Implantation of an EEG telemetric transmitter in the rat

Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement

Implantable EEG radiotelemetry is of central relevance in the neurological characterization of transgenic mouse models of neuropsychiatric and neurodegenerative diseases as well as epilepsies. This powerful technique does not only provide valuable insights into the underlying pathophysiological mechanisms, i.e., the etiopathogenesis of CNS related diseases, it also facilitates the development of new translational, i.e., therapeutic approaches. Whereas competing techniques that make use of recorder systems used in jackets or tethered systems suffer from their unphysiological restraining to semi-restraining character, radiotelemetric EEG recordings overcome these disadvantages. Technically, implantable EEG radiotelemetry allows for precise and highly sensitive measurement of epidural and deep, intracerebral EEGs under various physiological and pathophysiological conditions. First, we present a detailed protocol of a straight forward, successful, quick and efficient technique for epidural (surface) EEG recordings resulting in high-quality electrocorticograms. Second, we demonstrate how to implant deep, intracerebral EEG electrodes, e.g., in the hippocampus (electrohippocampogram). For both approaches, a computerized 3D stereotaxic electrode implantation system is used. The radiofrequency transmitter itself is implanted into a subcutaneous pouch in both mice and rats. Special attention also has to be paid to pre-, peri- and postoperative treatment of the experimental animals. Preoperative preparation of mice and rats, suitable anesthesia as well as postoperative treatment and pain management are described in detail.

EEG Radiotelemetry in Small Laboratory Rodents: A Powerful State-of-the Art Approach in Neuropsychiatric, Neurodegenerative, and Epilepsy Research

EEG radiotelemetry plays an important role in the neurological characterization of transgenic mouse models of neuropsychiatric and neurodegenerative diseases as well as epilepsies providing valuable insights into underlying pathophysiological mechanisms and thereby facilitating the development of new translational approaches. We elaborate on the major advantages of nonrestraining EEG radiotelemetry in contrast to restraining procedures such as tethered systems or jacket systems containing recorders. Whereas a main disadvantage of the latter is their unphysiological, restraining character, telemetric EEG recording overcomes these disadvantages. It allows precise and highly sensitive measurement under various physiological and pathophysiological conditions. Here we present a detailed description of a straightforward successful, quick, and efficient technique for intraperitoneal as well as subcutaneous pouch implantation of a standard radiofrequency transmitter in mice and rats. We further present computerized 3D-stereotaxic placement of both epidural and deep intracerebral electrodes. Preoperative preparation of mice and rats, suitable anaesthesia, and postoperative treatment and pain management are described in detail. A special focus is on fields of application, technical and experimental pitfalls, and technical connections of commercially available radiotelemetry systems with other electrophysiological setups.

EEG characterization of audiogenic seizures in the hamster strain GASH:Sal

The study was performed to characterize GASH:SAL audiogenic seizures as true epileptic activity based on electroencephalographic markers acquired with a wireless implanted radiotelemetry system. We analyzed cortical EEG patterns synchronized with video recordings of convulsive behavior of the GASH:Sal hamster following an acoustic stimulus. All GASH:Sal presented archetypal motor symptoms comparable to current animal models of generalized tonic-clonic epilepsy. Seizures consisted of an initial bout of wild running, followed by opisthotonus, tonic-clonic convulsions, tonic limb extension, and terminated in postictal depression. EEG patterns correlated with behavior and displayed phase appropriate spike-wave complexes, low-amplitude desynchronized activity, and high frequency large-amplitude peaks. Our results confirm that electroencephalographic profiles of the audiogenic seizures of the hamster GASH:Sal are parallel to EEG patterns of other animal models of generalized tonic-clonic seizures. Therefore, this animal may serve as an appropriate model for epilepsy research.

Electrocorticographic and deep intracerebral EEG recording in mice using a telemetry system

Telemetric EEG recording plays a crucial role in the neurological characterization of various transgenic mouse models giving valuable information about epilepsies and sleep disorders in humans. In the past different experimental approaches have been described using tethered systems and jacket systems containing recorders. A main disadvantage of these is their sometimes unphysiological, restraining character. Telemetric EEG recording overcomes most of these disadvantages and allows precise and highly sensitive measurement under various physiological and pathophysiological conditions and different stages of consciousness, as during seizure activity and different sleep stages. Here we present the first contiguous, detailed description of a successful and quick technique for intraperitoneal implantation or subcutaneous pouch implantation of a radiofrequency transmitter in mice and subsequent lead placement in both epidural and deep intracerebral position. Preoperative preparation of the mice, suitable anesthesia, as well as postoperative treatment including pain management are described in detail to provide optimal postoperative recovery. Finally, we display examples of electrocorticograms and deep intracerebral recordings, present strategies to maximize signal-to-noise ratio, paying special attention to major pitfalls and possible artefacts occurring in telemetric EEG recording in mice.

Waking EEG power spectra in the rat: correlations with training performance

Adult rats chronically implanted with supradural electrodes were telemetrically EEG recorded during a baseline session, a training session for a two-way active avoidance task, and a retention session. Rats were assigned to a fast learning (FL), slow learning (SL) and non learning (NL) group if they achieved criterion during the training session, the retention session, or in neither session. High-resolution EEG analyses indicated that intergroup differences were present in the low frequency range of waking baseline power spectra. Moreover, baseline delta emissions directly correlated with freezings, and inversely correlated with avoidances, while emissions at 7-10 Hz directly correlated with avoidances and inversely correlated with freezings. Interestingly, during the first training period, waking delta emission selectively increased in FL rats in concomitance with a marked performance improvement; instead, SL and NL rats displayed increments at 7-9 Hz. In addition, freezings scored during the first two training periods directly correlated with post-training waking emission at 2 Hz, and inversely correlated with emission at 7-10 Hz. Conversely, escapes and avoidances directly correlated with waking emission at 7-10 Hz. The data indicate that (i) waking baseline power spectra differ among behavioral groups, and correlate with behavioral performance the following day; (ii) selective modifications of waking power spectra occur in each behavioral group during training; and (iii) behavioral responses during training correlate with post-training waking power spectra. Notably, the delta increment selectively occurring in training FL rats is assumed to reflect online memory processing leading to better performance. The latter observation supports the primary involvement of delta waves in learning.

Evaluation and applications of radiotelemetry in small laboratory animals

Radiotelemetry is the "state of the art" for monitoring physiological functions in awake and freely moving laboratory animals, while minimizing stress artifacts. For researchers, especially those in the fields of pharmacology and toxicology, the technique provides a valuable tool for defining the physiological and pathophysiological consequences derived from advances molecular, cellular, and tissue biology and in predicting the effectiveness and safety of new compounds in humans. There is ample evidence that radiotelemetry systems for measuring physiological functions has been sufficiently validated. Today, the technology is an important tool for collection of a growing number of physiological parameters, for contributing to animal welfare (reduction and refinement alternatives), and for reducing overall animal research costs.

Trains of sleep sequences are indices of learning capacity in rats

In previous work dealing with the identification of four sleep sequences (SS-->W, SS-->PS, SS-->TS-->W and SS-->TS-->PS) in the baseline session of adult male Wistar rats [Mandile P, Vescia S, Montagnese P, Romano F, Giuditta A. Characterization of transition sleep episodes in baseline EEG recordings of adults rats, Physiol Behav 1996;60:1435-1439], we have shown that those containing an intervening episode of transition sleep (TS) strongly correlate with the number of avoidances scored the following day [Vescia S, Mandile P, Montagnese P, Romano F, Cataldo G, Cotugno M, Giuditta A. Baseline transition sleep and associated sleep episodes are related to the learning ability of rats, Physiol Behav 1996;60:1513-152]. More recently, clusters of sleep sequences (trains) separated by waking intervals longer than 60 s have been identified in the baseline session of the same rats [Piscopo S, Mandile P, Montagnese P, Cotugno M, Giuditta A, Vescia S. Identification of trains of sleep sequences in adult rats, Behav Brain Res, this volume], and distinguished in homogeneous or mixed trains according to the presence of a single sleep sequence or more than one sequence. Mixed trains have been further separated into trains containing the SS-->TS-->W sequence (+TSW trains) and trains lacking it (-TSW trains). Analysis of the distribution of variables of baseline trains (and of their sleep sequences and components) among fast learning (FL), slow learning (SL), or non-learning (NL) rats, indicates that variables of +TSW trains prevail in FL rats, while variables of -TSW trains prevail in NL rats. In addition, variables of +TSW trains correlate with the number of avoidances of the training session, while variables of -TSW trains do not significantly correlate, or show inverse correlations. Interestingly, sleep sequences such as SS-->W or SS-->TS-->W show direct or inverse correlations with avoidances depending on whether they are included in +TSW trains or in -TSW trains. The data are interpreted to suggest that the outcome of brain operations performed during a sleep sequence may selectively condition the appearance of later sequences within a time interval shorter than a given threshold. An analogous mechanism may be responsible for the aggregation of sleep components in sleep sequences.

Identification of trains of sleep sequences in adult rats

In previous studies based on high resolution EEG analyses of the 7 h baseline session of 18 adult male Wistar rats [6,14], we have identified four sleep sequences initiating with slow wave sleep (SS) and terminating with waking (W) or paradoxical sleep (PS). Two of these sequences contained an intervening episode of transition sleep (TS). Several variables of these sequences (SS-->W, SS-->TS-->W, SS-->TS-->PS, and SS-->PS) were selectively correlated with the capacity of rats to learn a two-way active avoidance task the following day, and were differently distributed in fast learning, slow learning and non learning rats [21]. The temporal organization of different sleep components in sequences suggested that a comparable temporal organization might concern the different sleep sequences, albeit on a longer time scale. We have now used waking periods longer than 60 s to separate clusters of baseline sleep sequences (trains) in the same rats. Trains containing the same sleep sequence (homogeneous trains) have been distinguished from trains containing different sleep sequences (mixed trains). In addition, mixed trains including the SS-->TS-->W sequence (+TSW trains) have been separated from mixed trains lacking that sequence (-TSW trains). Mixed trains of the +TSW type were longest and most numerous, while homogeneous trains were shortest and least abundant. Mixed trains of the -TSW type displayed intermediate values. Several variables of sleep sequences and sleep components differed within mixed trains and among mixed and homogeneous trains. The data indicate that baseline sleep sequences aggregate in relatively long strings in a non random fashion. The mechanism of this association is discussed.

Post-trial sleep sequences including transition sleep are involved in avoidance learning of adult rats

High resolution computerized EEG analyses, and behavioral observations were used to identify slow wave sleep (SS), paradoxical sleep (PS) and transition sleep (TS) in adult male Wistar rats exposed to a session of two-way active avoidance training. Of the four sleep sequences that could be identified, two included TS (SS-->TS-->W and SS-->TS-->PS), while the other two did not (SS-->W and SS-->PS). Comparison of post-trial sleep variables between fast learning rats (FL, reaching criterion in the training session), slow learning rats (SL, reaching criterion in the retention session the following day), and non learning rats (NL, failing to reach criterion) indicated that the total amounts of SS, TS and PS of the SS-->TS-->PS sequence was markedly higher in FL rats than in SL rats. In addition, in comparison with the corresponding baseline period, the average duration and total amount of SS and TS episodes of the SS-->TS-->PS sequence increased in FL rats, while the number of SS-->TS-->W sequences decreased. On the other hand, the average duration of SS episodes increased in the SS-->TS-->W and SS-->W sequences of SL rats, and in the SS-->W and SS-->TS-->PS sequences of NL rats. Correlative analyses between number of avoidances and post-trial sleep variables demonstrated that avoidances were directly correlated with the duration of SS episodes of the SS-->TS-->PS sequence and with the duration of TS episodes of the SS-->TS-->W sequence, but inversely correlated with the number and amount of SS episodes of the SS-->W sequence and with the duration and amount of SS episodes of the SS-->PS sequence. On the whole, the data supported the view that TS-containing sleep sequences are involved in long-term storage of novel adaptive behavior, while sleep sequences lacking TS are involved in the maintenance of innate behavioral responses.

Post-trial sleep in old rats trained for a two-way active avoidance task

Nine male Wistar rats aged 27 months were trained for a two-way active avoidance task and tested for retention the following day. At variance with young adult rats, most of which succeed in mastering the task, all old rats displayed a large majority of freezing responses throughout the training and the retention sessions, thereby confirming the condition of learning impairment of aged rats. Comparison of baseline and post-trial sleep indicated the presence of a transient, but marked, increment in the average duration and total amount of post-trial slow-wave sleep followed by waking, and of a decrease in total amount of quiet waking. On the other hand, variables of paradoxical sleep and of slow-wave sleep followed by paradoxical sleep or by transition sleep did not show significant variations. Because these sleep variables are known to undergo significant variations in learning in young adult rats, the present data confirm that the latter effects are related to memory-processing events rather than to nonspecific effects of training. An additional outcome of training consisted in a marked post-trial decrement in the number of spike-wave discharges, which are known to occur in old rats during periods of quiet waking.

Characterization of transition sleep episodes in baseline EEG recordings of adult rats

By scoring 5-s EEG epochs and calculating spectral power of consecutive EEG segments as short as 1-s, transition sleep (TS) episodes were identified in baseline recordings of adult rats. TS episodes were characterized by the abrupt appearance of theta and alpha waves within an ongoing period of slow-wave sleep (SS). They were followed by paradoxical sleep (PS) or, somewhat more frequently, by a period of wakefulness (W) that often led to an additional SS. Statistical values of the main variables of TS-->(W) and TS-->(PS) episodes are presented, together with comparable data concerning previous SS and following W or PS episodes. On the whole, TS episodes were more numerous than PS episodes, and less numerous than SS episodes. Their average duration was considerably shorter. As a consequence of the identification of TS and of brief W or PS epochs intervening within SS, the number of SS episodes was estimated to be considerably higher than previously assessed, and their average duration considerably shorter.

Baseline transition sleep and associated sleep episodes are related to the learning ability of rats

The EEGs of 18 adult male Wistar rats were recorded during a baseline session lasting 7 h (day 1). The following day, rats were trained for a 2-way active avoidance task in an automated shuttle-box. A retention test was scheduled on the third day. On the basis of the number of avoidances scored during the training and retention sessions, rats were assigned to a fast-learning group (FL; achieving criterion during the training session), a slow-learning group (SL; achieving criterion in the retention test session), and a nonlearning group (NL; failing to achieve criterion). Vigilance states were determined by analyzing EEG data in 5-s epochs and calculating EEG power spectra of consecutive time intervals as short as 1 s. This high-resolution method led to the identification of transition sleep episodes that followed slow-wave sleep (SS) and were followed by waking (TS-->W) or by paradoxical sleep (TS-->PS). Comparison of the baseline sleep variables of the 3 behavioral groups revealed the presence of several significant differences. These observations were confirmed by the results of correlative analyses between baseline sleep variables and number of avoidances scored during the training and retention sessions. The most reliable indices of the capacity to learn the avoidance task were the amounts of SS preceding the TS-->W or the TS-->PS sequence, and the amounts of either component of the latter sequence. These variables displayed markedly higher values in FL rats. In addition, the amount of SS preceding TS-->W and the amount of TS-->(W) were significantly correlated with the number of avoidances scored during the training session. On the other hand, 1' SS-->(PS) and (SS)-->PS episodes were longer in NL rats than in SL or FL rats, respectively; and 2, the duration of SS-->(PS) episodes was inversely correlated with the number of avoidances of the first training period. The data are interpreted to suggest that TS and associated sleep episodes may predict the acquisition of the avoidance task, and the episodes of SS-->PS not associated with TS may predict the retention of innate responses, such as freezings or escapes.