Abstract
Infants born prematurely are at risk for cardiovascular events causing hypoxia ischemia (HI; reduced blood and oxygen to the brain). HI in turn can cause neuropathology, though patterns of damage are sometimes diffuse and often highly variable (with clinical heterogeneity further magnified by rapid development). As a result, though HI injury is associated with long-term behavioral and cognitive impairments in general, pathology indices for specific infants can provide only limited insight to individual prognosis. The current paper addresses this important clinical issue using a rat model that simulates unilateral HI in a late preterm infant, coupled with long-term behavioral evaluation in two processing domains -- auditory discrimination, and spatial learning/memory. We examined whether: (1) deficits on one task would predict deficits on the other (suggesting that subjects with more severe injury perform worse across all cognitive domains); or (2) domain-specific outcomes among HI injured subjects would be uncorrelated (suggesting differential damage to orthogonal neural systems). All animals (sham and HI) received initial auditory testing and were assigned to additional auditory testing (Group A), or spatial maze testing (Group B). This allowed correlation within-task (A) and between-task (B). Anatomic measures of cortical, hippocampal, and ventricular volume (indexing HI damage) were also obtained, and correlated against behavioral measures.
Results showed that auditory discrimination in the juvenile period was not correlated with spatial working memory in adulthood (Group B), in either sham or HI rats. Conversely, early auditory processing performance for Group A HI animals significantly predicted auditory deficits in adulthood (p=.05; no correlation in shams).
Anatomic data also revealed significant relationships between the volumes of different brain areas within both HI and shams, but anatomic measures did not correlate with any behavioral measure in the HI group (though we saw a hippocampal/spatial correlation in shams, in the expected direction). Overall, current data provide an impetus to enhance tools for characterizing individual HI-related pathology in neonates, which could provide more accurate individual prognoses within specific cognitive/behavioral domains and thus improved patient-specific early interventions.
Keywords: Rapid auditory processing, spatial working memory, hypoxia ischemia, correlation, rodent model, neural substrates, neurobehavioral, preterm
INTRODUCTION
Premature infants (<37 weeks gestational age (GA)), and infants born at very low birth weight (VLBW; <1500 grams), are at risk for hypoxic ischemic brain injury (HI; lack of blood and/or oxygen) [1, 2]. The fragility of under-developed neurovascular systems (particularly < 32-34 GA) can lead to intra-cranial bleeding (e.g., intraventricular/ periventricular hemorrhage) [3-5], and ischemic events (e.g., reperfusion failure) [3, 6-8]. Both injuries can cause white matter damage (e.g., periventricular leukomalacia), reflecting the susceptibility of preoligodendrocytes (preOLS) to oxidative stress in the mid-to-last trimester [9, 10], with an elevated risk in the extremely premature infant. HI can also occur in the late preterm infant (34-37 GA), but here more often manifests as gray matter injury since these regions are undergoing rapid development from 34 weeks to term (11).
Preterm infants with HI are also at risk for developmental disorders including delayed cognitive processes [12-14], speech/language delays [13-16], lower IQ scores [14, 17, 18], spastic cerebral palsy (CP), and memory deficits associated with impaired executive function [19-21]. Though clinicians can speculate about specific developmental impairments that might be expected for individual patients, it remains challenging to predict patient-specific patterns of outcome from the general indices that have been developed to capture the variable and sometimes diffuse nature of neonatal HI-related neuropathology.
One commonly reported deficit following HI involves impairments in auditory processing, which have been suggested to contribute to language disabilities. Specifically, deficits in rapid auditory processing (RAP) are seen in populations with or at-risk for HI (e.g., premature infants; [22-24]), and these in turn predict language problems -- both in children with HI insult and in other at-risk infants [15, 16, 25, 26]). This relationship is thought to reflect the fact that discrimination of rapidly changing sound stimuli, speech, or non-speech stimuli (within tens of milliseconds) is critical to emergent speech perception/production [15, 27, 28].
Memory impairments are also seen in children with HI, and these can be co-morbid with auditory speech/language deficits. Research has shown that VLBW children display lower global and performance IQ, coupled with impairments in verbal fluency and expressive/receptive language at 1-7 years [29, 30]. Working memory deficits are also associated with language impairments, consistent with the important role of phonological working memory in language [31]. This comorbidity of HI-related impairments across a broad range of tasks and domains presents a particular impediment to the study of more delineated neurobehavioral associations.
Fortunately, animal models can be used to model HI injury and subsequent behavioral impairments. One well-established rodent HI model (Rice-Vannucci) entails injury induced on postnatal day (P) 7 [32-34]. Although originally thought to simulate term HI (GA 38-40), this model has more recently been thought to simulate late preterm injury, consistent with tissue loss primarily in gray matter and variable amounts of white matter damage [35-38]. Notably, this model produces unilateral injury (via cauterization of the right common carotid artery), so the comparison to human pathology (which typically shows bilateral extent) must be qualified. Nonetheless, the P7 HI rat model provides a useful tool to study the associated functional/behavioral deficits that follow neonatal HI. In fact, studies of P7 HI in rodents show behavioral deficits analogous to those observed clinically, validating long-term neurobehavioral applications. P7 HI male rats show deficits on a rapid auditory processing (RAP) task in both pre-pubertal and adult periods, indicating that deficits persist over time [39-42]. Similarly, deficits on spatial and working memory tasks have been reported in P7 HI rats on a Morris water maze, as well as a more difficult delayed-match-to-place radial maze (used to assess spatial learning and working memory, respectively; [29, 41-43]). The current study sought to explore and replicate well-studied deficits in spatial working memory and RAP in male rats subjected to HI injury on P7. In addition, the study was designed to assess: (1) within-task correlations between juvenile and adult RAP ability; and (2) between-task correlations for juvenile RAP and working memory (as assessed in adulthood). Analyses also examined correlations across histological and behavioral measures (shams and HI's separately). To our knowledge, such long-term outcome correlations have not been assessed in any model of neonatal HI injury. We hypothesized a replication of deficits in RAP and spatial working memory deficits in P7 HI rats, and also that early auditory processing scores would predict subsequent auditory outcomes (in adulthood) -- particularly in HI-injured subjects. Finally, we sought to determine whether early scores in one domain could predict subsequent outcomes across domains (particularly in HI subjects), consistent with a “general” injury model where subjects performing poorly on one task also perform poorly on the other.
METHODS
Subjects
Time-mated female Wistar rats were delivered to the University of Connecticut vivarium from Charles River (Wilmington, MA) on embryonic day 7 (E7). Dams were housed in tubs (12/12 cycle, food/water ad lib), with birth on E22. Litters were culled (8 males, 2 females) on postnatal day 1 (P1). Male animals were used, due to the more severe behavioral deficits reported in HI male rats [29, 39, 44], but females were retained until weaning to normalize maternal behavior. Pups were weaned on P21 and pair-housed with like-treated littermates. At P49, subjects were single housed for further testing.
Induction of hypoxia-ischemia
Subjects (n=48) were assigned to HI (24) or sham (24) within litter. On P7, male HI animals were anesthetized (isoflourane, 2.5%) and an incision was made in the neck. The right common carotid artery was located and cauterized, the incision was sutured, and pups were placed in a temperature-controlled incubator to recover (see [29,44] for more details). Sham animals were treated similarly but without carotid cauterization. All pups were ID'd by footpad injection, and returned to dams to feed (2 hours). Next, HI pups were placed in an airtight container on a temperature-controlled slide warmer, and exposed to 8% oxygen (balance nitrogen, 120 min). Sham animals were placed in a similar container with room air (120 min). Subjects were then returned to dams until weaning (P21).
Behavioral testing design
All subjects (n=48) were tested on juvenile auditory processing (silent gap (SG) 0-100 ms and SG 0-10 ms) to replicate previous findings [29, 39, 44, 45]. Following testing, animals were randomly split into two Groups (A, B; n=12 sham/HI each). Group A (n=24) received additional adult auditory testing, and Group B (n=23; one animal lost due to seizures) was assessed on an eight-arm radial arm water maze task.
Auditory startle-reduction
The startle reduction paradigm utilizes a subject's acoustic startle reflex (ASR) -- a large motor response to a startle-eliciting stimulus (SES). When the SES is preceded by a pre-stimulus cue, the ASR is reduced, indicating detection of the cue (aka prepulse inhibition, PPI). During testing, each animal was placed on a load-cell platform (PHM-252B; Med Associates) in a black polypropylene cage in a quiet room. Output voltages were amplified (PHM-250-60), acquired (Biopac MP100A-Ce Acquisition system), and displayed as waveforms (AcqKnowledge). Peak values from the 150 ms epoch after the SES served as the subject's response for a given trial. Auditory stimuli were generated via Pentium III Dell PC and Tucker Davis Technologies (RP2) real time processor, and were amplified (Niles SI-1260 Systems Integration) and delivered via Cambridge Soudworks MC100 loudspeakers. Attenuation (ATT) scores were calculated by average cued-trial peak divided by average uncued-trial peak, multiplied by 100 (cued trials/uncued trials x 100; see 46] for additional details). All acoustic tasks used a 50 ms 105 dB white noise burst as SES, with randomized cue presentation and inter-trial intervals (16, 18, 22, or 24 sec).
Normal Single Tone (NST, P29 all animals (n=48))
The normal single tone task consisted of 103 trials (one day/session). For each trial, a 75-dB, 7-ms, 2,300-Hz pre-pulse cue was presented 50-ms before the SES (50-ms 105 dB burst; cued trial) or was absent (uncued trial). ATT scores acted as a measure of cue detectability, with scores closer to 100% indicating poorer performance. This task provided a baseline measure to reveal any hearing or PPI deficits that could affect further testing.
Silent Gap 0-100 (SG, P33-37 for all animals (n=48); P61 for Group A (n=24))
The silent gap detection task consisted of 299 trials using silent gaps embedded in 75 dB broadband white noise as a cue. All animals were tested in the juvenile period (1 session/day for 5 consecutive days), and Group A animals were tested for one day in adulthood. On uncued trials, the SES was presented randomly within the broadband white noise (variable ITI). On cued trials, a silent gap (ranging from 0-100 ms) was presented 50 ms before the SES.
Silent Gap 0-10 (SG, P40-44 (n=48); P62-65 for Group A (n=24))
This silent gap detection task was same as above, with subjects tested 1 session/day for 5 days in the juvenile period, and Group A subjects tested for 4 days in adulthood. Silent gaps of 0-10 ms (instead of 0-100 ms) served as the cue.
Eight arm radial water maze (Group B animals (n=23; P47-128)
Group B subjects were tested on the maze task. For a detailed description of the delayed match to sample eight- arm radial water maze, see [47]. In brief, animals were required to locate and mount a submerged platform located in an eight-arm-radial-water maze. First animals were assessed on an acclimation trial to confirm baseline swimming ability, navigation, and ability to mount the escape platform. On a test day, animals received a forced sample trial where only the start and the goal arm were open, “forcing” the animal to locate the goal platform. After reaching the platform, animals received a 10- minute delay, and then a test trial. Here, the animal was placed in a different start arm, with the goal arm remaining the same, and all arms open. Testing consisted of 4 such sessions a week, for 12 weeks. The goal location and start arm changed daily (sequences of start arms/goal locations varied systematically among 48 patterns), requiring the animal to keep a representation of the new goal arm in working memory. We recorded the number of errors for each trial, as well as latency per arm choice. A complete analysis of outcome data from this task is reported elsewhere [43]. Finally, one day a week, rats were tested on Control trials. During these trials, no forced sample was given, such that animals had to seek and find the platform without being shown the location, thus providing a measure of chance level performance and swimming ability.
Histological analysis
Following completion of testing (P147), animals were weighed and anesthetized with ketamine/xylazine (100 mg/kg/15 mg/kg) and transcardially perfused with 0.9% saline and 10% buffered formalin phosphate. Brains were removed, weighed, and placed in formalin. Before slicing, brains were placed in a 30% sucrose solution for cryoprotection, frozen, and sliced at 60 um using a cryostat. Every third section was mounted and stained (cresyl violet), and every other mounted section was used for analysis. Using StereoInvestigator Microbright Field (MBF) software on an Axio 2 Zeiss Microscope, volumes of the lateral ventricles, hippocampus, and cortex were assessed. The fewest sections were counted to achieve a coefficient of error less than .05 (stereological validity). Volumes were quantified using 100x magnification with Cavalieri's Estimator software and a grid overlay. All measurements were performed blind to Treatment.
Statistical analyses
Statistical analyses were performed using SPSS 19.0 software with an alpha criterion of 0.05, and two-tailed analyses were used unless otherwise stated.
For auditory scores, a one-way analysis of variance (ANOVA) was initially performed to examine Treatment effects on the NST task. A lack of significance confirmed that sham and HI subjects (n=24/24) had equivalent hearing and PPI. We also assessed cue detection within each group (cued vs. uncued) to confirm detection (paired samples t-tests). Further repeated measures ANOVAs were performed on mean ATT scores for silent gap tasks in juveniles (all animals) and adults (Group A), to assess Treatment effects (see Results). Notably, to confirm equivalency of Group assignment, we analyzed auditory scores obtained from all subjects in the juvenile period only (NST, SG 0-100, SG 0-10) as a function of Group/Treatment. These analyses confirmed equivalency of A/B sham and A/B HI sub-groups (repeated measures ANOVA, Tukey tests), thus confirming that we did not preferentially select poor performing animals for one subgroup or another.
For the eight-arm radial water maze task, errors per trial across days within 12 testing weeks were averaged into 6 Blocks, with scores for each block representing mean errors for a 2 week test period (i.e., 2 weeks = 1 block). A repeated measures ANOVA was performed on average errors made for Group B HI and Sham animals. Additionally, average latency per choice for each test trial was calculated as total latency to goal divided by errors + 1 (goal arm), and this measure was analyzed by Block (repeated measures ANOVA, see Results). Control trial data was also analyzed to confirm equivalent swimming ability, and no Treatment effects were seen in either Block, confirming that subsequent HI deficits did not reflect impaired swimming.
Bi-variate correlations (Pearson's r) were also performed using previously determined factors extracted from a varimax rotation factor analysis of behavioral measures. Six factors were extracted and correlated as follows: short auditory gaps, long auditory gaps, errors in 1st half of maze task, errors in 2nd half of maze task, latency per choice in 1st half of maze task, and latency per choice in 2nd half of maze task. These factors were correlated in HI and sham animals separately within each group (see Results).
Finally, to assess neuropathology, volumetric measures of right and left hippocampus, cortex, and ventricles were analyzed via individual repeated measures ANOVAs (HI=22, Sham=22). Two HI and 2 sham animals were excluded from these analyses due to compromised tissue. To assess correlations between anatomy and behavior for HI animals, we calculated a damage ratio score for each brain area (cortex, hippocampus and ventricles) as follows: right volume divided by left volume (R/L) x 100. Using these asymmetry measures, we performed additional bivariate correlations with the behavioral factors listed above (short auditory gaps, long auditory gaps, errors in 1st half of maze task, errors in 2nd half of maze task, latency per choice in 1st half of maze task, and latency per choice in 2nd half of maze task) to indicate whether damage in one brain area was correlated to task performance. For shams, we used a total volume measure (right volume + left volume) for each brain area, and correlated these values with the same behavioral factors as HI animals (since damage indices were not relevant to shams).
RESULTS
Normal Single Tone P30 (all animals)
Both groups exhibited significant detection of the NST as shown by paired samples t-tests (HI: t(23)=6.232, p<.001; sham: t(23)=3.741, p<.002), with attenuation scores significantly lower on cued trials for both groups of animals. A one-way analysis of variance (ANOVA) for Treatment revealed no significant differences [F(1, 47)= 2.129, p>.05] (data not shown), confirming all animals showed PPI and normal hearing. Therefore, any differences in subsequent auditory tasks could be assumed to reflect deficits in processing specific stimuli.
SG 0-100 & SG 0-10 Juvenile P33-P37 (all animals; Figure 1a and b)
Figure 1.
A. A 5 (Day) x 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA revealed a significant overall Treatment effect with HI animals performing worse on a Silent Gap 0-100 task (p<.05). B. A 5 (Day) x 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA revealed a significant overall Treatment effect with HI animals performing worse on a Silent Gap 0-10 task (p <.05)
A 5 (Day) x 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA assessing juvenile attenuation scores on SG 0-100 revealed a significant overall Treatment effect, with HI animals performing worse than Shams [F(1,44)=7.252, p<.05; (Figure 1A)]. We also found a significant Gap x Treatment effect, indicating that HI animals performed worse than Shams on specific Gaps (all subjects unable to detect 2 ms) [F(8,44)=2.108, p<.05].
A 5 (Day) x 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA assessing juvenile attenuation scores on SG 0-10 also revealed a significant overall Treatment effect, with HI animals performing worse than Shams [F(1,46)=9.595, p<.005; (Figure 1B)]. We also found a significant Gap x Treatment effect, indicating that HI animals performed worse than Shams on specific Gaps (again with poor performance by all subjects on 2-3 ms gaps) [F(8,46)=5.114, p<.001].
SG 0-100 & SG 0-10 Adulthood P61-P65 (Group A; Figure 2a and b)
Figure 2.
A. A 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA revealed a significant overall Treatment effect with HI animals performing worse on a Silent Gap 0-100 task during adulthood (p<.05). B. A 5 (Day) x 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA revealed a significant overall Treatment effect with HI animals performing worse on a Silent Gap 0-10 task during adulthood (p<.05).
For Group A animals, a 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA revealed a significant overall Treatment effect with HI animals performing worse than Shams on SG 0-100 [F(1,22)=4.458, p<.05; (Figure 2a)]. We also found a significant Gap x Treatment effect, indicated that HI animals performed worse than Shams on specific Gaps (no detection of 2 ms) [F(8,22)=2.146, p<.05].
Additionally, a 5 (Day) x 9 (Gap) x 2 (Treatment; HI and Sham) repeated measures ANOVA revealed a significant overall Treatment effect with HI animals performing worse than Shams on the SG 0-10 task [F(1,22)=6.969, p<.05; (Figure 2b)]. Again we found a significant Gap x Treatment effect indicating that HI animals performed worse than Shams on specific Gaps [F(8,22)=2.174, p<.05].
Correlation results (Group A; data not shown)
A bivariate correlation to assess performance on silent gap tasks in juveniles vs. adults for sham animals did not reveal any significant correlations for within-subject performance across age. However, within the juvenile period, performance on long and short duration silent gaps were positively correlated (p<.05). In adulthood, performance on long and short duration silent gaps were again positively correlated (p<.005). A similar analysis for HI animals, on the other hand, revealed a significant positive correlation between performance on long duration silent gaps in the juvenile period and performance on long duration silent gaps in adulthood (p=.05). Additionally, performance on long and short duration silent gaps were correlated in the juvenile period (p<.005), and in adulthood (p<.005), in HI animals. These results are not shown but parallel identical within-task correlations observed in Group B (Figure 3 & 4)
Figure 3.
A bi-variate correlation (Pearson's r) for sham animals revealed significant positive correlations between performance on short and long duration silent gaps (p<.05). Significant positive correlations were also seen between the 1st and 2nd half of maze testing in regards to errors made (p<.05). Latency per choice analyses showed a trend to be significantly positively correlated during the 1st and 2nd half of maze testing (p=.065). Significant negative correlations were also seen between latency per choice analyses on 1st half of maze testing and errors during the 2nd half of maze testing (p=.075), as well as latency per choice analyses on 2nd half of maze testing and errors during the 2nd half of testing (p<.05). Percent hippocampal damage was positively correlated with errors on both the 1st (p<.05) and 2nd (p<.05) half of the maze. Percent ventricular damage correlated negatively with errors in only the 1st half of the maze (p<.05).
Figure 4.
A bi-variate correlation (Pearson's r) for HI animals revealed a trend for a significant correlations between performance on short and long duration silent gaps (p<.07). Cortical and hippocampal damage was positively correlated (p<.05), whereas cortical and ventricular damage was significantly negatively correlated (p<.05). Hippocampal damage and ventricular damage were also significantly negatively correlated (p<.05). All other comparisons were not significant.
Eight Arm Radial Water maze task (Group B)
Latencies to mount a visible platform in a water escape task as well as control trials throughout testing revealed no differences between HI and sham groups, indicating all animals (regardless of HI injury) could swim. An in-depth evaluation of analyses on sub-measures of maze performance as a function of Treatment is reported elsewhere ([43], Study 2). In brief, a 6 (Block) x 2 (Treatment) repeated measures ANOVA revealed a significant overall Treatment effect for average errors [F(1,21)=8.028, p<.05], with HI performing worse. An additional 6 (Block) x 2 (Treatment) repeated measures ANOVA assessing latency per choice also revealed a significant overall Treatment effect [F(1,21)=7.181, p<.05], indicating that HI animals took less time to make an arm choice compared to shams (see [43] for discussion), a possible reflection of impulsivity.
Correlation results (Group B; Figure 3 & 4)
A bivariate correlation to assess juvenile performance across auditory tasks in Group B sham animals also revealed significant positive correlations (p<.05; as seen in Group A). There were no significant within-subject correlations between juvenile auditory scores and adult maze indices, for any measure examined. Errors made in the 1st and 2nd half of maze testing were also significantly positively correlated, while 1st and 2nd half latency per choice analyses approached significance (p<.05; p=.065, respectively, shams only). Additionally, both 1st and 2nd half latency per choice analyses significantly correlated negatively with errors during the 2nd half of maze testing (i.e., longer latencies on both the 1st and 2nd half of testing associated with fewer errors on the 2nd half of testing; p=.075, p<.05, respectively). This pattern was not seen when examining errors in the 1st half of maze testing (i.e., 1st and 2nd half latency per choice performance was not correlated with errors in the 1st half of maze testing). Taken together, we interpret that sham animals that took longer to make an arm choice were more accurate in maze performance. For HI animals, a similar analysis revealed a trend for significant positive correlations between performance on long vs. short duration silent gaps in the juvenile period (p=.07). No significant correlations (positive or negative) were found between performance on auditory tasks and the maze task (i.e., neither performance on long or short duration silent gaps correlated with latency or error measures on the maze). In addition, within the maze task, 1st and 2nd half latencies were not correlated, nor were latency and/or error measures correlated within or across testing blocks (1-3 vs. 4-6).
Histological results (Figures 5-7)
Figure 5.
An overall 2 (Hemisphere) x 2 (Treatment) repeated measures ANOVA revealed a significant Treatment effect where HI animals had significantly smaller overall cortical volume as compared to Shams (p<.05). We also found significant Hemisphere [*p<.05] and Hemisphere x Treatment (p<.005) effects, indicating that HI animals had smaller right cortical volumes than shams.
Figure 7.
A 2 (Hemisphere) x 2 (Treatment) repeated measures ANOVA revealed a significant Hemisphere x Treatment effect (p<.005) where HI animals had significantly larger right ventricular volumes as compared to shams.
An overall 2 (Hemisphere) x 2 (Treatment) repeated measures ANOVA to assess right and left cortical volume in HI and Sham animals revealed a significant Treatment effect with HI animals having significantly smaller cortical volumes as compared to Shams [F(1,42)=4.615, p<.05] (Figure 5). We also found a significant Hemisphere [F(1,42)=8.172, p<.05] and Hemisphere x Treatment [F(1,42)=13.437, p<.005] effect, indicating that HI animals had smaller right cortical volumes than shams. A similar effect was seen when examining hippocampal volume, where a 2 (Hemisphere) x 2 (Treatment) repeated measures ANOVA revealed a significant overall Treatment effect [F(1,42)=4.491, p<.05], as well as a significant Hemisphere [F(1,42)=13.594, p<.005] and Hemisphere x Treatment effect [F(1,42)=9.669, p<.005] (Figure 6). Finally, a 2 (Hemisphere) x 2 (Treatment) repeated measures ANOVA of ventricular volume revealed a significant Hemisphere x Treatment effect [F(1,42)=10.261, p<.005], with HI animals showing significantly larger right ventricular volumes as compared to shams (Figure 7).
Figure 6.
A 2 (Hemisphere) x 2 (Treatment) repeated measures ANOVA revealed a significant overall Treatment effect (p<.05), as well as significant Hemisphere (*p<.005) and Hemisphere x Treatment effect (p<.005).
Histological Correlations (Figure 3 & 4)
Finally, a bivariate correlation was performed using the factors extracted from the varimax rotation (short auditory gaps, long auditory gaps, errors in 1st half of maze task, errors in 2nd half of maze task, latency per choice in 1st half of maze task, and latency per choice in 2nd half of maze task) and the damage ratio scores for the cortex, hippocampus and ventricles in HI animals. Since this measure was not meaningful in shams, we used a total (left + right) volume score for each of the 3 structures. For sham animals, total hippocampal volume negatively correlated with errors on the first half of the maze (p<.05). Additionally, ventricular volume correlated positively with errors in the first half of the maze and negatively correlated with total cortical volume (p<.05, p<.005, respectively; see Figure 3). Conversely, the correlation analysis for damage indices in HI animals revealed significant positive correlations between cortical and hippocampal damage (p<.002), as well as significant negative correlations between cortical volume and ventricular damage (p<.005), and hippocampal and ventricular damage (p<.05; see Figure 4). No significant correlations were seen between anatomy and behavior in the HI group.
DISCUSSION
The current study utilized an animal model of P7 HI injury, and sought to replicate previously reported rapid auditory processing impairments in male P7 injured rodents on a silent gap detection task, as well as to investigate whether early auditory deficits predict auditory deficits in adulthood. In addition, we sought to examine memory impairments on the delayed match-to-position eight-arm radial water maze paradigm, and correlate performance on this task with early auditory processing scores. Here, we hypothesized that performance in the two domains could be related, since auditory and memory impairments typically co-occur following an HI insult (possibly reflecting a general severity of injury effect across domains [31, 48]). We also sought to determine whether damage in specific brain areas correlated with performance on specific behavioral tasks, as might be expected. Results provide interesting and novel evidence in support of two orthogonal neural systems underlying auditory processing and memory.
Replication of auditory processing deficits and Group A correlations
In accord with our hypotheses, we replicated auditory processing deficits in male P7 HI rodents. Specifically, all male HI animals performed significantly worse overall than male shams on both versions of the silent gap detection task. This significant deficit was apparent on long silent gaps (SG 0-100; see Figure 1a) and short silent gaps (SG0-10; Figure 1b). Moreover, overall significant adult deficits were seen (Group A) on SG 0-100 and SG 0-10 (HI subjects again significantly impaired compared to shams; Figure 2a and b). This finding is consistent with prior evidence that behavioral HI deficits persist into adulthood [39, 41-43, 45], suggesting a lack of recovery of function in P7 HI animals. This is supported by correlations that reveal a significant correlation for performance on long duration silent gaps in the juvenile and long duration silent gaps in adulthood, in HI animals (p=.05). These results are important given clinical research showing that deficits in rapid auditory processing contribute to language deficits as children age [22, 49, 50].
Deficits on an 8-arm radial water maze
Our hypotheses were also supported in regards to the delayed match-to-position eight-arm radial water maze task. Here, male HI animals made significantly more errors overall (indicative of a memory impairment) as compared to shams (Group B; see Figure 3; results discussed elsewhere [43]). Congruent with auditory results, these findings indicate that behavioral deficits following HI persist into adulthood. Again, the clinical literature is consistent, with substantial evidence pointing to persistent memory deficits in children that undergo an HI insult [50-53]. In fact, these cognitive deficits may even be more evident as affected children reach school age, due to the more complex memory tasks and skills required [54].
Behavioral correlations between auditory and maze tasks (Group B)
An important aspect of the current study was the ability to assess whether impairments on an auditory task in the juvenile period were correlated with impairments on the match-to-position eight-arm radial maze task in adulthood. Our rationale for exploring this relationship derives from clinical literature indicating that memory and auditory impairments are often co-morbid in infants who suffer an HI insult [48, 50, 55]. We examined this issue by examining data from Group B subjects, who were tested on both paradigms. Surprisingly, two separate bivariate correlations for HI and sham animals did not reveal any significant positive or negative correlations for performance on the two different tasks (see Figure 3 & 4). This finding implies that the underlying mechanisms responsible for auditory processing and spatial memory are orthogonal (i.e., deficits or superiority in one area are not predictive of deficits or superiority in another), in both groups of animals. Moreover, it provides insight to our initial question regarding whether HI subjects show domain-specific deficits, or cross-domain impairments that are strongly inter-correlated. Our findings suggest that when considering HI damage in the clinical population (where pathology is notably variable), deficits in one behavioral domain may not predict deficits in another behavioral domain [56, 57].
Bivariate correlations also revealed that performance on both adult auditory processing tasks (SG 0-100 and SG 0-10) were positively correlated in both HI and Sham animals. This finding supports the presence of a neural sub-system subserving gap detection which functions orthogonally to systems subserving spatial memory. Importantly, Group A's auditory processing data supports a within-domain correlation, with long and short duration silent gap performance correlating within and across time points (juvenile and adult). This offsets arguments that maze indices failed to correlate with earlier auditory scores in Group B simply because animals were older, and affirms the within-domain stability and reliability of auditory factors.
In regards to internal task stability/validity within our maze task, (Group B) sham animals revealed that both measures within the maze task (first and second half errors and latency per choice) were correlated, with first and second half latencies approaching a significant correlation (p=.065; see Figure 3). Additionally, in the second half of testing, number of errors correlated with the first and second half latency per choice measure. However, unlike auditory factor correlations, both first and second half latencies correlated negatively with errors in the second half of testing. Specifically, longer latencies per choice were associated with fewer errors, suggesting that subjects who took longer to make a choice were more accurate, a finding discussed elsewhere [43]. Taken together, the correlations within and between measures on the maze task also displayed internal validity.
In contrast to sham animals, latency per choice and errors were not correlated for HI animals, indicating that these two measures are independent of one another and animals were not taking more time to make more accurate choices. Perhaps a third orthogonal system subserving attention leads to greater accuracy in less impulsive subjects. Given overall shorter latencies among HI subjects despite more errors made compared to shams (data discussed in [43]), this attention system could be disrupted in HI subjects and could relate to impulsivity characteristics that have been previously reported in the P7 HI model [43, 58-60]. However, while “attention” (as indexed by longer latencies per choice) may predict better performance/fewer errors in shams, this association does not appear to be significant on a within-subject basis in the HI group. Possibly, optimal functioning of attentional system in otherwise healthy (uninjured) rats might predict performance on complex tasks, while damage to this system coupled with co-morbid impairments may mask the association within the HI subject group.
Anatomical results and anatomy/behavior correlations
Anatomic results were consistent with prior reports from our lab, which showed that the hippocampus, cortex and ventricles of HI animals were all significantly compromised compared to sham animals [29, 41-43, 45]. Photomicrographs depict the severity of the HI injury in this study, but also indicate substantial variability (Figure 8). Consistent with prior literature, we found that HI animals displayed significantly smaller right hippocampal and cortical volumes, and larger right ventricular volumes (as shown by a Hemisphere x Treatment interaction; see Figures 5-7). However, when assessing whether hippocampal, cortical or ventricular volume correlated with auditory and memory impairments, we found no significant correlations in HI animals. For shams, we found a significant negative correlation between hippocampal volume and errors in the first half of the maze. This is consistent with overwhelming evidence that the hippocampus is associated with memory processing (61). In addition, the significant positive correlation between ventricular volume and errors in the first half of the maze, as well as the significant negative correlation between ventricular volume and cortical volume, support the inverse relationship between increased ventricle size and smaller cortical/hippocampal volumes.
Figure 8.
Representative photomicrographs of Nissl stained coronal sections representing a typical sham brain (A), mild HI damage (B), moderate HI damage (C), and severe HI damage (D).
These anatomical anomalies are also consistent with clinical reports of significant changes in these brain areas in children born prematurely. For example, studies have shown that VLBW children displayed smaller thalamic and hippocampal volumes than control children, and also show anomalies in the dorsolateral prefrontal cortex that could potentially relate to working memory deficits [62]. Other studies point to ventral hippocampal lesions, as well as cortical lesions, as possible factors in later cognitive and behavioral deficits (e.g., memory and auditory processing deficits [63, 64]). Future studies should examine more focal brain indices (for example, cellular parameters in auditory structures, or connectivity in the prefrontal-striatal pathways), which may ultimately reveal more meaningful correlations between anatomy and behavior in P7 HI animals and also in clinical populations. Given the common use of gross measures of overall neonatal brain damage, the development of more precise and individualized neuropathologic profiles could be profoundly useful in the prognosis of individual outcomes, and also in the selection of patient-specific interventions.
CONCLUSION
In closing, the current study successfully replicated previously reported auditory processing deficits in a P7 HI model, as well as memory impairments in a match-to-position eight-arm radial water maze task. We show that HI animals exhibited deficits persisting into adulthood, including auditory impairments (Group A HI animals) and memory impairments (Group B HI animals). In addition, we found that early auditory processing deficits predict later auditory processing deficits in adulthood (Group A HI animals). These combined findings are consistent with clinical reports of similar behavioral deficits in children suffering from HI insult. Finally, the most interesting finding in the current study is that auditory processing deficits are not correlated with memory deficits in HI subjects. This was surprising since these same cross-domain impairments often co-occur in clinical populations. However, our results suggest that HI can differentially affect independent neural systems, and the degree/pattern of domain-specific injury may be quite variable between subjects (i.e., impairments in one cognitive domain might not be predictive of deficits in another cognitive domain). Future research should investigate specific brain regions known to be associated with auditory and memory processes in clinical HI populations and in animal models, to advance our understanding of specific HI effects on neurobehavioral domains. Such findings would allow clinicians to provide more specific predictions regarding long-term patterns of deficits, along with tailored interventions. Overall, the current results pave the way for further studies to assess brain indices that may be predictive of domain-specific cognitive deficits (rather than a general cross-domain severity of impairment prognosis) following neonatal HI in the clinical population.
Acknowledgements
The authors would like to thank all the undergraduates who assisted with behavioral testing. This research was supported by NIH grant HD049792, and internal funding from the University of Connecticut Research Foundation to RHF.
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