Dissociating premotor and motor components of response times: Evidence of independent decisional effects during motor-response execution
Psychonomic Bulletin & Review
https://doi.org/10.3758/s13423-025-02663-z
BRIEF REPORT
Dissociating premotor and motor components of response times:
Evidence of independent decisional effects during motor‑response
execution
Saman Kamari Songhorabadi1
· Simone Sulpizio2,3
· Michele Scaltritti1
Accepted: 3 February 2025
© The Author(s) 2025
Abstract
Traditional measures of response times (RTs) capture the summed duration of multiple latent and overt processes, including
motor-response execution. The present research assessed the functional independence of the decisional components unfolding
before vs after the onset of the muscular activation in the context of a lexical decision task requiring manual button-press
responses. Specifically, the lexicality effect (slower latencies for nonwords compared to words) was separately tracked across
premotor and motor components of RTs under different regimes of decision bias. Whereas at the premotor level the lexicality
effect was modulated by the proportion of word vs nonword trials in the block, with a reversal of the lexicality phenomenon
when nonwords occurred in 75% of the trials, motor times (i.e., a chronometric measure of response duration) consistently
displayed longer durations for nonword responses, irrespective of bias manipulation. The results point to a partial functional
independence between the decisional components involved at the premotor vs motor level, suggesting that the onset of motor
behavior may represent the onset of specific decisional processes, rather than the termination or the continuation of computations unfolding in the premotor interval.
Keyword Mental chronometry; response time; decision making; motor-response execution
Introduction
The research was funded by the European Union–Next
Generation EU – PRIN 2022 PNRR (DD 1409, 14/09/22) –
PNRR – M4 – C2 – INV1.1 – PRIN – Project Title [Functional
characterization of decisional components in motor responses for
young and older adults] – Grant Number [P2022C39ZH] – CUP
[E53D23019540001].
We are grateful to Margherita Cardellini for her help during data
collection.
* Michele Scaltritti
1
Dipartimento Di Psicologia e Scienze Cognitive, Università
Degli Studi Di Trento, Corso Bettini 31, 38068 Rovereto,
TN, Italy
2
Dipartimento Di Psicologia, Università Degli Studi Di
Milano-Bicocca, Milan, Italy
3
Milan Center for Neuroscience (Neuromi), Università Degli
Studi Di Milano-Bicocca, Milan, Italy
Mental chronometry, one of the earliest breakthroughs for
modern psychological sciences, builds on the notion that
response time (RT) captures the duration of the multiple
processes involved in a task (e.g., Luce, 1986; Posner, 1978),
including the motor-activity required to perform the overt
response. In case of discrete behavioral responses typically
used in psychological experiments (e.g., button-press), RTs
can in fact be divided into a premotor time (PMT), extending from stimulus onset to the initiation of motor activity,
and a motor time (MT), extending from the onset of motor
activity until the completion of the response (Botwinick &
Thompson, 1966; Weiss, 1965). The functional characterization of the MT, as well as its functional relationship with
PMT, remain contentious to this day.
Traditionally, the onset of motor behavior has been considered the endpoint of upstream cognitive computations
and the beginning of motor-response execution, envisaged
as a separate stage within serial architectures (e.g., McClelland, 1979; Ratcliff, 1978; Sternberg, 1969). Under this perspective, PMTs and MTs can be mapped onto independent
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Psychonomic Bulletin & Review
categories of processes represented, respectively, by central
cognitive vs peripheral motor computations. This view has
been challenged by different lines of evidence. Pioneering
research has highlighted online processes of response control operating during the unfolding of the motor-response
itself (e.g., Allain et al., 2004; Burle et al., 2002; Fluchère
et al., 2018; Hasbroucq et al., 1999; Ramdani et al., 2013,
2021; Roger et al., 2014), mainly through inhibitory and
corrective mechanisms on muscular activations. Minimally,
motor-response execution is thus shaped by monitoring processes related to executive and cognitive control. In addition,
results from perceptual decision-making tasks indicate that
the amount of sensory evidence exerts a reliable influence on
both PMTs and MTs (Dendauw et al., 2024; Servant et al.,
2021; Weindel et al., 2021), pointing to the accumulation of
a decision variable that propagates beyond response onset
and informs motor-response execution (e.g., Calderon et al.,
2018; Dendauw et al., 2024; Eriksen & Schultz, 1979; Verdonck et al., 2021). Under this perspective, the cognitive
characterization of MTs is largely inherited from PMTs,
with the two intervals being shaped by the same cognitive/decisional factor(s) that continuously unfold over both
components.
A further set of findings, however, seems to expand the
hypothesis space by pointing to a differentiation in the
decisional phenomena that modulate premotor vs. motor
intervals, and consequently in the underlying decisional
components. First, not all decision-related manipulations
propagate their influence from PMT to MT (Weindel et al.,
2021), as one would expect under the assumption of a single
decisional variable informing both intervals. In particular,
studies focusing on the visual lexical decision paradigm,
in which participants categorize strings of letters as real
words (e.g., house) vs nonwords (e.g., flirp), have shown
that while the lexicality effect (slower RTs for nonwords
compared to words) reliably affect both PMTs and MTs, the
word frequency effect remains bounded to PMTs (Scaltritti
et al., 2023; but see Dendauw et al., 2024). Second, different decision-related phenomena, when jointly manipulated, can combine in different ways across PMTs and MTs.
Specifically, lexicality and speed-accuracy tradeoff (SAT)
manipulations in lexical decision display interactive effects
at the level of PMTs, but additive effects on MTs, with the
difference between words and nonwords remaining constant
in terms of execution times, irrespectively of the SAT regime
(Scaltritti et al., 2024). Taken together, these findings suggest that, although motor-response execution is permeable
to multiple cognitive factors, it may not merely reflect the
same dynamics observed during PMTs.
The last line of evidence comes from the comparison
between correct vs incorrect responses in binary decision tasks, in which error trials display faster PMTs, but
slower MTs, compared to correct responses (e.g., Allain
et al., 2004; Rochet et al., 2014; Smigasiewicz et al., 2020;
Weindel et al., 2021). This peculiar pattern has been mostly
related with online response control mechanisms, which
would try to inhibit incorrect responses during their unfolding. Importantly, it suggests that PMTs an MTs are empirically dissociable, b (...truncated)