Abstract
Minimally invasive resection of brain tumours aims at removing as much pathological tissue as possible while preserving essential brain functions. Therefore, the precise spatial relationship between the lesion and adjacent functionally essential brain parenchyma needs to be known. Functional magnetic resonance imaging (fMRI) is increasingly being used for this purpose because of its non-invasiveness, its relatively high spatial resolution and the preoperative availability of the results. In this review, the goals of fMRI at various key points during the management of patients with a brain tumour are discussed. Further, several practical aspects associated with fMRI for motor and language functioning are summarised, and the validation of the fMRI results with standard invasive mapping techniques is addressed. Next, several important pitfalls and limitations that warrant careful interpretations of the fMRI results are highlighted. Finally, two important future perspectives of presurgical fMRI are emphasised.
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Introduction
Minimally invasive resection of brain tumours aims to remove as much of the affected tissue as possible, while preserving essential brain functions. Therefore, the precise spatial relationship between the lesion and adjacent, functionally essential brain parenchyma needs to be known. Identification of eloquent cortex often cannot be obtained from anatomical landmarks alone; mass effect can distort the normal topography, or disease processes can induce relocation of functions due to brain shift or plasticity.
Functionally essential cortex has traditionally been localised by invasive mapping techniques (IMT), i.e. cortical stimulation mapping (CSM) or the recording of sensory-evoked potentials [1]. Determination of language dominance can be attempted with the intra-arterial administration of barbiturates [2] or the dichotic listening test [3]. Each of these has its limitations. Although these ‘gold standard’ methods have proven valid, they are, except for the dichotic listening test, highly invasive, carry significant morbidity and are often highly demanding for the patients. All have limited use in children or cognitively impaired subjects. With IMT and CSM, only limited cortical areas can be tested, as the grey matter along the depth of the sulci is poorly accessible to stimulation. As the preoperatively available information thus remains incomplete, IMT has limited contribution for choosing the optimal, function-preserving treatment modality and for planning the surgical procedure itself.
The advent of non-invasive mapping of brain areas with functional MRI (fMRI) [4] helps to overcome these issues. fMRI is a widely available and fast-evolving imaging technique that has been increasingly used in a presurgical setting since its introduction in the early 1990s [5, 6]. fMRI is mainly used to localise the primary sensory and motor cortex, determine essential language areas and their hemispherical dominance.
Structural and functional information can be acquired in the same imaging session. This structural–functional co-registration allows assessment of the risk of causing a potential post-surgical neurological deficit. Unlike IMT, fMRI provides information before a commitment to perform surgery has been made, in turn allowing the opportunity to better plan the surgical approach or biopsy trajectory and to improve the patient information.
fMRI has been extensively validated against current gold-standard techniques [6, 7]. A large number of studies also reported an excellent concordance between fMRI and the Wada test for the lateralisation of language [8, 9].
Although fMRI has proven useful at several key-points during the management of patients with brain tumours, including the assessment of the potential surgical risk of causing a neurological deficit, selecting patients who require IMT and planning the surgical procedure [11, 14], several technical issues are only partially resolved. These include the effects of tumour-induced phenomena on the measurable BOLD signal [10–13], signals from larger draining veins, the lack of standardisation in fMRI paradigms and statistical analysis, variations in MR sequences and field strengths and the effects of brain shift during surgery. Because fMRI measures phenomena related to neural activation indirectly, the validity of the assumption that the BOLD-related signals are indeed indicating the brain area responsible for the studied function will always have to be interpreted with caution. Experience, knowledge and common sense are essential skills for all involved with this technique in presurgical evaluation. Also, fMRI only shows the cortical involvement of the functional brain. White-matter connections are as essential as the cortex, and combining diffusion tensor imaging (DTI) with fMRI will allow a more complete risk estimate before neurosurgery.
In summary, the cautious use of fMRI for the presurgical assessment of brain function is justified, but the knowledge of local brain function is imperative for risk and outcome evaluation. There is now enough direct and circumstantial evidence that major functions can be localised and regional plasticity due to focal brain lesions can be studied with fMRI. The non-visualisation of an expected function or the unexpected displacement of functional regions should ring the alarm-bell though and be interpreted with great caution. In these cases, IMT is still indicated.
Goals of presurgical fMRI
In an early study, Lee et al. [14] retrospectively evaluated how often and in what ways the results of preoperative sensorimotor fMRI exams had influenced the treatment of 46 neuro-oncology or epilepsy surgery patients. The fMRI results could be used for patient management at three key stages: (1) assessment of the risk associated with, and thus the feasibility of the surgical resection, (2) selection of patients for IMT and (3) guidance of the surgical planning. In tumour patients, fMRI results helped to assess the feasibility in 55%, influenced the planning in 22% and helped to select patients for invasive mapping procedures in 78%. Recently, Petrella et al. prospectively evaluated the effect of preoperative fMRI localisation of language and motor areas on therapeutic decision-making in 39 patients with resectable brain tumours [11]. The fMRI results altered the therapeutic plan in 49% and enabled a more aggressive approach in 45%. Of the 30 patients who underwent surgery, fMRI helped to shorten the surgical time in 60%, increased the extent of surgical resection in 16% and decreased the craniotomy size in 15%.
Risk assessment
Many papers have shown that the risk of causing a neurological deficit depends on the distance between the tumour margin and the eloquent area [50]. No deficit was induced when this distance exceeded 2 cm, a motor deficit occurred in 33% of the patients with a distance between 1 and 2 cm, and this increased to 50% when the distance was less then 1 cm. More recently, Haberg et al. [15] showed that the risk of post-operative loss of function was significantly reduced when the distance between tumour boundary and functional cortex was 10 mm or more. Krishnan et al. [16] reported that a lesion-to-activation distance of less than 5 mm was associated with a significantly higher risk of neurological deterioration when using fMRI-integrated neuronavigation in patients with lesions around the motor strip. They suggested that within a 10-mm range, IMT should be performed and that a complete resection can be achieved safely for a lesion-to-activation distance of more than 10 mm.
However, one should be aware of the exact measurement of the distance being highly dependent on various factors, such as the statistical threshold used for the evaluation of fMRI results and the effect of brain shift during craniotomy. The spatial extent of the fMRI activations increases when the statistical threshold is decreased and vice versa. However, fMRI can precisely localise the centre of the functional areas within the relevant gyrus during surgery [17].
Selecting patients for IMT
As mentioned above, IMT is still needed to validate the fMRI results intraoperatively when an eloquent area is located immediately adjacent to a brain lesion. Even then, fMRI is a valuable adjunct to IMT because it speeds up the IMT procedure itself and limits the extent of the craniotomy. A major limitation that precludes current replacement of CSM by fMRI is the inability of fMRI to distinguish ‘essential’ or ‘critical’ from ‘non-essential’ or ‘expandable’ functional areas. fMRI tasks induce activation in many cortical and subcortical structures, but not all of these are necessary for the execution of the behaviour in question [18]. For instance, damage to the SMA and the PMC can cause a transient motor deficit but will not usually result in a permanent deficit [19–21].
Guidance of the surgical procedure
If a decision for surgical removal of a lesion is made, fMRI maps can assist in the appropriate choice of the surgical approach, site and extent of the trepanation, and the extent of surgical excision in order to maximise the functional integrity.
During surgery itself, the fMRI findings facilitate orientation at the site of operation. Furthermore, the preoperative fMRI data can be co-registered into a frameless neuronavigation system and interactively employed during the neurosurgical procedure [16].
However, this functional neuronavigation can be seriously hampered by the occurrence of brain shift after the craniotomy flap and opening of the dura. Several groups have recently proposed solutions to correct for this brain shift, thus allowing more accurate intraoperative information [22–24].
Practical aspects of presurgical fMRI and validation
Principles of BOLD-fMRI
fMRI measures neuronal activity indirectly by measuring metabolic and/or vascular changes associated with neural activity changes (Fig. 1). The most commonly used method is based on the blood oxygenation level-dependent contrast [25–27]. This technique takes advantage of the inherent magnetic properties of deoxyhaemoglobin (deoxyHb): the iron in deoxyHb is paramagnetic and perturbs the main magnetic field, resulting in a local reduction in main field homogeneity. This is usually measured by means of T2*-weighted sequences, most often by means of echoplanar imaging (EPI). In resting brain, there is a close correlation among regional cerebral blood flow [28, 29], regional cerebral blood volume and the regional metabolic rate of oxygen. Activation of a neuronal cell population results in an increase in these three parameters. Secondary to the activation of a neuronal cell population, rCBF may increase as much as 50%, which far exceeds the oxygen metabolism demands. This mismatch results in an overall increase in oxyhaemoglobin and a relative decrease in deoxyHb concentration in the capillary and venous beds of the activated cortex. The net decrease in deoxyHb concentration then induces a decrease of local susceptibility, and the MR signal, measured with a T2*w pulse sequence, will thus increase in the activated cortex.
Presurgical motor mapping
The brain activation network involved in voluntary movement includes the premotor area (PMA), the superior parietal lobe (SPL), the supplementary motor area (SMA), the primary somatosensory cortex (S1) and the primary motor cortex (M1) [30, 31]. M1 and S1 are located immediately anterior and posterior to the central sulcus respectively. In fMRI, they often co-activate as one big ‘blob’, which is referred to as the primary sensorimotor cortex (SM1) (see Fig. 2 for risk assessment in a patient with a Rolandic tumour). M1 and S1 are organised according to a somatotopic order [32], which is easily reproduced with fMRI using a block design. Alternating rest and movement of mouth muscles (lip pouting) results in lateral Rolandic activation. Finger tapping, finger–thumb opposition or fist clenching movements will activate the Rolandic region higher up, at the so-called hand area, and extension–flexion of the toes will result in medial Rolandic activation. These uni- or bilateral movements can be performed at a self-paced rate or guided by a visual or auditory cue (e.g. one per second). Self-triggered movements are more suitable for presurgical fMRI, as they can be performed according to the patient’s proper capability [33]. The experimental set-up is in favour of block designs over event-related designs because the sensitivity for detection of activation is much higher for block designs. At 1.5T, not more than four cycles of 16-s blocks of movement and rest will result in very robust activation in normal subjects. For patients, it is wise to extend the block time to about 30 s to compensate for lesser compliance and sometimes compromised movement (in house experience).
While in normal subjects the resulting activation can be attributed unequivocally to the SM1 area, in patients with distorted anatomic landmarks, undesirable co-activation of secondary motor areas, such as the SMA, PMA and SPL, can sometimes interfere with a reliable identification of the primary motor cortex. Papke et al. have suggested a particular experimental design or paradigm set-up by contrasting voluntary movements of the affected side with the normal side. This accentuates activation of the primary motor area and suppresses undesirable co-activations [34].
Voluntary motor paradigms sometimes have to be adjusted to the patient’s particular situation. For instance in patients with hand paresis, finger tapping can be replaced by simpler hand clenching. In the case of total motor paralysis with intact sensation, the affected limb can be sensory stimulated and the location of the primary motor cortex can be derived from the location of the primary sensory cortex. Brushing, stroking or rubbing the body part under investigation can be used to map the S1 cortex. Plantar vibrotactile stimulation and electrical stimulation of the median and tibial nerves with dedicated devices have also been used to activate the sensorimotor network [35, 36]. In paralysed patients, even imaginary movement has been shown to produce activation in the primary motor cortex [37].
In terms of validation, several studies reported a good correlation between fMRI and IMT [6, 38–40]. Majos et al. [47] compared preoperative fMRI with ECS in 33 patients with Rolandic brain lesions (Fig. 3). They found 83% agreement for the motor cortex and 83% agreement for the somatosensory cortex between the two techniques. The agreement increased to 98% when both types of activation were taken into account. Recently, Roessler et al. compared preoperative fMRI at 3T with ECS in patients with gliomas in the motor cortex [42] and reported a 100% agreement between fMRI and ECS motor foci within 10 mm.
Presurgical language mapping
The language function can be subdivided into several components, including orthography, phonology, syntax and lexical semantics [44, 57], and relies on a frontal expressive language area (Broca’s area), two posterior receptive language areas (Wernicke’s and Geschwindt’s areas), the dorsolateral prefrontal cortex, the SMA and the interconnecting white matter tracts of which the arcuate fasciculus is the most important. Broca’s area is located in the pars triangularis and opercularis of the inferior frontal gyrus. The Wernicke’s and Geschwindt’s areas are less circumscribed and involve a series of regions in the posterior temporal lobes, including parts of the posterior superior and middle temporal lobe, the angular gyrus, and the supramarginal gyrus.
Language organisation is lateralised. Approximately 95% of right-handed and 70% of left-handed healthy volunteers are left-hemispheric language dominant [45].
Lesions in Broca’s area, Wernicke’s area or the communicating pathway within the dominant hemisphere can cause severe aphasia. Damage to other language regions may result in transient difficulties, but rarely produces marked aphasia (Fig. 4). It is advisable to use several different types of language paradigms within the same imaging session, so that different linguistic subcomponents can be mapped and to provide for some redundancy in the acquisition of the language network. Therefore, in a preoperative setting, language mapping generally involves paradigms assessing language comprehension or reception on the one side and language production on the other. Language expression or production tasks include verb generation tasks, verbal fluency tasks and picture-naming tasks [46, 48, 49]. These tasks routinely give rise to activation in Broca’s area, but secondarily require language comprehension and often co-activate Wernicke’s area. Language comprehension or reception can be mapped by means of semantic or grammatical judgment tasks [48], which activate Wernicke’s and Geschwindt’s areas and to lesser extent also Broca’s area. In the case of language impairment (aphasia), in cognitively impaired patients or in children, passive listening tasks can be used as a—far less appropriate—alternative.
For the assessment of language dominance, several studies report a greater than 90% agreement between fMRI and the invasive Wada test [9, 45]. A few case reports urge caution however because of lesion-induced neuro-vascular uncoupling (see below). Word generation tasks (with frontal region-of-interest analysis) generally yield the best results [51]. Good within-test and test–retest intra-subject reproducibility for language lateralisation with fMRI was reported in patients with epilepsy [52]. There is by now enough evidence that language fMRI is a reliable, non-invasive substitute for the Wada test for the assessment of language lateralisation.
In terms of validation of fMRI language mapping by means of ECS, the situation is more problematic than for motor mapping because of a naturally high degree of functional heterogeneity in Broca’s and Wernicke’s areas [53–55], which is aggravated in patients with brain tumours because of associated language impairment, deformation or plasticity. We would like preoperative fMRI to have a high predictive power in showing the essential language areas. In that respect, a number of studies compared fMRI with IOM and reported different results. This difference in results depends in part on the type and number of tasks used and the applied statistical threshold. Most studies that validate fMRI against ECS for the localisation of the tentative Broca’s and Wernicke’s areas reported a high sensitivity and specificity, both usually significantly lower for the identification of Wernicke’s area. Hirsch demonstrated that sensitivity can be increased by the use of multiple tasks [41]. Others similarly found that specificity increased when multiple tasks were used in combination without sacrificing sensitivity in true positive areas [5, 57]. On the other hand, Roux et al. confusingly reported relatively low sensitivity but high specificity, particularly when the tasks were combined [49].
Pitfalls and limitations of presurgical fMRI
fMRI relies on many assumptions and the validity of these have to be checked for each exam: normal vascular reactivity, compliance of the patient (e.g. attention, performance, capacity), stability of the MRI hardware, etc. When all of these conditions are fulfilled, the fMRI results have to be weighted against the expected activation pattern for the paradigm under study. When unexpected findings are present, IMT may still be mandatory. The technical issues described below have to be assessed.
Accuracy of fMRI localisation
BOLD-fMRI is sensitive not only to signal changes in the capillaries and small post-capillary venules in the immediate vicinity of the neuronal electrical activity, but is also sensitive to the signal arising from larger draining veins located at a distance downstream from the actual site of electrical activity.
Several authors [58] suggested the use of spin-echo sequences that greatly reduce the disturbing signal contributions from the macrovasculature, resulting in a superior spatial localisation. However, as SE sequences are less sensitive to magnetic susceptibility effects, the BOLD contrast is significantly lower, resulting in longer acquisition times or penalty in brain coverage.
The small parenchymal venules are estimated to be maximally 1.5 mm apart from the site of neuronal activation, whereas the spatial uncertainty originating from the larger draining veins was estimated to be no larger than 5 mm. This suggests that although the accuracy of fMRI is sufficient for pre-surgical fMRI, invasive mapping is still mandatory.
Influence of tumours on BOLD effect
BOLD fMRI is critically dependent on an intact functioning of the neurovascular coupling. However, the BOLD response in the cortex surrounding certain brain tumours, especially infiltrative gliomas, does not reflect the electrical neuronal activity as accurately as it does in healthy brain tissue [10, 12, 13]. A disturbed BOLD effect has been reported both in the immediate vicinity of a tumour and in distant “normal” vascular territories. A number of physiological and/or metabolic factors have been invoked, of which abnormal vessel proliferation in the immediate vicinity of high-grade gliomas seems important [59]. This tumour neovasculature does not respond adequately to an increase in neuronal activity because there is loss of autoregulation and vasoactivity, resulting in false-negative results.
Several case reports illustrated that the absence of activation caused by tumour-induced uncoupling (Fig. 5) could wrongfully be interpreted as brain plasticity or atypical hemispheric language dominancy [10, 12, 60].
Head motion artefacts
Head movements, both gradual and abrupt, can induce significant MR signal changes that may wrongfully be interpreted as true activation. Hajnal et al. showed that these movement artefacts are difficult to distinguish from ‘real’ [61, 62]. Krings et al. found significantly more head motion artefacts in paretic patients, which seemed to be induced by co-innervation of shoulder movements for tasks involving the upper limbs and muscles from the trunk in tasks involving the lower limbs [63].
Susceptibility artefacts
Susceptibility artefacts can be problematic in fMRI acquired with EPI sequences. They are often found at air–tissue interfaces, such as in the medial and basal parts of the temporal lobes and at the orbitofrontal cortex, causing drop-outs in signal intensity and geometric distortions [61, 64]. Vascular lesions, tumour, haemorrhages or prior neurosurgery (presence of titanium plates, surgical clips, haemorrhagic products, residual metal dust from a skull drill) can increase susceptibility artefacts, making it difficult or even impossible to obtain sufficient signal from the surrounding cortex [65]. In the extreme case this may lead the neurosurgeon to resect functionally important cortex. The habit of overlaying the statistical fMRI images onto high-resolution T1-weighted images can be misleading because the susceptibility artefacts are then no longer visible. Therefore, it is advisable to assess the presence of artefacts on the raw T2*-weighted images and to keep in mind that a negative fMRI does not preclude electrical activation.
Future perspectives
Influence of higher field strengths in preoperative fMRI
The use of higher field strengths results in improved sensitivity primarily related to BOLD changes in capillary beds, as changes in the relaxation rate R2* for a given vascular deoxyhaemoglobin concentration scale linearly with the static magnetic field (B0) for water protons within or near large vessels (‘vein’) and quadratically with field strength (B2 O) for water protons near capillaries (‘tissue’) [66–68]. Hence, several studies have demonstrated an increased detection of activation at higher field strengths during voluntary movement, visual processing and language processing [68–71] (Fig. 6).
The increased BOLD effect at 3T has several potential benefits in clinical fMRI: it allows reduced imaging time for a given (higher) resolution (and hence better patient compliance, indicated for ill or less cooperative subjects), and reduction of the false negative rate or a combination of both. The advantage of 3T may not hold for cortex affected by susceptibility artefacts, which increase with field strength, so that signal losses in regions of the brain near air–tissue interfaces worsen. This hampers BOLD signal detection in areas such as medial temporal and inferior orbitofrontal regions [67]. To further maximise the beneficial effects of higher fields, future technological improvements are required to cope with these problems. For this purpose, the benefit of more advanced sequences has recently been suggested, such as spin-echo sequences [72], parallel imaging [73, 74], usage of B0 field maps, and advanced spiral imaging [75].
Diffusion tensor imaging (DTI)
fMRI provides no or only limited information about the relation of the tumour to white-matter fibre tracts. Interruption of these fibre tracts can lead to major disruptions in neurological function, e.g. conduction aphasia. Evaluation of the relationship of the lesion to these white-matter tracts is sometimes mandatory and can be achieved with other imaging techniques, mainly DTI (Fig. 7).
Conclusions
Most of the studies reviewed here conclude that fMRI has great potential to assist with function-preserving treatment in patients with brain tumours and to substantially reduce the number of invasive measures needed during surgery. A sufficient spatial correlation between fMRI and other mapping techniques seems to exist, especially for the motor areas. However, one should always be aware of the methodological shortcomings of fMRI in a clinical setting, such as tumour-induced neuro-vascular uncoupling, susceptibility artefacts and head motion artefacts. Ultimately, the success of presurgical fMRI will depend on its capability to reduce complication rates, improve clinical outcome and quality of life, as well as survival time, facts that still warrant further study.
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Tieleman, A., Deblaere, K., Van Roost, D. et al. Preoperative fMRI in tumour surgery. Eur Radiol 19, 2523–2534 (2009). https://doi.org/10.1007/s00330-009-1429-z
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DOI: https://doi.org/10.1007/s00330-009-1429-z