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Herbal Treatments for ECS-Induced Memory Deficits: A Review of
Research and a Discussion on Animal Models
Chittaranjan Andrade, M.D., S. Sudha, Ph.D.,
and B. V. Venkataraman, Ph.D.
The Journal of ECT
16(2):144-156 0 2000
Summary: During the last decade the use of
herbal medicinal substances in the attenuation of anterograde and retrograde
amnesia induced by electroconvulsive shock (ECS) has been studied using animal
research. We will discuss the background of herbal medicine in India, review
the research findings on herbal medicines for ECS-induced amnestic deficits,
and examine the applications and limitations of animal models in this context.
We will focus on our own research and insights, with particular emphasis on
practical issues.
Electroconvulsive therapy (ECT) is associated
with anterograde and retrograde amnestic deficits that can, in certain cases,
be severe, persistent, or both (Abrams, 1997). Several pharmacological
treatments have been suggested to reduce such deficits, but in general the
results have been disappointing (Andrade, 1990; Krueger et al., 1992; Nobler
and Sackeim, 1993). In recent years, studies have explored the antiamnestic
efficacy of herbal medicines in the context of animal models of ECT (Andrade,
1995). This paper will briefly introduce the practice of herbal medicine in
India, summarize the studies that have examined herbal attenuation of amnestic
deficits induced by electroconvulsive shocks (ECS), and discuss the application
and limitations of animal models in the context of such research.
Herbal Medicine and Its Practice in India
Systems of herbal medicine are practiced in
traditional societies in many parts of the world; allopathic science may gain
much from the study of such systems. Several important allopathic drugs, such
as digitalis, quinine, and atropine, originated from plant sources;
psychiatrists need no reminding that over half a century ago, the (Indian)
herbal pharmacopoeia contributed reserpine to modern medicine. The need to
study the psychotropic properties of herbal drugs is recognized even in
developed societies; for example, clinical research on St. John's Wort was
recently reviewed in the British Medical Journal (Linde et al., 1996), and a
multicenter study on the efficacy of an extract of Gingko biloba in patients
with dementia was recently published in the Journal of the American Medical
Association (JAMA) (Le Bars et al., 1997). During November 1998, an entire
issue of JAMA was devoted to articles on alternative systems of medicine,
including herbal treatments.
American laboratories are already screening
individual herbs for psychotropic potential; the United States' efforts in this
regard have been summarized by Cott (1995). By way of example, Cott et al.
(1994) reported that extracts from Withania somnifera show high affinity for
GABA receptors, and that extracts from Centella asiatica show affinity for CCK
receptors. Withania somnifera and Centella asiatica are known as Ashwagandha
and Mandookaparni (respectively) in Ayurveda, which is a traditional system of
medicine in India. Since GABA agonism and CCK antagonism have been linked to
anxiolysis, these findings support the recommendation in Ayurveda that
Ashwagandha and Mandookaparni be used as sedatives (Handa, 1995).
The discipline of Ayurveda has existed in India
for millennia. One of the practices of Ayurveda is to treat poor health with
medicines obtained from herbs. These medicines are prepared from the leaves,
roots, or other parts of certain plants. The medicines are most commonly
dispensed in the form of a powder or as a water-based extract that is prepared
as a decoction, much as tea is brewed. Indian herbal substances with
psychotropic properties have been described by Iyengar (1981), Satyavati
(1995), Dhawan (1995), and Handa (1995).
Ayurvedic medicine is widely practiced in India
to this day. Students receive their training in Ayurvedic medical colleges, and
are subsequently licensed by the state to practice their art. Their training
and licensing is independent of and parallel to the training and licensing of
allopathic practitioners.
The Indian government as a policy encourages
Ayurvedic and other forms of indigenous medicine (such as Unani and Sidda). One
of the forms of encouragement is to permit the marketing and prescribing of
herbal medicinal substances with no prior requirement that these substances be
demonstrated to be effective and safe. All that the Drug Controller of India
requires, in fact, is evidence that the substances in question have been
recorded to have medicinal properties in the ancient Indian literature. In
contrast, allopathic drugs introduced into the country must pass through
clinical trials before their marketing is permitted; this requirement is not
relaxed even if the drug has been approved of for marketing in the developed
world.
Ayurvedic clinicians classify and diagnose
illness in a manner that is radically different from that followed in
allopathy; concepts in the field of mental health have been described by
Ramachandra (1990). Furthermore, Ayurvedic clinicians do not have adequate
training in the design, conduct, and analysis of clinical trials. As a result,
they do not engage themselves in research that is of a nature that allopathic
medical journals will find acceptable. In consequence of this, and in
consequence of the policy of the Drug Controller of India, a very large number
of herbal medicines and formulations thereof are commercially marketed and
prescribed in the country without evidence of efficacy and safety. In general,
however, experience suggests that adverse effects are not an issue because
patients hardly ever experience ill effects when receiving herbal medicines;
what remains in question is whether these medicines are effective at
all.
The study of the Indian herbal pharmacopoeia
through clinical trials is an expensive, laborious, and time-consuming option.
The logistics of conducting clinical trials on herbal medicines are further
complicated by two factors: most herbal pharmaceutical companies are too small
to be able to afford to commission clinical trials, and the larger companies
are not interested in clinical trials because their products have already been
licensed for sale. Interested scientists are therefore compelled to resort to
animal models for the efficacy screening.
Efficacy Screening
Where Should One Begin?
Our interest in the herbal attenuation of
ECT-induced cognitive impairment arose in the early 1990s. We were faced with a
wide choice of individual substances, all of which were described in Ayurveda
to enhance central nervous system functioning; these substances included
Shankapushpi, Brahmi, Ashwagandha, Mandookaparni, and others (for review, see
Iyengar, 1981; Dhawan, 1995; Handa, 1995; Satyavati, 1995). We were also faced
with a wide choice of commercial formulations comprising combinations of
various substances in various proportions; these formulations were marketed
with the assertion that individual ingredients complement each other in
efficacy and cancel out each other in adverse effects (this assertion is a
common philosophy underlying Ayurvedic medical practice).
We considered it appropriate to commence our
studies with a formulation rather than with an individual herb because a
formulation, comprising several ingredients, is more likely to contain a
biologically useful chemical, and is therefore more likely to yield positive
results. As the starting point for our research, we selected the most popular
procognitive formulation (Mentat) marketed by the largest herbal pharmaceutical
company (Himalaya Drug Company) in the country.
Mentat
Mentat is also known as BR-16A. It contains
over 20 different ingredients; the exact formulation differs between pediatric
and adult presentations of the composite. Important ingredients of BR-16A,
suggested to improve memory function, include the following: Jal-brahmi (Bacopa
monnieri), Mandookaparni (Centella asiatica), Ashwagandha (Withania somnifera),
Shankapushpi (Evolvulus alsinoides), Jatamansi (Nardostachys jatamansi), Vach
(Acorus calamus), Malkangni (Celastrus paniculatus), and Sonth (Zingiber
officinale). Other ingredients of BR-16A, claimed to be "nerve
tonics," include Tagar (Valeriana wallachii), Badam (Prunus amygdalus),
Salap (Orchis mascula), Lavang (Syzygium aromaticum), and Pearl (Mukta pishti).
The remaining ingredients are putative general tonics and vitalizers (Himalaya
Drug Company, 1991).
We examined the cognitive benefits with Mentat
(200 mg/kg/day) using a food-motivated paradigm in food-deprived rats studied
in the Hebb-Williams complex maze and in the T maze. In the former task, each
rat was trained to leave a start chamber, traverse corridors in the maze, and
locate the reward chamber; the learning score was the time taken by the rat to
reach the reward chamber. In the latter task, each rat was taught to leave the
stem of the T maze, choose between correct and wrong arms of the maze, and
locate the reward chamber at the end of the correct arm; the learning indices
were the number of trials taken by the rat to achieve a criterion that defined
satisfactory learning, and the number of wrong arm entries during this
period.
The results were encouraging. We found that 3
weeks of administration of Mentat significantly improved Hebb-Williams maze
learning in rats (Joseph et al., 1994). This established the potential of
Mentat as a procognitive formulation worthy of examination in the context of
ECT-induced cognitive dysfunction. We next showed that in an identical
experimental design, Mentat attenuated anterograde amnestic deficits induced by
six once-daily ECS (Joseph et al., 1994). In a second study, we found that rats
that were pretrained in the Hebb-Williams and the T maze tasks, and which
received six once-daily ECS, learned better during post-ECS reexposure to the
same tasks if they had received Mentat for 2 weeks than if they had received
placebo (Andrade et al., 1994a). It is uncertain, however, whether Mentat
improved renewed learning, or enhanced retention of learning during the first
(pre-ECS) exposure to the tasks, or both. In a third study, we found that the
administration of Mentat for approximately I week to rats pretrained in the T
maze resulted in an attenuation of the retrograde amnestic deficits induced by
two ECS administered on the same day, 5 hours apart (Andrade et al., 1995). In
the most elaborate study of all, we employed the Hebb-Williams maze to confirm
that approximately 2 weeks of treatment with Mentat enhances the ability of
rats to learn the task as well as attenuates both retrograde and anterograde
amnesia induced by two once-daily ECS (Faruqi et al., 1995).
Results in healthy rats may not be
generalizable to dysfunctional humans. In an attempt to make the animal model
more representative of situations of clinical impairment, we preselected rats
for poor learning on the Hebb-Williams maze and examined whether the
administration of Mentat for 3 weeks could attenuate the anterograde amnestic
effects of six once-daily ECS; the results again supported the use of Mentat
(Ramteke et al., 1995).
We have not been able to offer any convincing
explanation for the mechanism of procognitive action of Mentat. In only one of
the studies described, we found that Mentat produced a small but statistically
significant abbreviation of the ECS seizure duration (Faruqi et al., 1995).
This finding was in line with unpublished data furnished by the drug company
that Mentat shortens chemically induced seizures, and abbreviates breakthrough
seizure duration in epileptic patients on antiepileptic medication. In this
study, however, seizure duration showed no statistical relationship to the
learning performance of the rats, suggesting that the mild anticonvulsant
effect of Mentat did not directly or indirectly mediate its antiamnestic
effects.
In another study, we used in vivo chemical
challenges in rats to demonstrate that Mentat enhances dopamine postsynaptic
receptor functioning, but does not influence the activity of dopamine
autoreceptors or alpha-2 noradrenergic receptors (Andrade et al., 1994b). The
relevance of these findings to the procognitive effects of Mentat requires
further study.
Memorin
As already described, Mentat is a complex
herbal formulation. With the expectation that not all of its contained
ingredients are relevant to its procognitive actions, we searched for simpler
formulations to study, and finally chose Memorin (Phyto-Pharma). This
formulation is derived from Mandookaparni (Centella asiatica, Jatamansi
(Nardostachys jatamansi), Yashtimadhu (Glycyrrhyza glabra), Shankapushpi
(Evolvulus alsinoides), and a subformulation, Smruti Sagar. While Memorin is
not exactly a subset of Mentat, there is considerable overlap in the contained
ingredients.
We examined the cognitive benefits with Memorin
(200 mg/kg/day), using the T maze as in the Mentat studies and using a passive
avoidance paradigm. In the latter experiment, each rat was trained to remain in
the bright chamber of a shuttle box to avoid receiving an electric shock in the
dark chamber; the duration for which the rat remained in the bright chamber was
its recall score.
As with Mentat, the results with Memorin were
encouraging. The administration of Memorin for 2 weeks attenuated retrograde
amnesia, measured using the passive avoidance paradigm, in rats that received
two ECS on the same day, spaced 5 hours apart (Vinekar et al., 1998). Likewise,
2 weeks of Memorin attenuated the anterograde amnesia induced by two ECS (again
administered on the same day, 5 hours apart) and measured in the T maze
(Andrade et al., 1999). In neither study did Memorin influence the ECS seizure
duration. As with Mentat, we were unable to suggest any mechanism for the
procognitive action of Memorin.
Our experience with Memorin in elderly subjects
diagnosed with age-related cognitive decline (DSM-IV) has been very
encouraging. Memorin capsules administered four per day in two divided doses
produced significant improvements in several measures of memory relative to
placebo (Andrade et al., 1998). A small pilot study comparing Memorin and
placebo in patients receiving ECT has recently been completed, and the data are
presently under analysis.
Shankapushpi
Shankapushpi (Evolvulus alsinoides) is an
ingredient of both Mentat and Memorin. Shankapushpi is highly rated in Ayurveda
as a treatment for impairments related to the central nervous system.
Accordingly, we examined the ability of an aqueous extract of Shankapushpi to
promote learning, and to attenuate ECS-induced anterograde and retrograde
amnesia studied using the T maze and the Hebb-Williams maze.
The results were altogether disappointing.
Shankapushpi did not enhance learning performance on either task, nor did it
attenuate either anterograde or retrograde amnesia induced by various schedules
of ECS in rats (abstracted in Andrade et al., 1996). It is of course
conceivable that Shankapushpi may contain a procognitive ingredient that does
not emerge in an aqueous extract; if so, an alcoholic extract of Shankapushpi,
or extracts obtained by some other process, may yield more encouraging results;
this issue will require evaluation in future experiments.
Caveats
Herbal medicines are prepared from the leaves,
roots, and other parts of specific plants. The biology of these plant parts
varies as a function of their location on the plant, the time of day, the
season of the year, the cultivation process, variations in weather and soil,
and other factors. Accordingly, standardization of an herbal pharmaceutical
product requires much care.
Today, the principal chemical ingredients of
most of the important herbal source materials are known and have been published
(e.g., Kirtikar and Basu, 1993; 1994). What is uncertain, however, is the
identity of the chemical that is biologically relevant in a particular herb.
Most herbal pharmaceutical companies therefore obtain a chromatographic
"fingerprint" of a gold standard of their herbs, and endeavor to
ensure that all subsequent batches of their products match this fingerprint.
The shortcoming of this procedure is that the standardization process may be
based upon irrelevant ingredients.
Animal Models of Cognition:
Theoretical and Practical Issues
Animal models of cognition are well described
in the literature and will not be reviewed here. Instead, we present certain
theoretical and practical issues that arise from the conduct and interpretation
of research based on such models. We focus on our own experiences in this
regard, derived from the studies described in the earlier section.
General Limitations of Animal Models
Conducting research on human subjects may yield
the most reliable results, but is expensive, time-consuming, and fraught with
ethical difficulties. The use of animal models of physiological or
psychological function or dysfunction is therefore helpful during the early
stages of hypothesis generation, during drug development, and in other contexts
of explorative research. The utility of animal models notwithstanding, it must
be remembered that resulting findings are generalized to human contexts; this
exposes the limitations of such models. Consider the following issues:
A rat is far removed from a human; the
validity with which comparisons can be drawn between rodent and human research
is therefore uncertain. For example, the complex processes described under
registration, retention, recall, and recognition under short- and long-term
storage conditions in humans may not apply to the same extent in rats. The
neurophysiology and neurochemistry of a rat may be simpler than that of a
human, making it easier for a drug to have a demonstrable procognitive effect
in the former than in the latter situation. A contrary view is also
conceivable: A complex human system may have more sites at which a
multiingredient herbal compound could act, making the compound more likely to
be effective in the human context than in the laboratory context.
A healthy rat is far removed from a
dysfunctional human. For example, even if memory processes are identical in
rats and humans, it is uncertain whether memory processes in healthy rats are
similar to memory processes in humans who are modified by conditions such as
depression and schizophrenia. It is likewise uncertain whether a drug that has
procognitive effects in a healthy rat will have procognitive effects in a human
whose biology is compromised by the neurophysiological, neurochemical, and
neuroendocrine changes associated with psychiatric illness.
Even if healthy rats can be equated with
dysfunctional humans, animal models of psychological states are still remote
approximations of what they are clinically considered to represent. For
example, the processes that delay a rat's ability to locate the reward chamber
in the Hebb-Williams maze are likely to be much different from the processes
that underlie ECT-induced autobiographical memory impairment, if only because
maze learning is a spatial task while autobiographical memory is nonspatial. A
drug that is effective in one context may therefore not be effective in the
other context.
Even if animal models correspond perfectly
with the human processes that they are desired to represent, the absence of
internal and external "noise" in laboratory contexts prejudices the
generalizability of animal studies. For example, laboratory animal~ used in
research usually belong to the same age, sex, and inbred strain; they therefore
closely resemble each other in behavior. Furthermore, the laboratory
environments in which the animals are housed and the experiments conducted are
both carefully controlled, and are kept constant all through the experiment.
All these factors reduce the variance of the results in animal experiments. In
contrast, in human contexts interpersonal and environmental differences across
subjects are multiple and are very difficult to control. These factors increase
the variance of results in clinical research. The consequence of low variances
in animal research and high variances in clinical research is that statistical
significance is far more easily attained in the laboratory than in the clinic.
Thus, for example, a drug that has a small procognitive effect may produce
statistically significant results in the laboratory and insignificant results
in the real world. In other words, the small positive effect of the drug is, in
human research, drowned out by the background noise. This may be one of the
reasons why many procognitive treatments that have been shown to be effective
in animal models prove to be ineffective in clinical trials. A point worth
noting is that small positive effects, if they exist, can be demonstrated in
clinical contexts if a sufficiently large sample is studied; however, it is
uncertain whether the statistically significant results so obtained would be
clinically meaningful.
Thus, it is necessary to generalize with
caution between animal and clinical research; when such generalizations are
made, the limitations of animal models must be kept in mind.
General Biases That Operate in Animal Models of
Cognition
Measures of cognition in animal models may be
influenced by biasing factors that are unrelated to cognition. Such factors
include motivation, motility, and left-right preferences.
An animal must be adequately motivated to
attempt a cognitive task and to do well on it. In other words, performances
that are deemed to represent learning efforts must be driven by motivation to
learn rather than by random, exploratory behavior. Motivation is generally
ensured through reward (e.g., a food pellet) or punishment (e.g., a footpad
electric shock). Food-motivated tasks may require the rat to be on I hour/day
restricted feeds for 2-3 days prior to the learning experiments; feeding on the
days on which learning is assessed is permitted after the learning tasks for
the day have been completed.
(If the learning tasks span several days, it
may be advisable to permit feeding only when several hours have elapsed after
exposure to the task; otherwise, the rat may show poor motivation to attempt
the task, having already learned that food will be provided after exposure to
the task.)
A problem with such food deprivation is that
the rat may become sluggish; as a result, the rat may not attempt the task at
all. For example, we have observed that rats on restricted feeds sometimes do
not move out of the stem of the T maze. The learning of these rats cannot be
assessed, and the results of the experiment may consequently suffer bias. Rats
that are sluggish but that do attempt the task may show biased performances on
time-based variables. Another problem with food deprivation is that
hypoglycemia can itself compromise learning. The interaction between this
variable and the experimental variable cannot be estimated. These limitations
of food-motivated tasks with rats on restricted diets must be kept in mind when
conducting and interpreting research based on such paradigms.
Learning tasks that are time dependent are
biased by variations in basal animal motility. For example, in the
Hebb-Williams maze, the dependent variable that estimates learning performance
is the speed by which the rat reaches the reward chamber. This variable is
influenced by the rat's basal motility: a sluggish rat will "learn"
more slowly while a restless rat will "learn" more quickly. Hence, a
treatment that alters basal motility will produce spurious changes in teaming
performance. The direction of the error will depend on the nature of the task
and the effect that the treatment has on motility. A treatment that decreases
motility will falsely enhance learning performances and will fail to adequately
identify amnestic effects in learning tasks, such as passive avoidance
paradigms, in which an absence of response from the animal indicates learning.
Such a treatment will fail to adequately identify learning, and will falsely
inflate amnestic effects in learning tasks such as the Hebb-Williams maze and
active avoidance paradigms, in which an active response from the animal
indicates learning. Treatments that increase motility will produce errors in
the opposite direction. For example, Posluns and Vanderwolf (1970) found that
retrograde amnesia in passive avoidance tests after ECS may be partly due to a
deficit in the ability to suppress motor activity.
Possible solutions to motility-related problems
in time-based learning tasks are either to previously study and rule out an
effect of the treatment upon basal motility before proceeding with the task or
to use a task such as the T maze, the results of which are not influenced by
motility factors. Another possibility is to deliberately use a learning task
that predisposes to a false negative error when studying a putatively
procognitive drug that affects basal motility. The logic here is that it may be
better to err on the side of caution during screening. While including a sham
treatment control group by itself will not help, the use of a factorial
experimental design can reduce (but not necessarily eliminate) motility related
errors. In a study intended to test the antiamnestic effects of a drug in
ECT-treated animals, the experiment would include drug/ECT, sham drug/ECT,
drug/ sham ECT, and sham drug/sham ECT groups. The last two groups serve as
internal controls to the main experimental and main control groups. In the
analysis of results, the interaction effect between the drug and ECT would
indicate the antiamnestic action of the drug.
Many of the ingredients of the herbal
formulations that we studied are claimed to have tranquilizing properties and
would consequently be expected to reduce motility. We therefore focused on T
maze paradigms in our recent research and used factorial designs in all our
studies to minimize motility-related errors.
For over two decades it has been recognized
that rats show clear left-right preferences, and it has recently been
recognized that these preferences influence rats' choices on spatial tasks such
as the T maze. Very recently (Andrade et al., unpublished observations), we
showed that the bias in T maze arm preference was substantial: 22.2% of the
rats that we studied showed a left preference, and 52.8% showed a right
preference. This bias was spontaneous and was consistent over two testing
sessions 30 days apart. Left- and right-biased rats learned rapidly when
trained to enter the arm ipsilateral to the bias; learning was significantly
poorer or did not occur contralaterally. This contralateral learning difficulty
was particularly evident when transfer of learning was assessed, especially
with right-biased rats. Interestingly, unbiased rats (25%) also showed some
difficulties in attaining the criterion for learning in one or the other arm of
the T maze. This finding is probably a result of the broad definition that we
used for absence of bias in contrast with the strict definition used for the
presence of bias. Actually, some of the unbiased rats also showed bias albeit
to a lesser extent, and this bias may have been responsible for the learning
confusion observed. Our findings suggest that unless spontaneous laterality
preferences are taken into consideration, spurious results may be obtained in
spatial learning tasks.
In our own research, described in an earlier
section, we attempted to ensure validity of results by screening all rats for
the ability to learn in both arms of the T maze, and by randomizing rats into
groups based on their learning performances. We consider that there are three
prerequisites for valid use of the T maze in cognitive research: Animals should
be preselected for capacity to learn in both arms, randomization into
experimental and control groups should be stratified for spontaneous arm bias,
and original learning should be directed towards the arm contralateral to the
bias while transfer of learning, if required, can be directed into the
ipsilateral arm. These prerequisites are unfortunately likely to make T maze
research time-consuming and unattractive.
General Precautions Necessary in Animal Models of
Cognition
Many obvious precautions are described to
ensure that performances on learning tasks are not biased. For example, studies
are best conducted on young adult male rats. Rats that are not adults have
immature nervous systems and may not learn consistently. Rats that are too old
have age-related impairments that compromise their learning performances.
Female rats experience estrus every 5 days, and their learning behavior may be
influenced as a function of their hormonal status.
Rats should be obtained from the same batch for
the entire study, otherwise heterogeneity across batches may confuse results.
While the use of an inbred strain may to some extent ensure uniformity, there
is no assurance that ever, within an inbred strain rats will be uniform in
their behavior on a particular task (Pradhan et al., 1990). Only naive rats
should be selected for experiments; rats that have been used in an earlier
experiment are likely to show biases in behavior. The rats must be uniformly
treated in matters ranging from housing to handling and feeding. If rats
belonging to different experimental groups are treated differently, differing
performances may be attributable to such differences in treatment rather than
to differences in learning. The rats should be housed and maintained in
reasonable comfort. Rats that are isolated one per cage, or that are otherwise
stressed may perform poorly as a function of such stresses.
Rats should be handled regularly so that their
responses to a learning task are not biased by the stress of the handling
during the experiment. Rats should be familiarized with the experimental
apparatus prior to the actual experiment so that their performances are not
biased by exploratory behavior. The experiment must be conducted in an
environment that is relatively sound proof and free from other distractions.
The researcher must be seated such that his or her presence does not distract
the rat. External stimuli, including lighting, should not cue the rat. Lighting
in particular should be kept constant all through the study, because rats are
very light sensitive, and become less or more motile with more and less
environmental brightness, respectively. The apparatus must be cleaned after
every rat has completed its task, otherwise the scent markings of the rat will
bias the performances of future rats exposed to the apparatus. Learning
assessments must be conducted at the same time of day lest circadian rhythm
variations bias results. These and other precautions are well described in most
textbooks on laboratory procedures (Bures et al., 1976; Joseph and Waddington,
1986; Van Ree and de Wied, 1988).
One further precaution deserves special
mention. In animal research, rats are frequently assigned to one of several
different groups. It is generally not feasible to complete an entire experiment
in a single day; therefore, for convenience researchers sometimes execute their
study by testing one group at a time. The fallacy of this procedure is that it
permits the entry of sampling, handling, environmental, and other biases into
the study. A more appropriate way of conducting the experiment is to ensure
that each group is proportionately represented in each session of work.
ECS and Animal Models of Cognition
Models of ECS-Induced Amnesia
The literature on ECS and learning in animal
models has been reviewed by Krueger et al. (1992) and Fochtmann (1994). This
section will therefore provide only a brief summary. Retrograde amnesia
associated with ECS has been studied most commonly using the passive avoidance
paradigm (e.g., Alpern and McGaugh, 1968). Conditioned taste aversion has also
been employed as a model (e.g., Shaw, 1986). Active avoidance, appetitive or
aversive water reinforcement, bar pressing, conditioned emotional responses, T-
and Y-maze learning, brightness discrimination, and hunger-fear conflict
responses are some of the other paradigms that have been used to assess
retrograde amnesia after single or repeated ECS (Fochtmann, 1994).
Anterograde amnesia with single or multiple
ECS has been less extensively studied. Again, the most common method employed
has been the passive avoidance paradigm (e.g., Gardner et al., 1972). Several
other models of learning have also been described. Not all have succeeded in
eliciting amnesia (Fochtmann, 1994). A general observation has been that the
ability of ECS to prevent an association from occurring initially is more
pronounced than its ability to disrupt an already formed association (Kral and
Beggerly, 1973).
The method of ECS administration has been shown
to affect the degree of memory impairment. Corneal electrode placement is
associated with greater amnestic effects than transauricular electrode
placement (Dorfman and Jarvik, 1968). Brief-pulse ECS is associated with less
severe memory impairment as compared with sine wave stimuli (Docter, 1957).
Altering the convulsion with the use of either anesthesia or nonconvulsive
stimulation has variable effects on ECS-induced memory deficits. Increasing the
number, frequency, intensity, or duration of ECS, or the proximity of the ECS
to the time of training or testing, is associated with a greater degree of
memory impairment (Fochtmann, 1994). These issues need to be kept in mind when
choosing a model.
Practical Issues
Genetic differences influence task learning,
and both good- and poor-learning strains have been discussed (Roullet and
Lassalle, 1995; Van Buskirk and McGaugh, 1973). For example, C57BL/61bg mice
are good learners in conditional spatial alternation tasks, while DBA/21bg mice
are poor learners and require at least twice the number of training trials
(Paylor, 1993). When an inbred strain of rats is unavailable, there is
variation in learning behavior across batches of rats as well. Thus, previous
experiences and textbook descriptions of animal models of cognition
notwithstanding, prior to each experiment each laboratory may need to
restandardize the model of learning and ECS-induced amnesia, readjusting
variables ranging from the extent of pre-ECS training and the magnitude of
aversive shocks to the strength, number, and frequency of ECS stimuli.
Administration of unmodified ECS may lead to
spinal fracture and paraplegia in a small percentage of rats. In our
experience, the risk is greater in very young animals and when higher stimulus
doses are used; however, old animals and those with greater muscle mass are
also at risk. Administration of modified ECS is difficult. Ventilating a
paralyzed rat before and after the ECS poses problems, and the use of
anesthesia may enhance the ECS-induced cognitive deficits (Miller et al.,
1985). While the latter may be desirable because it makes the model more
representative of clinical contexts, results may actually be inconsistent. Some
studies have reported less amnesia with the use of anesthesia, and even the
elimination of convulsion (Fochtmann, 1994).
Making an ECS schedule representative of
clinical contexts is not easy. We have observed that the administration of
alternate-day ECS does not reliably induce amnesia with the models of cognition
that we have studied. In this regard, models of retrograde amnesia pose
particular problems. The number and frequency of the ECS administered must
ideally mimic a clinical course of treatments; however, employing such a
schedule of ECS risks introducing time-dependent forgetting of pre-ECS
learning. We have therefore administered daily ECS, and sometimes even twice
daily ECS, with the (unproven) assumption that the mechanisms of ECS-induced
amnesia are similar, provided that the number and frequency of ECS do not
differ too widely from clinical norms.
Care must be taken to ensure that the interval
between the administration of ECS and subsequent exposure of the rat to the
learning task is consonant with the aspect of memory that is being studied.
Early exposure to the task is relevant to the transient, postictal cognitive
effects of ECT while later exposure is relevant to the more enduring
deficits.
Finally, just as learning assessments are best
conducted at a fixed time of day, ECS should ideally be administered at a fixed
time. This is because variations in ECS-induced seizures have been noted at
various points in the diurnal cycle. These variations have been attributed to
endogenous opioid levels (Oliverio et al., 1985).
Conclusion
In this article, we have briefly introduced the
practice of herbal medicine in India, summarized the studies that have examined
the herbal attenuation of amnestic deficits induced by ECS, and discussed the
application and limitations of animal models in the context of such research.
We have primarily focused on our own work and insights, and have also examined
practical issues that are involved in studies of this nature. For a
comprehensive review of the effects of ECS on memory and cognition, the effects
of pharmacological agents on ECS-induced memory deficits, and the effect of
coadministered drugs on ECS seizure properties, the reader is referred to
Krueger et al. (1992) and Fochtmann (1994).
Acknowledgment: This article was supported in
part by a grant from the Council for Scientific and Industrial Research (CSIR),
New Delhi, India.
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