Changes in neuronal activation patterns in response to androgen deprivation therapy: a pilot study
© Cherrier et al; licensee BioMed Central Ltd. 2010
Received: 15 July 2009
Accepted: 4 January 2010
Published: 4 January 2010
A common treatment option for men with prostate cancer is androgen deprivation therapy (ADT). However, men undergoing ADT may experience physical side effects, changes in quality of life and sometimes psychiatric and cognitive side effects.
In this study, hormone naïve patients without evidence of metastases with a rising PSA were treated with nine months of ADT. Functional magnetic resonance imaging (fMRI) of the brain during three visuospatial tasks was performed at baseline prior to treatment and after nine months of ADT in five subjects. Seven healthy control patients, underwent neuroimaging at the same time intervals.
ADT patients showed reduced, task-related BOLD-fMRI activation during treatment that was not observed in control subjects. Reduction in activation in right parietal-occipital regions from baseline was observed during recall of the spatial location of objects and mental rotation.
Findings, while preliminary, suggest that ADT reduces task-related neural activation in brain regions that are involved in mental rotation and accurate recall of spatial information.
Prostate cancer is the most common form of non-skin cancer diagnosed in U.S. men with over 218,000 newly diagnosed cases each year estimated per year . While androgen deprivation therapy (ADT) used to be reserved for those with metastatic disease and resulted in a median survival of 2-5 years [2, 3], ADT is now commonly prescribed in the setting of localized disease (e.g. in combination with radiation therapy) or for the 22% of patients who fail primary therapy and have a rising PSA without evidence of metastases . In contrast to those with metastatic disease the latter patients often have no disease related symptoms and may live for many years.
Physiological consequences of androgen deprivation include obesity, anemia, loss of bone mineral density, muscle atrophy, gynecomastia and mood changes [2, 5, 6]. A recent population based study showed that ADT was associated with an increased risk of diabetes, myocardial infarction, and hypertension . Psychiatric changes can include depression and anxiety  and cognitive problems can include impairments in verbal memory [9, 10], spatial reasoning  and attention . Given these cognitive and medical side effects of ADT understanding the immediate and long-term consequence of treatment is essential.
Based on findings from our previous study demonstrating a decline in spatial reasoning abilities in healthy men undergoing ADT , the aim of this study was to examine if neural activation changes were evident in response to androgen deprivation while performing spatial reasoning and spatial memory tasks using functional magnetic resonance imaging (fMRI). Spatial reasoning and spatial memory were specifically chosen to examine the effects of ADT on brain function because task-related brain activation has been clearly identified, particularly in regions of the parietal cortex [13–16] along with evidence of hormone influences on these brain regions [17–19]. The aim of the present study was to assess changes in neural activation in response to androgen deprivation using functional magnetic resonance imaging (fMRI). We hypothesized that men undergoing ADT would show reduced activation in the task-related parietal region during spatial reasoning and spatial memory tasks compared to baseline and to healthy controls.
Participants were a subset of participants from a larger study examining cognitive and mood changes in ADT who agreed to the additional neuroimaging procedures (See  for details). The sample is a convenience sample comprised of those participants who were willing to undergo neuroimaging procedures in addition to the cognitive assessment procedures in the larger study. Twelve prostate cancer patients with rising PSA (biochemical relapse) following primary therapy (radiation, brachytherapy or prostatectomy) in which intermittent androgen suppression (ADT) therapy is indicated were eligible and gave informed consent to participate. Intermittent ADT is a treatment strategy that cycles androgen withdrawal with an "off treatment" period allowing the testosterone levels to return to eugonadal levels. This approach has allowed for characterization of the biological, psychological, and quality of life effects of ADT and which effects are reversible or attenuated when the testosterone levels increase during the 'off treatment' period. Additional eligibility criteria included age greater than 21 years, no disturbance in daily functioning and normal pretreatment serum testosterone. Exclusion criteria included moderate pain related to prostate cancer, history of prior psychiatric illness involving hospitalization, dementia, central nervous system metastasis, history of systemic chemotherapy, current renal dysfunction or hepatic dysfunction, prior exposure to welding or any surgery resulting in metal implants in the brain or presence of any unusual findings from magnetic resonance imaging (MRI). The University of Washington Institutional Review Board approved this study and written informed consent was obtained from all patients prior to study procedures. A placebo or non-treated group in this population was not feasible, therefore a comparable non-treatment group of twelve community dwelling eugonadal men without prostate cancer range matched for age within four years and education within two years underwent the same neuroimaging procedures at a matching time interval to the ADT group. Radiology technicians who performed scanning operations were blind to conditions. Imaging data were identified only by coded numbers and group membership was coded during image analysis.
Baseline evaluations for ADT patients included a bone scan, CT scan of the abdomen and pelvis, chest x-ray, cognitive function testing, and baseline laboratory values including renal and hepatic function, PSA and total testosterone. Patients were treated with an anti-androgen (flutamide 250 mg TID or bicalutamide 50 mg per day if intolerant of flutamide) lead-in alone for 2 weeks followed by the addition of leuprolide 7.5 mg administered by monthly intramuscular injection for nine doses. Thereafter, the PSA was followed monthly. The ADT group underwent neuroimaging procedures prior to the start of treatment (time1) and again after nine months of androgen deprivation (time2). The control group underwent two neuroimaging sessions nine months apart. In addition to high resolution structural scans, subjects underwent blood oxygen level dependent (BOLD) -fMRI imaging while performing three cognitive tasks; i) encoding and ii) recognition in a spatial memory task and iii) a mental rotation task.
Environmental Memory Task (EMT)
An environmental memory task designed by Shelton and colleagues [21, 22] was used for a spatial memory task. The task was modified for older individuals by using a single environment (either a park or market) during both encoding and recognition portions and allowing subjects 6 seconds (rather then 3) to identify still images during recognition. This task is composed of separate, sequentially presented encoding and recognition runs lasting 348 and 478 seconds, respectively.
During both encoding and recognition the environment is viewed from the ground (route) and the aerial (survey) perspective in an alternating, pseudorandom order. To ensure that subjects were familiar with identifying objects from the route and survey perspective and that they understood the requirements of the task they completed a practice session outside the MRI suite with an environment not subsequently used during the scanning session. All subjects demonstrated satisfactory understanding and performance of the task after this practice session and the practice session was repeated at the second visit. During the fMRI session verbal instructions were provided though headphones and visual stimuli through goggles connected via high-resolution fiber optic cables. Stimuli were presented using an Apple computer running PsyScope . Radiology technicians who were responsible for scanning the participants were blind to condition and only subject numbers identified the imaging data.
Encoding task (ENCODE)
During the encoding task subjects viewed animated movies of an environment (either a park or market) presented from both the route perspective and the survey perspective. The environment was shown six times, 3× from the route and 3× from the survey perspective, in an alternating psuedorandom order. The individual movies were 46 seconds long and were preceded by 3 seconds of fixation. Three, 18 second fixation blocks (cross-hair) were intermixed in the sequence. The run was thus composed of 3 fixation blocks (18s each) + 3 repetitions of the route perspective movie (46+3s each) + 3 repetitions of the survey perspective movie (46+3s each) in for a total run time or 348 s (116 volumes, TR = 3). Immediately following encoding subjects were tested on their knowledge of the complex environment during the recognition task (see below). Subjects were informed that their memory for the environment would be subsequently tested but active responses were not required during encoding.
Recognition task (RECOG)
During the recognition run subjects viewed still images of the previously studied environment and determined if objects within the environment were; (i) correctly positioned (previously seen items in appropriate environmental locations), (ii) spatially rearranged (previously seen items shuffled within the environment), or (iii) they could not tell (do not know). A total of 64 images were presented; 32 from the route perspective (4 blocks of 8 images, each block preceded by 3 s of fixation) and 32 images from the survey perspective (4 blocks of 8 images, each block preceded by 3 s of fixation). Each set of 8 images contained four spatially correct images and four foils or incorrect choices with the order randomized. Four, 18 s fixation blocks (cross-hair) were intermixed in the sequence. The entire run was thus composed of 4 fixation blocks (18s each) + 4 route perspective picture blocks (48+3s each) + 4 survey perspective picture blocks (48+3s each) in a quasi-random order for a total run time of 480s (160 volumes, TR = 3). Following the fMRI session subjects were asked to draw the environment to ensure they had completed the task appropriately (data not scored).
Mental Rotation Matching Task (MATCH)
Participants were shown black and white complex, three dimensional (3D) figures taken from the Shephard and Metzler Mental Rotation test [24, 25] or complex and abstract two dimensional (2D) figures in black/white/gray. Participants were asked to determine if the figures (i) matched exactly or, (ii) they did not match or, (iii) did not know. Incorrect matches for the three-dimension figures were either mirror images or a different configuration whereas a match was the same image side by side, although the images may have been rotated in space. For the 2D- images, a match was the same image side by side, whereas a mis-match involved one of the figures having additional details or missing details. Stimuli were presented using Eprime® software http://www.pstnet.com/products/e-prime/ and responses were recorded using magnet compatible buttons. For 3D-figures a total of 15 figures were presented (3 blocks of 5 images, each block preceded by 6 seconds of instruction) and for 2D-figures a total of 18 images were presented (3 blocks of 10 images, each block preceded by 6 seconds of instruction). Four, 18 s fixation blocks (cross-hair) were inter-mixed in the sequence. The entire run was thus composed of 4 fixation blocks (18 s each) + 6 figure matching blocks + 6 instruction periods for a total run time of 468 second scan (156 volumes, TR = 3).
Structural and functional MRI were performed on a 1.5 T MR imaging system (General Electric, Waukesha, WI). Whole brain axial anatomic (21 images, TR/TE 200/2.2 ms) and functional (21 images, TR/TE 3000/50 ms, flip angle 90°, 64 × 64 matrix, in-plane resolution of 3.75 × 3.75 mm, slice thickness 6 mm with 1 mm spaces) images were collected using a two-dimensional gradient-echo, echo-planar pulse sequence.
Functional image analysis
SUMMARY OF STATISTICAL COMPARISONS
EVs in model
ICA data review (Separate for each paradigm and subject)
EV1: route (or 3D)
C11 = EV1-EV2
Subject paradigm analysis (Separate for each paradigm and subject)
EV2: survey (or 2D)
C12 = EV2-EV1
C13 = (EV1+EV2)-2*EV3
EV4-9: motion parameters of no interest
C14 = 2*EV3-(EV1+EV2)
C13 from each paradigm
EV1: time1 > time2
C21 = EV1
Intra-subject analysis (Separate for each subject)
EV2-4: paired t-test parameters of no interest
C22 = -EV1
C21 from each subject
C31 = EV1
Group time1 vs. time2 analysis
C32 = -EV1
C33 = EV2
C34 = -EV2
C35 = EV1-EV2
C36 = EV2-EV1
C11 or C13 from each subject
EV1: ADTtime1 > ADTtime2
C41 = EV1
Group paradigm analysis (Separate for each paradigm)
EV2: CTRtime1 > CTRtime2
C42 = -EV1
EV3-14: paired t-test
C43 = EV2
parameters of no interest
C44 = -EV2
C45 = EV1-EV2
C46 = EV2-EV1
C13 from each subject
Determining average z-scores (Separate for each paradigm and subject)
STEP 1: Motion correction , spatial smoothing with a 7 mm at half-maximum Gaussian kernel and low pass (sigma = 2.8 s) and high pass (sigma = 75 s) filters were applied. Absolute motion varied from 0.1 to 1.2 mm and relative motion varied between 0.04 and 0.22 mm. Data were then analyzed using probabilististic independent components analysis (ICA) (MELODIC)  to identify extreme scanning artifacts and the corresponding components were removed. 4-10 components removed from 4 of 24 ENCODE scans (1 ADT and 1 CTR subject) and 2 or 24 MATCH scans (1 CTR subject). No RECOG scan needed correction. STEP 2: The initial 6 volumes of each functional series were discarded to allow T1 equilibrium. For each task three separate explanatory variables (EVs) plus 6 motion parameters of no interest were modeled. For each subject and each task, four individual contrasts were designed to determine task-related activation, deactivation, and the difference between route/survey in the EMT and 3D/2D in the MATCH tasks. STEP 3: Each subject's functional data was mapped onto their high-resolution structural images using 7 DOF and into standard space (MNI152 brain) with a 12 DOF affine transformation . Registration was confirmed by visual inspection and manually re-aligned as appropriate. Individually for each subject, task-related activation at time1 was compared to time2 using a fixed-effects paired t-test. This allowed us to assess the change in task-related activation averaged across the three tasks for each subject. STEP 4: Between-group comparisons were done using a full mixed-effects GLM using the parameter estimates from STEP 3 as inputs [29, 30] and activated clusters were identified based on random field theory correcting for multiple comparisons (FLAME). STEP 5: A post-hoc region of interest (ROI) analysis was performed separately for each paradigm to determine how time1 vs. time2 changes in the individual paradigm contributed to the findings in STEP 4. For STEP 4 a z-threshold of 2.7 and p < 0.01 was set to minimize type 1 error while for STEP 5 stringency was relaxed by decreasing the z-threshold to 2.0 and p < 0.05 to reduce type 2 error. STEP 6: A unique statistically defined ROI was generated for each paradigm corresponding to the region where ΔADT > ΔCTR (RECOG and MATCH) or ADTtime1 > ADTtime2 ∩ CTRtime1 > CTRtime2 (ENCODE). These three paradigm specific ROIs were used in the calculation of the average z-scores for individual subjects during the corresponding tasks within the parietal lobe.
Both ADT patients and controls (CTR) ranged in age from 56 to 78 years with a mean age of 65 years and education ranged from 12 to 21 years with a mean education level of 17 years. Because the groups were range matched on age and education they were not significantly different on these demographic variables. One CTR and one ADT participant dropped out prior to baseline scanning due to concerns about 'feeling closed in' in the scanner. One CTR participant and two ADT patients did not complete the month 9 imaging session due to scheduling conflicts. Three CTR and ADT patients were not analyzed due to excessive motion. In all, seven controls and five ADT patients were included in the imaging analysis. All participants were right handed. Each subject was scanned twice (baseline, 9 months) with 24 scans sessions and three tasks for a total of 72 runs included in the analysis. Similar to other functional neuroimaging studies, variance in the BOLD signal for our study, for most brain regions across all paradigms was about 1% of the total signal. Given the design of our paradigms this would allow us to detect a 0.5% increase in signal (task-associated activation) with about 50% power and 0.75% change with > 80%power in individual subjects. Review of clusters of significant task-associated activation within individual subjects revealed, as expected from the simplistic prior power calculation, signal changes ranged 0.25-1.0% of the signal (data not shown)
As expected, total testosterone was reduced significantly in the treatment group at the time of the second scan compared to the control group F(1,9) = 37.6, p < .01 and a significant group by time interaction F (1,9) 53.26, p < .01 was evident. The ADT group total serum testosterone levels declined from an average of 3.52 (0.33) ng/ml at baseline to 0.25 (0.10) at month 9. The control group did not change with a baseline testosterone of 3.8 (0.67) ng/ml and a month 9 average of 4.3 (1.3) ng/ml.
In scanner behavioral performance on the environmental memory task (EMT) or mental rotation did not change significantly for either group, 36.0 (10) average total correct EMT (64 points possible) at time1 and 35.75 (13.6) at time2 for ADT group and 31.3 (13.5) at time1 and 38.0 (10.9) at time2 for control group.
ACTIVATION CHANGES IN THE RIGHT PARIETAL AREA BETWEEN BASELINE (TIME 1) & TREATMENT (TIME 2)
Brain region of cluster (all are right sided)
Area in cm3
Z-max MNI coordinates
ADTTime1 > ADTtime2
precuneus, cuneus and lateral occipital lobe
ADTtime1 > ADTtime2
cuneus and lateral occipital lobe
CTRtime1 > CTRtime2
precuneus, cuneus and lateral occipital lobe
ADTtime1 > ADTtime2
cuneus and precuneus
ΔADT > ΔCTR
ADTtime1 > ADTtime2
cuneus and precuneus
ΔADT > ΔCTR
Our results indicate androgen deprivation therapy (ADT) patients had reduced task-related BOLD-fMRI activation following androgen deprivation in the right parietal-occipital region for tasks involving manipulation and recall of spatial information. Although in scanner performance did not decline for either task in this small sample the observed reduced task-related activation may help explain our previous findings of impaired rotational abilities in a larger sample of men undergoing ADT [11, 20]. Cognitive changes in men undergoing ADT using paper and pencil and computerized tests have found impairments in verbal memory [9, 10], spatial abilities [11, 20] and attention . However, declines may be evident for only a subset of participants , and some studies have found no appreciable change in cognition from androgen ablation therapy . These findings suggest that gonadal steroids modulate parietal-occipital function and are consistent with a report correlating endogenous testosterone levels and neural activation in the inferior parietal lobule and left supramarginal gyrus regions while performing a mental rotation task .
Neuroimaging studies of mental rotation have generally found that rotation of three dimensional figures engages occipital and parietal regions with numerous studies supporting the role of the superior parietal lobule in the performance of mental rotation [33, 34]. Gender differences have been reported suggesting that women engage or recruit additional brain regions such as the frontal lobes, however the parietal region appears to be reliably activated by both genders [17, 35, 36]. Several studies but not all  have suggested that men outperform women on the mental rotation task  with some evidence for a positive relationship between performance on the task and circulating T levels [38, 39]. Our results are certainly consistent with these previous studies in demonstrating that parietal regions are activated during the mental rotation task and extend these findings to reveal potential interactions with hormone levels.
In addition to changes observed in the object rotation task, we also observed changes in neural activation from ADT during the recognition portion of the environmental memory task. Encoding of the complex environments have been reliably shown to activate fusiform gyrus, anterior and posterior superior parietal cortex, medial frontal cortex, and occipital cortex [21, 40] similar to patterns of activation observed for the present study. However, only the ADT group demonstrated a decrease in task-related activity at month 9 of androgen deprivation treatment compared to baseline in the right parietal lobe during the recognition portion of the EMT while both groups had decreased task-related activation during encoding. Both the environmental memory task and the mental rotation matching task have been shown to activate the parietal region and there is some suggestion that this region may be related to spatial transformation processes (See  for discussion).
Studies utilizing positron emission tomography (PET) techniques have also reported changes in neural activation in response to changes in androgen levels. Hypogonadal (low testosterone) men demonstrate increases in cerebral glucose metabolism after 12 weeks of testosterone treatment compared in occipital and frontal regions while performing a mental rotation task as measured by F-18-deoxyglucose (FDG) PET . A longitudinal study of healthy, eugonadal older men found that higher free testosterone (T) levels were related with increased regional cerebral blood flow (rCBF) as measured by serial [15O] PET in the hippocampus bilaterally, anterior cingulate gyrus and right inferior frontal cortex during resting state . A recent study of testosterone supplementation in eugonadal men reported both increases and decreases in regional cerebral blood flow (rCBF) as measured by [F-18] fluorodeoxy glucose (FDG) while performing a verbal memory recognition task . Testosterone treatment resulted in increased glucose utilization in left entorhinal cortex, right posterior hippocampus and right parahippocampal gyrus areas and decreased glucose utilization in right entorhinal cortex/amygdala. A single summary of findings from these studies is difficult given the wide variation of tasks from spatial to verbal and resting state as well as populations ranging from eugonadal and hypogonadal. However, there does appear to be general support for a modulation of neural activity in response to manipulation of androgens. A consistent pattern of findings amongst studies likely awaits further replication of hormone manipulation, imaging technique and cognitive task.
Results of the current study suggest that circulating androgen levels may modulate neural activity, particularly with regard to tasks that are spatially demanding or require spatial transformation processing. In particular, declines in neural activity were evident only in the ADT group compared to baseline and were most pronounced for those tasks with spatial demand such as three-dimensional rotation and the recall of the spatial location of objects from the EMT. The clinical relevance of these tasks relates to everyday tasks such as constructing or putting together furniture, household items or building structures as well as map reading and navigating which often require spatial or three dimensional mental transformations. Although we have demonstrated objective evidence of declines in spatial abilities in men undergoing ADT [11, 20], ideally these should correspond to subjective reports of everyday task difficulties. We are currently, investigating the nature of subjective cognitive complaints in ADT patients. However, it is not unusual for patients to demonstrate poor self or subjective appraisal of cognitive abilities such that objective and subjective measurement do not match (see for example [44–46]). This has also been observed in cancer patients (e.g. Jacobs (2007) ) who may be undergoing tremendous personal and health challenges. The neuroimaging results provide further convergence of evidence and a neural link with regard to our earlier observed findings of declines in spatial abilities.
While these results are interesting the sample size was limited. Thus, results will need to be independently replicated with a larger sample. Nonetheless, the same decline in task related activation following ADT was evident for both cognitive tasks thus lending some support to consistency despite the small sample size along with the study design which was prospective and repeated measure thus there were two scans analyzed for each subject. In addition, the study was prospective and enrolled participants prior to the start of treatment, thus establishing a clean baseline and the sample size is consistent with other studies involving cancer patients and neuroimaging (See McDonald et al. (2008)  for a review) or studies involving coordination of neuroimaging along with treatment. An additional consideration is that the sample was highly educated (mean of 17 years). This may have had an impact on the participants' ability to perform the cognitive tasks and may also provide considerations for the generalizabiltiy of the results to the population of men with prostate cancer. However, patients were range matched to controls for age and education, which may have provided some control over differences between the groups.
This study was supported in part by NIA K01AG00858, M01-RR-00037 and Department of Defense, Prostate Cancer Research Program (DAMD17-03-1-0045)- MMC and the Department of Veterans Affairs Puget Sound Health Care System (VHAPSHCS). PRB is supported by 1KL2RR025015-01 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH) and NIH Roadmap for Medical Research. Views and opinions of, and endorsements by the author(s) do not reflect those of the USArmy or the Department of Defense.
The authors wish to thank Marisa Johnson, Teresa Gambol, Jennifer Jenkins, and Jeff Stephenson for their excellent technical assistance.
- Grubb RL, Kibel AS: Prostate cancer: screening, diagnosis and management in 2007. Missouri medicine. 2007, 104 (5): 408-413. quiz 413-404PubMedGoogle Scholar
- Higano C: Androgen deprivation therapy: monitoring and managing the complications. Hematol Oncol Clin North Am. 2006, 20 (4): 909-923. 10.1016/j.hoc.2006.03.013.View ArticlePubMedGoogle Scholar
- Holmes L, Chan W, Jiang Z, Du XL: Effectiveness of androgen deprivation therapy in prolonging survival of older men treated for locoregional prostate cancer. Prostate Cancer Prostatic Dis. 2007, 10 (4): 388-395. 10.1038/sj.pcan.4500973.View ArticlePubMedGoogle Scholar
- Grossfeld GD, Stier DM, Flanders SC, Henning JM, Schonfeld W, Warolin K, Carroll PR: Use of second treatment following definitive local therapy for prostate cancer: data from the caPSURE database. J Urol. 1998, 160 (4): 1398-1404. 10.1016/S0022-5347(01)62548-5.View ArticlePubMedGoogle Scholar
- Stoch SA, Parker RA, Chen L, Bubley G, Ko YJ, Vincelette A, Greenspan SL: Bone loss in men with prostate cancer treated with gonadotropin- releasing hormone agonists. J Clin Endocrinol Metab. 2001, 86 (6): 2787-2791. 10.1210/jc.86.6.2787.PubMedGoogle Scholar
- Higano C, Shields A, Wood N, Brown J, Tangen C: Bone mineral density in patients with prostate cancer without bone metastases treated with intermittent androgen suppression. Urology. 2004, 64 (6): 1182-1186. 10.1016/j.urology.2004.07.019.View ArticlePubMedGoogle Scholar
- Keating NL, O'Malley AJ, Smith MR: Diabetes and cardiovascular disease during androgen deprivation therapy for prostate cancer. J Clin Oncol. 2006, 24 (27): 4448-4456. 10.1200/JCO.2006.06.2497.View ArticlePubMedGoogle Scholar
- DiBlasio CJ, Hammett J, Malcolm JB, Judge BA, Womack JH, Kincade MC, Ogles ML, Mancini JG, Patterson AL, Wake RW, et al: Prevalence and predictive factors for the development of de novo psychiatric illness in patients receiving androgen deprivation therapy for prostate cancer. Can J Urol. 2008, 15 (5): 4249-4256.PubMedGoogle Scholar
- Beer TM, Bland LB, Bussiere JR, Neiss MB, Wersinger EM, Garzotto M, Ryan CW, Janowsky JS: Testosterone loss and estradiol administration modify memory in men. J Urol. 2006, 175 (1): 130-135. 10.1016/S0022-5347(05)00049-2.View ArticlePubMedGoogle Scholar
- Green HJ, Pakenham KI, Gardiner RA: Effects of lutenizing hormone releasing hormone analogs on cognition in women and men: A review. Psychology, Health and Medicine. 2000, 5 (4): 407-418. 10.1080/713690212.View ArticleGoogle Scholar
- Cherrier MM, Rose AL, Higano C: The effects of combined androgen blockade on cognitive function during the first cycle of intermittent androgen suppression in patients with prostate cancer. J Urol. 2003, 170 (5): 1808-1811. 10.1097/01.ju.0000091640.59812.83.View ArticlePubMedGoogle Scholar
- Salminen EK, Portin RI, Koskinen A, Helenius H, Nurmi M: Associations between serum testosterone fall and cognitive function in prostate cancer patients. Clin Cancer Res. 2004, 10 (22): 7575-7582. 10.1158/1078-0432.CCR-04-0750.View ArticlePubMedGoogle Scholar
- Epstein R, Kanwisher N: A cortical representation of the local visual environment. Nature. 1998, 392 (6676): 598-601. 10.1038/33402.View ArticlePubMedGoogle Scholar
- Hartley T, Maguire EA, Spiers HJ, Burgess N: The well-worn route and the path less traveled: distinct neural bases of route following and wayfinding in humans. Neuron. 2003, 37 (5): 877-888. 10.1016/S0896-6273(03)00095-3.View ArticlePubMedGoogle Scholar
- Hayes SM, Ryan L, Schnyer DM, Nadel L: An fMRI study of episodic memory: retrieval of object, spatial, and temporal information. Behav Neurosci. 2004, 118 (5): 885-896. 10.1037/0735-7044.118.5.885.View ArticlePubMedPubMed CentralGoogle Scholar
- Halari R, Sharma T, Hines M, Andrew C, Simmons A, Kumari V: Comparable fMRI activity with differential behavioural performance on mental rotation and overt verbal fluency tasks in healthy men and women. Experimental brain research Experimentelle Hirnforschung. 2006, 169 (1): 1-14. 10.1007/s00221-005-0118-7.View ArticlePubMedGoogle Scholar
- Hugdahl K, Thomsen T, Ersland L: Sex differences in visuo-spatial processing: an fMRI study of mental rotation. Neuropsychologia. 2006, 44 (9): 1575-1583. 10.1016/j.neuropsychologia.2006.01.026.View ArticlePubMedGoogle Scholar
- Schoning S, Engelien A, Kugel H, Schafer S, Schiffbauer H, Zwitserlood P, Pletziger E, Beizai P, Kersting A, Ohrmann P, et al: Functional anatomy of visuo-spatial working memory during mental rotation is influenced by sex, menstrual cycle, and sex steroid hormones. Neuropsychologia. 2007Google Scholar
- Sommer IE, Cohen-Kettenis PT, van Raalten T, Vd Veer AJ, Ramsey LE, Gooren LJ, Kahn RS, Ramsey NF: Effects of cross-sex hormones on cerebral activation during language and mental rotation: An fMRI study in transsexuals. Eur Neuropsychopharmacol. 2008, 18 (3): 215-221. 10.1016/j.euroneuro.2007.10.002.View ArticlePubMedGoogle Scholar
- Cherrier MM, Aubin S, Higano CS: Cognitive and Mood Changes in Men Undergoing Intermittent Combined Androgen Blockade for Non-Metastatic Prostate Cancer. Psycho-Oncology. 2008, 18 (3): 237-247. 10.1002/pon.1401.View ArticleGoogle Scholar
- Shelton AL, Gabrieli JD: Neural correlates of encoding space from route and survey perspectives. J Neurosci. 2002, 22 (7): 2711-2717.PubMedGoogle Scholar
- Shelton AL, McNamara TP: Spatial memory and perspective taking. Memory & cognition. 2004, 32 (3): 416-426.View ArticleGoogle Scholar
- Cohen JD, MacWhinney B, Flatt M, Provost J: Psyscope: A new graphic interface environment for designing psychological experiments. Behavioral Research Methods, Instruments and Computers. 1993, 25:Google Scholar
- Shepard RN, Metzler J: Mental rotation of three-dimensional objects. Science. 1971, 171 (972): 701-703. 10.1126/science.171.3972.701.View ArticlePubMedGoogle Scholar
- Shepard S, Metzler D: Mental rotation: effects of dimensionality of objects and type of task. J Exp Psychol Hum Percept Perform. 1988, 14 (1): 3-11. 10.1037/0096-1522.214.171.124.View ArticlePubMedGoogle Scholar
- Jenkinson M, Bannister P, Brady M, Smith S: Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 2002, 17 (2): 825-841. 10.1016/S1053-8119(02)91132-8.View ArticlePubMedGoogle Scholar
- Beckmann CF, Smith SM: Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging. IEEE Trans Med Imaging. 2004, 23 (2): 137-152. 10.1109/TMI.2003.822821.View ArticlePubMedGoogle Scholar
- Jenkinson M, Smith S: A global optimisation method for robust affine registration of brain images. Medical image analysis. 2001, 5 (2): 143-156. 10.1016/S1361-8415(01)00036-6.View ArticlePubMedGoogle Scholar
- Woolrich MW, Behrens TE, Beckmann CF, Jenkinson M, Smith SM: Multilevel linear modelling for FMRI group analysis using Bayesian inference. Neuroimage. 2004, 21 (4): 1732-1747. 10.1016/j.neuroimage.2003.12.023.View ArticlePubMedGoogle Scholar
- Woolrich MW, Jenkinson M, Brady JM, Smith SM: Fully Bayesian spatio-temporal modeling of FMRI data. IEEE transactions on medical imaging. 2004, 23 (2): 213-231. 10.1109/TMI.2003.823065.View ArticlePubMedGoogle Scholar
- Jenkins VA, Bloomfield DJ, Shilling VM, Edginton TL: Does neoadjuvant hormone therapy for early prostate cancer affect cognition? Results from a pilot study. BJU Int. 2005, 96 (1): 48-53. 10.1111/j.1464-410X.2005.05565.x.View ArticlePubMedGoogle Scholar
- Almeida OP, Waterreus A, Spry N, Flicker L, Martins RN: One year follow-up study of the association between chemical castration, sex hormones, beta-amyloid, memory and depression in men. Psychoneuroendocrinology. 2004, 29 (8): 1071-1081. 10.1016/j.psyneuen.2003.11.002.View ArticlePubMedGoogle Scholar
- Aso T, Hanakawa T, Matsuo K, Toma K, Shibasaki H, Fukuyama H, Nakai T: Subregions of human parietal cortex selectively encoding object orientation. Neurosci Lett. 2007, 415 (3): 225-230. 10.1016/j.neulet.2007.01.051.View ArticlePubMedGoogle Scholar
- Shelton AL, Pippitt HA: Motion in the mind's eye: comparing mental and visual rotation. Cogn Affect Behav Neurosci. 2006, 6 (4): 323-332. 10.3758/CABN.6.4.323.View ArticlePubMedGoogle Scholar
- Gizewski ER, Krause E, Wanke I, Forsting M, Senf W: Gender-specific cerebral activation during cognitive tasks using functional MRI: comparison of women in mid-luteal phase and men. Neuroradiology. 2006, 48 (1): 14-20. 10.1007/s00234-005-0004-9.View ArticlePubMedGoogle Scholar
- Jordan K, Wustenberg T, Heinze HJ, Peters M, Jancke L: Women and men exhibit different cortical activation patterns during mental rotation tasks. Neuropsychologia. 2002, 40 (13): 2397-2408. 10.1016/S0028-3932(02)00076-3.View ArticlePubMedGoogle Scholar
- Kimura D: Sex and Cognition. 1999, Cambridge, MA: The MIT PressGoogle Scholar
- Driscoll I, Hamilton DA, Yeo RA, Brooks WM, Sutherland RJ: Virtual navigation in humans: the impact of age, sex, and hormones on place learning. Horm Behav. 2005, 47 (3): 326-335. 10.1016/j.yhbeh.2004.11.013.View ArticlePubMedGoogle Scholar
- Hooven CK, Chabris CF, Ellison PT, Kosslyn SM: The relationship of male testosterone to components of mental rotation. Neuropsychologia. 2004, 42 (6): 782-790. 10.1016/j.neuropsychologia.2003.11.012.View ArticlePubMedGoogle Scholar
- Shelton AL, Pippitt HA: Fixed versus dynamic orientations in environmental learning from ground-level and aerial perspectives. Psychological research. 2007, 71 (3): 333-346. 10.1007/s00426-006-0088-9.View ArticlePubMedGoogle Scholar
- Zitzmann M, Weckesser M, Schober O, Nieschlag E: Changes in cerebral glucose metabolism and visuospatial capability in hypogonadal males under testosterone substitution therapy. Exp Clin Endocrinol Diabetes. 2001, 109 (5): 302-304. 10.1055/s-2001-16351.View ArticlePubMedGoogle Scholar
- Moffat SD, Resnick SM: Long-term measures of free testosterone predict regional cerebral blood flow patterns in elderly men. Neurobiol Aging. 2007, 28: 914-920. 10.1016/j.neurobiolaging.2006.04.001.View ArticlePubMedGoogle Scholar
- Maki PM, Ernst M, London ED, Mordecai KL, Perschler P, Durso SC, Brandt J, Dobs A, Resnick SM: Intramuscular Testosterone Treatment in Elderly Men: Evidence of Memory Decline and Altered Brain Function. J Clin Endocrinol Metab. 2007Google Scholar
- Hinkin CH, van Gorp WG, Satz P, Marcotte T, Durvasula RS, Wood S, Campbell L, Baluda MR: Actual versus self-reported cognitive dysfunction in HIV-1 infection: memory-metamemory dissociations. J Clin Exp Neuropsychol. 1996, 18 (3): 431-443. 10.1080/01688639608408999.View ArticlePubMedGoogle Scholar
- Snitz BE, Morrow LA, Rodriguez EG, Huber KA, Saxton JA: Subjective memory complaints and concurrent memory performance in older patients of primary care providers. J Int Neuropsychol Soc. 2008, 14 (6): 1004-1013. 10.1017/S1355617708081332.View ArticlePubMedPubMed CentralGoogle Scholar
- Mitchell AJ: The clinical significance of subjective memory complaints in the diagnosis of mild cognitive impairment and dementia: a meta-analysis. Int J Geriatr Psychiatry. 2008, 23 (11): 1191-1202. 10.1002/gps.2053.View ArticlePubMedGoogle Scholar
- Jacobs SR, Jacobsen PB, Booth-Jones M, Wagner LI, Anasetti C: Evaluation of the functional assessment of cancer therapy cognitive scale with hematopoietic stem cell transplant patients. J Pain Symptom Manage. 2007, 33 (1): 13-23. 10.1016/j.jpainsymman.2006.06.011.View ArticlePubMedGoogle Scholar
- McDonald BC, Saykin AJ, Ahles TA: Brain Imaging Investigation of Chemotherapy-Induced Neurocognitive Changes. Cancer and Cognition. Edited by: Meyers CA, Perry JR. 2008, New York: Cambridge, 19-32. full_text.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2407/10/1/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.