resting perfusion was nearly 3 times greater at 3.0 T.
Number of voxels showing a CBF response at 3.0 T was more than 80% greater than the number responding at 1.5 T. No response in supplementary motor area At 1.5 T; significant response at 3.0 T. |
Note. ASL: Arterial spin labeling, BOLD: Blood oxygen-dependent contrast, CASL: continuous arterial spin labeling, CBF: Cerebral blood flow, CBV: Cerebral blood volume, DSWC: dynamic susceptibility weighted contrast, EPI: echoplanar imaging, FAIR: Flow-sensitive Alternating Inversion Recovery, PASL: pulsed arterial spin labeling, PICORE: Proximal Inversion with a Control for Off-Resonance Effects, PET: Positron Emission Tomography, Q2TIPS: QUIPSS II with thin slice TI1 periodic saturation, QUIPSS–II: Quantitative imaging of perfusion using a single subtraction–version II.
Validation studies used the known functional organization of the brain to determine how well ASL perfusion methods can localize brain function. Motor studies uniformly have found ASL CBF changes in the primary motor cortex, and visual stimulation studies have found changes in the occipital cortex (Aguirre et al., 2002; Brown et al., 2003; Garraux et al., 2005; Gollub et al., 1998; Li et al., 2000; Restom et al., 2006; Tjandra et al., 2005; Wang et al., 2003; Yongbi et al., 2002). Motor activation effects are larger at 3.0 T than at 1.5 T, presumably caused by the greater signal to noise of higher field magnets (Yongbi et al., 2002). Cognitive manipulations have also produced expected lateralized and localized ASL CBF changes with language generation activating Broca’s area, visual attention activating anterior cingulate and right prefrontal cortex, and working memory activating the prefrontal and parietal cortex (Kemeny et al., 2005; Kim et al., 2006; Yee et al., 2000; Ye et al., 1998). The spatial activation patterns for ASL CBF obtained during finger tapping or visual stimulation have been shown to agree well with cerebral blood volume changes measured by gadolinium bolus tracking (Li et al., 2000). Moreover, ASL CBF correlates with total and oxy-hemoglobin across time points of a finger-tapping task, as measured by near-infrared spectroscopy (Huppert et al., 2006). In these early studies the spatial and temporal properties of ASL CBF correlate well with other hemodynamic measures of brain activity and with expected patterns of activation based on the known functional organization of the brain.
A detailed comparison of ASL perfusion and BOLD signals was presented in Part I (Liu & Brown, 2007, this issue). The papers reviewed here provide further guidance about when to use each of these methods to study healthy brain function. Unless corrected for physiological confounds, ASL signals are prone to signal variation that reduce their sensitivity to behavioral manipulations (Restom et al., 2006). Perhaps for this reason ASL CBF is less sensitive to parametric manipulations of task demands than is BOLD contrast (Rao et al., 2000). ASL maps also tend to exhibit smaller activation regions than BOLD maps (Mildner et al., 2005; Tjandra et al., 2005). The smaller spatial extent of the ASL maps might be because of their decreased sensitivity to small activation changes or to their improved signal localization (Liu & Brown, 2007, this issue). In some experiments, the advantage of BOLD over ASL measures is reduced by the greater between-subject variation of BOLD measures compared with ASL (Wang, et al., 2003). Even though BOLD contrast is typically more sensitive to changes of behavioral state than ASL CBF, especially when the ASL signal is uncorrected for physiological variation, the advantage of BOLD contrast is limited to paradigms where the delay between the two behavioral conditions of interest is less than one minute. As the interval between two behavioral manipulations increases and exceeds two minutes, ASL perfusion is often more sensitive to changes in brain response than are BOLD signals (Aguirre et al., 2002; Wang et al., 2003). The relative stability of ASL perfusion to long-term temporal effects makes ASL an effective method to study naturalistic longitudinal changes in mood, mental set or drive, or to study interventions. ASL CBF is also less prone than BOLD to false activations during overt speech paradigms, apparently because ASL is less sensitive to susceptibility artifacts caused by the air volume dynamics involved in speaking (Kemeny et al., 2005).
Pharmacological manipulations, such as acetazolamide, that alter brain CBF without altering brain metabolism, affect the magnitude of the BOLD response (Brown et al., 2003). However, pharmacological manipulations that have little impact on brain blood flow, such as methylphenidate, have little impact on BOLD response in brain areas not targeted by the drug (Rao et al., 2000). The impact of drugs that globally affect CBF and brain metabolism are more difficulty to interpret. For example, Gollub and colleagues reported that although cocaine infusion reduced CBF by 14%, BOLD response in the occipital cortex to flickering checkerboard was not significantly altered following cocaine infusion (Gollub et al., 1998). One might conclude from these results that drug-induced alterations in CBF need not affect the BOLD response. Yet, these findings are also compatible with a down regulation of brain metabolism, a potential effect of cocaine administration (Gollub et al., 1998; London et al., 1990).
Neuropsychiatric Disorders
The following section discusses ASL in studies of adults. Wang and Licht’s (2006) recent review discusses ASL in studies of children.
Cerebrovascular Disease
Studies using ASL to investigate CBF have correlated ASL values with clinical, behavioral or other imaging variables or have used ASL to monitor cerebrovascular surgery (See Table 2). Chalela and colleagues (2000) used continuous ASL to study the clinical correlates of flow asymmetries in 15 patients with acute unilateral stroke. See Part 1 for a discussion of continuous ASL (CASL) and pulsed ASL (PASL) (Liu & Brown, 2007, this issue). Eleven of the 15 patients had visible CBF deficits corresponding to the patient’s lateralized symptoms. CBF asymmetries correlated significantly with symptom severity at admission (National Institutes of Health Stroke Scale scores) and with daily functioning at 30 days post-stroke (Rankin Scale) (Bonita & Beaglehole, 1988; Chalela et al., 2000).
Table 2.
Arterial spin labeling findings in patients with cerebrovascular disease
| First author | Patients | ASL method | Correlations | Primary findings |
|---|---|---|---|---|
| Ances (2004) | 10 patients with recent onset of symptos of carotid stenosis studied Pre/Post carotid endarterectomy | CASL | Baseline CBF with %ΔCBF | Baseline CBF correlated −0.78 with %ΔCBF. |
| Chalela (2000) | 15 acute stroke patients (<24 hours post stroke) | CASL | NIH stroke scale & Rankin Scale | CBF asymmetries correlated with outcome severity. |
| Detre (1998) | 14 patients with stroke, transient ischemic attacks, or severe carotid occlusion | CASL | Lateralized carotid stenosis | In all 11 patients with significant carotid stenosis CBF asymmetries were greatest in the hemisphere with the largest stenosis. |
| Floyd (2003) | 12 patients pre/post cardiopulmonary bypass | CASL | Presurgical CBF with ΔHemoglobin | Presurgical CBF and Δhemoglobin predicted ΔCBF multiple R2 = 0.81. |
| Jones (2006) | 19 patients with internal carotid stenosis | Vessel selective PASL with QUIPSS II | Baseline CBF with %ΔCBF | Postsurgical CBF increases ipsilateral to stenosis; decreased CBF supply from contralateral to ipsilateral side. |
| Hendrikse (2004) | 9 Patients with internal carotid occlusions | PASL with multiple inversion times | Ipsilateral CBF contrasted with contralateral CBF | Significant reduction of flow in gray matter ipsilateral to occlusion. |
| Hendrikse (2005) | 4 patients pre/post extracranial to intracranial arterial bypass | Vessel Selective ASL | Ipsilateral CBF contrasted with contralateral CBF | 15% reduction in flow volume within the territory of the bypass compared with contralateral hemisphere. |
| Kimura (2005) | 11 patients with carotid occlusive disease | CASL | ASL CBF with positron emission tomography CBF | Within subject ASL CBF correlated with positron emission tomography CBF; average r = 0.71. |
| Siewart (1997) | 18 Patients with acute stroke | EPISTAR | Gadolinium perfusion technique | Qualitatively the two methods correlated well; 4 EPISTAR studies showed no flow whereas gadolinium showed delayed flow. |
| Strouse (2006) | 24 children with sickle cell anemia | CASL | Wechsler Abbreviated Scale of Intelligence | CBF inversely correlated with Performance IQ. |
| Tsuchiya (2000) | 37 Patients with cerebral infarction | FAIR | 19 with single photon emission computed tomography | FAIR and single photon emission computed tomography correlated well in 15 patients. |
Note. ASL: Arterial spin labeling, CASL: continuous arterial spin labeling, CBF: cerebral blood flow, EPISTAR: Echo-Planar Imaging and Signal Targeting with Alternating Radiofrequency, FAIR: Flow-sensitive Alternating Inversion Recovery, PASL: pulsed arterial spin labeling, QUIPSS II: QUIPSS–II: Quantitative imaging of perfusion using a single subtraction–version II.
Studies of patients with carotid artery occlusion or with high-grade stenosis have often been used to validate CBF techniques (e.g., Ewing et al., 1987; Yamauchi et al., 1996). A study using CASL to measure CBF found flow asymmetries pointing to the involved hemisphere in all 11 patients with clinically significant stenosis (Detre et al., 1998). These results are especially encouraging when considering that CBF studies of carotid artery occlusion or high-grade stenosis are complicated by collateral flow, which can lengthen the transit-time associated with the delivery of a tracer to a region of interest (Ewing et al., 1987; Cosottini et al., 2005). To correct for variable transit times, Hendrikse and co-authors used single-slice, pulsed ASL to acquire flow images at six inversion times ranging from 200 to 1600 msec in nine patients with carotid artery occlusion (Hendrikse et al., 2004). Patients had transient ischemic attacks or minor strokes compatible with ischemia within the vascular territory of the occluded carotid artery. All patients had less than 30% stenosis in the contralateral carotid artery. Except for the two most extreme inversion times, the perfusion-weighted signal in gray matter was less in the hemisphere ipsilateral to the occlusion compared with the contralateral hemisphere or with control values. Curve fitting to the difference images (control minus tag) acquired across inversion times provided a single estimate of CBF, which was significantly lower in the ipsilateral hemisphere compared with flow in the hemisphere opposite the occlusion. CBF estimated from multiple inversion times yielded flow values comparable to values based on previously validated CBF methods (Hendrikse et al., 2004).
Kimura and colleagues (2005) used continuous ASL and CO2 PET to assess regional CBF in 11 patients with unilateral occlusive disease. The authors not only calculated perfusion maps for ASL and PET methods separately, but also estimated transit delays from combined ASL and PET measures. For each subject, ASL CBF was correlated with PET CBF across 48 ROIs. The average correlation over subjects was 0.71. However, the average ASL CBF values were significantly smaller than PET CBF within gray matter ROIs on the affected side. An analysis of the arterial transit times performed by the current reviewers found that the transit times were significantly greater in the involved hemisphere, t(10) = 2.80, p = .019. Moreover, we found that the difference in arterial transit times between the affected and non-affected hemispheres correlated 0.60, p = .051 with the PET/ASL CBF difference in the involved hemisphere. The underestimation of CBF by ASL in the involved hemisphere appears to be due longer transit times, as argued by Kimura and colleagues (2005). Nonetheless, these results show fairly good agreement between ASL and PET CBF measures for patients with unilateral occlusions. Similar agreement has been reported for ASL and SPECT CBF measures in subacute infarction (Tsuchiya et al., 2000).
Ances et al. (2004) used multislice, CASL to study CBF in 10 symptomatic patients with carotid stenosis before and three months after carotid endarterectomy. Vascular regions of interest were drawn on the CBF images. Carotid endarterectomy did not alter global blood flow. Data about CBF changes within the distribution of the operated carotid artery were not provided. The authors stated that when CBF from the anterior and middle cerebral arteries were combined, baseline CBF correlated significantly (r = −.78) with the change in CBF following surgery, whereas the correlation of baseline flow with flow change was nonsignificant (r = .25) in the posterior distribution. Any conclusions to be drawn from these change scores must be tempered by the confounding of baseline scores with simple change scores. Because simple change scores include the baseline in their definition and because measurement error produces regression to the mean, baseline scores can be inversely correlated with change scores even if baseline scores and follow-up scores are randomly generated (Cohen et al., 2003). Using selective labeling of each carotid artery, a recent study of carotid endarterectomy found increased CBF in the middle cerebral artery territory ipsilateral to carotid stenosis and decreased contralateral supply to the ipsilateral side (Jones et al., 2006). Such results call into question the usefulness of global CBF measures to track the hemodynamic effects of cerebrovascular surgery.
Hendrikse and co-authors (2005) used vessel selective ASL to study CBF in seven patients before and after extracranial to intracranial (ECIC) arterial bypass. A novel aspect of this study was the selective labeling of flow within the grafted vessel. Three patients were treated for giant aneurysms, and four were treated for symptoms related to internal carotid occlusion. A turbo transfer insensitive labeling method was used to acquire flow images at inversion times ranging from 200 ms to 2600 ms. ASL CBF measured within the operated and contralateral hemispheres and within the basilar circulation was within the normal range, supporting PET studies that found flow normalization following ECIC arterial bypass (Gibbs et al., 1987; Marshall et al., 2002).
Brain Tumors
MR perfusion studies have focused primarily on the use of ASL to distinguish among tumor types and to monitor treatment change. The current literature on ASL studies of brain tumors is summarized in Table 3. ASL perfusion shows consistently higher CBF values in high-grade than low-grade gliomas (Warmuth et al., 2003; Weber et al., 2006; Wolf et al., 2005). The difference in flow level reliably distinguishes low-grade and high-grade gliomas at sensitivity rates ranging from 79% to 100% and specificity rates ranging from 50% to 100%. One study found that a relative measure of tumor CBF separated untreated grade III and IV gliomas from grade I and II gliomas at 100% accuracy (Warmuth et al., 2003). ASL CBF appeared most valid in distinguishing among tumor types when flows were age-adjusted (Warmuth et al., 2003). Increased CBF can also distinguish higher-grade gliomas from lymphomas, whereas increased peri-tumoral flow in non-enhancing T2-hyperintense regions of glioblastomas can distinguish these primary brain tumors from metastatic tumors (Weber et al., 2006). Brain normalized flow within a metastasis seems to be intermediate, with flow values between those of high-grade and low-grade gliomas (Warmuth et al., 2003).
Table 3.
Arterial spin labeling findings in patients with brain tumors
| First author | Patients | ASL method | Research design | Primary findings |
|---|---|---|---|---|
| Bartsch (2006) | 1 patient with glioblastoma multiforme | PASL with QUIPSS-II | Surgical case study. | Resting ASL maps showed that core of tumor was rostral to primary motor cortex, apparent during perfusion response to finger movement. |
| Warmuth (2003) | 36 Patients with histologically proven tumors | PASL with FAIR Q2TIPS | Cross-sectional correlational study comparing PASL with DSWC in tumor. |
|
| Weber (2003) | 62 patients with brain metastases | PASL with FAIR or FAIR Q2TIPS | Longitudinal treatment design correlating ASL with DSWC in healthy brain tissue. |
|
| Weber (2004) | 25 patients with brain metastases | PASL with FAIR Q2TIPS | Longitudinal treatment design. Scans performed prior to stereotactic radiosurgery and 6 weeks, 12 weeks, and 24 weeks post-surgery. |
|
| Weber (2006) | 79 consecutive patients with brain tumors detected on computerized tomographic scans | Participants received both inflow turbo sampling FAIR and Q2TIPS | Cross-sectional predictive validity design. ASL compared with DSWC, MRI and proton spectroscopy. Criterion was histologically confirmed tumor type. |
|
| Wolf (2005) | 19 patients with high-Grade gliomas and 7 with low-grade gliomas | CASL | Between-group design comparing normalized with non-normalized CBF measures. | Maximum tumor blood flow normalized to global CBF best distinguished low-grade from high-grade tumors. |
Note. ASL: Arterial spin labeling, CASL: continuous arterial spin labeling, CBF: cerebral blood flow, DSWC: dynamic susceptibility weighted contrast, FAIR: Flow-sensitive Alternating Inversion Recovery, MRI: magnetic resonance imaging, PASL: pulsed arterial spin labeling, Q2TIPS: QUIPSS II with thin-slice TI1 periodic saturation, QUIPSS–II: Quantitative imaging of perfusion using a single subtraction–version II.
The accuracy of ASL perfusion measures for the differentiation of tumor types has been compared with the accuracy of dynamic susceptibility weighted contrast (DSWC) measures of perfusion and volume. DSWC involves using rapid MR imaging techniques to track an injected paramagnetic contrast agent over time (Alsop, 2005). The delivery of the contrast agent temporally decreases the MR signal on weighted images (Alsop, 2005). Plots of the change in signal over time provide information about mean transit time, cerebral blood flow, and cerebral blood volume (CBV). As commonly used, DSWC measures mean transit time in absolute units, and relative values of CBF and CBV (Alsop, 2005). DSWC has been used successfully to predict tumor progression (Law et al., 2006). Consequently, DSWC has become an important criterion against which new MR flow methods should be validated in brain tumor patients.
As seen in Table 3, DSWC enhanced MRI values correlated 0.83 with PASL CBF within the tumor region (Warmuth et al., 2003). DSWC correlated .88 and .89 with two different PASL methods when flows were measured in healthy brain regions of patients with brain metastases (Weber et al., 2003). Moreover, ASL and DSWC distinguish high and low grade gliomas at the same significance level (Warmuth et al., 2003). In comparison with DSWC, ASL provides quantitative CBF values that are unrelated to the disruptions of blood-brain barrier, does not require the injection of a contrast agent, and requires little postprocessing so that images are rapidly available for clinical interpretation. DSWC has better signal to noise, permits the acquisition of a greater number of slices, and provides information about tumor blood volume and vessel permeability (Warmuth et al., 2003; Weber et al., 2003).
Weber and colleagues (2004) used FAIR Q2TIPS, a type of pulsed ASL, and DSWC to measure CBF prior to stereotactic radiosurgery and 6, 12, and 24 weeks post-surgery in a sample of 25 patients with brain metastasis. Patients were divided into those showing tumor remission, tumor stability or tumor progression at six months. Baseline regional CBF did not predict tumor response. However, a reduction in the ratio of tumor CBF to contralateral gray matter CBF at six weeks predicted tumor responders with 100% sensitivity and specificity (Weber et al., 2004). ASL was more accurate in predicting outcome than were MRI measurements of tumor volume. DSWC had sensitivity and specificity values similar to ASL values. In a related study, ASL CBF measured in healthy brain tissue did not change after stereotactic radiosurgery to treat metastatic tumors (Weber et al., 2003). Although the results of the Weber et al. (2004) study confirmed ASL’s potential to predict and to monitor treatment response in brain tumor, only three patients were non-responders, thereby limiting the study’s generalizability.
Alzheimer’s Disease
A preliminary study using pulsed ASL demonstrated decreased parieto-occipital and temporo-occipital perfusion compared with controls. Moreover, parieto-occipital hypoperfusion correlated with increasing dementia severity (Sandson et al., 1996). A subsequent ASL study demonstrated significant temporal, parietal, frontal, and posterior cingulate hypoperfusion in AD subjects. In this cohort, posterior parietal and posterior cingulate hypoperfusion correlated with increasing dementia severity (Alsop et al., 2000). More recently, pulsed ASL revealed hypoperfusion in AD patients bilaterally in the inferior parietal and inferior frontal cortex, as well as the posterior cingulate (Johnson et al., 2005). Compared with healthy controls, subjects with mild cognitive impairment (MCI) showed decreased perfusion (albeit less robust than in the AD group) in an area of the inferior right parietal lobe similar to the region of most severely reduced perfusion in the AD group (Johnson et al., 2005). One limitation of the Johnson study was that it tagged arterial spins at the level of the circle of Willis. Thus, the area imaged excluded relevant inferior portions of the brain such as medial temporal lobes and inferior frontal areas (Krishnan et al., 2005).
Although sites of hypoperfusion in these three studies differ somewhat—probably related to differences in brain coverage—they are consistent with previous PET findings as well as the pathophysiology and neuropsychological deficits characteristics of AD. If the MCI findings are replicated, ASL measures of perfusion may prove a useful biological marker for MCI.
Epilepsy
ASL has been used to augment presurgical planning of epilepsy patients and to explore basic questions about the coupling of CBF and metabolism during interictal epileptic discharges. Using continuous ASL, one study found abnormal asymmetries of medial temporal lobe flow in patients with intractable temporal lobe epilepsy (Wolf et al., 2001). Seizure laterality was determined by surface and intracranial electroencephalograms, PET 18F-fluorodeoxyglucose scans, and surgical outcome. When the sign of an ASL perfusion asymmetry index obtained in the medial temporal lobe was used to predict the laterality of the temporal lobe seizure, relative hypoperfusion correctly predicted lesion laterality in 11 of the 12 cases. The one patient whose ASL measure predicted lesion laterality opposite from the surgical hemisphere was not seizure free after the surgery. Diagnostic reading of presurgical magnetic resonance images correctly identified seizure laterality in only nine patients, and an asymmetry index based on hippocampal volume measured from structural MR images correctly lateralized 8 of 11 cases. The ASL measure of temporal lobe perfusion asymmetry correlated .79 with the asymmetry measure derived from the 18F-fluorodeoxyglucose PET scans. In this small study, ASL measures of asymmetry outperformed all other methods except FDG-PET, which was used to define the optimal side for surgery and, therefore, formed part of the prediction criterion (Wolf et al., 2001). Another study of patients with temporal lobe epilepsy found a significant correlation of .75 between a pulsed ASL measure of asymmetrical perfusion and an asymmetry measure of CBF obtained by H215O PET perfusion imaging (Liu et al., 2001).
The use of ASL flow measures to identify temporal lobe regions containing abnormal neural tissue assumes that the coupling of flow and neural metabolism is not disrupted by epilepsy. CBF and regional metabolism in an epileptic focus increase during the early phase of seizure activity, then decrease with nerve cell death (Duncan, 1997; Henry et al., 1993; Ingvar, 1986; Weinand & Carter, 1994). Studies of interictal flow and metabolism in focal epilepsy have produced mixed results, with evidence supporting both compromised (Breier et al., 1997; Fink et al., 1996) and preserved (Franck et al., 1989; Kuhl et al., 1980) coupling of CBF and metabolism. Stefanovic and colleagues (2005) used combined ASL and BOLD measures to study the coupling of CBF and cerebral oxygen utilization in seven patients with idiopathic generalized epilepsy studied during performance of a motor task and while experiencing interictal epileptic discharges. Interictal epileptic activity typically involved several dozen bursts of spike and wave discharges each lasting less than four seconds. The interictal epileptic discharges occurred in the absence of clinical signs of a seizure. Multislice, pulsed ASL obtained by a PICORE QUIPSS II protocol was used to measure CBF (Stefanovic et al., 2005; Wong et al., 1998). A standard gradient echo, weighted sequence was used to obtain BOLD signal measurements. Both CBF and BOLD images were obtained during a block design experiment comparing rest with a pinch-grip of a pressure bulb and, in a separate experiment, during graded exposure to carbon dioxide (hypercapnia). The percent change in the cerebral metabolic rate of oxygen utilization (%ΔCMRO2 ) was obtained from CBF and BOLD measures using the deoxyhemoglobin dilution model (Davis et al., 1998). The hypercapnia experiment provided a calibration constant that defined the maximum BOLD signal change possible given the specific hardware and pulse sequences used. See Liu and Brown (2007) or Davis et al. (1998) for a discussion of the calibrated BOLD method. The CBF response to the pinch-grip condition was linearly related to %ΔCMRO2, with a slope equal to 0.46 ± 0.05. The coupling was very similar to the value observed by these authors in a previously published group of healthy controls, where the slope equaled .44 ± 0.04 (Stefanovic et al., 2005). In only two subjects did any areas of BOLD response to interictal epileptic discharges overlap with CBF changes. Across these small areas of overlap, %ΔCBF and %ΔCMRO2 were linearly related with a slope equal to 0.48 ± 0.17, a value very similar to those observed in the pinch-grip paradigm.
Stefanovic and colleagues interpreted their results as supporting the coupling of flow and metabolism during behavioral activation tasks in patients with epilepsy (Stefanovic et al., 2005). It will be important to confirm this coupling with other behavioral paradigms, especially those that activate temporal lobe function. Their data on the coupling of flow and metabolism during interictal epileptic discharges is less convincing. The regression analysis Stefanovic and colleagues reported involved only two patients, and one patient contributed more than one data point to the regression. Moreover, the BOLD and CBF t-value maps Stefanovic and colleagues (2005) published showed areas where epileptic discharges appeared to have altered BOLD signals without altering flow, suggesting an uncoupling of metabolism and flow. Thus, whether CBF and BOLD signals remain coupled during interictal epileptic discharges remains an open question.
Affective Disorders
In the only study to utilize ASL in affective disorders, hyper-perfusion measured by pulsed ASL in ventral anterior cingulate and amygdala predicted antidepressant response to partial sleep deprivation among individuals with major depression (Clark et al., 2006a, 2006b). These results were consistent with previous PET and SPECT studies of sleep deprivation and antidepressant medication in major depression (Buchsbaum et al., 1997; Mayberg et al., 1999; Wu et al., 1999; Drevets et al., 2002).
Anxiety Disorders and Stress
PubMed searches that combined the terms “Anxiety Disorder,” “Post-traumatic Stress Disorder,” or “Phobia” individually with “Arterial Spin Labeling” did not locate any papers. We did find one study using CASL to study changes in cerebral perfusion related to the stress induced by performance-monitored mental arithmetic (Wang et al., 2005). The authors chose CASL perfusion methods over BOLD because of the former method’s long-term stability (Liu & Brown, 2007, this issue). CBF in the right ventral prefrontal cortex, right insular-putamenal region, and anterior cinglulate showed sustained activation among individuals showing high stress responses to mental arithmetic. Moreover, baseline CBF in the ventral, right prefrontal cortex and right orbitofrontal cortex correlated with changes in physiological measures of stress induced by mental arithmetic. This study shows the usefulness of combining baseline perfusion with activation data to support inferences about brain systems that mediate stress responses.
Substance Use Disorders
A study contrasting the relationship between BOLD and ASL measures during IV cocaine and placebo (saline) infusion found that BOLD signal intensity (measured during visual stimulation) did not change significantly with cocaine infusion, even though IV cocaine produced a 14% decrease in global cortical gray matter perfusion. (Gollub et al., 1998). A pulsed ASL study showed decreased prefrontal and left parietal perfusion in young alcohol dependent women compared with women who were not alcohol dependent (Clark et al., in press). In both cases, ASL findings were consistent with PET and SPECT findings (Moselhy et al., 2001; Demir et al., 2002; Gottschalk & Kosten 2002). A recent paper reported that chronic cigarette smoking in alcohol dependent individuals is associated with reduced ASL-measured CBF in frontal and parietal cortex (Gazdzinski et al., 2006).
Human Immunodeficiency Virus
Continuous ASL has also been successfully used to study HIV patients (Ances et al., 2006). Compared with HIV negative controls, the HIV-associated neurocognitive impairment (HNCI) group showed significantly decreased blood flow in the caudate nucleus, a structure preferentially affected in HIV infection. HIV patients with subsyndromal neuro-cognitive findings showed a mild decrease in caudate perfusion compared with healthy controls (p = .070). Reduced caudate perfusion may be a useful biomarker for subsequent studies of neurocognitive decline in HIV positive subjects (Ances et al., 2006).
COMMENT
Arterial spin labeling appears to be a valid method for the study of lower and higher brain functions. ASL CBF detects expected patterns of brain activation predicted from the known functional organization of the motor, visual, and language systems of the brain. ASL CBF has strong concurrent validity as a marker of brain function when correlated with dynamic susceptibility weighted contrast imaging and with near infrared spectroscopy. ASL CBF more strongly correlates with changes of behavioral state than do BOLD signals when the changes occur over periods longer than a few minutes. ASL measures of brain response appear to be less variable across subjects than do BOLD measures. These properties make ASL an especially useful noninvasive method to measure CBF in longitudinal and treatment studies. ASL’s lower contrast to noise when compared with BOLD can be improved by removing unwanted variation through physiological monitoring and by performing studies at higher field strengths. ASL CBF seems less sensitive to artifacts created by spoken responses than do BOLD signals. ASL CBF is likely to become commonly used in cognitive and affective neuroscience to study slowly evolving changes in psychological state, such as mood changes, and to help with the interpretation of BOLD findings in pharmacological studies.
The literature reviewed supports the validity of ASL perfusion as a marker of neuronal dysfunction in several neuropsychiatric disorders. ASL perfusion is highly accurate in detecting the laterality of a lesion. In particular, asymmetry of ASL perfusion is strongly correlated with lateralized clinical symptoms in stroke, CBF asymmetries in stenotic-occlusive disease, hemodynamic asymmetries produced by lateralized brain tumors, and lateralized temporal lobe abnormalities in epilepsy. Within lesioned areas, ASL measures of perfusion have excellent concurrent validity when correlated with PET CBF or with dynamic susceptibility-weighted MR signals. Among individuals with stroke, ASL can provide a clearer picture of the localization of ischemic deficit underlying focal neuropsychological functions than structural MRI (Love et al., 2002). Among brain tumor patients, ASL can be used to provide an initial tumor grading. ASL appears to be useful when planning epilepsy surgery and when predicting treatment response to brain tumor surgery. Early post-surgical changes in ASL perfusion appear to be especially accurate in predicting treatment response in brain tumors. The ability of ASL to selectively and non-invasively tag flow through the major vascular territories is likely to be especially useful when evaluating and monitoring treatment of cerebrovascular disease and brain tumors. Conclusions about ASL must be qualified by the small sample sizes of the studies currently in the literature. Moreover, few studies have used ASL to investigate CBF in epilepsy, mood disorders, and HIV, limiting conclusions that we could draw about the utility of ASL in these disorders. Finally, no human studies using ASL to study “head injury,” “traumatic brain injury,” “anxiety disorders,” “obsessive-compulsive disorders,” “post-traumatic stress disorder,” “phobia,” or “schizophrenia” were identified in our PubMed search (www.pubmed.gov). ASL research into these common neuropsychiatric disorders is uncharted.
Although ASL provides highly valid qualitative information about CBF abnormalities, disease processes that alter the structure of the cerebrovasculature can limit the use of ASL to quantify blood flow in absolute units. Perhaps the most important challenge is that diseases that alter the path of flowing blood can change the transit times involved in the delivery of tapped blood to a brain region. Variation in transit times, in turn, causes unwanted variation in CBF estimates (Buxton et al., 1998). Disorders, such as vascular anomalies or stenotic-occlusive disease, that distort the geometry of cerebral vessels or interrupt the normal path of blood’s flow through the brain are known to alter blood flow transit times (Kim et al., 2002; Matsumoto et al., 2000). Investigators and clinicians using ASL to examine CBF in conditions known to alter transit times should have a firm understanding of how altered transit times might influence quantitative CBF measures for the disorder they are studying. Fitting flow equations to ASL data points from a study involving multiple inversion times is one method to account for variable transit times in clinical studies (Hendrikse et al., 2004). Alternatively, a relatively new ASL method, referred to as velocity-selective ASL, that tags blood based on velocity as opposed to spatial position, has the potential to provide accurate CBF measures even in the presence of long transit delays (Liu & Brown, 2007; Wong et al., 2006). The characteristics of velocity-selective ASL are under active investigation.
Although ASL CBF measures correlated well with other accepted blood flow measures, ASL has lower intrinsic signal to noise than some other techniques (Wintermark et al., 2005). Moreover the incremental validity of ASL perfusion compared with more established methods, such as PET and dynamic susceptibility-weighted MR, still remains to be determined. Yet, the studies reviewed suggest that ASL methods of measuring CBF may be as accurate as more invasive methods. Given that ASL is repeatable, non-invasive, and easily integrated with other MR methods to image brain anatomy and metabolism, ASL blood flow techniques are likely to become more widely used in clinical research and practice.
Acknowledgments
Preparation of this paper was supported by the VISN 22 Mental Illness Research Education and Clinical Center, a Biomedical Engineering Research Grant from the Whitaker Foundation, and by NIH grants #1 U24 RR021992 to the Function Biomedical Informatics Research Network (FBIRN, http://www.nbirn.net), 1 RO1 NS051661 to the first author, 5 K08 MH01642 and the 2006 Sleep Research Society Foundation J. Christian Gillin, M.D. Research Award to the second author, and 1 R01 NS367220 to Richard Buxton.
References
- Aguirre GK, Detre JA, Zarahn E, Alsop DC. Experimental design and the relative sensitivity of BOLD and perfusion fMRI. NeuroImage. 2002;15:488–500. doi: 10.1006/nimg.2001.0990. [DOI] [PubMed] [Google Scholar]
- Alsop DC. Perfusion imaging of the brain: Contribution to clinical MRI. In: Edelman RR, Hesselink JR, Zlatkin MB, Crues JV III, editors. Clinical magnetic resonance imaging. 3. Vol. 1. Philadelphia, PA: Saunders Elsevier; 2005. pp. 333–357. [Google Scholar]
- Alsop DC, Detre JA, Grossman M. Assessment of cerebral blood flow in Alzheimer’s disease by spin-labeled magnetic resonance imaging. Annals of Neurology. 2000;47:93–100. [PubMed] [Google Scholar]
- Ances BM, McGarvey ML, Abrahams JM, Maldjian JA, Alsop DC, Zager EL, Detre JA. Continuous arterial spin labeled perfusion magnetic resonance imaging in patients before and after carotid endarterectomy. Journal of Neuroimaging. 2004;14:133–138. [PubMed] [Google Scholar]
- Ances BM, Roc AC, Wang J, Korczykowski M, Okawa J, Stern J, Kim J, Wolf R, Lawler K, Kolson DL, Detre JA. Caudate blood flow and volume are reduced in HIV+ neurocognitively impaired patients. Neurology. 2006;66:862–866. doi: 10.1212/01.wnl.0000203524.57993.e2. [DOI] [PubMed] [Google Scholar]
- Bartsch AJ, Homola G, Biller A, Solymosi L, Bendszus M. Diagnostic functional MRI: Illustrated clinical applications and decision-making. Journal of Magnetic Resonance Imaging. 2006;23:921–932. doi: 10.1002/jmri.20579. [DOI] [PubMed] [Google Scholar]
- Bonita R, Beaglehole R. Modification of Rankin Scale: Recovery of motor function after stroke. Stroke. 1988;19:1497–1500. doi: 10.1161/01.str.19.12.1497. [DOI] [PubMed] [Google Scholar]
- Breier JI, Mullani NA, Thomas AB, Wheless JW, Plenger PM, Gould KL, Papanicolaou A, Willmore LJ. Effects of duration of epilepsy on the uncoupling of metabolism and blood flow in complex partial seizures. Neurology. 1997;48:1047–1053. doi: 10.1212/wnl.48.4.1047. [DOI] [PubMed] [Google Scholar]
- Brown GG, Eyler Zorrilla LT, Georgy B, Kindermann SS, Wong EC, Buxton RB. BOLD and perfusion response to finger-thumb apposition following acetazolamide administration: Differential relationship to global perfusion. Journal of Cerebral Blood Flow and Metabolism. 2003;23:829–837. doi: 10.1097/01.WCB.0000071887.63724.B2. [DOI] [PubMed] [Google Scholar]
- Buchsbaum MS, Wu JC, Siegel BW, Hackett E, Trenary M, Abel L, Reynolds C. Effect of sertraline on regional metabolic rate in patients with affective disorders. Biological Psychiatry. 1997;41:15–22. doi: 10.1016/s0006-3223(96)00097-2. [DOI] [PubMed] [Google Scholar]
- Buxton RB, Frank LR, Wong EC, Siewert B, Warach S, Edelman RR. A general kinetic model for quantitative perfusion imaging with arterial spin labeling. Magnetic Resonance in Medicine. 1998;40:383–396. doi: 10.1002/mrm.1910400308. [DOI] [PubMed] [Google Scholar]
- Calamante F, Thomas DL, Pell GS, Wiersma J, Turner R. Measuring cerebral blood flow using magnetic resonance imaging techniques. Journal of Cerebral Blood Flow and Metabolism. 1999;19:701–735. doi: 10.1097/00004647-199907000-00001. [DOI] [PubMed] [Google Scholar]
- Chalela JA, Alsop DC, Gonzalez-Atavales JB, Maldjian AA, Kasner SE, Detre JA. Magnetic resonance perfusion imaging in acute ischemic stroke using continuous arterial spin labeling. Stroke. 2000;31:680–687. doi: 10.1161/01.str.31.3.680. [DOI] [PubMed] [Google Scholar]
- Clark CP, Brown GG, Archibald SL, Fennema-Notestine C, Braun DR, Thomas LS, Sutherland AN, Gillin JC. Does amygdalar perfusion correlate with antidepressant response to partial sleep deprivation in major depression? Psychiatry Research: Neuroimaging. 2006a;146:43–51. doi: 10.1016/j.pscychresns.2005.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clark CP, Brown GG, Frank L, Thomas L, Sutherland A, Gillin JC. Improved anatomic delineation of the antidepressant response to partial sleep deprivation in medial frontal cortex using perfusion-weighted functional MRI. Psychiatry Research: Neuroimaging. 2006b;146:213–222. doi: 10.1016/j.pscychresns.2005.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Clark CP, Brown GG, Eyler LT, Drummond SPA, Braun DR, Tapert SF. Decreased perfusion in young alcohol-dependent women as compared with age-matched controls. American Journal of Drug and Alcohol Abuse. doi: 10.1080/00952990601082605. in press. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cohen J, Cohen P, West SG, Aiken LS. Applied multiple regression/correlation analysis for the behavioral sciences. 3. Mahwah, NJ: Lawrence Erlbaum Associates, Publishers; 2003. [Google Scholar]
- Cosottini M, Pingitore A, Michelassi MC, Puglioli M, Lazzarotti G, Caniglia M, Parenti G, Bartolozzi C. Redistribution of cerebropetal blood flow in patients with carotid artery stenosis measured non-invasively with fast cine phase contrast MR angiography. European Radiology. 2005;15:34–40. doi: 10.1007/s00330-004-2524-9. [DOI] [PubMed] [Google Scholar]
- Davis TL, Kwong KK, Weisskoff RM, Rosen BR. Calibrated functional MRI: Mapping the dynamics of oxidative metabolism. Proceedings of the National Academy of Sciences USA. 1998;95:1834–1839. doi: 10.1073/pnas.95.4.1834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Demir B, Ulug B, Lay EE, Erbas B. Regional cerebral blood flow and neuropsychological functioning in early and late onset alcoholism. Psychiatry Research. 2002;115:115–125. doi: 10.1016/s0925-4927(02)00071-9. [DOI] [PubMed] [Google Scholar]
- Detre JA, Leigh JS, Williams DS, Koretsky AP. Perfusion imaging. Magnetic Resonance in Medicine. 1992;23:37–45. doi: 10.1002/mrm.1910230106. [DOI] [PubMed] [Google Scholar]
- Detre JA, Alsop DC, Vives LR, Maccotta L, Teener JW, Raps EC. Noninvasive MRI evaluation of cerebral blood flow in cerebrovascular disease. Neurology. 1998;50:633–641. doi: 10.1212/wnl.50.3.633. [DOI] [PubMed] [Google Scholar]
- Drevets WC, Bogers W, Raichle ME. Functional anatomical correlates of antidepressant drug treatment assessed using PET measures of regional glucose metabolism. European Neuropsychopharmacology. 2002;12:527–544. doi: 10.1016/s0924-977x(02)00102-5. [DOI] [PubMed] [Google Scholar]
- Duncan JS. Imaging and epilepsy. Brain. 1997;120(pt 2):339–377. doi: 10.1093/brain/120.2.339. [DOI] [PubMed] [Google Scholar]
- Ewing JR, Robertson WM, Brown GG, Welch KMA. 133Xenon inhalation: Accuracy in detection of ischemic cerebral regions and angiographic lesions. In: Wood JH, editor. Cerebral blood flow: Physiologic and clinical aspects. New York: McGraw-Hill Company; 1987. pp. 202–219. [Google Scholar]
- Fink GR, Pawlik G, Stefan HJ, Pietrzyk U, Wienhard K, Heiss WD. Temporal lobe epilepsy: Evidence for interictal uncoupling of blood flow and glucose metabolism in temporomesial structures. The Journal of Neuroscience. 1996;137:28–34. doi: 10.1016/0022-510x(95)00323-t. [DOI] [PubMed] [Google Scholar]
- Floyd TF, McGarvey M, Ochroch EA, Cheung AT, Augoustides JA, Bavaria JE, Acker MA, Pochettino A, Detre JA. Perioperative changes in cerebral blood flow after cardiac surgery: Influence of anemia and aging. The Annals of Thoracic Surgery. 2003;76:2037–2042. doi: 10.1016/s0003-4975(03)01074-9. [DOI] [PubMed] [Google Scholar]
- Franck G, Salmon E, Sadzot B, Maquet P. Epilepsy: The use of oxygen-15-labeled gases. Seminars in Neurology. 1989;9:307–316. doi: 10.1055/s-2008-1041339. [DOI] [PubMed] [Google Scholar]
- Garraux G, Hallet M, Talagala SL. CASL fMRI of subcortico-cortical perfusion changes during memory-guided finger sequences. NeuroImage. 2005;25:122–132. doi: 10.1016/j.neuroimage.2004.11.004. [DOI] [PubMed] [Google Scholar]
- Gazdzinski S, Durazzo TC, Jahng G-H, Ezekiel F, Banys P, Meyerhoff DJ. Effects of chronic alcohol dependence and chronic cigarette smoking on cerebral perfusion: A preliminary magnetic resonance study. Alcoholism: Clinical and Experimental Research. 2006;30:947–958. doi: 10.1111/j.1530-0277.2006.00108.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gibbs JM, Wise RJ, Thomas DJ, Mansfield AO, Russell RW. Cerebral haemodynamic changes after extracranial-intracranial bypass surgery. Journal of Neurology, Neurosurgery, and Psychiatry. 1987;50:140–150. doi: 10.1136/jnnp.50.2.140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gollub RL, Breiter HC, Kantor H, Kennedy D, Gastfriend D, Mathew RT, Makris N, Guimaraes A, Riorden J, Campbell T, Foley M, Hyman SE, Rosen B, Weisskoff R. Cocaine decreases cortical cerebral blood flow but does not obscure regional activation in functional magnetic resonance imaging in human subjects. Journal of Cerebral Blood Flow and Metabolism. 1998;18:724–734. doi: 10.1097/00004647-199807000-00003. [DOI] [PubMed] [Google Scholar]
- Gottschalk PC, Kosten TR. Cerebral perfusion defects in combined cocaine and alcohol dependence. Drug and Alcohol Dependence. 2002;68:95–104. doi: 10.1016/s0376-8716(02)00109-6. [DOI] [PubMed] [Google Scholar]
- Hendrikse J, van Osch MJ, Rutgers DR, Bakker CJ, Kappelle LJ, Golay X, van der Grond J. Internal carotid artery occlusion assessed at pulsed arterial spin-labeling perfusion MR imaging at multiple delay times. Radiology. 2004;233:899–904. doi: 10.1148/radiol.2333031276. [DOI] [PubMed] [Google Scholar]
- Hendrikse J, van der Zwan A, Ramos LMP, van Osch MJP, Golay X, Tulleken CAF, van der Grond J. Altered flow territories after extracranial-intracranial bypass surgery. Neurosurgery. 2005;57:486–494. doi: 10.1227/01.neu.0000170563.70822.10. [DOI] [PubMed] [Google Scholar]
- Henry TR, Engel J, Jr, Mazziotta JC. Clinical evaluation of interictal fluorine-18-fluorodeoxyglucose PET in partial epilepsy. Journal of Nuclear Medicine. 1993;34:1892–1898. [PubMed] [Google Scholar]
- Hoge RD, Franceschini MA, Covolan RJM, Huppert T, Mandeville JB, Boas DA. Simultaneous recording of task-induced changes in blood oxygenation, volume, and flow using diffuse optical imaging and arterial spin-labeling MRI. NeuroImage. 2005;25:701–707. doi: 10.1016/j.neuroimage.2004.12.032. [DOI] [PubMed] [Google Scholar]
- Huppert TJ, Hoge RD, Diamond SG, Franceschini MA, Boas DA. A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. NeuroImage. 2006;29:368–382. doi: 10.1016/j.neuroimage.2005.08.065. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ingvar M. Cerebral blood flow and metabolic rate during seizures. Relationship to epileptic brain damage. Annals of the New York Academy of Sciences. 1986;462:194–206. doi: 10.1111/j.1749-6632.1986.tb51254.x. [DOI] [PubMed] [Google Scholar]
- Johnson NA, Jahng GH, Weiner MW, Miller BL, Chui HC, Jagust WJ, Gorno-Tempini ML, Schuff N. Pattern of cerebral hypoperfusion in Alzheimer disease and mild cognitive impairment measured with arterial spin-labeling MR imaging: Initial experience. Radiology. 2005;234:851–859. doi: 10.1148/radiol.2343040197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jones CE, Wolf RL, Detre JA, Bas B, Saha PK, Wang J, Gorno-Tempini N, Schuff N. Structural MRI of carotid artery atherosclerotic lesion burden and characterization of hemispheric cerebral blood flow before and after carotid endarterectomy. NMR in Biomedicine. 2006;19:198–208. doi: 10.1002/nbm.1017. [DOI] [PubMed] [Google Scholar]
- Kemeny S, Ye FQ, Birn R, Braun AR. Comparison of continuous overt speech fMRI using BOLD and arterial spin labeling. Human Brain Mapping. 2005;24:173–183. doi: 10.1002/hbm.20078. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim JH, Lee EJ, Lee SJ, Choi NC, Lim BH, Shin T. Reliability of perfusion MR imaging in symptomatic carotid occlusive disease. Cerebral blood volume, mean transit time and time-to-peak. Acta Radiologica. 2002;43:360–364. doi: 10.1080/j.1600-0455.2002.430403.x. [DOI] [PubMed] [Google Scholar]
- Kim J, Whyte J, Wang J, Rao H, Tang KZ, Detre JA. Continuous ASL perfusion fMRI investigation of higher cognition: Quantification of tonic CBF changes during sustained attention and working memory tasks. NeuroImage. 2006;31:376–385. doi: 10.1016/j.neuroimage.2005.11.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kimura H, Kado H, Koshimoto Y, Tsuchida T, Yonekura Y, Itoh H. Multislice continuous arterial spin-labeled perfusion MRI in patients with chronic occlusive cerebrovascular disease: A correlative study with CO2 PET validation. Journal of Magnetic Resonance Imaging. 2005;22:189–198. doi: 10.1002/jmri.20382. [DOI] [PubMed] [Google Scholar]
- Krishnan BA, Talley BJ, Slavin MJ, Doraiswamy PM, Petrella JM. Current status of functional MR imaging, perfusion-weighted imaging, and diffusion-tensor imaging in Alzheimer’s disease diagnosis and research. Neuroimaging Clinics of North America. 2005;15:853–868. doi: 10.1016/j.nic.2005.09.011. [DOI] [PubMed] [Google Scholar]
- Kuhl DE, Engel J, Phelps ME, Selin C. Epileptic patterns of local cerebral metabolism and perfusion in humans determined by emission computed tomography of 18 FDG and 13N-H3. Annals of Neurology. 1980;8:348–360. doi: 10.1002/ana.410080403. [DOI] [PubMed] [Google Scholar]
- Law M, Oh S, Johnson G, Babb JS, Zagzag D, Golfinos J, Kelly PJ. Perfusion magnetic resonance imaging predicts patient outcome as an adjunct to histopathology: A second reference standard in the surgical and non-surgical treatment of low-grade gliomas. Neurosurgery. 2006;58:1099–1107. doi: 10.1227/01.NEU.0000215944.81730.18. [DOI] [PubMed] [Google Scholar]
- Li T-Q, Haefelin TN, Chan B, Kastrup A, Jonsson T, Glover GH, Moseley ME. Assessment of hemodynamic response during focal neural activity in human using bolus tracking, arterial spin labeling and BOLD techniques. NeuroImage. 2000;12:442–451. doi: 10.1006/nimg.2000.0634. [DOI] [PubMed] [Google Scholar]
- Liu H-L, Kochunov P, Hou J, Pu Y, Mahankali S, Feng C-H, Yee SH, Wan YL, Fox PT, Gao JH. Perfusion-weighted imaging of interictal hypoperfusion in temporal lobe epilepsy using FAIR-HASTE: Comparison with PET measurements. Magnetic Resonance in Medicine. 2001;45:431–435. doi: 10.1002/1522-2594(200103)45:3<431::aid-mrm1056>3.0.co;2-e. [DOI] [PubMed] [Google Scholar]
- Liu TT, Brown GG. Measurement of cerebral perfusion in arterial spin labeling: Part 1. Methods. Journal of International Neuropsychology. 2007;13(this issue):517–525. doi: 10.1017/S1355617707070646. [DOI] [PubMed] [Google Scholar]
- London ED, Cascella NG, Wong DF, Phillips RL, Daniels RF, Links JM, Herning R, Grayson R, Jaffe JH, Wagner HN. Cocaine-induced reduction of glucose utilization in human brain. Archives of General Psychiatry. 1990;47:567–574. doi: 10.1001/archpsyc.1990.01810180067010. [DOI] [PubMed] [Google Scholar]
- Love T, Swinney D, Wong E, Buxton R. Perfusion imaging and stroke: A more sensitive measure of the brain bases of cognitive deficits. Aphasiology. 2002;16:873–883. doi: 10.1080/02687030244000356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Marshall RS, Lazar RM, Young WL, Solomon RA, Joshi S, Duong DH, Rundek T, Pile-Spellman J. Clinical utility of quantitative cerebral blood flow measurements during internal carotid artery test occlusions. Neurosurgery. 2002;50:996–1004. doi: 10.1097/00006123-200205000-00012. [DOI] [PubMed] [Google Scholar]
- Matsumoto K, Urano M, Hirai M, Masaki H, Tenjin H, Mineura K. Haemodynamic evaluation of cerebral arteriovenous malformations by quantification of transit time using high speed digital subtraction angiography: Basic considerations. Journal of Clinical Neuroscience. 2000;7:39–41. doi: 10.1054/jocn.2000.0709. [DOI] [PubMed] [Google Scholar]
- Mayberg HS, Liotti M, Brannan SK, McGinnis S, Mahurin RK, Jerabek PA, Silva JA, Tekell JL, Martin CC, Lancaster JL, Fox PT. Reciprocal limbic-cortical function & negative mood: Converging PET findings in depression & normal sadness. American Journal of Psychiatry. 1999;156:675–682. doi: 10.1176/ajp.156.5.675. [DOI] [PubMed] [Google Scholar]
- Mildner T, Zysset S, Trampel R, Driesel W, Möller HE. Towards quantification of blood-flow changes during cognitive task activation using perfusion-based fMRI. NeuroImage. 2005;27:919–926. doi: 10.1016/j.neuroimage.2005.04.040. [DOI] [PubMed] [Google Scholar]
- Moselhy HF, Georgiou G, Kahn A. Frontal lobe changes in alcoholism: A review of the literature. Alcohol and Alcoholism. 2001;36:357–368. doi: 10.1093/alcalc/36.5.357. [DOI] [PubMed] [Google Scholar]
- Rao SM, Salmeron BJ, Durgerian S, Janowiak M, Fischer M, Risinger RC, Conant LL, Stein EA. Effects of methylphenidate on functional MRI blood-oxygen-level-dependent contrast. American Journal of Psychiatry. 2000;157:1697–1699. doi: 10.1176/appi.ajp.157.10.1697. [DOI] [PubMed] [Google Scholar]
- Restom K, Behzadi Y, Liu TT. Physiological noise reduction for arterial spin labeling functional MRI. NeuroImage. 2006;31:1104–1115. doi: 10.1016/j.neuroimage.2006.01.026. [DOI] [PubMed] [Google Scholar]
- Sandson TA, O’Connor M, Sperling RA, Edelman RR, Warach S. Noninvasive perfusion MRI in Alzheimer’s disease: A preliminary report. Neurology. 1996;47:1339–1342. doi: 10.1212/wnl.47.5.1339. [DOI] [PubMed] [Google Scholar]
- Siewert B, Schlaug G, Edelman RR, Warach S. Comparison of EPISTAR and T2*-weighted gadolinium-enhanced perfusion imaging in patients with acute cerebral ischemia. Neurology. 1997;48:673–679. doi: 10.1212/wnl.48.3.673. [DOI] [PubMed] [Google Scholar]
- Stefanovic B, Warnking JM, Kobayashi E, Bagshaw AP, Hawco C, Dubeau F, Gotman J, Pike GB. Hemodynamic and metabolic responses to activation, deactivation and epileptic discharges. NeuroImage. 2005;28:205–215. doi: 10.1016/j.neuroimage.2005.05.038. [DOI] [PubMed] [Google Scholar]
- Strouse JJ, Cox CS, Melhem ER, Hanzhang L, Kraut MA, Razumovsky A, Yohay K, van Zijl PC, Casella JF. Inverse correlation between cerebral blood flow measured by continuous arterial spin-labeling (CASL) MRI and neurocognitive function in children with sickle cell anemia (SCA) Blood. 2006;108:379–381. doi: 10.1182/blood-2005-10-4029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tjandra T, Brooks JCW, Figueriredo P, Wise R, Matthews PM, Tracey I. Quantitative assessment of the reproducibility of functional activation measured with BOLD and MR perfusion imaging: Implications for clinical trial design. NeuroImage. 2005;27:393–401. doi: 10.1016/j.neuroimage.2005.04.021. [DOI] [PubMed] [Google Scholar]
- Tsuchiya K, Katase S, Hachiya J, Kimura T, Yodo K. Cerebral perfusion MRI with arterial spin labeling technique at 0.5 Tesla. Journal of Computer Assisted Tomography. 2000;24:124–127. doi: 10.1097/00004728-200001000-00023. [DOI] [PubMed] [Google Scholar]
- Wang J, Aguirre GK, Kimberg DY, Roc AC, Li L, Detre JA. Arterial spin labeling perfusion fMRI with very low task frequency. Magnetic Resonance in Medicine. 2003;49:796–802. doi: 10.1002/mrm.10437. [DOI] [PubMed] [Google Scholar]
- Wang J, Licht DJ. Pediatric perfusion MR imaging using arterial spin labeling. Neuroimaging Clinics of North America. 2006;16:149–167. doi: 10.1016/j.nic.2005.10.002. [DOI] [PubMed] [Google Scholar]
- Wang J, Rao H, Wetmore GS, Furlan PM, Korczykowski M, Dinges DF, Detre JA. Perfusion functional MRI reveals cerebral blood flow pattern under psychological stress. Proceedings of the National Academy of Sciences U S A. 2005;102:17804–17809. doi: 10.1073/pnas.0503082102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Warmuth C, Gunther M, Zimmer C. Quantification of blood flow in brain tumors: Comparison of arterial spin labeling and dynamic susceptibility-weighted contrast-enhanced MR imaging. Radiology. 2003;228:523–532. doi: 10.1148/radiol.2282020409. [DOI] [PubMed] [Google Scholar]
- Weber MA, Gunther M, Lichy MP, Delorme S, Bongers A, Thilmann C, Essig M, Zuna I, Schad LR, Debus J, Schlemmer HP. Comparison of arterial spin-labeling techniques and dynamic susceptibility-weighted contrast-enhanced MRI in perfusion imaging of normal brain tissue. Investigative Radiology. 2003;38:712–718. doi: 10.1097/01.rli.0000084890.57197.54. [DOI] [PubMed] [Google Scholar]
- Weber MA, Thilmann C, Lichy MP, Gunther M, Delorme S, Zuna I, Bongers A, Schad LR, Debus J, Kauczor HU, Essig M, Schlemmer HP. Assessment of irradiated brain metastases by means of arterial spin-labeling and dynamic susceptibility-weighted contrast-enhanced perfusion MRI: Initial results. Investigative Radiology. 2004;39:277–287. doi: 10.1097/01.rli.0000119195.50515.04. [DOI] [PubMed] [Google Scholar]
- Weber MA, Zoubaa S, Schlieter M, Juttler E, Huttner HB, Geletneky K, Ittrich C, Lichy MP, Kroll A, Debus J, Giesel FL, Hartmann M, Essig M. Diagnostic performance of spectroscopic and perfusion MRI for distinction of brain tumors. Neurology. 2006;66:1899–1906. doi: 10.1212/01.wnl.0000219767.49705.9c. [DOI] [PubMed] [Google Scholar]
- Weinand M, Carter L. Surface cortical cerebral blood flow monitoring and single photon emission computed tomography: Prognostic factors for selecting temporal lobectomy candidates. Seizure. 1994;3:55–59. doi: 10.1016/s1059-1311(05)80163-3. [DOI] [PubMed] [Google Scholar]
- Wintermark M, Sesay M, Barbier E, Borbely K, Dillon WP, Eastwood JD, Glenn TC, Grandin CB, Pedraza S, Soustiel JF, Nariai T, Zaharchuk G, Caille JM, Dousset V, Yonas H. Comparative overview of brain perfusion imaging techniques. Journal of Neuroradiology. 2005;32:294–314. doi: 10.1016/s0150-9861(05)83159-1. [DOI] [PubMed] [Google Scholar]
- Wolf RL, Alsop DC, Levy-Reis I, Meyer PT, Maldjian JA, Gonzalez-Atavales J, French JA, Alavi A, Detre JA. Detection of mesial temporal lobe hypoperfusion in patients with temporal lobe epilepsy by use of arterial spin labeled perfusion MR imaging. American Journal of Neuroradiology. 2001;22:1134–1341. [PMC free article] [PubMed] [Google Scholar]
- Wolf RL, Wang J, Wang S, Melhem ER, O’Rourke DM, Judy KD, Detre JA. Grading of CNS neoplasms using continuous arterial spin labeled perfusion MR imaging at 3 Tesla. Journal of Magnetic Resonance Imaging. 2005;22:475–482. doi: 10.1002/jmri.20415. [DOI] [PubMed] [Google Scholar]
- Wong EC, Buxton RB, Frank LR. Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II) Magnetic Resonance in Medicine. 1998;39:702–708. doi: 10.1002/mrm.1910390506. [DOI] [PubMed] [Google Scholar]
- Wong EC, Cronin M, Wu WC, Inglis B, Frank LR, Liu TT. Velocity-selective arterial spin labeling. Magnetic Resonance in Medicine. 2006;55:1334–1341. doi: 10.1002/mrm.20906. [DOI] [PubMed] [Google Scholar]
- Wu J, Buchsbaum MS, Gillin JC, Tang C, Cadwell S, Wiegand M, Najafi A, Klein E, Hazen K, Bunney WE, Jr, Fallon JH, Keator D. Prediction of antidepressant effects of sleep deprivation by metabolic rates in the ventral anterior cingulate & medial prefrontal cortex. American Journal of Psychiatry. 1999;156:1149–1158. doi: 10.1176/ajp.156.8.1149. [DOI] [PubMed] [Google Scholar]
- Yamauchi H, Fukuyama H, Nagahama Y, Nabatame H, Nakamura K, Yamamoto Y, Yonekura Y, Konishi J, Kimura J. Evidence of misery perfusion and risk for recurrent stroke in major cerebral arterial occlusive diseases from PET. Journal of Neurology Neurosurgery and Psychiatry. 1996;61:18–25. doi: 10.1136/jnnp.61.1.18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ye FQ, Smith AM, Mattay VS, Ruttimann UE, Frank JA, Weinberger DR, McLaughlin AC. Quantitation of regional cerebral blood flow increases in prefrontal cortex during a working memory task: A steady-state arterial spin-tagging study. NeuroImage. 1998;8:44–49. doi: 10.1006/nimg.1998.0342. [DOI] [PubMed] [Google Scholar]
- Yee S-H, Liu H-L, Hou J, Pu Y, Fox PT, Gao J-H. Detection of the brain response during a cognitive task using perfusion-based event-related functional fMRI. Neuro Report. 2000;11:2533–2536. doi: 10.1097/00001756-200008030-00037. [DOI] [PubMed] [Google Scholar]
- Yongbi MN, Fera F, Yang Y, Frank JA, Duyn JH. Pulsed arterial spin labeling: Comparison of multisection baseline and functional MR imaging perfusion signal at 1.5 and 3.0 T: Initial results in six subjects. Radiology. 2002;222:569–575. doi: 10.1148/radiol.2222001697. [DOI] [PubMed] [Google Scholar]
