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The Journal of Neurophysiology Vol. 82 No. 6 December 1999, pp. 3506-3526
Copyright ©1999 by the American Physiological Society
1Epstein Laboratory, Coleman Laboratory, Department of Otolaryngology, University of California, San Francisco 94143-0732; and 2Communicative Disorders Department, San Francisco State University, San Francisco, California 94132
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ABSTRACT |
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Raggio, Marcia W. and Christoph E. Schreiner. Neuronal Responses in Cat Primary Auditory Cortex to Electrical Cochlear Stimulation. III. Activation Patterns in Short- and Long-Term Deafness. J. Neurophysiol. 82: 3506-3526, 1999. The effects of auditory deprivation on the spatial distribution of cortical response thresholds to electrical stimulation of the adult cat cochlea were evaluated. Threshold distributions for single- and multiple-unit responses from the middle cortical layers were obtained on the ectosylvian gyrus in three groups of animals: adult, acutely implanted animals ("acute group"); adult animals, 2 wk after deafening and implantation ("short-term group"); adult, neonatally deafened animals ("long-term group") implanted after 2-5 years of deafness. For all three groups, we observed similar patterns of circumscribed regions of low response thresholds in the region of primary auditory cortex (AI). A dorsal and a ventral region of low response thresholds were found separated by a narrow, anterior-posterior strip of elevated thresholds. The two low-threshold regions in the acute and the short-term group were arranged cochleotopically. This was reflected in a systematic shift of the cortical locations with minimum thresholds as a function of cochlear position of the radial and monopolar stimulation electrodes. By contrast, the long-term deafened animals maintained only weak or no signs of cochleotopicity. In some cases of this group, significant deviations from a simple tri-partition of the dorsoventral axis of AI was observed. Analysis of the spatial extent of the low-threshold regions revealed that the activated area in acute cases was significantly smaller than the long- and the short-term cases for both dorsal and ventral AI. There were no significant differences in the rostrocaudal extent of activation between long- and short-term deafening, although the total activated area in the short-term cases was larger than in long-term deafened animals. The width of the narrow high-threshold ridge that separated the dorsal and ventral low-threshold regions was the widest for the acute cases and the narrowest for the short-term deafened animals. The findings of relative large differences in cortical response distributions between the acute and short-term animals suggests that the effects observed in long-term deafened animals are not solely a consequence of loss of peripheral innervation density. The effects may reflect electrode-specific effects or reorganizational changes based on factors such as differences in excitatory and inhibitory balance.
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INTRODUCTION |
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Use of cochlear implants for the treatment of
deafness has revealed significant improvements for auditory
capabilities for both pediatric and adult recipients. Some patients
only gain improved lip-reading ability or environmental sound
awareness, whereas others experience significant increases in speech
understanding (Hollow et al. 1995
; Skinner et al.
1997
; Tyler et al. 1997
). Implanted children
demonstrate differing levels of auditory ability depending on a number
of factors, including age at onset of deafness, duration of deafness,
age at implantation, length of time implanted, speech-processing
strategy, educational environment, degree of aural/oral habilitative
training, and family support (Cowan et al. 1995
;
Miyamoto et al. 1994
; Osberger et al.
1998
; Snik et al. 1997
; Tyler et al.
1997
; Waltzman 1997
). Duration of deafness, age
at implantation, and duration of implant use also play a major role in
adult implant performance (Blamey et al. 1996
;
Dawson et al. 1992
). The percentage of adults and
children who enjoy considerable open speech understanding appears to be
growing with improvements in the number of sound-processing channels
and speech-processing algorithms (Brill et al. 1997
;
Dorman and Loizou 1998
; Hollow et al.
1995
; Whitford et al. 1995
; Wilson et al.
1991
; Zimmerman-Phillips et al. 1997
). Adults
with congenital deafness, however, do not appear to make significant
progress in this area, although congenitally and perilingually deafened
pediatric implantees perform progressively better, in terms of speech
reception and production, the longer they are implanted and stimulated
(Manrique et al. 1995
; Tyler et al. 1997
;
Waltzman 1997
; Zimmerman-Phillips et al.
1997
; Zwolan et al. 1996
).
These observations suggest that several factors contribute to patient
performance including length of sound deprivation, stimulation history,
cognitive learning abilities, and capacity for auditory plasticity. The
effects of auditory deprivation, particularly profound deafness, on the
auditory system have demonstrated clear changes in the central auditory
pathway, including spiral ganglion cell degeneration, shrinkage of
auditory brainstem neurons, reduction in auditory brain stem neuron
number, aberrant neural projections, and physiological responses as
well as reductions in metabolic activity (Hinojosa et al.
1987
; Nadol et al. 1989
; Otte et al. 1978
; Reuter et al. 1997
). An important factor
is the age at which deafness occurs (Silverman and Clopton
1977
; Webster 1983
, 1988
). Significant
reductions in the number of auditory brainstem neurons has been
observed when the loss occurs in early life (Webster and Webster
1977
) versus those that occur in adults (Moore
1994
; Trune 1982
). There is only rudimentary
maintenance of the cochleotopic organization of primary auditory cortex
(AI) after congenital deafness (Shepherd et al. 1997
).
Therefore although it seems clear that variations in speech
understanding can be attributed to issues surrounding electrode design,
speech coding strategies, and stimulus characteristics, it appears that
anatomic limitations, and subsequent physiological alterations in
central auditory nervous system processing capacities, also can be
responsible for patient performance (Ponton et al. 1996
;
Shepherd et al. 1997
).
To begin to understand the effects of auditory deprivation on
performance and the efficacy of electrical stimulation on the organization or reorganization of the auditory system, it is essential to evaluate the physiology of the central auditory system in animals deafened for different lengths of time and using various electrical stimulation strategies. Two main issues must be addressed: what is the
effect of age of deafness onset and duration on the functional organization of central auditory stations and how does chronic, patterned, electrical stimulation effect that organization. We have
begun to explore these issues in an animal model at the level of AI.
Fundamental to the answer to these questions is an appreciation of the
basic yet systematic, physiological properties of AI. A number of
acoustical studies have been conducted in cat AI that revealed several
physiological properties with distinct spatial distributions.
Microelectrode studies of spectral distributions in cat AI neurons
(Merzenich et al. 1975
; Reale and Imig
1980
) have revealed an orderly representation of characteristic
frequency across the rostrocaudal dimension of AI and a variation in
spectral selectivity and sensitivity along the dorsoventral dimension
of AI (Heil et al. 1992
; Mendelson et al.
1997
; Schreiner and Mendelson 1990
;
Schreiner and Sutter 1992
; Schreiner et al.
1992
).
These distributions demonstrate that physiological responses in primary auditory cortex, using acoustic stimulation, offer a systematic functional framework against which the central representation of peripheral electrical stimulation can be compared. For that reason, as well as the fact that reorganizational capacities may be more strongly expressed at the cortical level relative to the subcortical stations, AI was chosen as an appropriate central auditory site to measure the responses of neurons to multielectrode cochlear implant stimulation.
The current study was undertaken as an initial effort to evaluate the questions: 1) how are responses from cochlear implant stimulation spatially represented in AI? 2) How are these representations affected by acute implantation with possible, partial hair cell survival and complete spiral ganglion cell survival? 3) How are these representations affected by short-term deafening and complete spiral ganglion cell survival? And 4) how are these representations affected by long-term neonatal deafening with a high degree of degeneration of spiral ganglion cells?
Some of the most relevant parameters for implants served as independent variables: location of stimulation, spatial pattern of stimulation (monopolar, bipolar, radial, longitudinal), and duration and onset of deafness. Dependent variables include: sensitivity to electrical stimulation (response threshold) and spatial distribution of response sensitivity across primary auditory cortex.
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METHODS |
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Most technical details of this study have been described in some
detail in previous reports from this series of studies (Raggio and Schreiner 1994
; Schreiner and Raggio 1996
)
and therefore will be summarized only briefly.
Neuronal responses in the auditory cortex evoked by electrical stimulation of the cochlea were recorded from the right hemisphere of healthy, adult cats (Felis catus) after each animal received a left scala tympani cochlear implant. Animals were segregated into three groups according to the duration of deafness. The first group consisted of five adult, neonatally deafened cats that were implanted between 2 wk and 4 mo before the electrophysiological evaluation and studied 33-69 mo after birth ("long-term group"). Two of the five long-term deafened animals (K55 and K56) received chronic electrical stimulation of the cochlear implant for 2-4 mo immediately before the electrophysiological evaluation of cortex. Both animals were stimulated for 2-6 h/day either passively or as part of behavioral detection or discrimination tasks. The two other groups were normal hearing adult cats that were either implanted acutely ("acute group," n = 7) or deafened and implanted 2 wk before study ("short-term group," n = 5).
Deafening procedures
Before implantation of the intracochlear electrode and recording
from cortical cells, the animals were deafened using one of three
procedures. For the long-term group, beginning 24 h after birth,
intramuscular injections of neomycin sulfate were administered for
16-21 days at 50 mg · kg
1 · d
1 (Snyder et al. 1990
). For the
acute group, monaural hearing loss was induced by insertion of the
stimulation electrode into the scala tympani (n = 6) or
by intrascalar injection of neomycin sulfate (50 mg/ml) followed by
electrode insertion (n = 1) several hours before
recording from auditory cortex. In animals deafened by electrode
insertion, an electrically evoked auditory brain stem response (EABR)
was measured several hours after insertion. The EABR was not tracked
over time because earlier studies (Hartmann et al. 1984
;
Snyder et al. 1990
) have suggested that there is little
difference in the physiological behavior, EABR thresholds, and waveform
of responses in inferior colliculus neurons between acutely deafened
and implanted animals and animals that had not been deafened, but
acutely implanted. For the short-term group, bilateral deafening was
induced by a single subcutaneous injection of kanamycin (400 mg/kg)
followed by a subcutaneous injection of aminooxyacetic acid (AOAA) (25 mg/kg) (Leake et al. 1987
) or slow iv administration of
ethacrynic acid (10-25 mg/kg) (Xu et al. 1993
).
Implantation and surgery
Animals of the acute group underwent cochlear implantation under
nonsterile conditions several hours before recording from cortical
neurons. Animals from the short- and long-term group were implanted
under sterile conditions
2 wk before the electrophysiological mapping
experiment. Animals were sedated with an intramuscular injection of a
4:1 mixture of ketamine hydrochloride (10 mg/kg) and acepromazine
maleate (0.10 mg/kg). After venous cannulation, an initial dose of
pentobarbital sodium (15-30 mg/kg iv) was administered. Anesthesia was
maintained at areflexic levels with supplementary intravenous
injections of pentobarbital sodium and during experimental procedures
with a continuous infusion of pentobarbital sodium (2 mg · kg
1 · h
1 ) in
lactated Ringer solution (infusion volume ~3.5 ml/h). The animals
also were administered dexamethasone sodium phosphate (0.14 mg/kg),
atropine sulfate (0.04 mg/kg im), and prophylactic antibiotic treatment
(Penicillin G100K units). A tracheotomy was performed and a tracheal
tube placed to ease breathing. The body temperature of the animals was
maintained at 37.5°C by means of a heated water blanket with feedback
control. An elliptical incision was made through the scalp and a
posterior temporalis muscle flap created. The bulla then was exposed
and opened, thereby exposing the round window. The round window
membrane was opened and the intracochlear electrode inserted into the
scala tympani. Once in place, the silastic electrode carrier was
secured to the promontory and under the temporalis flap using a butyl
cyanoacrylate adhesive (Histocryl).
The animal's head was mounted in a standard mouth-bar head holder. The temporalis muscle was then retracted and the right lateral cortex was exposed. Because the area of the basilar membrane subtended by the scala tympani electrode was restricted to the most basal 8 mm, only the presumed central and rostral-most sectors of primary auditory cortex were exposed and mapped. The exposed cortical region was covered with silicone oil and a video image of the surface vasculature obtained. Electrode penetration sites were marked on a video picture of the cortical surface.
Stimulus generation and presentation
Electrical pulse stimuli were generated and controlled by a
signal processing computer (TMS32010) and converted to an analogue signal by a 16 bit D/A converter running at a 60-kHz sampling rate. A
low impedance attenuator was used to control electrical current in a
range from 1 µA to 30 mA (Vureck et al. 1981
). Stimuli then were delivered to an electrode pair switch box connected by cable
to the electrode connector at the animal's head. Electrical stimuli
consisted of capacitively coupled, charge balanced, biphasic square
wave pulses of 200 µs/phase, delivered at 1-2 pps and with an
interstimulus interval of 500-1,000 ms. Electrical current levels are
expressed in dB re 100 µA.
Recording procedure
Experiments were conducted in a double-walled, sound-shielded
room (IAC). Parylene-coated tungsten microelectrodes (Microprobe) with
impedances of ~0.8-1.2 M
at 1 kHz were introduced into the auditory cortex with a hydraulic microdrive (KOPF) remotely controlled by a stepping motor. All penetrations were essentially orthogonal to
the brain surface. The recordings reported here were obtained at
intracortical depths ranging from 850 to 1,050 µm, as determined by
the microdrive setting after correction for "dimpling" of cortical surface. (That is, when significant dimpling was observed with electrode insertion, the electrode was advanced ~600 µm deeper and
then withdrawn until the cortical surface was again flat, before the
depth was accepted as truly within the intended 850- to 1,050-µm
range). Activity of small clusters of neurons or single neurons was
amplified, band-pass filtered, and monitored on an oscilloscope and an
audio monitor. Spike activity was isolated from the background noise
with a window discriminator (DIS-1, Microprobe). Threshold mapping was
the singular goal of electrical stimulation in this portion of the
study. Audiovisual criteria of minimum driven spike activity from
single units or small cluster of units were used in most cases to
determine the minimum threshold values for a current range of 30-3,000
µA. A single measure of threshold determination was made at each
penetration site using an ascending/bracketing method for each
electrode configuration. In this series, several radially and
longitudinally configured bipolar electrode pairs were stimulated as
well as several monopolar conditions with the reference electrode
placed at the neck of the animal. Several designs of scala-tympani
electrodes were used, resulting in various spacings of the bipolar
pairs and locations of the individual electrode contacts. Because only
a few actual stimulation electrode positions could be obtained at the
conclusion of the experiment, estimates of the positioning of the
electrodes was obtained relative to the electrode cuff at the round
window and the distance of the electrode contacts from the cuff.
Statistical analyses
Statistical analyses of the data were performed using Statview (Abacus Concepts). The following analyses were performed if appropriate: factorial ANOVA for condition differences; Pearson linear regression analysis for intraparametric relationships; and principal component analysis for multivariant analysis. Generally, only statistically secure results with P < 0.05 are reported.
Data representation
One method of data representation throughout these studies is
the use of two- and three-dimensional reconstructions that represent the spatial distributions of parametric responses across the primary auditory cortical surface (see Fig. 1).
These reconstructions were performed with a software package (Surfer
Golden Software) using standard methods for pseudo-three-dimensional
representation applied in geological studies to represent terrain. The
methods are based on an interpolation algorithm that weights the values of the two nearest neighboring points in each quadrant according to an
inverse square distance law and calculates the values necessary for a
complete description of the mapped area. For each recording site, the
minimum response threshold for a given electrode configuration is noted
at the corresponding site in the map. Iso-threshold contours are
determined on the basis of the spatial distribution pattern. The actual
spatial locations of the recording sites were used to generate a
two-dimensional grid of the represented area by projecting the actual
sites to the nearest grid point. A third dimension, coloring,
corresponds to the averaged local magnitude of a functional parameter
at a given site. The color code is quite faithful to the raw data, as
demonstrated in a previous paper that used the same algorithm
(Mendelson et al. 1997
). From the resulting interpolated
spatial pattern, three quantitative measures were obtained (see Fig.
1D, dashed lines): 1) the maximal caudalrostral spatial extent of the region near minimum threshold. This width of
spatial tuning (STW) was determined 6 dB above minimum threshold. Because in many cases there was a dorsal minimum and a separate, ventral threshold minimum, both STWs were obtained. Usually, there was
a single recording location with minimum threshold in either area.
However, if there were several locations with equally low thresholds,
the location yielding the widest rostralcaudal extent was used as
estimate of spatial tuning. 2) The cortical area occupied by
locations with thresholds not more than 6 dB above minimum threshold.
In Fig. 1D, thick solid lines mark the boundaries of those
regions. And 3) the width of the high-threshold ridge (RW) separating dorsal and ventral regions of local threshold minima.
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RESULTS |
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In 17 deafened cats, response thresholds to electrical cochlear
stimulation were mapped on the ectosylvian gyrus of the right cortical
hemisphere. Three groups of animals were studied that differed in the
induction method and duration of their hearing loss (see Table
1). Penetration locations were chosen to
cover evenly the high-frequency region of AI. We made an effort to keep the spacing of the penetrations between 300 and 600 µm and
approximately equal across each map to minimize spatial biases. Because
in most of these cases, no physiological measures of the actual
location of AI were available, such as the tonotopic gradient
(Merzenich et al. 1975
) or the location of the sharply
tuned region in AI (Schreiner and Mendelson 1990
),
distinct anatomic features had to serve as main landmarks. In general,
the mapping was limited to the region between the anterior and
posterior ectosylvian sulci, in the rostrocaudal direction, and between
the supra-sylvian sulcus and a line ~2-3 mm ventral to the
connection line between the dorsal tips of the anterior and posterior
ectosylvian sulci. This line is, in our experience (e.g.,
Schreiner and Cynader 1984
; Schreiner and
Mendelson 1990
; Schreiner and Sutter 1992
),
located close to the transition zone between AI and the second auditory field (AII). However, the actual extent of the mapped area depended on
several other constraints, including the extent of regions that showed
low response thresholds, a continued physiologically viable status of
the animal, as well as the specific nature of sulcal and vascular
patterns that can render certain regions inaccessible. Accordingly, the
number of penetrations and the extent of the mapped area could vary
substantially (see Table 1). The mean number of electrode penetrations
per animal was 83 ± 30 (mean ± SD; n = 17). There was no statistically significant difference between the
number of penetrations for the three groups of animals; however, the
short-term group tended, on average, to have a smaller number (69 ± 30) than the long-term group (104 ± 32) and the acute group
(77 ± 25). The mapped area was, on the average, 29.1 ± 15.8 mm2. Again, there was no statistically significant
difference between the groups, although the acute group tended to have
a slightly smaller map size (21.2 ± 8.3 mm2) than the
short-term (38.3 ± 4.1 mm2) and long-term groups
(32.3 ± 24.5 mm2).
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Pattern of threshold distribution in primary auditory cortex
For each electrode configuration of the scala-tympani electrode, a distinct spatial pattern of response thresholds across the mapped region was observed. Local regions of low-threshold responses were separated from regions with high-threshold responses or unresponsive areas. First we will provide a qualitative description of the main aspects of the spatial response distributions in AI followed by a quantitative evaluation of several prominent features of these distributions.
Examples of the reconstructed cortical response-threshold distributions for different locations and configurations of the cochlear stimulation electrodes are shown in Figs. 2-6. The response-threshold maps illustrated in Fig. 2 are from an animal that was acutely implanted and mapped immediately. The approximate location of the mapped region on the right ectosylvian gyrus is indicated as the shaded region in a small schematic plot. The threshold distributions are shown for five bipolar electrode configurations with four radial electrode pairs and one longitudinal pair. Each panel shows the interpolated threshold distribution based on 101 recording sites. The actual cortical location of each recording site is shown in the panel for the longitudinal electrode pair 1,8 (black dots). The individual threshold values were transformed onto a color code (bottom right; see METHODS). Iso-threshold contours are shown (solid lines) in increments of 4 dB, starting 4 dB above the lowest threshold value encountered for each electrode pair.
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Inspection of the different threshold distributions reveals clusters of penetrations with equally high (red to orange) or low (purple to blue) thresholds. Characteristically, along the ventraldorsal axis of the map one can distinguish two regions of lower thresholds that are separated by a narrow ridge of higher response thresholds. The rostrocaudal location of the ventral and dorsal low-thresholds regions is quite similar and depends on the cochlear location of the stimulation electrode. More basally located electrode pairs (e.g., p7,8) result in more rostrally located subregions of low thresholds than more apically located electrodes (e.g., p1,2). This relationship suggests a maintained cochleotopic organization of AI with electrical cochlear stimulation. Stimulation of the longitudinal electrode pair (Fig. 2; p1,8) results in two rostrocaudally elongated regions of low-medium thresholds. These regions include and are potentially limited by the sites of the most basal and apical radial electrode pairs. In this case, each region of low thresholds has two local minima near the location most responsive to the two individual electrode locations (electrode contacts 1 and 8). In other words, the longitudinal stimulation results in two "hot spots" as suggested by the response location of the radial pairs including those contacts. However, the threshold elevation in between the two contacts of the longitudinal pair is relatively small compared with the highest thresholds encountered in this map. A high-threshold ridge between the dorsal and ventral low-threshold regions is expressed clearly in particular for the longitudinal configuration.
Another example of threshold maps from an acutely deafened and mapped animal is shown in Fig. 3. Similar to the previous case, dorsally and ventrally located circumscribed low-threshold regions can be seen for the radial electrode pairs and a broad low-threshold region for the longitudinal pair. In this case, the ventral region of low thresholds appears smaller perhaps because it falls largely outside the mapped area. For the different radial pairs, a difference in the rostrocaudal location of the dorsal low-threshold region is again discernible. However, several features of the threshold maps are slightly different from the previous case (Fig. 2): the horizontal high-threshold ridge is wider; the rostrocaudal extent of the low-threshold region, or the spatial tuning, is wider; and stimulation of the longitudinal electrode pair produces a nearly flat threshold profile in the dorsal area, i.e., without hot spots and threshold increments between the location of the individual contacts of the longitudinal electrode pair.
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The next example shows four different maps for a short-term deafened case (Fig. 4). Although the main aspects of the maps are similar to those illustrated for the acutely deafened animals, several differences can be noted. Both dorsal and ventral regions of low thresholds appear to have a wider rostrocaudal extent than in the examples for acute deafening. The rostrocaudal location of the dorsal and ventral threshold minima do not appear to be aligned in the same rostrocaudal plane as in the acute cases. There appears to be only a slight, although still discernible, shift of low-threshold locations with radial electrode location. The high-threshold ridge between the dorsal and ventral low-threshold regions is less developed than in the acute examples. The threshold distribution pattern for a monopolar electrode configuration (p1m) is very similar to the corresponding radial pair, although its minimum threshold is ~10 dB lower. The threshold pattern for the longitudinal electrode configuration (p1,4) is also quite similar to the pattern for the monopolar electrode.
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Threshold maps for a long-termed deafened animal are shown in Fig. 5. Despite 5.67 yr of deafness, the basic threshold patterns for the different electrode configurations are quite similar to those demonstrated for the acutely deafened cases. In particular, there are two focal regions, a dorsal and a ventral, of lower thresholds separated by a horizontal ridge of higher thresholds. However, only slight shifts in minimum threshold location are apparent with change in cochlear stimulation site. The threshold pattern for the monopolar configuration does not differ substantially from those for the corresponding radial electrodes, although the minimum threshold is lower than for radial stimulation. The pattern for the bipolar longitudinal configuration is again quite similar to the two monopolar patterns of its constituent electrodes.
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A final example from a long-term deafened animal (Fig. 6) reveals that the threshold pattern can differ substantially from the previously illustrated examples. Relatively diffuse and patchy patterns of low- and high-threshold regions can be seen in long-term cases. No clearly separated or circumscribed regions of low threshold are present. Similarly, there is no clear indication of an extended horizontal high-threshold ridge, although there is a central patch of higher thresholds at a dorsoventral position compatible with the usual location of the high-threshold ridge. Overall, the thresholds generally were quite low, despite 2.75 yr of deafness. This animal showed the most idiosyncratic organization of AI of all 17 cases.
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In summary, the examples demonstrate some general principles of the spatial organization of AI for the response sensitivity to cochlear electrical stimulation. Two regions of low response thresholds, separated in the dorsoventral domain by a high-threshold ridge, generally appear with electrical cochlear stimulation. However, details of the spatial pattern, such as extent and relative location of regions with low response thresholds, can vary with the specific electrode configuration and with the deafening history of the animals. In the next sections, several specific aspects of the spatial distribution pattern will be analyzed and compared for the different experimental groups.
Electrode configuration effects on cortical response parameters
One of the potentially confounding influences on the results of this study is that several different designs of the scala-tympani electrode were used. This variability in the experimental design was due to advances in electrode technology over the extended time frame of the study (>8 yr) and limited availability of some electrode types. As a consequence, some details of the size and position of the electrode contacts as well as the longitudinal and radial spacing of the bipolar electrode configuration varied between and within experimental groups. Examples of the three main electrode types are demonstrated as schematic drawings in Figs. 2-6. The distribution of the longitudinal spacing of the actually used configurations is shown in Fig. 7 for the three deafness groups. A total of 85 stimulation configurations were used in the 17 animals, with an average of 5 conditions per animal. Fifty of these configurations were bipolar with a longitudinal spacing equal to or <1 mm. These conditions were designated as true radial or offset radial configurations. Fourteen different longitudinal configurations were used, usually defined as the widest spacing between electrode contacts that each resulted in a low-threshold response either as a monopole or as part of a radial configuration. The resulting spacing varied between 2 and 6 mm. Twenty-one monopolar configurations were tested. However, no monopolar stimulation was tested in the acute group.
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Before analyzing the effects of deafness duration and electrode
configurations on various response parameters, we determined whether
the differences in spacing of the contacts in the longitudinal electrode configurations interacted with the measured parameters. A
correlation analysis between electrode spacing and response parameters
was performed that revealed no statistically significant influence of
the degree of longitudinal spacing between 2 and 6 mm for any of the
parameters. However, there were a number of significant differences
between the narrowly spaced "radial" electrode configurations and
the more widely spaced "longitudinal" configurations as well as the
monopolar configurations. Accordingly, the following data presentation
will only distinguish among bipolar radial configuration (
1 mm
longitudinal spacing); bipolar longitudinal configuration (2-6 mm
longitudinal spacing); and monopolar configuration (extracochlear return electrode with >20 mm separation).
Cochlear electrode position effects on location of threshold minima in cortex
Among the main aspects of cortical activation patterns that can be
deduced from the example maps (Figs. 2-6) is that the cortical position of the region(s) with lowest response threshold can covary with the position of the stimulation electrode in the cochlea. We
tested the hypothesis that cortical activation by electrical cochlear
stimulation reflects the same cochleotopic organization of AI as seen
in normal, hearing animals. For that purpose, the relative relationship
between cochlear position (expressed as distance of basilar membrane in
percent from the cochlear base) and rostrocaudal cortical distance
(expressed in millimeter) had to be established. This was accomplished
by first ascertaining the relationship between cortical characteristic
frequency (CF) and relative cortical position. From eight previously
obtained CF maps of AI in normal hearing animals (689 recording
locations) (e.g., Raggio 1992
; Schreiner and
Mendelson 1990
; Schreiner and Sutter 1992
) the
CF versus cortical place information was pooled. Only CFs >5 kHz were
used, the region relevant for the current study, and the linear
regression slope of log(CF) versus cortical distance for the individual
cases was normalized to the average slope. Because only relative
distances were required for the current analysis, the CF of 6.5 kHz was
arbitrarily chosen as origin (0 mm) of the rostrocaudal cortical
position, in every case. The resulting cumulative distribution of CF
versus cortical location is plotted in Fig.
8. A fit with an exponential regression
(
) was highly significant and accounted for 90% of the variance. Combining this relationship with the known relationship between cochlear CF and basilar membrane position (Greenwood
1961
), the relationship between cortical distance
(Dcortex in millimeters) and basilar
membrane distance (Dcochlea in percent
from base) can be approximated as
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To test whether the relationship between cochlear position of
stimulation and cortical response location along the rostrocaudal axis
of AI is maintained for electrical stimulation, the cortical position
of lowest threshold for focal cochlear stimulation was obtained. The
relative cortical positions for both the dorsal and ventral threshold
minima were plotted as a function of the electrode position in the
cochlea. The location data for the radial bipolar and the monopolar
electrode configurations were combined because both showed distinct,
spatially confined threshold minima. The cortical positions for
different stimulation electrode locations first were plotted separately
for each individual case and a regression analysis was performed. The
individual regressions were adjusted to align arbitrarily the cochlear
position of 47% with the cortical position of 0 mm. After pooling the
cases relative to this reference for each of the three experimental
groups, a regression analysis was performed. Figure
9,
and equations, shows the result of that analysis separately for each group of deafness history and also
separately for dorsal and ventral locations of cortical threshold minima. The normal relationship (- - -) between cortical position and
cochlear position via the CF relationships in hearing
animals also is shown (see Fig. 8).
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With the exception of the ventral part of the long-term deafened animals, the regression lines were significantly different from zero and had the same sign as for the normal hearing animals. Consequently, the shift in cortical position with variations of cochlear stimulation locus was consistent with a maintained global cochleotopic gradient. For the dorsal threshold minima in the acute cases and the short-term deafened cases, the slope of the regression was statistically not different from the normal acoustic cases and, thus is reflecting the same cochleotopic gradient in AI as in hearing animals. For the dorsal minima in the long-term deafened cases, the cochleotopic gradient for electrical stimulation was significantly shallower than the gradient in hearing animals and also shallower than the gradients for the acute and short-term cases. Accordingly, the cochleotopic organization in dorsal AI appears to have deteriorated during long-term deprivation from sound input, although a cochleotopic tendency was still evident. In ventral AI, the distinction between the three groups is less clear. Although the cochleotopic gradient for the short-term cases appears to be the same as for normal hearing animals, the ventral gradient in the acute cases is slightly shallower than normal. By contrast, the ventral gradient for the long-term deafened group is not significantly different from zero, i.e., no cochleotopic organization is evident in this region after prolonged deafness.
It should be noted that the acute and the short-term deafened animals showed, on average, no significant difference between the rostrocaudal location of the threshold minima in dorsal and ventral AI. However, for the long-term deafened animals, there was a significant difference with the ventral threshold minimum located ~0.7 mm more rostrally than the dorsal minimum.
Effects of electrode configuration and deafness duration on minimum threshold
One of the main questions of this study was whether long-term deafening introduces a decrease in response sensitivity of cortical neurons reflected in an increase of the minimum response threshold in cortex. The lowest response threshold encountered for each electrode configuration and for each case was determined for the dorsal and ventral response minima (see Fig. 10A). Regression analysis showed that the ventral and dorsal minimum thresholds were highly correlated (R2 = 0.89; slope = 0.994, P < 0.0001). A paired t-test showed no significant difference between the minimum thresholds in these two cortical subregions. Consequently for the further analysis of threshold differences between electrode configurations and deafness histories, only the absolute minimum was considered without further distinctions between dorsal and ventral locations.
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Figure 10B shows the minimum thresholds averaged across the
three electrode configuration (
) and across the different deafness durations (
). No significant threshold difference was found between the long- and short-term deafened conditions when averaging across all
electrode configurations. However, the thresholds of the acute group
differed significantly from the short-term as well as the long-term
deafness conditions when including all tested electrode configurations.
The acute group had higher thresholds in the range of 6.5-7 dB (Fig.
10B,
). Several factors may have contributed to these
differences that will be discussed later. However, one contributing
effect may stem from the fact that in the acute group, more radial
pairs and, in particular, more basally located electrode pairs were
available to be tested than in the other cases. Some of those
additional pairs had quite high minimum thresholds, driving up the mean
minimum threshold. To test the effect of the inclusion of less
effective electrode pairs on the average minimum thresholds, only those
conditions were considered that were within 3 dB of the minimum value
found for each class of electrode configurations in each case. As a
consequence, the average thresholds for the acute group was lowered by
6.4 dB, whereas the short- and long-term thresholds were lowered by
<1.5 dB. The analysis of threshold differences between the deafness
histories for this selection criterion showed difference values of
<2dB that were no longer statistically significant.
Differences between minimum thresholds for the three different
electrode configurations across the deafness histories were found. The
radial electrode configurations had significantly higher thresholds
than both the longitudinal and monopolar configurations (Fig.
10B,
). When including all tested electrode
configurations, the differences were in the range of 7.5-8 dB, whereas
the differences were in the range of 3.6-3.7 dB when only considering
the lowest thresholds for each configuration and each case. There was
no significant difference between longitudinal and monopolar
configurations. However, it has to be kept in mind that we did not test
monopolar configurations in the acute group. There was no statistically significant interaction effect between the electrode conditions and the
deafness conditions (see Fig. 10C).
In summary, radial electrode pairs had, on the average, a higher minimum threshold than the longitudinal and monopolar conditions, whereas there was no sensitivity difference between longitudinal and monopolar stimulation. Across all stimulation configurations, there was no sensitivity difference between the different deafness groups when only considering the most sensitive electrode configuration per electrode class.
Effects of electrode configuration and deafness duration on extent of low-threshold area
As seen in the previous section, the stimulation effectiveness depended strongly on electrode position and configuration and therefore plays a major role in comparing threshold values between different experimental conditions, such as deafness history. By contrast, the comparison of the spatial distribution patterns for different electrode configurations and deafness histories is less affected because those measures do not appear to be strongly determined by absolute threshold and can be evaluated independent from minimum threshold differences. Indeed it turned out that the differences seen for the descriptors of the spatial activation pattern in AI discussed in the following sections were quite similar when considering either all electrode configurations or only those conditions with the most sensitive response in its electrode class. Accordingly, for the remaining response pattern characteristics, we shall only discuss differences between deafness histories and electrode configurations that are based on all tested electrode conditions combined.
We used several measures of the activated cortical area to evaluate the spatial extent of activation (see METHODS and Fig. 1). For this purpose, the low-threshold area was defined as that region of activated cortex that was within 6dB of the minimum threshold for a given electrode configuration. We expressed this areal measure relative to the extent of the total mapped region. Because the mapped region could vary from case to case (see Table 1), the question has to be addressed whether the absolute size of the mapped areas influenced the obtained differences between different experimental conditions. Regression analysis between map size and size of the low-threshold area showed no significant correlation. Combined with the fact that the map size between the cases of the different deafness histories was not significantly different (see preceding text), the use of a relative measure of cortical activation area can be justified.
The mean extent of the low-threshold area is shown in Fig. 11A separately for the different deafness durations and the different electrode configurations. The smallest activation area was found for the acute conditions (across all electrode configurations), and the largest area was found for the short-term deafness condition. The average short-term area was more than twice the size of the average area in the acute cases. The activation area for the long-term condition was significantly larger than the acute conditions and slightly but significantly smaller than in the short-term conditions. It is concluded that the overall size of cortical area activated at low stimulus levels is not solely dependent on the duration of deafness or, implicitly, number of surviving spiral-ganglion cells in the cochlea.
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Across all deafness histories, the radial configuration showed the smallest low-threshold activation area, whereas the areas for both the longitudinal and the monopolar conditions were ~1.5 times larger and not significantly different from each other. A factorial ANOVA test for activation area revealed no interaction between electrode configuration and deafness duration (Fig. 11B).
Effects of electrode configuration and deafness duration on spatial tuning width
Although the area of low-threshold responses is a useful measure
of the extent of cortical activation, special attention has to be given
to the spread of excitation along the cochleotopic axis. Such a measure
can be more suitable for considerations of important stimulation
aspects in cochlear implants such as channel interaction and activation
overlap than the areal measure. Accordingly, the measure of "spatial
tuning width" has been used in other auditory stations (e.g.,
Kral et al. 1998
; Snyder et al. 1990
)
(note that this measure refers to the spatial extent of activation in
auditory stations and is not to be confused with measures of sound
localization receptive fields). In the case of the auditory cortex, two
spatial tuning measures have to be considered, namely, one for the
dorsal activation region and one for the ventral region. Three examples of spatial tuning curves are shown for radial electrode configurations in Fig. 12. Rostrocaudal cross-sections
across the dorsal threshold minimum are shown for an acute case (
;
C163; p5,6), a short-term deafened case (*; C637; p2,3), and a
long-term case (
; K56; p3,4). The cortical distance axis is given
relative to the position of the threshold minimum. The spatial tuning
width is marked 6 dB above minimum threshold (- - -,
, and
). These examples demonstrate that the spatial tuning width
can vary over a wide range across the three experimental conditions.
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The mean spatial tuning width for the different conditions are shown in Figs. 13 and 14 for dorsal and ventral AI, respectively. Across all electrode configurations, the acute cases were significantly more narrowly tuned than the long-term and the short-term cases for both dorsal and ventral AI. In contrast to the activation area, there were no differences in spatial tuning width between long- and short-term deafening.
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Across all deafness groups, the radial electrode configurations showed narrower tuning than the longitudinal configuration in ventral AI but not in dorsal AI. This difference was also significant for the dorsal part of AI when only considering the acute cases (Fig. 13). However, it appears that these differences were largely due to several very narrowly tuned acute cases. When the acute cases are excluded from the comparison, no significant difference between different electrode configurations can be seen. There were no significant differences in spatial tuning between the longitudinal and monopolar electrode configurations for the short- and long-term cases. No interaction between configuration and deafness duration was evident (Figs. 13B and 14B).
Effects of electrode configuration and deafness duration on high-threshold ridge
A common feature in the distribution of activity across AI
was a narrow ridge of high-threshold or unresponsive locations spanning
usually the whole rostrocaudal length of the mapped areas. This ridge
separated the dorsal from the ventral low-threshold regions (see Figs.
2-6). The width of the ridge measured along the dorsalventral axis 12 dB above minimum threshold varied quite dramatically between some of
the configurations. Examples of cross-sections of the central
high-threshold ridge are illustrated in Fig.
15 for radial electrode configurations.
Ventraldorsal threshold-profiles running through the dorsal and/or
ventral threshold minima are shown for an acute case (
; C163; p5,6),
a short-term deafened case (*; C325; p3,3a), and a long-term case (
;
K56; p3,4). The width of the ridge is indicated (- - -). In a few
cases, no central ridge could be observed, or the ridge showed
interruptions that prevented fulfillment of the criteria to establish a
width measure. Usually the ridge width was determined along a line
between the dorsal and ventral location with the lowest threshold that
was oriented perpendicular to the main direction of the ridge. The mean
width of the central ridge is shown in Fig.
16 for different deafness durations and
different electrode configurations. Quite substantial differences in
the ridge width were seen between the acute cases and the short-term
cases with an average width for the short-term cases of <25% of the
acute cases. An almost equal difference was seen between long- and
short-term cases, whereas acute and long-term cases were not
significantly different.
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For the different electrode configurations, the only significant difference in the ridge width was that the radial configuration produced a broader ridge than the monopolar configurations. This difference is still evident when only considering the short- and long-term cases, since no monopolar conditions were tested in the acute cases. There was no statistically significant interaction between electrode configuration and deafness duration (Fig. 16B).
Does chronic electrical stimulation influence activation parameters in long-term deafened animals?
Two of the five long-term deafened animals (K55 and
K56) received chronic electrical stimulation of the cochlear
implant for 2-4 mo immediately before the electrophysiological
evaluation of cortex (see METHODS). Prolonged chronic
stimulation in younger animals has been reported to result in changes
in the spatial pattern and other response characteristics in the
inferior colliculus (Snyder et al. 1990
) and the
auditory cortex (Dinse et al. 1997b
). The cortical
response parameters for these two animals were mostly within the range
of the unstimulated animals. Only K56 had slightly higher
thresholds and a smaller area of activation than the other long-term
cases. To test whether exclusion of these two animals from the
comparative analysis of the deafness groups would change the general
conclusions drawn for all five long-term animals, we repeated the
factorial ANOVA analysis without the stimulated cases. Although some of
the mean parameter values for the long-term group changed slightly, the
pattern of statistically significant differences between the deafness
groups and the electrode groups remained unchanged. The effects of
chronic electrical stimulation on cortical responses will be presented
elsewhere in detail and for a larger group of animals.
Correlation analysis of parameters
A correlation analysis between the main measures across all electrode and deafness conditions is useful to estimate the shared information provided by the different, often arbitrarily selected response descriptors. This analysis revealed a number of covariances between measures of response sensitivity, cortical location of activation, and extent of activation. The correlation coefficients and the significance values are shown in Table 2. Not surprisingly, all measures taken independently for dorsal and ventral AI, such as minimum threshold, spatial tuning width, and rostrocaudal position, were highly correlated (see Table 2). Measures of cortical extent of activation, namely spatial tuning width, low-threshold area, and width of the high-threshold ridge, moderately covaried. The wider the spatial tuning, the larger was the activation area and the narrower was the high-threshold ridge. Additionally, there was a modest correlation between response threshold for either dorsal or ventral AI and the rostrocaudal position of the minimum threshold in dorsal AI but not in ventral AI. Weak correlations existed between most parameters with the exception of the rostrocaudal position of minimum threshold in ventral AI, which appeared not to be correlated with any of the other parameters other than the dorsal position. The dorsal minimum threshold was also independent from dorsal spatial tuning.
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To determine objectively which of the obtained measures of the spatial
excitation patterns provide necessary and independent information, a
principal component analysis was performed for all electrode
configurations and deafness durations. From the eight response measures
(see Table 2), three orthogonal or independent factors
(Eigenvalues > 1.0) emerged that accounted for 80% of the total
variance of the data. The parameters associated with the different
factors all had a load on their corresponding factors >0.56, i.e., the
variance in the factor values accounted for
75% of each contributing
parameters variance. The grouping of the parameters reflects the
strength of correlations between the parameters as given in Table 2.
The strongest factor (F1) accounted for 46% of the total variance and
comprised four measures related to areal aspects of the activation
pattern: low-threshold area (load: 0.89), spatial tuning width for
ventral (0.84) and dorsal (0.81) AI, and the width of the
high-threshold ridge (
0.60). The second strongest factor (F2)
accounted for 20% of the variance and corresponded to three
parameters: minimum response threshold in dorsal (0.95) and ventral
(0.93) AI and the rostrocaudal position of the dorsal threshold minimum
(0.59). F2 was dominated by response sensitivity measure but also
reflected a moderate correlation between cochleotopic position and
response threshold. The remaining factor (F3, 14% of variance) was
composed of the rostrocaudal position of the ventral (0.96) and dorsal
(0.66) threshold minima reflecting the overall cochleotopic
organization of AI. The dorsal position measure was the only one that
contributed about equally to more than one factor (F2 and F3).
In summary, across all experimental conditions the measures applied in this study captured three independent factors, namely, position, extent, and sensitivity of cortical activation by cochlear electrical stimulation. However, because of the spatial complexity of the activation pattern, the use of several measures for extent and shape of the activation distribution can be useful.
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DISCUSSION |
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The goal of this study was to evaluate parametrically the extent of cortical activation by peripheral electrical stimulation with a particular emphasis on studying the effects of different lengths of deafness duration on neuronal response threshold in the adult cat. The first group was composed of animals that were deafened shortly after birth, and, with the exception of two animals, had only the most minimal experience with sound over their lifetimes. The comparison groups were adult animals with normal hearing experience that were studied acutely or deafened 2 wk before being studied. The interaction of electrode configuration with deafness duration and response threshold was an integral part of the study as well.
These studies demonstrated two circumscribed regions of low response thresholds to cochlear stimulation on the ectosylvian gyrus. These two regions are separated dorsalventrally by a narrow ridge of high response thresholds. Although details of the spatial patterns of threshold representation varied considerably across deafness histories and electrode configurations, this functional partition reflects some general principles regarding the spatial organization of AI for the r