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Volume 17, Number 16,
Issue of August 15, 1997
pp. 6380-6390
Copyright ©1997 Society for Neuroscience
Bengalese Finches Lonchura Striata Domestica Depend
upon Auditory Feedback for the Maintenance of Adult Song
Sarah M. N. Woolley and
Edwin W Rubel
Neurobiology and Behavior Program and Virginia Merrill Bloedel
Hearing Research Center, University of Washington, Seattle, Washington
98195
ABSTRACT
INTRODUCTION
MATERIALS AND METHODS
RESULTS
DISCUSSION
FOOTNOTES
REFERENCES
ABSTRACT
Male birds of age-limited song-learning species develop their full
song repertoires in the first year of life. For this type of song
learner, once song is stabilized in adulthood, it is highly stereotyped
and stable over time. Traditionally, it has been believed that
age-limited song learners do not depend on auditory feedback for the
maintenance of adult song. A recent report, however, showed that adult
song in zebra finches, age-limited learners, does change after
long-term deafness. We report here that another species of age-limited
learner, Bengalese finches, depends critically on auditory feedback for
adult song maintenance. We surgically deafened adult males and recorded
song for 12 weeks after surgery. Results show that song degraded
significantly within 1 week of surgery and continued to degrade over
the next 11 weeks. This represents a more rapid degradation of song
than has been seen previously in age-limited species. Song deficits
after deafening included a marked decrease in syllable sequence
stereotypy, skewed syllable distribution within song bouts, degradation
of syllable phonology, and dropped, combined, and new or unrecognizable
syllables. Decreased sequence stereotypy and combined syllables
appeared within 1 week of deafening and did not worsen over time.
Skewed syllable distributions and syllable phonology changes appeared after 1 week and did worsen. Occurrences of dropped and new syllables appeared within 1 week and increased over time. Comparison with other
species indicates that much variability exists among species in the
extent to which auditory feedback is necessary for song maintenance.
Key words:
song;
auditory feedback;
deafening;
finch;
cochlear
removal;
song system
INTRODUCTION
A significant issue in
research on song control in birds has been the contribution of auditory
experience to the development and maintenance of stereotyped song
behavior (for review, see Marler, 1987 , 1991 ; Konishi, 1994 ). Auditory
experience is essential for learning and eventual production of
"normal" adult song. In most song birds, a juvenile male listens to
an adult sing, forms a memory or "template" of that song, and then
practices his own vocalizations until they match that memory (Konishi,
1965 ; Dittus and Lemon, 1969 ; Marler and Waser, 1977 ; Price, 1979 ;
Eales, 1985 ; Marler and Peters, 1987 ). Song birds fall into two
different categories with respect to the capacity for change in adult
song behavior. So-called open-ended learners, such as the canary, learn
new songs seasonally throughout life and depend on auditory information for the production and maintenance of normal song as juveniles and
adults (Nottebohm and Nottebohm, 1978 ; Nottebohm, 1981 ). Age-limited learners, such as the zebra finch and the song sparrow, learn one or
more stereotyped songs during a restricted developmental period and
sing only those songs in adulthood (Price, 1979 ; Eales, 1985 ; Marler,
1987 ).
The necessity of auditory feedback for maintenance of adult song also
differs between these two categories of song birds. Canaries rely
heavily on auditory feedback to maintain normal adult song; they show a
rapid, marked degradation of song when deafened (Nottebohm et al.,
1976 ). In contrast, it was believed that age-limited learners maintain
stereotyped adult song indefinitely without auditory feedback. Early
studies indicated that song, stereotyped by the end of the sensitive
period for song learning, remained stable in adulthood and did not
change after surgical deafening (Konishi, 1965 ; Nottebohm, 1968 ; Price,
1979 ; Bottjer and Arnold, 1984 ). A recent study by Nordeen and Nordeen
(1992) showed somewhat different results. These authors demonstrated that stereotyped adult song in zebra finches can degrade after deafening but that this degradation does not begin in most birds until
6-8 weeks after surgery. Thus, adult zebra finch song does not remain
stereotyped indefinitely without auditory feedback. This important
study showed for the first time that an age-limited learner does depend
in fact on auditory feedback for normal song production. Age-limited
learners, however, seemed to be much less dependent on auditory input
than open-ended learners, because song degraded much more slowly in the
zebra finch than it did in the canary.
In this study, we report that the Bengalese finch Lonchura
Striata domestica experiences very rapid song degradation after the removal of auditory feedback. This result was surprising, because
the Bengalese finch is an age-limited learner, similar to the zebra
finch, with respect to song learning (Dietrich, 1980 ; Clayton, 1987 ,
1988 , 1989 ) and to the acoustic characteristics of song (Immelmann,
1969 ). Males typically learn song during the first 70-80 d of life and
do not normally incorporate new elements or notes into their songs
after 120 d (Dietrich, 1980 ; Clayton, 1987 , 1988 , 1989 ). In
adulthood, each male sings one highly stereotyped, stable song
(Immelmann, 1969 ; Dietrich, 1980 ; Clayton, 1987 ).
MATERIALS AND METHODS
Animals. We used 12 adult male Bengalese finches. All
birds were aviary-raised (Magnolia Bird Farm, Anaheim, CA) with adults of both sexes and were sent to our laboratory at 4 months of age. Birds
were housed in groups of 10-15 individuals of both sexes and were
maintained on a 14:10 hr light/dark cycle. All birds were 6 months of
age at the beginning of this study.
Song recordings. "Undirected" (not in the presence of a
female) song was recorded while each male was alone in a 20 × 12 × 14 inch wire mesh cage within a sound-isolated booth
(Industrial Acoustics). A low impedance microphone (F-98; Sony, Tokyo,
Japan) was placed 6 inches above the bird's perch. The microphone was connected through a voice-activated circuit, with a 4 sec signal delay
to a cassette tape recorder (PMD 201; Marantz). For each recording
date, 10 singing bouts composed of several repetitions of a song were
recorded. Song bouts were defined as episodes of continuous singing
surrounded by 2 or more seconds of silence. The time required to
collect 10 bouts from an individual on any particular date ranged
between 30 min and 8 hr.
Song was recorded from each of the 12 males at the ages of 6, 7, and 8 months (8, 4, and 0 weeks before deafening, respectively). These
recordings were collected to ensure that each bird was singing a
stable, stereotyped song over time. After these three initial baseline
recordings, 6 of the 12 birds were surgically deafened at 8 months of
age by bilateral cochlear removals as described below. The other six
birds served as unmanipulated controls. Song was recorded from all 12 of the birds at 1, 2, 3, 4, 5, 6, and 12 weeks after the deafening
surgeries were performed.
Surgery. Birds were anesthetized with intramuscular
injections of 25 mg/kg Nembutal (Abbott Labs, Irving, TX) and 80 mg/kg Ketaset (Fort Dodge Laboratories). Feathers were trimmed around the
external auditory meatus, and an incision was made in the skin covering
the ear canal to expose the tympanic membrane. The tympanic membrane
was cut, and the columella was removed. The cochlea (basilar papilla)
was removed by inserting a tungsten wire hook through the oval window,
into the proximal end of the cochlea, and by withdrawing the hook with
attached cochlea. The middle ear was then filled with sterile Gelfoam
(Upjohn, Kalamazoo, MI), and the incision in the skin was sealed with
cyanoacrylic glue (Vetbond). This procedure was repeated on the other
ear. The extracted cochleas were floated in saline and examined under a
dissecting microscope to ensure that the entire structure had been
successfully removed bilaterally.
Song analysis. All song records were played into a Power
Macintosh 9500 and digitized at 22 kHz using the Canary 1.2 sound analysis program (Cornell Laboratory of Ornithology). Spectrographs and
amplitude waveforms from the first baseline recordings made 8 weeks
before deafening were used to identify each bird's song. For
experimental birds, the three initial monthly recordings at 8, 4, and 0 weeks before deafening ( 8, 4, and 0) and the recordings at 1, 2, 3, 6, and 12 weeks after deafening (+1, +2, +3, +6, and +12) were chosen
for analysis. Recordings at +4 and +5 weeks were eliminated because
they did not seem to be different from recordings at +3 weeks. For
control birds, we analyzed song from two initial monthly recordings
( 4 and 0) and from the recordings at 4 and 12 weeks after the
deafening surgeries were performed (+4 and 0). Of the 10 singing bouts
recorded from each bird at each time point, the three longest bouts
were chosen for analysis. Approximately 1000 repetitions of song from
the 12 animals were analyzed.
Normal song was defined from presurgery records as follows. From
presurgery baseline song recordings made 8 weeks before deafening ( 8), each bird's syllables and song were identified by determining the sequences of sounds that were sung in stable units and were repeated several times within a bout. For this species' song, syllables were defined as discrete sets of sounds always occurring together as a unit and having silent intervals of no more than 80 msec
within a sequence of vocalizations. Bengalese finch song often contains
repeated sets of notes or elements that always appear together and that
have silent intervals between them that are shorter and less variable
than are those between entire syllables. Vocalizations we call
syllables here have been referred to as "elements groups" in
previous work with this species (Dietrich, 1980 ). The method of
defining syllables used here is validated by the changes in song that
occurred after deafening. Namely, those sets of sounds defined as
syllables are maintained as units after deafening, although their
sequence becomes disordered. Intervals of silence between 80 and 1000 msec in duration were considered intersyllable intervals. An
individual's song was defined as the sequence of syllables repeated
several times within a bout. Song bouts were defined as episodes of
singing initiated by introductory notes and surrounded by at least 2 sec of silence. The records used to identify each individual's song
served as a template for that individual but were then excluded from
further analysis.
Hard copies of song spectrographs and amplitude waveforms were made for
the three analysis bouts used for each recording time. The records from
each bird were then coded and randomized so that during the analysis we
did not know the recording time for each particular set of
spectrographs and waveforms. Songs, syllables, and transitions between
syllables were labeled on each spectrograph and waveform. Syllables
were given identifying numbers in their corresponding order of
appearance. For cases in which the unique elements distinguishing two
similar syllables were changed or lost postoperatively, we assigned
identity to a syllable based on the closest estimate of syllable order
matching that of preoperative song. In such cases, this method provided
the most conservative calculations of song change. Introductory notes,
occurring at the initiation of a bout, were labeled but were not
included in the quantitative analyses unless they were reliably
produced within song repetitions. Some birds occasionally but not
consistently inserted an introductory note between the syllables within
songs (see, e.g., Fig. 2A). In this case, the note
was considered part of a syllable if <80 msec of silence separated it
from an adjacent syllable. If silent intervals between such a note and
the syllables adjacent to it were >80 msec, then it was labeled as an
introductory note and was omitted from further analysis. In cases in
which introductory notes were reliably sung between longer syllables within songs, they were labeled as syllables and included in analyses. Any new or unrecognizable syllables that were not sung in the preoperative baseline recordings used to define a particular bird's song were labeled with letters in the order of each syllable's occurrence. Any combined syllables were labeled as such and were considered syllable types different from the two or more originally separate syllables composing them.
Fig. 2.
Within 1 week of deafening, the birds sang with a
marked degradation of syllable sequence stereotypy. A,
Sound spectrograph of two song repetitions recorded preoperatively.
B, Spectrograph of the same duration from the same bird
recorded in A but recorded 1 week after deafening.
Syllable identities are labeled with numbers below the
time axis.
[View Larger Version of this Image (28K GIF file)]
The song spectrographs from each bird at each recording time were
analyzed for the following properties: syllable order and sequence
stereotypy; syllable distribution within a bout; syllable phonology;
and instances of dropped, combined, and new or unrecognizable syllables.
Syllable order and sequence stereotypy. For the analysis of
sequence stereotypy, we used a method modified from that used by
Scharff and Nottebohm (1991) . This method is the calculation of a final
sequence stereotypy score for each singing bout by the
averaging of two stereotypy ratios: a sequence linearity
score and a sequence consistency score. The maximum value
for each of these scores is 1. The calculations are expressed as
follows:
Sequence linearity measures in how many different ways the
syllables are ordered. For example, if a bird has four syllables (e.g.,
1, 2, 3, and 4) in his song, and thus also in a whole bout, he will
also have at least four transition types in a bout (1 to 2, 2 to 3, 3 to 4, and 4 to 1). If he sings those four syllables in the same exact
order over and over again, only four transition types will be found in
a bout, and he will have a sequence linearity score of 1. If he sings
those syllables in a differing order, more than four transitions types
will be found in a bout, and the sequence linearity score will be
<1.
Sequence consistency measures how often a particular sequence of
syllables is produced. Typical transitions were defined using the same
presurgery baseline recordings that were used to define each bird's
normal song mentioned above. Transitions considered typical for this
ratio would be 1 to 2, 2 to 3, 3 to 4, and 4 to 1 for a bout composed
of song repetitions containing four syllables. If the atypical
transition 4 to 2 occurred often rather than just once in a bout, the
sequence consistency score would decrease.
Sequence stereotypy scores were calculated for each of the three song
bouts analyzed per recording time per bird and were averaged to give
one final score for each bird at each recording time. Those scores were
then averaged over all experimental birds and all control birds
separately for each recording time and were statistically analyzed for
changes in sequence stereotypy over time.
Additionally, to determine whether birds ever sang syllables in
randomly configured sequences, a random model of syllable ordering was
generated to match the actual numbers of syllable types occurring in
bouts over time and the numbers of syllables sung in bouts. Sequence
stereotypy scores were calculated for this random model of syllable
order and were compared with the scores calculated from the actual
singing bouts.
Syllable distribution. To determine whether there were
changes in the frequency with which a syllable was sung within a bout, we used the Shannon information measure expressed below (Shannon, 1949 ;
Hailman, 1977 ). This measure, originally designed to quantify the
amount of information within a set of signals transmitted between
sender and receiver, is often used to compare the relative probabilities that certain signals will be present within a set of
signals. We calculated an H value for each bout, averaged
all of the bout scores within a date, and compared those values across recording dates. H is calculated using the following
equation:
where N equals the number of different signals
(syllables) in the array (song bout), and Pi
equals the probability that each signal might occur as given by the
relative frequency of occurrence.
For example, if a bird has four syllables in his song and he sings them
in a perfectly stereotyped pattern, then each syllable has a
probability of 0.25, and the H value will be 2, but if he sings syllable one one-half of the time, syllable two one-fourth of the
time, and syllables three and four each one-eighth of the time, then
the probability of each syllable occurring is not equal, and the
H value will decrease to 1.75. A higher H value
indicates that syllables one, two, three, and four are being sung
equally, whereas a lower value represents an unequal distribution of
syllable types within a bout. Any new syllables arising in a bird's
repertoire after deafening were not included in this analysis so that
N did not vary within an animal over time. Thus, we could
directly compare H values, within a bird, for all of the
recording times used throughout the study.
Syllable phonology. To measure differences in syllable
phonology over time, we used spectrographic cross-correlations of three randomly selected examples of the same syllable type from each recording time. We generated cross-correlation arrays for each syllable, comparing preoperative and postoperative examples of the same
syllable type within and across recording times.
Dropped, combined, and new or unrecognizable syllables. We
also documented if and when syllable types were dropped from songs over
time, the combining of originally distinct syllables over time, and the
appearance of any new or unrecognizable syllables over time. The
syllable types that could be considered dropped were limited to those
that were originally defined in the normal song of each bird and that
did not include new syllables appearing after deafening. Syllable types
were considered dropped from a repertoire by a particular date if no
example was found of that syllable in any recordings obtained on or
after that date. Syllables were considered combined if the interval of
silence between the two elements adjoining the syllables was less than
the silent intervals between elements within each originally distinct
syllable. A syllable was considered new or unrecognizable if we could
not assign it an identity based on its spectrographic similarity to any
syllable in that bird's normal song.
Statistical analyses. Statistical analyses on sequence
stereotypy scores, H values, and cross-correlations were
performed using repeated measures, one-factor ANOVA. Post
hoc comparisons were made with the Scheffé F
test. Student's t tests (two-tailed) were used to compare
stereotypy scores and cross-correlations between control and
preoperative experimental birds.
RESULTS
Normal song
Analysis of our control and preoperative song recordings indicated
that song in normal adult male Bengalese finches is stereotyped and
stable over time. Figure 1 shows one
repetition of a song from the same bird from three different recording
times that span 4 months. The similarity in syllable morphology and
syllable order is clearly apparent.
Fig. 1.
Normal adult Bengalese finch song was recorded
from control birds 10 times over 4 months. Song was stereotyped and
stable over time. A, One song repetition from recordings
made from a control bird 4 weeks before the experimental birds were
deafened. B, Repetition of a song from the same bird
from recordings made 8 weeks later. C, Recording from
the same bird 12 weeks after the experimental birds were deafened (16 weeks after the recording shown in A). Syllable
identities are labeled with numbers below the time
axis.
[View Larger Version of this Image (26K GIF file)]
Normal songs are composed of two to seven syllables (mean = 4) and
are an average of 2.1 sec in duration. Syllables are generally composed
of repeated elements that feature harmonics or sequences of fast
frequency modulated sweeps (Fig. 1, syllables 2, 4, respectively). Frequency components range between 0.5 and 10 kHz. Some
syllables are shorter and more simple call-like acoustic units that are repeated a variable number of times within any one repetition of a
syllable (Fig. 1, syllable 3). Spectrographs of normal songs (see Figs. 1, 2A, 8A) and
spectrographs of normal syllables (see Figs. 1, 2A,
5A,B, 7A,
8A) are shown.
Fig. 8.
After deafening, the birds sang new or
unrecognizable syllables. A, Sound spectrograph of one
song repetition recorded preoperatively. B,
C, D, Examples of new or unrecognizable
syllables sung by the same bird recorded in A but 3 weeks after deafening. Identities of original syllables are labeled
with numbers. New or unrecognizable syllables are
labeled with lower case letters.
[View Larger Version of this Image (33K GIF file)]
Fig. 5.
A, B, Sound
spectrographs showing two different syllables from two different birds
recorded preoperatively. C-H, Spectrographs of the same
syllables from the same birds recorded in A and
B but recorded (C, D) 2 weeks after deafening, (E, F) 6 weeks after deafening, and (G, H)
12 weeks after deafening. Black bars indicate the
portion of the spectrograph containing the syllable.
[View Larger Version of this Image (44K GIF file)]
Fig. 7.
Within 1 week of deafening, some originally
distinct syllables were truncated and combined. A, Sound
spectrograph of two different syllables from one experimental bird's
song recorded preoperatively. B, An example of the
combination of the two originally distinct syllables shown in
A recorded 1 week after deafening. C, An
example of the same combination, also recorded 1 week after deafening, in which the order of syllables has been reversed. Syllable identities are labeled with numbers below the time axis.
[View Larger Version of this Image (37K GIF file)]
Sequence stereotypy scores for normal song bouts indicate that
stereotypy in syllable order was high and stable over several months in
normal birds; overall scores (mean ± SEM) for control and
preoperative birds were 0.830 ± 0.050 (see Fig. 3A)
and 0.780 ± 0.048 (see Fig. 3B, before CR).
Sequence stereotypy did not change over the 3 months of initial
preoperative recordings, and control and preoperative scores did not
differ. Across all control and experimental birds, normal song was
composed of relatively equal presentations (mean ± SEM;
H value = 1.98 ± 0.045) of each syllable type in
a song bout (see Fig. 4).
Fig. 3.
Sequence stereotypy scores at each recording time
were averaged for control and experimental birds. A,
Scores for controls were similarly high and consistent over time.
B, Scores for experimental birds were similarly high
over time before deafening by cochlear removal (CR),
decreased significantly by 1 week after deafening, and were similarly
low between 1 and 12 weeks after deafening. The hatched
bar gives the mean score (±SEM) of the random model and
indicates the score for a chance configuration of
syllables. By 6 weeks after deafening, stereotypy scores were not
statistically different from random. Numbers below the x
axis indicate the number of weeks before or after the experimental
birds were deafened. Error bars represent ± SEM;
**p < 0.001, compared with predeafening scores.
[View Larger Version of this Image (15K GIF file)]
Fig. 4.
Syllable distribution was significantly more
skewed and variable in deafened birds. Mean H values are
plotted for preoperative and postoperative recordings from experimental
birds. H values decreased significantly between
preoperative recordings and those made 6 weeks after deafening by
cochlear removal (CR). Numbers below the
x axis indicate the number of weeks before or after deafening of the birds. Error bars represent ± SEM;
**p < 0.001, compared with predeafening
scores.
[View Larger Version of this Image (15K GIF file)]
Analysis of the changes in syllable phonology by cross-correlation
showed that syllables were very similar in phonology over time in
control and in presurgery experimental birds. For all syllable types
and all animals combined, cross-correlations (X/corr) of syllables sung
by control animals were moderate (mean ± SEM; X/corr = 0.680 ± 0.017) and did not change within a recording session.
Correlations were also moderate and stable (mean ± SEM; X/corr = 0.616 ± 0.011) for comparisons of the same syllable
type sung by control birds during recordings that spanned 4 months (see
Fig. 6C). Comparison of within-date cross-correlations with between-date cross-correlations showed no significant difference (p > 0.1).
Fig. 6.
Syllables were cross-correlated within a recording
date and across recording dates. Syllables sung 2 weeks after deafening were significantly different from the same syllables sung
preoperatively. A, Controls, Mean
correlations for repetitions of the same syllable within recording
dates. B, Deaf, Mean correlations for
repetitions of the same syllable within recording dates.
C, Controls, Cross-correlations of syllables from
recordings made 4 weeks before and 4 and 12 weeks after the
experimental birds were deafened (8 weeks and 16 weeks apart).
D, Cross-correlations of the same syllables sung 4 weeks
before and 1, 2, 3, 6, and 12 weeks after deafening. Numbers below the
x axis indicate the number of weeks before or after the
experimental birds were deafened. Error bars represent ± SEM; *p < 0.05; repeated measures ANOVA.
[View Larger Version of this Image (33K GIF file)]
No occurrences of dropped or new or unrecognizable syllables were
observed in control and preoperative song recordings (see Table 1). In
preoperative recordings from one experimental bird, we found two
instances of combined syllables. These were the only observations of
syllable combinations in normal song.
Effects of deafening on syllable order
Postoperative song recordings showed that deafening resulted in a
rapid and marked degradation of song stereotypy, which began within 1 week of surgery in the first postoperative recordings. Although we
began systematically recording song from all birds at 1 week, we did
observe qualitative changes in song before 1 week; we could detect
changes such as the repetition of syllable types and incomplete
songs.
The first song change observed quantitatively was a decrease in
sequence stereotypy. For example, the likelihood of syllable 2 following syllable 1 decreased significantly between sequences of
syllables sung during the preoperative months and those sung 1 week
after deafening. In deafened birds, the ordering of syllables was often
so unpredictable that we were no longer able to define a song
repetition. Interestingly, the occurrence of syllable 1 (as defined in
preoperative recordings) being sung first in a bout was still
relatively consistent. Common changes made in singing bouts recorded 1 week after deafening included singing one syllable several times
consecutively and skipping syllables. An example is shown in Figure
2. Figure 2A shows a
sequence of syllables comprising two repetitions of song sung before
deafening, whereas B shows a sequence of approximately the
same duration sung by the same bird 1 week after deafening.
Quantitative analysis of song spectrographs showed that sequence
stereotypy scores decreased from 0.780 ± 0.048 (mean ± SEM) before deafening to 0.412 ± 0.037 over the 12 weeks after
deafening (Fig. 3B). At each
postoperative time point, sequence stereotypy scores were significantly
different from preoperative scores (p < 0.001);
postoperative scores did not differ significantly among the recordings
made 1, 2, 3, 6, and 12 weeks after deafening.
According to our random model for the probability of one particular
syllable following another by chance alone, a sequence stereotypy score
of 0.315 ± 0.018 (mean ± SEM) would be expected. This value
represents the averaged scores for syllable strings (bouts) in which
the syllables were randomly ordered. These model syllable strings
exactly matched the actual number of syllable types and the overall
numbers of syllables sung in analyzed bouts of deafened birds.
Comparison of this value with averaged scores for the actual analyzed
song bouts indicated that sequence stereotypy in deafened birds
gradually degraded over time from less stereotyped than normal to not
significantly different from random. The random model value was
significantly below the scores for birds singing 1, 2, and 3 weeks
after deafening but was not different from the scores for birds singing
6 and 12 weeks after deafening (Fig. 3B).
Effects of deafening on syllable distribution within
song bouts
In deafened birds, some syllables were sung more frequently than
others. For most deafened birds (five of six), the favored syllable
(the one sung most often) was the first syllable in a song. In four of
six birds, this syllable was less complex acoustically, and shorter in
duration, than the other syllables. In deafened birds, H
values decreased with each successive recording time, and the
variability among H values for bouts scored within a session increased over time. The decline in H values indicates that
the appearance of different syllables within a bout changed from being near equal in normal birds to clearly favoring some syllables over
others in deafened birds. The lower H values for song bouts in deafened birds represented the combined effects of the repeated singing of one syllable type and the dropping of other syllable types
from song repetitions. These effects are shown in Figure 4. By 6 weeks after deafening,
H values had decreased significantly from those for
preoperative recordings (p < 0.001).
H values decreased from 1.98 ± 0.045 (mean ± SEM) preoperatively to 1.21 ± 0.189 by 6 weeks after
deafening.
Effects of deafening on syllable phonology
In the second week after deafening, breakdowns in the phonology of
some syllables occurred in all six birds, although other syllables
seemed to remain normal. For many of the longer syllables, the
fundamental frequencies and harmonics seemed to increase or decrease.
In other instances, the starting or ending elements of syllables were
missing. Figure 5 shows examples of
changes in syllable phonology in two birds between preoperative
recordings and 2, 6, and 12 weeks after deafening. Each syllable type
exhibiting one or more of these deficits seemed to exhibit them
consistently within and across recording times, but with variations in
the degree of deficit. These forms of song degradation worsened
dramatically over time.
Cross-correlations for individual syllables in control birds within any
recording session (Fig.
6A) were relatively
stable. The mean ± SEM was 0.680 ± 0.017, with no
significant changes over 4 months. Cross-correlations of syllables from
recording sessions separated by 1 to 4 months were 0.616 ± 0.011 and did not differ as a function of the separation period (Fig.
6C). In deafened birds, the cross-correlations for
between-date comparisons decreased significantly over the 12 weeks
after deafening (Fig. 6B,D). In
contrast to controls, deafened birds sang syllables with
cross-correlations that were significantly higher within a recording
date than between recording dates (p < 0.05).
Cross-correlations within any recording date tended to be lower and
more variable after deafening than before deafening (Figs.
6A,B). For example, over 12 weeks,
the mean ± SEM decreased from 0.674 ± 0.035 to 0.619 ± 0.080. These changes were not significantly different, however.
Cross-correlations of syllables before and after deafening (Fig.
6D) were significantly lower than either predeafening
or control cross-correlations. The mean ± SEM of preoperative
cross-correlations was 0.650 ± 0.044. By 2 weeks after deafening,
cross-correlations with the same syllables at 4 weeks before surgery
had dropped to 0.566 ± 0.053 and by 12 weeks were only 0.520 ± 0.058. Changes in cross-correlations between preoperative and
postoperative syllables, however, were surprisingly small compared with
the marked changes we observed when qualitatively examining syllable
spectrographs (see examples in Fig. 5). This suggests that the
spectrograph cross-correlation is not a particularly sensitive measure
of changes in syllable phonology.
Dropped, combined, and new or unrecognizable syllables
For each song bout analyzed by the measures described above, we
also documented any syllables that a bird dropped from his repertoire,
any syllables that were combined, and any new or unrecognizable syllables that appeared. These data are shown in Table
1. No instances of dropped syllables were
observed in either control or preoperative birds. By 1 week after
deafening, two of six birds had deleted one syllable type. The number
of syllables dropped continued to increase until the final recording
sessions. By 12 weeks after deafening, 7 of the total of 26 syllable
types in experimental birds were no longer present in song bouts. At
this time, five of the six birds had deleted at least one syllable type.
No combined syllables were found in recordings from control birds. Four
of the six experimental birds combined previously distinct syllables by
1 week after deafening. These syllables were usually sung consecutively
in the normal recordings. They were truncated and combined in song from
deafened birds (Fig. 7). We counted six
combined syllable types in the recordings made 1 week after deafening
and 25 total repetitions of these (Table 1). This deficit did not
worsen over time; there was no overall increase in the number of
combined syllables or in the number of times syllable combinations
occurred over the postoperative 12 week period.
New or unrecognizable syllables first appeared 1 week after deafening
and increased in overall number as well as in frequency of occurrence
over time (Table 1). No new syllables were found in recordings from
control birds. The generation of new or unrecognizable syllables was
highly variable among individual experimental birds. One bird never
sang new syllables, whereas another bird eventually developed six new
syllables. Twelve weeks after deafening, five of the six birds sang new
syllable types, but the number of types per bird was variable. In
general, these syllables were shorter in duration and less complex
acoustically than were most normal syllables (Fig.
8). Some new syllables also seemed to be
transient. It was common to identify a new syllable in one set of
recordings from a particular week and not to find that syllable in
recordings made in subsequent weeks.
DISCUSSION
Our results demonstrate that adult Bengalese finches, which
normally sing stereotyped and stable song, show various and profound deficits by only 1 week after deafening. Traditionally, it has been
thought that only open-ended learners depend heavily on auditory feedback for the maintenance of adult song. Furthermore, it has been
suggested that the strong dependence of open-ended learners on auditory
feedback is related to their ability to learn new songs in adulthood.
Our results show that in a species that does not normally show adult
changes in song, the neural circuitry responsible for relaying auditory
feedback plays a very important role in adult song maintenance. This
finding is consistent with preliminary observations in the same species
of changes in adult song after auditory deprivation (Okanoya et al.,
1991 ). In this way, Bengalese finches behave more like open-ended
learners than age-limited learners.
Characteristics of song degradation: implications for differential
roles of auditory feedback
The removal of auditory feedback in Bengalese finches did not
result in a complete loss of the original song. Instead, it produced
deficits that significantly altered the song. These deficits were
consistent across birds. Characteristics of degraded song that reflect
changes in the temporal patterning of song, such as sequence stereotypy
and combined syllables, appeared in the first week and were maintained
but did not significantly worsen over 12 weeks. Syllable phonology, the
characteristic that most directly reflects vocal control, did not begin
to change until after 1 week and worsened dramatically over the
following weeks. This difference in the timing of degradation of the
temporal pattern versus phonology of syllables suggests that the
circuitry responsible for songs as temporal patterns, and syllables as
separate units, may depend on auditory feedback differently.
In deafened Bengalese finches, the first syllable in a bout was most
often unchanged, i.e., the same as it had been with hearing intact. By
6 weeks after deafening, however, the remaining syllables in a song
bout were sung in nearly random configurations. This finding suggests
that for a Bengalese finch, hearing itself sing one syllable could be a
cue for "remembering" which syllable to sing next. In this scheme,
the removal of auditory feedback would result in the sudden loss of
syllable sequence stereotypy that we observed. The more gradual
degradation in syllable phonology demonstrates a more classical role of
auditory feedback. In our deafened birds, syllables only became poorly
modulated and noisy over time; repetitions of the same elements or
notes within syllables increased and decreased in fundamental
frequency. Such deficits are commonly reported in human vocalizations
when hearing is impaired and are thought to be indicative of vocal
control loss (Waldstein, 1990 ; Cowie, 1992 ). Thus, it seems that
auditory feedback is also used to maintain stable syllables by
continually correcting and refining vocal output to match previous
iterations of the same syllable or to match a "memory" of what that
syllable should be.
Auditory and proprioceptive feedback
Proprioceptive input from the vocal organ is another potential
means by which sensory feedback can affect song production. Zebra
finches undergo marked changes in song behavior after peripheral nerve injury and regeneration (Williams and McKibben, 1992 ). After the
tracheosyringeal nerve that innervates the syrinx (nXIIts) is injured,
song degrades immediately by showing changes in syllable phonology,
although timing and syllable sequence are maintained. Over subsequent
weeks, finches with nerve injury recover syllable phonology but show
other deficits similar to those of our deafened birds. Williams and
McKibben (1992) reported that syllables were dropped and birds sang
combined and new syllables postoperatively. The results of this study
also resemble our results in that degradation of syllable phonology and
degradation of song temporal patterning are separated with respect to
the timing of onset. In this way, both studies indicate that different
feedback processes may be involved in adult song maintenance or that
different behavioral processes may differentially depend on
feedback.
Some deficits resulting from nXIIts injury did not improve after nerve
regeneration. Williams and McKibben (1992) reported that the temporal
patterning changes observed over 100 d after nerve injury
stabilized in a permanently altered pattern. It should be noted,
however, that these results are somewhat difficult to interpret because
tracheosyringeal nerve injury most likely damages both sensory and
motor fibers. Stabilization of an altered song after the removal of
proprioceptive feedback and after nerve regeneration suggests that
zebra finches may not possess a stored memory for song that can be
accessed and used to recapitulate song with restored proprioceptive
feedback. In light of this, it would be interesting to determine the
effects on song in Bengalese finches of removing and then restoring
auditory feedback.
Comparative effects of deafening on song
We observed changes in Bengalese finch song by 1 week after
deafening. Nottebohm et al. (1976) reported changes in one adult male
canary's song also by 1 week after deafening. Although each of these
species seems to show rapid changes in song after deafening, the
characteristics of song changes are different. Canaries seem to
maintain the order of syllables after deafening but show rapid breakdowns in the phonology of syllables. Over 13 months after deafening, syllable phonology changed drastically. Bengalese finches, on the other hand, show significant changes in syllable order by 1 week
after deafening but do not show significant changes in syllable
phonology until at least 2 weeks after deafening. Thus, it seems that
the only two shared features of song degradation between Bengalese
finches and canaries are the timing of onset and the continual
degradation of syllable phonology after deafening.
Our results agree in part with those of an earlier study showing that
another age-limited learner, the zebra finch, requires auditory
feedback for the long-term maintenance of adult song (Nordeen and
Nordeen, 1992 ). Between 6 and 8 weeks after deafening, zebra finches
begin to lose the ability to sing stable, stereotyped song. Bengalese
and zebra finches are two species of estrildid finch so similar with
respect to song learning that they can be cross-tutored (Clayton, 1987 ,
1988 , 1989 ). Considering this similarity, it might be reasonable to
assume that the neural circuitry for song is very similar between them.
It is striking, however, that these two species differ in the timing
and characteristics of song degradation after surgical deafening.
First, song degradation in zebra finches is not consistently present
until 6-8 weeks after surgery. Bengalese finches show marked deficits
only 1 week after surgery. Thus, Bengalese finches seem to depend more
heavily on hearing to maintain stereotyped song than do zebra finches.
Second, the specific characteristics of song degradation seem to differ between the two species. The major deafening-induced deficits in zebra
finch song are changes in syllable phonology (Nordeen and Nordeen,
1992 ). By 16 weeks after cochlear removal, only 10.9% of syllables
were judged the same as, and 30.2% were judged highly similar to,
preoperative syllables. In contrast to zebra finches, the earliest and
most obvious deficit for Bengalese finches is a loss of stereotypy in
syllable sequences. This direct comparison, however, is somewhat
difficult to make because many Bengalese finch syllables are sets of
elements as opposed to the shorter zebra finch syllables. We also
observed major changes in syllable phonology that appeared later than
did syllable sequence deficits and worsened over the 12 weeks. In both
species, dropped and combined syllables as well as the appearance of
new syllables were observed, but these characteristics, again, appeared
later postoperatively in zebra finches than in Bengalese finches. Our
results, together with those of Nordeen and Nordeen (1992) , present
convincing evidence that not all age-limited learners possess fixed
motor circuitry for the continued production of stereotyped song. Some
age-limited song-learning species do not change song significantly
after deafening. For example, Konishi (1965) deafened one adult male
white-crowned sparrow and found that its song had changed very little
18 months after deafening. There seems to be wide variation among avian species with respect to dependence on auditory feedback for adult song
maintenance. It will be of interest to assess song maintenance in other
age-limited species.
Conclusions
These results document rapid changes in adult song in an
age-limited song-learning species after deafening. These findings indicate that the Bengalese finch could become an advantageous model
for studying the influence of auditory feedback on song. Differences
between Bengalese finches and closely related zebra finches are
surprising considering how similar these birds are in other respects.
Direct comparisons of species that show similar song-learning patterns
but that seem to differ in the neural mechanisms used to maintain adult
song could be helpful in determining the forebrain regions in which
sensory information influences motor control and memory of stereotyped
song. Additionally, our work indicates that the general principles by
which we classify types of song learning may change with further
investigation of the experiential and neural mechanisms for song in
more species. We suggest, as have others (Brenowitz and Kroodsma,
1996 ), that an understanding of the neural basis of song in birds will
benefit greatly from increasing the number of the species studied.
Examining song system circuitry in various species that exhibit
different behavioral characteristics could help elucidate which brain
regions are important for specific aspects of song learning and
maintenance.
FOOTNOTES
Received March 17, 1997; revised May 19, 1997; accepted May 27, 1997.
This work was supported by National Institutes of Health Grants DC00520
and GM07108. We thank Michael Beecher, Sarah Bottjer, Eliot Brenowitz,
and Mark Konishi for their valuable advice and contributions to this
work.
Correspondence should be addressed to Dr. Edwin W Rubel, Neurobiology
and Behavior Program and Virginia Merrill Bloedel Hearing Research
Center, Box 357923, University of Washington, Seattle, WA
98195.
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