Abstract
Object
Cingulotomy and limbic leucotomy are lesioning surgeries with demonstrated benefit for medically intractable psychiatric illnesses. They represent significant refinements of the prefrontal lobotomy used from the 1930s through the 1950s. However, the associations between anatomical characterization of these lesions and outcome data are not well understood. To elucidate these procedures and associations, the authors sought to define and compare the neuroanatomy of cingulotomy and limbic leucotomy and to test a method that uses neuroanatomical data and voxel-based lesion–symptom mapping (VLSM) to reveal potential refinements to modern psychiatric neurosurgical procedures.
Methods
T1-weighted MR images of patients who had undergone cingulotomy and limbic leucotomy were segmented and registered onto the Montreal Neurological Institute T1-weighted template brain MNI152. Using an atlas-based approach, the authors calculated, by case, the percentage of each anatomical structure affected by the lesion. Because of the infrequency of modern lesion procedures and the requirement for higher-resolution clinical imaging, the sample size was small.
The pilot study correlated cingulotomy and limbic leucotomy lesion characteristics with clinical outcomes for patients with obsessive-compulsive disorder. For this study, preoperative and postoperative Yale-Brown Obsessive Compulsive Scale scores for 11 cingulotomy patients and 8 limbic leucotomy patients were obtained, and lesion masks were defined and compared anatomically by using an atlas-based method. Statistically significant voxels were additionally calculated by using VLSM techniques that correlated lesion characteristics with postoperative scores.
Results
Mean lesion volumes were 13.3 ml for cingulotomy and 11.8 ml for limbic leucotomy. As expected, cingulotomy was isolated to the anterior cingulum. The subcaudate tractotomy portion of limbic leucotomy additionally affected Brodmann area 25, the medial orbitofrontal cortex, and the nucleus accumbens.
Initial results indicated that the dorsolateral regions of the cingulotomy lesion and the posteroventral regions of the subcaudate tractotomy lesion were associated with improved postoperative Yale-Brown Obsessive Compulsive Scale scores.
Conclusions
Cingulotomy and limbic leucotomy are lesioning surgeries that target pathological circuits implicated in psychiatric disease. Lesion analysis and VLSM contextualize outcome data and have the potential to be useful for improving lesioning neurosurgical procedures.
Keywords: cingulotomy, subcaudate tractotomy, limbic leucotomy, psychosurgery, lobotomy, lesion analysis, functional neurosurgery
The field of psychiatric neurosurgery was spurred in 1935 by the work of neurologist Egas Moniz and neurosurgeon Almeida Lima in prefrontal lobotomy, which sought to sever connections in the frontal lobes that were thought to cause psychiatric symptoms.32,53,57,73 In 1947, Spiegel developed the stereotactic frame, which enabled the creation of lesions at specific targets for psychosurgery,81 providing the original basis for the modern cingulotomy, subcaudate tractotomy, and limbic leucotomy. With these advances in surgical technology and the development of medical therapies for psychiatric illness, lobotomy largely disappeared around the 1950s.53,73,88
For patients with obsessive-compulsive disorder (OCD) that is refractory to optimal medical management, lesioning procedures offer reduction or complete relief of symptoms.15,24,26,35,53,58 Cingulotomy involves stereotactically creating lesions in the anterior cingulate gyrus to interrupt the cingulum bundle.6,7,20,31,47,49 In the context of OCD, outcomes for patients who have undergone cingulotomy have been positive; rates of adverse effects have been low, and symptoms have improved for 30%–50% of patients.24,26,37 With slightly higher symptom improvement rates (approximately 65%15,35) among OCD patients, subcaudate tractotomy creates lesions in the white matter below the head of the caudate nucleus, targeting corticostriatothalamic pathways.26,42,53 The combination of these 2 stereotactic surgeries is the limbic leucotomy,39,53 and the limited outcome data available show improvement for approximately 36%58–62%34 of OCD patients. Studies examining a 2-stage limbic leucotomy at our institution (Massachusetts General Hospital), in which subcaudate tractotomy is performed if symptoms remain refractory to treatment after anterior cingulotomy, have shown that symptoms improve for 73% of OCD patients.13
Based on advances in MRI, modern lesion analysis offers a method for understanding how lesion morphometry, volume, and location are associated with changes in function, indicated by changes in behavior. Although these lesion analysis studies have been chiefly conducted in the area of stroke,16,17,51 similar methods have been applied to psychiatric neurosurgery.71,72 Recent advances in lesion analysis have moved the field toward a voxel-based approach. Voxel-based lesion–symptom mapping (VLSM) correlates coregistered lesion characteristics with behavioral output.8 This modality is advantageous because it examines continuous behavioral variables and entire lesion masks instead of substitutes like center-of-mass coordinates. Statistics are subsequently calculated on the basis of behavioral scores for each voxel. As a result, patients do not need to be initially classified by either lesion location or behavioral scores.8 This method has been primarily applied to patients with stroke or traumatic brain injury to better understand the anatomical areas that are crucial for gesture recognition,38 reversal learning,87 language,5,30 gait asymmetry,4 and facial emotion recognition.21
Although modern psychiatric neurosurgical procedures have been shown to be effective, it is not clear why only certain patients respond. As a result, we used MR-based imaging tools for lesion analysis to define the neuroanatomy of anterior cingulotomy and limbic leucotomy. In addition, we used resulting lesion morphometry and volumetry to compare lesions to find differences among the procedures. Finally, we performed a pilot study in which we applied these tools with VLSM to demonstrate how these approaches can be used to refine psychiatric neurosurgical procedures.
Methods
Patient Characteristics
The Massachusetts General Hospital Institutional Review Board approved this retrospective study. Patients who had undergone dorsal anterior cingulotomy and limbic leucotomy, with clinical T1-weighted MRI (slice thickness ≤ 3.4 mm), were identified from a Massachusetts General Hospital database of patients maintained since 1992. Procedures were performed by 2 neurosurgeons who used the same technique, as verified by operative reports. It should be noted that anterior cingulotomy and limbic leucotomy procedures are uncommon, but the case volume at Massachusetts General Hospital is one of the largest world-wide. Although studies that examine only the outcomes of modern psychosurgical lesioning procedures have larger sample sizes than the study presented here, lesion analysis of these procedures is uncommon; studies have incorporated follow-up data for 8 patients82 and 15 patients.74
Dorsal Anterior Cingulotomy
We identified 18 patients (10 male, 8 female) who had undergone dorsal anterior cingulotomy during 1999–2011. Mean age (± standard error) at the time of surgery was 36.9 ± 2.9 years. The most common indication for cingulotomy (13 patients) was OCD.
Cingulotomy surgery involved stereotactic placement of 6 total lesions (3 per side) in the anterior cingulate gyrus (Fig. 1). Lesions were made by thermocoagulation with an electrode with a 10-mm exposed tip (Cosman Medical). Coordinates were tailored for each patient and guided by neurophysiological recordings to verify placement in the cingulate gyrus; patients were continuously monitored for adverse effects during surgery. In general, lesions were placed 20 mm posterior to the anterior extent of the frontal horn of the lateral ventricles, 5–7 mm off the midline, and 5 mm above the corpus callosum. Subsequent lesions were placed 6–7 mm anteriorly and 1–2.5 mm inferiorly.
Limbic Leucotomy
We identified 11 patients (5 male, 6 female) who had undergone limbic leucotomy from 2001 to 2008. Mean age (± standard error) at the time of surgery was 39.3 ± 3.6 years. The most common indication for limbic leucotomy (8 patients) was OCD.
Lesions were again made by heating an electrode with a 10-mm exposed tip. Limbic leucotomy was completed with the addition of a subcaudate tractotomy lesion after anterior cingulotomy. Subcaudate tractotomy involved 4 total lesions (2 per side) (Fig. 1). Coordinates were again tailored for each patient and guided by neurophysiological recordings to verify placement, and patients were continuously monitored for adverse effects during surgery. In general, the medial lesions were placed 7 mm lateral to the midline, 5–7 mm off the floor, and 7 mm anterior to the sylvian fissure. The lateral lesion was made 7–8 mm lateral to the first.
Follow-Up Data
Retrospective follow-up data were obtained for 15 patients whose indication for anterior cingulotomy and/or limbic leucotomy was OCD that was refractory to medical management. These patients met criteria for OCD as outlined in the Diagnostic and Statistical Manual of Mental Disorders editions III, III-R, or IV, and the OCD was nonresponsive to conventional treatment, defined as at least 3 selective serotonin reuptake inhibitors, 2 augmentation agents, and behavioral therapy. Preoperative and postoperative Yale-Brown Obsessive Compulsive Scale (Y-BOCS) scores were obtained, and long-term follow-up information was obtained by review of electronic medical records and phone interviews. For 11 patients (8 male, 3 female), anterior cingulotomy lesions were correlated with outcome; mean age (± standard error) at time of surgery was 33.0 ± 2.7 years. For 8 patients (5 male, 3 female), limbic leucotomy lesions were also correlated with outcome; mean age (± standard error) at the time of surgery was 34.7 ± 2.5 years.
Acquisition of MR Images
Magnetic resonance images were obtained as part of standard clinical care. Anterior cingulotomy and limbic leucotomy images were obtained within 5 postoperative days. T1-weighted images were used for lesion segmentation and analysis. Representative parameters on a GE 1.5 T Signa (GE Healthcare) scanner were as follows: TR/TE = 8.3/3.4 msec, flip angle 30°, matrix 256 × 192, pixel bandwidth 122.1 Hz, and display FOV 220 mm. Because lesions created during cingulotomy and limbic leucotomy are small, inclusion criteria included maximum slice thickness of 3.4 mm and maximum spacing of 1.7 mm.
Morphometric Lesion Analysis
Images were analyzed at the Massachusetts General Hospital Center for Morphometric Analysis at the Athinoula A. Martinos Center for Biomedical Imaging. T1-weighted images were segmented in Freeview, part of the FreeSurfer imaging software package developed by the Athinoula A. Martinos Center. The resulting output was a mask of the lesion (Fig. 2).
Because clinical MR images were not consistently of the complete brain, because they were of lower resolution (compared with images used specifically for research), and because of the presence of lesions that could cause automated registration to fail,41 we implemented a linear, manual, landmark-based registration that used 12 degrees of freedom. The landmarks were the anterior commissure, the posterior commissure, and the interhemispheric plane.27,86 This method involves alignment of the centroids of 2 landmarks, followed by rotation and scaling of the image to minimize displacements. Imaging data from each patient were registered onto the Montreal Neurological Institute (MNI) brain MNI152, which is the average of 152 T1-weighted MR images in MNI space. Figure 3 displays the distribution of postregistration lesions for cingulotomy and limbic leucotomy patients, presented as a heat map. Segmentation and registration were performed by 1 author (J.C.Y.) and subsequently corroborated by a neuroanatomist (N.M.); both were blinded as to postoperative outcomes. Intrarater reliability was determined by re-segmenting the lesions in a random selection of patients and calculating the percentage of overlapping voxels. This method consequently serves as a metric for volumetric and spatial reliability. In addition, intrarater reliability was further quantified by calculation of the Cronbach alpha in SPSS.
Anatomical overlap data were calculated by using 2 built-in atlases in the FMRIB Software Library (The Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, UK): the Jülich histological atlas and the Johns Hopkins University white-matter tractography atlas; the third atlas used was the Center for Morphometric Analysis structural atlas18,52,56,67,69 (Fig. 4). The Jülich histological atlas is based on microscopic and histological examination of 10 postmortem brains, and the Johns Hopkins University white-matter tractography atlas uses the probabilistic average of deterministic tractography results on 28 healthy participants. Probability level was set at a threshold of 0.05, indicating the white matter tracts of 95% of participants. The result of this analysis was the number of voxels that overlapped between the anatomical region of interest (ROI) and the lesion.
The degree to which an atlas-based ROI was affected by the lesion was calculated as a percentage overlap, defined as the number of voxels in the lesion found to overlap with the ROI, divided by the total number of voxels for that ROI. Lesion volumes were calculated by multiplying the number of voxels in each coronal image by the volume per voxel. Given the small sample size and nonnormal distribution, we performed a 2-tailed Wilcoxon rank-sum test to determine statistical significance. Error is reported as standard error.
Voxel-based lesion–symptom mapping was done by using MRIcron and nonparametric mapping software75 (McCausland Center for Brain Imaging, University of South Carolina). Statistics were calculated with a false-detection rate of 5% with the nonparametric Brunner-Munzel test because of nonparametric outcome scores. Given the small sample size but generally extensive overlap among lesions, voxels with ≥ 2 patients were included in the analysis.
Lesions and ROIs were visualized by using Freeview, FSLView (part of the FMRIB Software Library), and MRIcron.
Results
Lesion Volume
Lesion volume was calculated from lesion segmentation (Fig. 5). Mean (± standard error) cingulotomy lesion volume was 13.3 ± 0.7 ml, which was similar to the mean limbic leucotomy volume of 11.8 ± 0.9 ml. Intrarater reliability calculations were based on percentage of overlapping voxels in a random selection of patients who underwent lesion segmentation twice; reliability was 91%. With respect to lesion volume, the Cronbach alpha was high (0.98).
Lesion Anatomical Overlap
A total of 683 ROIs were investigated by using this atlas-based approach (Table 1, Figs. 6 and 7).
TABLE 1.
Structure | Atlas | Mean ACT | Mean LL |
---|---|---|---|
lt uncinate fasciculus | JHU | + | |
rt uncinate fasiculus | JHU | + | |
rt cingulum | JHU | + + | + |
lt cingulum | JHU | + + | |
rt anteromedial cingulate gyrus, BA24 | CMA | + + + | + + |
lt anteromedial cingulate gyrus, BA24 | CMA | + + + | + + |
rt paracingulate cortex, BA32 | CMA | + + | |
lt paracingulate cortex, BA32 | CMA | + + | + |
rt paraterminal gyrus, BA25 | CMA | + + + + | |
lt paraterminal gyrus, BA25 | CMA | + + + | |
rt accumbens area | CMA | + + + + | |
lt accumbens area | CMA | + + + + | |
rt medial OFC | CMA | + | |
rt medial OFC, white matter | CMA | + | |
lt medial OFC | CMA | + | |
lt medial OFC, white matter | CMA | + + |
Structures are shaded according to superstructure: dark gray shading = cingula and cingulate gyrus; light gray shading = orbitofrontal cortex. ACT = anterior cingulotomy; BA = Brodmann area; CMA = Center for Morphometric Analysis structural atlas; JHU = Johns Hopkins University white-matter tractography atlas; LL = limbic leucotomy; OFC = orbitofrontal cortex; + = 5%–10% overlap; + + = >10%–25% overlap, + + + = >25%–50% overlap; + + + + = >50%–100% overlap.
Anterior Cingulotomy
The predominant structures in which lesions were created by anterior cingulotomy were the bilateral anterior cingula and cingulate gyri (corresponding with Brodmann areas 24 and 32) (Table 1, Figs. 6 and 7). On the basis of the Johns Hopkins University white-matter and the Center for Morphometric Analysis atlases, the difference in overlap between the left and right cingula and cingulate gyri was not significant.
Limbic Leucotomy
Approximately 80% of the area of the nucleus accumbens was affected by limbic leucotomy, and although the cingula and cingulate gyri were affected by the matured cingulotomy lesion, the paraterminal gyrus (Brodmann area 25) and subgenual cingulate were lesioned by the subcaudate tractotomy (Table 1, Fig. 7). Notable white matter structures that overlapped with the limbic leucotomy lesion included the bilateral uncinate fascicles and the white matter of the medial orbitofrontal cortex (Table 1, Fig. 6). Comparison of the bilateral lesions demonstrated no significant difference in anatomical overlap on the right versus the left sides.
Lesion Characteristics and Clinical Outcomes
Our pilot study elucidated the relationship between lesion characteristics and clinical outcomes in a subgroup of patients for whom lesioning surgery was indicated for medically intractable OCD. Unfortunately, sample size was limited because of the infrequency with which these procedures were performed and the requirement for higher resolution postoperative clinical imaging. We analyzed data from 11 anterior cingulotomy patients and 8 limbic leucotomy patients. The data were analyzed in 2 ways. The first method, a categorical comparison, divided the patients into responders and nonresponders according to Y-BOCS scores at a threshold of ≥ 35% decrease in Y-BOCS postoperative score62 (Table 2, Fig. 8) and subsequently analyzed and compared anatomical overlap data for each ROI (Tables 3 and 4). The second method involved VLSM with postoperative Y-BOCS scores.
TABLE 2.
Anterior Cingulotomy |
Limbic Leucotomy |
|||
---|---|---|---|---|
Variable | Nonresponder (n = 9)* | Responder (n = 2) | Nonresponder (n = 4)* | Responder (n = 4)* |
mean preop Y-BOCS score | 34 ± 1.4 | 33 | 32.5 ± 2.5 | 34.8 ± 2.1 |
most recent mean postop Y-BOCS score | 32 ± 1.5 | 11 | 27.8 ± 1.9 | 13.0 ± 4.3 |
change in Y-BOCS score | −4.5% ± 3.3% | −66% | −13.5% ± 6.8% | −61.8% ± 12.9% |
mean follow-up interval (mos) | 35.4 ± 13.2 | 25 | 49.0 ± 17.6 | 25.7 ± 14.5 |
mean lesion volume (ml) | 12.8 ± 13.2 | 12.6 | 10.9 ± 1.8 | 10.5 ± 0.6 |
Values presented as the mean ± SE.
TABLE 3.
Mean Overlap for ACT (%) |
||||
---|---|---|---|---|
Structure | Atlas | Nonresponders | Responders | p Value* |
rt cingulum | JHU | 17 | 15 | 0.6 |
lt cingulum | JHU | 14 | 13 | 0.9 |
rt anteromedial cingulate gyrus, BA24 | CMA | 48 | 57 | 0.4 |
lt anteromedial cingulate gyrus, BA24 | CMA | 42 | 49 | 0.9 |
rt paracingulate cortex, BA32 | CMA | 11 | 26 | 0.1 |
lt paracingulate cortex, BA32 | CMA | 18 | 16 | 0.9 |
Calculated by using the Wilcoxon rank-sum test.
TABLE 4.
Mean Overlap for Limbic Leucotomy (%) |
||||
---|---|---|---|---|
Structure | Atlas | Nonresponders | Responders | p Value* |
rt accumbens area | CMA | 69 | 87 | 0.06 |
lt accumbens area | CMA | 76 | 87 | 0.2 |
rt anteromedial cingulate gyrus, BA24 | CMA | 16 | 17 | 0.5 |
lt anteromedial cingulate gyrus, BA24 | CMA | 25 | 14 | 0.1 |
rt uncinate fasciculus | JHU | 7 | 7 | 0.7 |
rt paraterminal gyrus, BA25 | CMA | 58 | 49 | 0.9 |
lt paraterminal gyrus, BA25 | CMA | 25 | 31 | 0.3 |
rt medial OFC, white matter | CMA | 10 | 5 | 0.7 |
rt sublenticular extended amygdala | CMA | 5 | 18 | 0.03 |
lt sublenticular extended amygdala | CMA | 9 | 15 | 0.3 |
Calculated by using the Wilcoxon rank-sum test. Value in boldface is statistically significant.
Categorical Comparison
Among the 11 patients who underwent anterior cingulotomy, 9 were considered nonresponders; mean (± standard error) follow-up time was 35.4 ± 13.2 months, and average Y-BOCS score decrease was 4.5% ± 3.3%. The other 2 patients were classified as responders; Y-BOCS decreases were 35% or greater, and the average Y-BOCS decrease was 66%. Lesion volumes did not differ significantly between the 2 groups. Analysis of anatomical ROI overlap of the 2 outcome groups did not find statistically significant differences in involvement of the cingulate gyrus or cingulum (Table 3).
Among the 8 patients who underwent limbic leucotomy, 4 were considered nonresponders; mean (± standard error) follow-up time was 49.0 ± 17.6 months, and average Y-BOCS decrease was 13.5 ± 6.8%. The other 4 patients were classified as responders; mean follow-up time was 25.7 ± 14.5 months. Y-BOCS decreases were ≥ 35%, and the average Y-BOCS decrease was 61.8 ± 12.9%. Lesion volumes did not differ significantly between the 2 groups. Only 1 structure, the right sublenticular extended amygdala, showed a statistically significant difference in overlap between responders and nonresponders (Table 4).
Voxel-Based Lesion–Symptom Mapping
A second method for analyzing the lesion and clinical data involved VLSM with postoperative Y-BOCS scores. As a result, this method does not require the grouping of patients into responders and nonresponders; instead, it compares continuous outcomes on a voxel-wise basis by using coregistered lesion masks. Because of the small sample size, a limited number of voxels was significantly correlated with improved outcomes for patients with anterior cingulotomy and limbic leucotomy lesions (Fig. 8). Dorsolateral voxels in postoperative and mature anterior cingulotomy lesions were correlated with lower postoperative Y-BOCS scores. Furthermore, for the subcaudate tractotomy portion of the limbic leucotomy, posteroventral voxels were correlated with lower postoperative Y-BOCS scores.
Discussion
We used MRI-based and atlas-based approaches to lesion analysis to achieve a neuroanatomical understanding of cingulotomy and limbic leucotomy. Using these data, we were able to compare the areas affected by these lesions. Ultimately, anterior cingulotomy and limbic leucotomy isolated lesions to the specific aberrant circuits involved in psychopathology. This study offers a neuroanatomical characterization of anterior cingulotomy and limbic leucotomy performed at our institution and elucidates the lesion sites that result in symptom reduction.
Studies have shown that the predominant anatomical structures implicated in OCD psychopathology include the orbitofrontal cortex, anterior cingulate cortex, dorsolateral prefrontal cortex, and ventromedial prefrontal cortex.12 Because of its role in regulation of emotions, motivation, and behavioral planning, which has been linked to compulsions, obsessions, and intrusive thoughts, the orbitofrontal cortex influences the presentation of psychiatric symptoms.12,23 Similarly important, the anterior cingulate cortex probably triggers repetitive behaviors through its involvement in conflict monitoring.11,12,22,40 The ventromedial prefrontal cortex and the dorsolateral prefrontal cortex have also been associated with psychiatric symptoms. The ventromedial prefrontal cortex modulates emotional state and is involved in production of negative emotion and self-reflection.44,68,90 Although the dorsolateral prefrontal cortex is typically characterized by its executive or cognitive functions, it also regulates and suppresses negative emotion.33,44,48,65
These structures are linked via the corticostriatothalamocortical circuit, which has been implicated in OCD and includes the amygdala, mediodorsal thalamus, and ventral striatum.12,33 Meta-analyses have shown that patients with OCD have reduced gray matter density in the dorsolateral prefrontal cortex and orbitofrontal cortex and reduced volume of the anterior cingulate cortex and orbitofrontal cortex.77,78,85 In addition, functional MRI and positron emission tomography studies of OCD patients have shown that stimulus presentation activates the orbitofrontal cortex, dorsolateral prefrontal cortex, anterior cingulate cortex, and basal ganglia structures.2,14,23,55,70,76 In line with these findings, successful treatment of OCD by pharmacological, behavioral, and neurosurgical methods reduces activity in this circuit.9,33,63,80,84
Our data show that anterior cingulotomy, subcaudate tractotomy, and limbic leucotomy affect OCD circuits by directly involving the anatomical centers and connecting white matter. For example, in limbic leucotomy lesions, involvement of the bilateral uncinate fasciculi suggests severing of the connection among cortical areas and ventral prefrontal cortex and orbitofrontal cortex, which has been previously demonstrated in nonhuman primates.46,64 As expected, given that the limbic leucotomy is a combination of anterior cingulotomy and subcaudate tractotomy, structures affected by anterior cingulotomy were included in limbic leucotomy. Involvement of the bilateral accumbens areas, ventromedial prefrontal cortex, medial and lateral orbitofrontal cortex, and Brodmann area 25, which is commonly implicated in mood,36 were essentially unique to the limbic leucotomy.
Lesion volumetry for anterior cingulotomy shows that volumes are larger than those previously reported from our institution, likely resulting from change in procedure from creation of a single lesion in each dorsal anterior cingulum to creation of 3 lesions per side.71 In addition, we found that, although the limbic leucotomy procedure involves both an anterior cingulotomy and subcaudate tractotomy, the mean volume of the limbic leucotomy lesion was smaller than that of the anterior cingulotomy. Although the difference in volume was not significant according to the Wilcoxon rank-sum test, this difference most likely results from the number of total lesions made (4 for subcaudate tractotomy vs 6 for anterior cingulotomy) and to contraction of the anterior cingulotomy lesion with maturity (Figs. 1–3).
For historical interest, we compared data from modern lesioning techniques with those from an MRI data set of 3 lobotomy cases (Fig. 9). Given that decades had passed between the lobotomy procedure and the time of imaging, this data set is necessarily limited by Wallerian and age-related degeneration. However, because of the impossibility of contemporaneous MRI imaging, this data set provides the best possible description of lobotomy anatomy. Lesion size for this data set was found to be much larger than that of modern lesioning techniques; mean (± standard error) volume was 84.6 ± 1.9 ml. Similar to findings of prior studies,10,59,61,83 numerous white and gray matter structures were involved in these lesions, including the superior sagittal stratum, anterior thalamic radiations, inferior frontal gyrus, Brodmann areas 44 and 45, cingula, medial orbitofrontal cortex, and dorsolateral prefrontal cortex. Lesioning of these structures probably explains the known side effects of lobotomy, such as emotional flattening, postoperative seizures, and changes to cognitive function and personality.25,28,29,43,54,88 In fact, the original development of stereotactic psychiatric lesioning procedures in part aimed to avoid thalamofrontal connections to minimize the adverse effect of emotional flattening.43
Lesion analysis for psychiatric neurosurgical lesioning procedures is ultimately important for not only better understanding the sites affected but also for clarifying potential variation among patients and procedures performed at psychiatric neurosurgery centers. Given that these procedures often vary according to institution, lesion analysis is an avenue for contextualizing reported outcomes, based on the structures affected. Moreover, as shown by our pilot study of a method that reveals the most important parts of lesions for symptomatic improvement, lesion analysis can be used to refine psychiatric neurosurgery techniques.
In the context of treatment of medically intractable OCD, the most recently reported success rates are in the range of 30%–50% for cingulotomy24,26,37 and 36%–50% for limbic leucotomy.58 However, we do not have an optimal understanding of why only a proportion of surgeries are successful. Modern techniques in lesion analysis might enable us to correlate clinical outcome with lesion characteristics. Ultimately, adoption of these techniques might lead to an understanding of lesion–outcome relationships.
Although extensive lesion analysis has not been reported for limbic leucotomy, 2 studies have explicitly applied lesion analysis to cingulotomy lesions to better understand if lesion characteristics are related to postoperative patient outcomes.74,82 Richter et al. found that more dorsal lesions resulted in superior clinical response in terms of Y-BOCS score improvement, but whether this finding was statistically significant is unclear because only 1 patient had lasting benefit for more than 1 year.74 In the context of depression, Steele et al. found that smaller and more anterior lesions garnered better clinical response at 1 year in 8 patients,82 although this study focused on center-of-mass lesion locations rather than lesions as a whole.
We did not find that anterior cingulotomy lesion volume was associated with outcome for patients with OCD. However, our small sample size was skewed, given that only 2 of the patients examined were classified as responders. In addition, these previous studies involve a different lesion technique than the one currently used at our institution.
Comparison of responder and nonresponder anterior cingulotomy patients did not reveal statistically significant differences in anatomical areas affected. Although this result might be caused by small sample size, another reason might be the location-specific nature of surgical outcome. Voxel-based lesion–symptom mapping demonstrates that dorsolateral and anterior aspects of the anterior cingulotomy lesion were correlated with improved outcome, a finding that is similar to that of Steele et al.82 and Richter et al.74 It is potentially more powerful than direct comparison of structures because it uses a voxelwise approach and continuous outcome variables, which make it unnecessary to group patients according to responder category.
In our small sample size of 8 limbic leucotomy patients, we found that lesion volume did not predict patient outcome. Voxel-based lesion–symptom mapping suggested that more posteroventral subcaudate tractotomy lesions are associated with improved outcome. Only 1 structure was associated with improved outcome: the sublenticular extended amygdala. The amygdala receives multiple sensory inputs and, given its links to the limbic areas, could link these inputs to emotions.3 Volumetric MRI studies have also shown that OCD patients have significantly enlarged left amygdala volume.45 Moreover, in rats, the sublenticular extended amygdala specifically has been shown to be involved in reward processes via the medial forebrain bundle.89 In humans, the sublenticular extended amygdala is thought to have a role in emotional salience processing,50,66 and functional MRI studies have shown activation of the sublenticular extended amygdala during expectation of negative stimuli in patients with major depression.1 As a result, it is plausible that modulation of this region could lead to improved outcomes for OCD patients.
This study's predominant limitation is its small sample size. Nevertheless, this study demonstrates the usefulness of applying lesion analysis based on anatomical overlap and VLSM to the refinement of future psychiatric neurosurgical procedures. Development of a database of patient outcomes and lesion masks will probably lead to correlation of lesioned areas with improved clinical outcome. Using these data, surgeons can tailor procedures to target regions correlated with improved success rates. This study's other limitations include its nonstandardized imaging parameters (because of the clinical setting in which they were obtained) and relatively lower quality of imaging.
An extension of these lesion analysis techniques would incorporate recent advances in diffusion imaging to characterize the specific connectivities affected by each lesion type. Recent studies with diffusion tensor imaging have shown differences in connectivity in patients with OCD.19,60 One diffusion study investigated the association between psychiatric neurosurgical lesions, including anterior cingulotomy, subcaudate tractotomy, and limbic leucotomy, and white matter tracts but used simulated lesions and healthy participants.79 As a result, further research would investigate patient-specific white matter tracts and determine whether anterior cingulotomy and limbic leucotomy must interrupt specific tracts for improved outcomes.
Conclusions
Anterior cingulotomy and limbic leucotomy arose from the prefrontal lobotomy of the 1930s–1950s, but these newer procedures affect specific pathological circuits, resulting in increased efficacy and reduced adverse effects. Both procedures target the corticostriatothalamocortical circuit implicated in OCD, particularly at anatomical centers that are differentially activated in symptomatic patients. Modern lesion analysis with MRI-based techniques can characterize the lesions caused by these procedures morphometrically and volumetrically. This characterization is particularly useful for contextualizing surgical outcomes, given the institution-specific approaches to these procedures. According to the results of our pilot study, correlation of lesion characteristics with outcome using lesion analysis and VLSM is a viable technique for understanding why only certain patients respond favorably to surgery and may prove useful for refining these procedures in the future.
Acknowledgment
We thank George Papadimitriou for his assistance with image processing.
Funding was provided by the National Institute on Drug Abuse (grant no. 1R01DA027804-01 to N.M.) and National Institute of Mental Health (grant no. 1R21MH084041-01A1 to N.M.).
Abbreviations used in this paper
- OCD
obsessive-compulsive disorder
- MNI
Montreal Neurological Institute
- ROI
region of interest
- VLSM
voxel-based lesion–symptom mapping
- Y-BOCS
Yale-Brown Obsessive Compulsive Scale.
Footnotes
Disclosure The authors report no conflict of interest concerning the materials or methods used in this study or the findings specified in this paper.
Author contributions to the study and manuscript preparation include the following. Conception and design: all authors. Acquisition of data: Yang. Analysis and interpretation of data: Eskandar, Yang, Dougherty, Makris. Drafting the article: Yang. Critically revising the article: all authors. Reviewed submitted version of manuscript: all authors. Approved the final version of the manuscript on behalf of all authors: Eskandar. Statistical analysis: Yang. Study supervision: Eskandar, Dougherty, Makris.
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