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The Journal of Neuroscience, December 15, 2002, 22(24):11045-11054
Evidence for Sequential Decision Making in the Medicinal Leech
Teresa
Esch1,
Karen A.
Mesce2, and
William B.
Kristan1
1 Section of Neurobiology, Division of Biological
Science, University of California, San Diego, La Jolla, California
92093, and 2 Departments of Entomology and Neuroscience,
University of Minnesota, St. Paul, Minnesota 55108
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ABSTRACT |
Decision making can be a complex task involving a sequence of
subdecisions. For example, we decide to pursue a goal (e.g., get
something to eat), then decide how to accomplish that goal (e.g., go to
a restaurant), and then make a sequence of more specific plans (e.g.,
which restaurant to go to, how to get there, what to order, etc.). In
characterizing the effects of stimulating individual brain neurons in
the isolated nervous system of the leech Hirudo
medicinalis, we have found evidence that leeches also make
decisions sequentially. In this study, we describe a pair of
interneurons that elicited locomotory motor programs, either swimming
or crawling, in isolated nerve cords. In semi-intact animals,
stimulating the same neurons also produced either swimming or crawling,
and which behavior was produced could be controlled experimentally by
manipulating the depth of saline around the intact part of the leech.
These same neurons were excited and fired strongly when swimming or
crawling occurred spontaneously or in response to mechanosensory
stimulation. We conclude that these brain interneurons help to decide
on locomotion (i.e., they are "locomotory command-like neurons")
and that the ultimate behavior is determined downstream, in a part of
the decision-making hierarchy that monitors stimuli related to the
depth of fluid surrounding the leech.
Key words:
choice behavior; leeches; neural circuits; motor
patterns; multifunctional neurons; locomotion
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INTRODUCTION |
Animals continually assess their
surroundings and make behavioral adjustments to act appropriately under
current conditions. An animal selects a goal, on the basis of
internal drives and external conditions, that helps it to survive
(Tinbergen, 1951 ). Sometimes animals must choose between two
conflicting goals: a hungry animal might abandon eating to avoid being
captured by a predator. Different tasks can be used to achieve a
selected goal, and each task can take different forms (Stein et al.,
1986 ). For example, to escape predation an animal could locomote
through water or over land. Locomotion over land could take several
forms, such as crawling or running. An animal must use sensory
information to inform its decisions about which form of which task to
use if it is to achieve its current goal. How these decisions are made
should be reflected in the neural architecture. At one extreme, decisions about goal, task, and form may be made independently, at
separate neural locations. At the other extreme, sensory information could trigger one form of a task directly, with no overt choice about
goal or task ever being made.
Because invertebrate nervous systems are more accessible experimentally
and have fewer neurons than vertebrate brains, they can yield insight
into the mechanisms of behavioral choice that are difficult to study in
higher vertebrates (Glimcher, 2001 ; Schall, 2001 ). Although
invertebrates surely do not engage in the cognitive processes that
human introspection considers "decision making," they do exhibit
the behavioral manifestation of choice: they predictably do one thing
or another, in one way or another, in response to complex stimuli.
Therefore, even simple organisms engage in a process akin to decision
making. Understanding the neuronal events underlying simple behavioral
choices can help us understand decision making in higher animals.
The leech is an excellent model system for studying behavioral choice.
Leeches exhibit simple reflex behaviors, including local bending
(Lockery and Kristan, 1990 ) and whole-body shortening (Shaw and
Kristan, 1995 ), as well as complex, modifiable behaviors such as
swimming (Kristan et al., 1974 ) and crawling (Eisenhart et al., 2000 ).
These behaviors can be elicited, and their circuit-level interactions
can be studied in both isolated nerve cords and semi-intact preparations. Such studies have indicated that each of several leech
neurons is active in multiple behaviors. The mechanisms that effect
switching between behaviors have begun to be described (Shaw and
Kristan, 1997 ).
Several neurons capable of initiating behavior have somata located in
the leech's subesophageal ganglion and possess axons that project the
entire length of the nerve cord (Brodfuehrer and Friesen, 1986 ;
Brodfuehrer and Burns, 1995 ; Brodfuehrer et al., 1995b ). To date, all
identified command-like neurons in the subesophageal ganglion either
initiate or terminate swimming. Studies of shortening, however, have
suggested that command-like neurons for this behavior also are located
in the subesophageal ganglion (Shaw and Kristan, 1999 ). These
observations suggest that the subesophageal ganglion may contain
neurons capable of initiating several behaviors.
In this study, we located candidate decision-related neurons in
the subesophageal ganglion of the leech by retrograde labeling of
long-distance projection neurons. In a preliminary report (Esch and
Kristan, 2002 ), we described one of these neurons, which initiates both
swimming and crawling motor patterns in isolated nerve cords. We now
present more extensive data, using semi-intact preparations, that
confirm the previous data and demonstrate that which behavior the
neuron elicits can be controlled experimentally by changing the saline
level in the recording chamber. These data support a serial model of
behavioral choice in which the decision to locomote (the task) is made
before the decision about what form of locomotion to produce.
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MATERIALS AND METHODS |
Animals
Adult Hirudo medicinalis weighing 2-5 gm were
obtained from Leeches USA (Westbury, NY) or Zaug (Biebertal, Germany)
and were maintained in artificial pond water at 15°C. The general
experimental methods were as described previously (Kristan et al.,
1974 ).
Preparations
Isolated nerve cord preparation. Leeches were
anesthetized in chilled leech saline (Nicholls and Purves, 1970 ). The
entire nerve cord, including the supra-esophageal and
subesophageal ganglia, the 21 midbody ganglia, the tail brain, and the
interganglionic connectives, were dissected from the leech. Dorsal
posterior (DP) nerves were dissected away from the body tissue and left
attached to the ganglia in one to two segments, usually between ganglia 7 and 16. The ventral blood sinus was dissected away from the subesophageal ganglion, one to two midbody ganglia, and one to two
sections of connective. The remainder of the sinus was left in place.
The nerve cord was pinned in a Sylgard-coated 60 mm tissue culture dish
and bathed in leech saline. The sheath covering the subesophageal
ganglion was removed, as was the sheath covering the segmental ganglia
when segmental interneurons were recorded. In some cases, the leech
nerve cord was transected posterior to ganglion 17 or 18, with no
apparent effect on the results.
Semi-intact preparation. Leeches were anesthetized in
chilled leech saline. A small incision was made near the posterior
sucker, and nerves innervating the sucker were severed to prevent its attachment to the substrate. A second incision was made in the second
annulus of segment 4. The incision was extended anteriorly to expose
the nerve cord, which was dissected from the surrounding tissue,
including the ventral sinus, anterior to ganglion 4. The DP nerves of
segment 3 were dissected from the body wall and left attached to the
ganglion, and the nerves of ganglion 4 were severed. Much of the
connective and muscle tissue within segment 3 was then removed, and the
entire body wall anterior to segment 3 was removed. This resulted in a
mostly intact preparation with the subesophageal ganglion and first
three ganglia exposed, and a flap of denervated skin attached to the
anterior end. The flap of skin was used to pin the preparation in a
wax-filled, rectangular recording chamber. The chamber was filled with
leech saline to various levels as follows. In "low" saline most of
the body of the leech was exposed to air, but the nerve cord was
submerged. In "high" saline levels, the entire leech was submerged.
Generally, in "intermediate" levels the leech was submerged when
fully elongated, but the leech would emerge partially from the saline
when it was swimming or when it was fully shortened. Because the size
of leeches varied, the absolute levels of saline in each category also varied.
Denervated leeches. For some behavior experiments, nerves to
the head brain were severed. The leeches were anesthetized with saline
containing 8% ethanol. The skin dorsal to the head brain was opened,
and nerves were severed. Care was taken to minimize damage to
surrounding tissue. The skin was then sutured closed with surgical
threads, and leeches were allowed to recover for at least 24 hr in
artificial pond water.
Behavior of intact and denervated leeches.
To study the effects of water level on the form of locomotion
produced by intact and denervated leeches, leeches were monitored in a
Plexiglas behavior arena measuring 49 × 4.5 × 7 cm
(length × width × height) and containing different amounts
of water (0-1000 ml). Six leeches were tested on 3-4 d over a 2 week
period, both before and after denervation (described above). Before
placing a leech in the arena, we manually agitated the leech to promote activity. At each water level tested, we attempted to induce the leech
to locomote across the length of the arena at least four times. If a
leech did not locomote, it was prodded with a wooden dowel.
Occasionally a leech would not locomote at all and would be removed
from the chamber. Leeches were removed from the arena before the water
level was changed.
The different forms of locomotory behaviors were quantified as a
proportion of the total number of locomotory episodes. A locomotory
episode was defined as a locomotory movement beginning with front
sucker detachment and ending with rear sucker placement (Cacciatore et
al., 2000 ). Therefore, each step of crawling was considered a
locomotory episode, whereas searching movements were excluded. A swim
movement was considered a swim/crawl step if it resulted in locomotion
less than half the length of the arena, with subsequent sucker
attachment and body shortening; otherwise, it was classified as
"swim." The proportion of behaviors in each category for each water
level was calculated independently for each leech for each day of
testing. If the leech failed to locomote during the session, zero was
entered for all three categories.
Electrophysiology and behavior
Connective and DP nerve recordings were made with glass-tipped
suction electrodes. Connectives were recorded en passant
between two ganglia, generally between four and five in isolated cords and between two and three for semi-intact preparations. Intracellular recordings were made with sharp microelectrodes filled with 3 mM potassium acetate, having resistances of
40-50 M . In most experiments, ~2.5% Neurobiotin (Vector
Laboratories, Burlingame, CA) was dissolved in the solution in the
recording electrode to aid in subsequent morphological identification
of the impaled cell (see below).
Cell selection. The ventrolateral circular excitor (CV) was
identified by its position (Stuart, 1970 ) and firing pattern (Eisenhart et al., 2000 ). The paired neuron R3b1 was identified by the
following characteristics. (1) The cell body was located in the R3b
packet, just medial and slightly anterior to a consistently located
prominent cell of unknown function. (2) Intracellular spikes were
matched one-to-one with spikes in the connective. (3) Depolarizing the neuron with 2-4 nA of current elicited the crawling motor pattern. (4)
The neuron, when filled with an intracellular dye, had a distinctive morphology. Four morphologically distinct neurons were routinely recorded, and each was uniquely correlated with a distinct behavior; however, whenever a neuron in this region elicited crawling, it had a
morphology similar to that shown in Figure 1b. In
~75% of the experiments, R3b1 was correctly selected by its position
alone, as confirmed subsequently by the physiological and morphological criteria.
Monitoring of behaviors. In isolated nerve cords, fictive
behaviors were monitored by examining the firing patterns of the dorsal
excitor motor neuron cell 3 in the DP nerve(s) and of CV neurons. The
motor patterns for different behaviors are distinctive, as described
previously (Kristan et al., 1974 ; Shaw and Kristan, 1995 ; Eisenhart et
al., 2000 ). In semi-intact preparations, direct observation of the
intact portion of the leech was used in addition to a DP recording to
monitor behaviors. When swimming occurred, bursts of cell 3 firing
indicated the dorsal contraction phase of each cycle. When crawling
occurred, however, cell 3 bursts in the anterior segments were not
sufficient to indicate the contraction phase: we found that cell 3 sometimes fired during elongation in these segments, presumably to
assist in lifting the head. Because the cell 3 firing pattern was
insufficient to indicate the phase of crawling, a foot pedal was used
to mark the times at which elongation and contraction waves were
observed to begin.
Behaviors were elicited in the semi-intact preparation by using thin
wooden applicator sticks to stroke or prod the anterior or posterior
end of the leech. We found that these probes, of all the stimulation
techniques tried, produced the smallest artifact. Timing of the
stimulation was marked with a foot pedal. In isolated cord
preparations, electrical stimulation was applied to the DP nerves via a
Grass stimulator (10 msec pulses delivered at 10 Hz for 500 msec).
Data acquisition. Physiological data were digitized with a
MacADIOS A-D board and displayed and analyzed with Superscope II (GW
Instruments, Somerville, MA). To compute the spike-triggered average,
Superscope data were imported into Matlab (Mathworks, Natick, MA).
Spike analysis. Because the spike-initiating zones of most
projection neurons in the leech are located far from the soma, the
spikes measured in the soma are small (<5 mV) and can be difficult to
distinguish from the noise. Therefore, to measure the spike frequency,
spikes were counted by manually comparing the intracellular recording
with the connective recording. When R3b1 was firing at low frequency in
an inactive leech, spikes in the connective were easily identifiable by
their latency from intracellular spikes (see Fig. 1c). When
more activity was present, spikes could be identified by size, shape,
and latency. The time of each spike was recorded and used to make
raster plots or histograms.
Neuronal labeling
Retrograde labeling. The head brain and anterior
three to four ganglia were dissected from the leech and placed in leech
saline. A small well, made from a round section of a plastic pipette
tip and Vaseline, was built around the cut end of the connective. In
some cases, the well surrounded only one lateral connective, so that
ipsilaterally and contralaterally projecting neurons could be
distinguished. The well was filled with distilled water, and crystals
of rhodamine dextran (molecular weight, 3000; Molecular Probes, Eugene,
OR) or Neurobiotin were added to a final concentration of >5%. Dye
was allowed to diffuse for 2-3 d at 4°C, after which the
preparations were fixed with 2% paraformaldehyde in PBS. If Neurobiotin was used for retrograde labeling, tissue was permeabilized with 0.3% Triton X-100 and incubated with Cy3-conjugated streptavidin (Jackson ImmunoResearch, West Grove, PA). After rinsing, and regardless of the dye used, tissue was dehydrated through a series of ethanol dilutions and cleared with methyl salicylate. Tissue was mounted in
Gurr DePeX mounting medium and imaged with a Zeiss laser scanning confocal microscope using Bio-Rad software (Hercules, CA).
Intracellular fills. Cells were iontophoretically injected
with either Neurobiotin or rhodamine dextran. In most cases, the dye
was included in the recording electrode, but sometimes the cell was
reimpaled with a dye-filled electrode after electrophysiological recordings. Dye was passed into the cell with alternating pulses of
positive and negative current (0.5-1.5 nA). Dye was allowed to diffuse
in the cell for 30-90 min, after which the tissue was processed and
imaged as described above.
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RESULTS |
To locate the somata of projection neurons that might govern
behavioral selection, we labeled subesophageal ganglion neurons of the
leech by retrograde transport of rhodamine dextran through the ventral
nerve cord. This method indicated the presence of a cluster of cells in
the third packet on the dorsal surface of the rostral brain (Fig.
1a, R3). Therefore,
we focused on this region in subsequent experiments. In this paper, we
describe a bilateral pair of neurons in the posterior subpacket of R3
(R3b), and we refer to each neuron of the pair as R3b1.

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Figure 1.
Localization and morphology of cell R3b1.
a, Stereomicrographs of projection neurons in the
subesophageal ganglion. The left lateral connective was placed in a
well of concentrated rhodamine dextran, and dye diffused retrogradely
to the head brain. The rostral neuromeres (i.e., packets homologous to
four segmental ganglia) R1-R4 are labeled. The
asterisk marks a cell cluster in R3. b,
The soma of R3b1 was filled with Neurobiotin during
electrophysiological recording and then labeled with Cy3 streptavidin.
Subpackets of the subesophageal neuromeres are labeled. Scale bar:
a, b, 100 µm. c, Illustration of
spike matching in intracellular (top) and connective
(bottom) recordings. Dashed lines connect
intracellular spikes to the corresponding spikes in the connective,
measured between ganglia 4 and 5. These traces were used
to make the spike-triggered average in d.
d, Electrical recordings showing superimposed spikes in
R3b1 recorded intracellularly (top trace) and
extracellularly (en passant) in the connective between
ganglia 4 and 5 (middle trace) and between ganglia 19 and 20 (bottom trace). The intracellular signal was
filtered at 300 Hz. The preparation was bathed in 20 mM
Mg2+/0 mM Ca2+ saline
to eliminate synaptic activity. A spike-triggered average (black
trace) was calculated from 17 individual traces
(gray traces).
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R3b1 has a distinctive morphology that can be used to identify the cell
in different preparations (Fig. 1b). Its soma lies centrally
in the R3b packet and has short anterior-projecting neurites both
ipsilateral and contralateral to the cell body. Its axon projects in
the lateral connective on the contralateral side. By matching
intracellular action potentials to spikes in the connective recordings,
we found that the axon projects the entire length of the nerve cord
(Fig. 1c,d). In 10 preparations in which nearby
neurons were recorded and filled along with R3b1, each cell could be
distinguished easily by its morphological features. Furthermore, as
will be discussed below, this neuron could be uniquely identified by
its ability to elicit crawling behavior. Every time current injection
into a soma in the R3b packet was able to elicit crawling, that neuron
had the morphology of R3b1 (34 preparations). In contrast, no neuron
that had a different morphology was able to elicit crawling (34 cells,
exhibiting three different morphologies). Therefore, R3b1 is
morphologically and functionally distinguishable from other neurons in
the R3b packet.
In 22 of 24 isolated nerve cord preparations (Fig.
2a), passing positive current
into an R3b1 neuron elicited a crawling-like motor pattern (Fig.
2b), which is consistent with our preliminary report (Esch
and Kristan, 2002 ). The alternating bursts that occur in the dorsal
longitudinal motor neuron cell 3 and in the circular motor neuron CV
(Fig. 2b) would result in contraction and elongation, respectively, in an intact leech (Eisenhart et al., 2000 ). The bursts
of action potentials in cell 3 produced after current injection into
cell R3b1 progressed along the length of the leech, anterior to
posterior, as they do in crawling (Esch and Kristan, 2002 ). Fictive
crawling elicited by electrical stimulation of R3b1 normally continued
throughout the period of stimulation, and sometimes it persisted for
two or more cycles after termination of the stimulus. We conclude,
therefore, that activation of R3b1 can elicit the crawling motor
pattern.

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Figure 2.
Current injection into R3b1 elicits either the
crawling or the swimming motor pattern. In isolated nerve cords, 3-4
nA of current was injected into R3b1 during the times indicated by
gray bars at the top of each set of
traces. Current injection caused increased spiking of R3b1, as
monitored in the extracellular connective (conn
5/6) recording in each trace. Spikes were counted
manually, and the spike frequency (measured in 2 sec bins) is indicated
in each set of traces. a, Schematic drawing of the
isolated nerve cord preparation. b, Intracellular
recording of a CV neuron and extracellular recording of a DP nerve
exhibit the crawling motor pattern. Black bars below DP
trace indicate time of fictive contraction, based on peak firing of
cell 3. c, Stimulation of R3b1 in a different
preparation produced approximately the same firing frequency in R3b1
but elicited the swim motor pattern. CV and cell 3 spikes (in the DP
recording) increase in frequency and then occur as bursts as swimming
begins. In this case, swimming continued for many cycles after current
injection ceased. Note that the period of swimming is much shorter than
that of crawling. A portion of the DP trace has been expanded to show
details of the burst pattern in cell 3.
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In some preparations, depolarizing current injected into R3b1 elicited
the swimming motor pattern rather than the crawling pattern (Fig.
2c), confirming preliminary results (Esch and Kristan, 2002 ). Swimming often lasted only as long as current was injected, as
happened with crawling, but it was not uncommon for the swimming motor
pattern to outlast electrical stimulation by many swim cycles. Usually,
when the swimming motor pattern was elicited, the crawling motor
pattern was elicited by previous or subsequent stimulation of the same
cell. In 24 preparations, a neuron identified morphologically as R3b1
was stimulated; in 11 of these, R3b1 elicited swimming in some trials
and crawling in others. There was only one preparation in which R3b1
stimulation elicited swimming but not crawling, whereas in another 11 preparations only crawling was produced. (In the remaining preparation,
a cell with the morphology of R3b1 did not elicit a recognizable motor
pattern.) Therefore, R3b1 activation reliably elicits two different
locomotory motor patterns: swimming and crawling.
To gain a clearer understanding of what factors determine which
behavior is elicited by activating R3b1, we used a semi-intact preparation (Fig. 3a). Because
segments 5-20 were intact, we could determine the behavioral response
to electrical stimulation of R3b1 simply by observing the animal. In
addition, with the semi-intact preparation we could assess the effects
of tactile sensory stimulation on R3b1. These experiments suggested
that sensory feedback is important for determining whether stimulation
of R3b1 elicits swimming or crawling. In low saline levels, current
injected into R3b1 elicited the crawling motor pattern (Fig.
3b) (n = 5 leeches). When the saline level
was raised, similar stimulation of the same R3b1 elicited swimming
(Fig. 3c). Therefore, R3b1 appears to be a state-dependent
locomotory neuron; which locomotory behavior it elicits depends on
sensory information about the fluid level.

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Figure 3.
Effect of electrical stimulation of R3b1 in
semi-intact preparation depends on the saline level in the chamber.
Current (3-4 nA) was injected into R3b1 for the times indicated by
gray bars at the top of each set of
traces in b-d. The spike frequency of R3b1 was
determined by counting spikes in a connective recording and grouping
them into 2 sec bins. Behaviors were observed directly and also
recorded in the activity of the DP nerve in segment 3. The beginning of
elongation (E) and contraction
(C) were marked with a foot pedal and are
indicated below the traces. a, Schematic drawing of
semi-intact preparation. b, In low saline levels,
current injection elicited crawling. In this example, cell 3 bursts
occur in DP 3 during elongation, probably to assist in raising the
head. c, After the saline level was
increased, electrical stimulation of R3b1 elicited swimming in the same
preparation. d, In intermediate saline levels,
stimulation of R3b1 elicited a hybrid behavior in which the leech swam
(dots below DP trace) during elongation.
In c and d, a portion of the trace has
been expanded to show details of the swim bursts.
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Although electrical stimulation of R3b1 elicited apparently normal
swimming and crawling in high and low saline levels, respectively, in
intermediate saline levels it elicited a hybrid behavior (Fig. 3d). The leech elongated and contracted with a rhythm
typical of a normal crawl, but rather than elongating steadily as in
normal crawling, the leech produced swimming undulations while
elongating. This hybrid behavior also was produced by freely moving,
fully intact leeches in intermediate water levels (see below).
Nonetheless, the behavior was more consistent and occurred over a
broader range of fluid levels in the semi-intact preparation when the
front of the leech was pinned to the substrate (see Materials and
Methods). The swim/crawl hybrid was the most common form of
locomotory behavior observed in the semi-intact preparation, probably
because of the depth of the chamber and the fact that the brain was
dissected away from the surrounding tissue (see below).
Direct observation of the semi-intact leech during electrical
stimulation of R3b1 revealed that, regardless of which behavior was
elicited, the initial motor response was elongation. This can be seen
in Figure 3, b and d, in which elongation always
precedes contraction, as well as in Figure 2, b and
c, in which the circular motor neuron CV is activated
immediately after R3b1 stimulation. Elongation was followed by
contraction when either crawling or the swim/crawl hybrid behavior was
elicited, but contraction never occurred first, even if the leech was
relatively elongated at the time of stimulation. Elongation also
occurred before the onset of dorsal-ventral undulation when swimming
or the hybrid behavior was elicited by R3b1 stimulation. Furthermore,
as illustrated in Figure 2c, CV fired at a high rate
throughout the electrical stimulation of R3b1, which implies that
elongation actively occurred even after swimming had begun. Finally,
weak electrical stimulation of R3b1 (~1 nA) often elicited elongation
without producing a full swim or crawl motor pattern (data not shown).
Therefore, it appears that the initial role of R3b1 in behaviors is to
produce elongation.
The form of locomotion produced by intact leeches was affected by water
levels similarly to what we observed in semi-intact leeches (Fig.
4a). When the behavioral arena
was a moistened Plexiglas sheet, leeches always crawled. When water was
present in the arena, leeches always began a locomotory episode by
elongating. Even in the shallowest water tested (3 mm), leeches would
sometimes make swimming movements after elongating. Leeches were unable to produce swimming movements without both emerging from the water and
striking the floor of the arena in water depths of <10 mm, and in
these shallower water depths initial swimming movements resulted in a
swim/crawl hybrid. In water 10 mm deep, leeches could swim only by
turning on their sides; when they did not do this, swim movements still
resulted in the hybrid behavior. (Note that the depth of the recording
chamber used for semi-intact preparations was 10 mm, and therefore our
finding that semi-intact leeches often produced the hybrid behavior is
consistent with our observations using intact leeches.) In water levels
deeper than 10 mm, whenever swimming undulations were produced they
resulted in full swims that usually continued until the leech reached
the far end of the arena. The hybrid behavior was never produced in
these deeper water levels, which is consistent with previous findings
that once a swim is initiated it will usually continue until the leech contacts an obstacle (Kristan et al., 1974 ). Still, even in the deepest
water levels, ~50% of locomotory events were crawl steps (Fig.
4a), indicating that water depth is only one factor
determining whether leeches swim or crawl.

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Figure 4.
Choice of locomotory behavior depends on water
level and is altered by severing head brain nerves. The proportion of
all locomotory behaviors belonging to each category
(crawl, swim/crawl, or
swim) is plotted as a function of water level.
a, Intact leeches (n = 6 leeches;
each tested three times). b, The same leeches as in
a, after all nerves to the head brain had been severed
(n = 3 leeches; each tested three times). Error
bars are SEM.
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The decision to swim or crawl is influenced by information carried by
head brain nerves. After recording six intact leeches as described
above, we exposed the head brain and cut zero to two of the most
anterior nerves in three leeches and all seven head brain nerves in the
remaining three leeches. The skin was sutured, and the leeches were
allowed to rest for 2 d before being retested in the arena.
Leeches in which zero to two nerves had been cut behaved similarly to
intact leeches (data not shown). In contrast, leeches in which all head
brain nerves were cut were much more likely to attempt swimming
movements than intact leeches (Fig. 4b). In water depths of
6 mm, the proportion of behaviors that included swimming movements
was ~50% greater in denervated leeches than in intact leeches
(compare Fig. 4, a and b). Denervated leeches
often would raise their heads 1-2 cm out of the water while attempting
to swim, something rarely seen in intact leeches. These data, along
with the increased occurrence of the swim/crawl hybrid in semi-intact
leeches described above, suggest that some of the information
determining the type of locomotion produced in different water levels
is carried by head brain nerves.
In addition to activating both swimming and crawling when artificially
stimulated with current injection, R3b1 became depolarized when either
of these behaviors was elicited by mechanical stimulation of the intact
portion of the leech in semi-intact preparations. The ongoing activity
pattern of R3b1 differed during the two behaviors, however (Fig.
5a,b). During
crawling, the membrane potential of R3b1 oscillated 5-10 mV in phase
with each crawl step (Fig. 5a): R3b1 depolarized and
increased spiking during the onset of elongation, the membrane
potential returned to baseline as contraction began, and another
increase in spiking of R3b1 heralded the onset of the next elongation
wave at the front of the leech. This oscillatory pattern was also
observed in R3b1 after electrical stimulation was terminated, in those
cases in which crawling continued after the stimulation (data not
shown). Oscillations and spiking of R3b1 were also observed during
crawling motor patterns produced in isolated nerve cords (data not
shown). In contrast to this oscillating membrane potential during
crawling, the membrane potential of R3b1 remained depolarized 5-10 mV
above the resting membrane potential throughout a swimming episode,
returning to baseline only when swimming stopped (Fig. 5b).
In ~50% (12 of 26) of swimming bouts, a small oscillation at the
swim frequency was seen on top of the tonic depolarization level. This
oscillation was present in both isolated and semi-intact preparations
and was not consistently present or absent in a single preparation.
During the swim/crawl hybrid, the activity of R3b1 was oscillatory,
similar to that in crawling, with occasional oscillations in phase with
swimming around the elongation depolarization (data not shown).
Therefore, R3b1 is phasically active during crawling and mostly
tonically active during swimming, and in both cases R3b1 fires most
when the leech is elongated.

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Figure 5.
R3b1 is active during naturally elicited crawling
and swimming. In a-c, the posterior end of the leech
was briefly prodded (arrows) with a wooden applicator
stick to elicit behaviors. a.1, Touch-elicited crawling.
R3b1 was activated and spikes occurred (raster above
traces) while the leech elongated. E and
C (below traces) indicate the onset of
elongation and contraction, as determined by direct observation.
Stimulus-associated noise in the intracellular recording precluded
accurate spike counting during the time indicated by the gray
box. a.2, Average (black) of
traces (gray) centered on spikes marked in
a.1, showing that intracellular spikes
(top) align with spikes in the connective
(bottom). To simplify the figure, the connective
recording is not shown in a.1. b,
Swimming was elicited. In this preparation, an oscillation at the swim
frequency occurred about the depolarized level. c, A
weak stimulation of the posterior leech elicited a small depolarization
of R3b1, but no overt behavior. d, R3b1 became
depolarized and spiked at an increased frequency throughout a
spontaneous swim bout.
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|
Natural sensory stimuli that evoked swimming or crawling, such as
nudging or lifting the posterior end of the leech, led to depolarization and spiking in R3b1. Stimuli that were too weak to evoke
a locomotory response produced a small, short-lived depolarization of
R3b1 (Fig. 5c) (n = 4 of 6 stimulations),
whereas stimuli sufficient to initiate locomotion produced a larger and
longer lasting depolarization of R3b1 (Fig. 5a,b)
(n = 12 of 15 stimulations in eight leeches). Other
sensory stimuli that evoked swimming or crawling, such as changing the
saline level or shining a light on the animal, also produced a
depolarization of R3b1 (data not shown). Furthermore, depolarization of
R3b1 accompanied spontaneous swimming and crawling episodes (Fig.
5d). These data strongly suggest that R3b1 contributes to
the initiation of swimming and crawling in response to natural stimuli.
The different activity patterns recorded in R3b1 during crawling versus
swimming do not appear to be the sole determinant of which behavior is
produced. If this were the case, then steady current injection into the
cell should always elicit swimming. As described above, this is clearly
not the case: crawling often was produced during sustained electrical
stimulation of R3b1 (Figs. 2b, 3a).
The firing frequency of R3b1 does not appear to influence the decision
to swim or to crawl. Swimming and crawling were both elicited over a
broad range of R3b1 firing frequencies. When current injection into
R3b1 elicited crawling, the mean firing rate of R3b1 was 37 ± 2 Hz, and when swimming was elicited the mean firing rate of R3b1 was not
significantly different (39 ± 2 Hz). Furthermore, depolarization
of R3b1 during an ongoing locomotory behavior never resulted in a
switch from swim to crawl or vice versa. Instead, depolarizing current
injection during a swim episode increased the intensity of swimming,
whereas depolarization during crawling increased the rate of crawling
steps (data not shown). These data suggest that factors other than the
activity pattern and firing frequency of R3b1 must be involved in the
decision to swim or to crawl.
In contrast to sensory stimuli that evoke locomotion, stimuli that halt
locomotion or evoke an incompatible behavior hyperpolarize R3b1. In an
inactive, semi-intact leech, touching segment 5 elicited a whole-body
shortening response, accompanied by a sharp hyperpolarization of R3b1
(Fig. 6a) (n = 14 of 18 stimulations in eight leeches). The same stimulus applied to a
swimming leech stopped the swimming, evoked shortening, and brought the
membrane potential of R3b1 back to baseline (Fig. 6b). The
activity of R3b1 in response to this mechanical stimulation depended on
the behavior produced, however. For example, after a second, similar
stimulus in Figure 6a, the leech elongated after an initial
shortening response. In this case, R3b1 became depolarized and began
spiking after the initial hyperpolarization. Therefore, the activity of
R3b1 is correlated more strongly with the behavior produced than with the stimulus given.

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Figure 6.
R3b1 is inhibited by stimuli that cause
shortening. a, In an inactive leech, prodding the
anterior portion of the leech near segment 5 (arrows)
elicited shortening. After a second, similar stimulus, the leech
elongated. b, Touching the posterior of the leech
(first arrow) elicited swimming. A subsequent
touch to the anterior of the leech (second arrow)
stopped swimming and elicited shortening.
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|
 |
DISCUSSION |
In this study, we describe a paired neuron, R3b1, that elicits
both crawling and swimming in the medicinal leech. Which behavior R3b1
activity produces is influenced by sensory input and can be manipulated
in the semi-intact preparation by changing fluid levels in the
recording chamber. Although there are other leech neurons that
participate in multiple behaviors (e.g., 204, Tr1, and SE1)
(Brodfuehrer and Friesen, 1986 ; Kristan et al., 1988 ; Brodfuehrer et
al., 1995a ; Shaw and Kristan, 1997 ), this is the first example of a
neuron in the leech that clearly activates two different behaviors in a
context-dependent manner.
On the basis of our results, we propose a working hypothesis for the
circuit underlying the choice to swim or crawl in the leech (Fig.
7). Stimulation of pressure-sensitive
mechanoreceptors (P cells) in the leech's posterior activates R3b1
neurons (Fig. 5). R3b1 neurons, in turn, activate a network (E),
including the circular motor neuron CV, that produces elongation (Figs.
2b,c, 3b,d). Elongation
activity can either activate swim oscillator interneurons (Brodfuehrer
et al., 1995b ) to produce the swimming motor pattern (Fig.
3c) or interact with a contraction network (C) to produce a
crawling step (Cacciatore et al., 2000 ) (Fig. 3b). Although
the neural architecture underlying these central pattern generators
(CPGs) is functionally distinct, they may share neurons whose
connections are reconfigured to produce two different motor patterns
(Dickinson, 1995 ). In intact or semi-intact animals, the selection of
locomotory form depends on information about the depth of fluid around
the leech's body. This information is carried in part by head brain
nerves (Fig. 4b). The nature of this sensory input is
unknown, but possible sources include mechanosensory stimulation by the
surface of the fluid and/or substrate when the leech is in shallow
water, a sensation of buoyancy when the leech is in deep water, or
contact with a suitable attachment point by the front sucker. In Figure
7, the sensory input is shown as "shallow water detectors"
that bias the output in favor of crawling by activating the crawl CPG
and inactivating the swim CPG. The existence of such sensors is
supported by evidence that when sensory inputs to the head brain are
eliminated, behavior is biased toward swimming (Fig. 4b).
There also might be "deep water detectors" that activate the
swim CPG and inactivate the crawl CPG. In either case, intermediate
fluid levels would reduce the inhibition by these sensors, resulting in
net excitation of both CPGs, thereby producing the hybrid swim/crawl
motor pattern (Fig. 3d).

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Figure 7.
Working hypothesis of the behavioral effects of
neuron R3b1. P, Pressure-sensitive cells.
E, An elongation network that is a component of both the
swim and the crawl CPGs. Filled circles indicate
inhibitory interactions; filled triangles with
plus signs indicate excitatory interactions.
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Results from the isolated nerve cord, in which all of the water sensors
are removed, indicate that this model cannot be complete. Figure 2
shows that intracellular activation of an R3b1 neuron in an isolated
nerve cord can produce either swimming or crawling, whereas the
connections hypothesized in Figure 7 predict that activating R3b1 with
no sensory feedback should always select the swim CPG. Which motor
pattern is produced by activating R3b1 in an isolated nerve cord
probably depends on the state of "spontaneous activity" in the cord
when R3b1 is stimulated (Brodfuehrer et al., 1995b ). We predict that
there are additional sensory and modulatory pathways onto, and possibly
between, the CPGs and that temporal variability in the state of these
connections influences which behavior swimming, crawling, or
swim/crawl is produced.
Behavioral modules
Behavioral units or "modules" that can be combined in
different ways to produce different behaviors have been proposed in models of spinal organization in vertebrates (Grillner, 1981 ; Bizzi et
al., 2000 ). Our results indicate that such modules may be important in
the construction of movement in invertebrates as well. Regardless of
which locomotory behavior R3b1 elicits, the first movement that occurs
after depolarization of the cell is elongation. This suggests that
elongation is a component of both swimming and crawling and that R3b1
directly activates this behavioral module. Sensory input about the
fluid level might contribute to activation of other modules, such that
either swimming or crawling is ultimately elicited.
Evidence of modular organization also exists for other invertebrates.
For example, a cerebral interneuron in Aplysia that is
activated during several behaviors always elicits arterial shortening
in the neck (Xin et al., 1996 ). Arterial shortening is a component of
several neck-shortening behaviors, including head lifting, turning, and
locomotion. Therefore, it appears that modular organization is a common
feature of behavioral control in vertebrates and invertebrates alike.
Hybrid behaviors and multifunctional neurons
The swim/crawl behavior in the leech is similar to hybrid
behaviors between scratching and stepping in turtles (Earhart and Stein, 2000 ) and between walking and paw shaking in cats (Carter and
Smith, 1986a ,b ), in that one behavior is expressed only during a
particular phase of the other. In the leech, swimming is expressed only
during the elongation phase of crawling. This implies that there must
be some overlap between the circuits controlling these behaviors such
that crawling can gate the expression of swimming. A similar sort of
gating is produced in the crustacean stomatogastric ganglion by
presynaptic inhibition of a modulatory neuron by a gastric mill neuron.
This inhibition results in the pyloric rhythm being more active during
one phase of the gastric mill rhythm than during the other phase
(Bartos and Nusbaum, 1997 ). In the leech, because elongation is a
component of both behaviors, it is a likely point of intersection
between the two circuits (Fig. 7). Another point of interaction may be
cell 204, a segmentally iterated neuron that readily elicits swimming
on activation (Weeks and Kristan, 1978 ) but which also oscillates
during crawling (Kristan et al., 1988 ).
In many neuroethological studies, a single behavior is studied in
isolation. Consequently, neurons involved in producing a behavior often
are perceived as being dedicated to that one behavior. Our results,
however, add to expanding evidence that many neurons are
multifunctional, constituting portions of neural circuits shared by
several behaviors (Kristan and Shaw, 1997 ). In Tritonia, swimming and crawling are produced by the same CPG neurons (Popescu and
Frost, 2002 ). Note, however, that crawling in Tritonia is mediated by cilia, which generally beat while the animal is swimming, so the animal does not have to switch between the two behaviors. Experiments in Aplysia have shown that two circuits can
share most elements, with the activity of only a few neurons
determining which of the two behaviors is expressed (Jing and Weiss,
2001 ). Similarly, in the crustacean stomatogastric nervous system
(STNS), different levels of activity in a single mechanosensory neuron can elicit different motor patterns from the same pattern-generating network (Combes et al., 1999 ). Previous work on the STNS has revealed that neural circuits are extremely dynamic: individual neurons can
switch from one circuit to another, two circuits can fuse to form a
conjoint rhythm, and multiple circuits can combine to form a de
novo motor pattern (Dickinson, 1995 ; Marder, 2000 ). Our work in
the leech has indicated that even "command-like" interneurons are
not dedicated to a single behavior but that behavioral decisions are
made by combinations of such interneurons. Specifically, several neurons whose activation individually causes swimming are also active
during shortening (Shaw and Kristan, 1997 ), and as shown here, a single
neuron can trigger two different behaviors. Therefore, even
qualitatively different, incompatible behaviors may share decision-making interneurons.
Sequential decision making
Swimming and crawling are two forms of locomotion, the goal of
which is to move an animal from place to place (Stein et al., 1986 ).
Our results suggest that the choice to locomote is made by R3b1,
independently of the decision of what form of locomotion to perform
(i.e., swimming or crawling). Because electrical stimulation of R3b1
elicits crawling or swimming and because stimuli that halt locomotion
hyperpolarize R3b1, it appears that R3b1 is a command-like neuron for
locomotion. Because swimming, crawling, or the hybrid can be produced
by stimulation of R3b1 under different environmental conditions,
however, sensory information must influence which motor pattern is
activated by R3b1, so a behavior appropriate for the present conditions
is produced. Therefore, the decision to crawl or swim must be
distributed over multiple neurons.
On the basis of our results, we propose a neural structure in
which a behavioral task is selected before the form of task is
selected. We envision a sequential process, in which the choice is
narrowed at each step until finally a specific form of
behavior is selected and produced.
Other animals also appear to make decisions sequentially. Most notably,
it has been demonstrated that cockroaches, like leeches, choose to
locomote independently of choosing what form of locomotion to produce.
Specifically, a single neuron can elicit either flying or walking
depending on whether the legs are in contact with the ground (Ritzmann
et al., 1980 ). Our preparation has the advantage of being able
to switch repeatedly among behaviors simply by changing the water
levels (rather than removing the sensory structures, as in the previous
study). Our results, therefore, considerably strengthen the hypothesis
that using sensory information to guide output of locomotory decision
centers is a common feature of behavioral organization.
Few other studies have considered decision making a multistep process.
Instead, studies have focused on a single level of choice. In one model
system for determining the neural basis of behavioral choice, monkeys
are trained to make a saccade in different directions in response to a
visual stimulus (Shadlen and Newsome, 1996 ; Platt and Glimcher, 1999 ;
Gold and Shadlen, 2000 ; Schall, 2000 , 2001 ; Glimcher, 2001 ). In these
experiments, the monkey's goal is to receive a reward. The task is
defined by the experimenter, for example, to make a saccade
indicating the predominant direction of movement of dots. The decision
being studied, therefore, is what form of the task to perform a
saccade to the left or to the right based on the monkey's perception
of the visual stimulus. Presumably, the monkey first must decide that
it will perform the expected task, but nothing yet is known about how
and where that decision is made.
From previous and current results, it appears that leeches decide how
to respond to stimuli sequentially. At the first stage, it decides to
do something (Shaw and Kristan, 1997 ). Next, it decides to locomote
(present study). At the final premotor stage, the leech decides whether
to swim or to crawl (Weeks and Kristan, 1978 ). Whether such a
sequential mechanism is present in mammalian brains remains to be seen,
but it seems unlikely that more complex decisions are made with simpler
neural interactions.
 |
FOOTNOTES |
Received Aug. 20, 2002; revised Oct. 4, 2002; accepted Oct. 9, 2002.
This work was supported by National Institutes of Health (NIH) Grants
MH43396 and NS35336 (W.B.K.), National Research Service Award MH12029
(T.E.), NIH Training Grant NS07220 (T.E.), and a University of
Minnesota Career Development Grant (K.A.M.).
Correspondence should be addressed to William B. Kristan, University of
California San Diego, Neurobiology Section, Division of Biological
Science 0357, 9500 Gilman Drive, La Jolla, CA 92093-0357. E-mail:
wkristan{at}ucsd.edu.
 |
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A. Proekt, V. Brezina, and K. R. Weiss
Dynamical basis of intentions and expectations in a simple neuronal network
PNAS,
June 22, 2004;
101(25):
9447 - 9452.
[Abstract]
[Full Text]
[PDF]
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