- Research article
- Open Access
- Open Peer Review
Habituation of the startle reflex depends on attention in cannabis users
BMC Psychologyvolume 4, Article number: 50 (2016)
Cannabis use is associated with an attention-dependent deficit in prepulse inhibition of the startle reflex (PPI). The aim of the current study was to investigate startle habituation in cannabis users and healthy controls during two attentional tasks.
Auditory startle reflex was recorded from orbicularis oculi muscle while participants (12 controls and 16 regular cannabis users) were either attending to or ignoring 100 dB startling pulses. Startle habituation was measured as the absolute reduction in startle magnitude on block 2 (last nine trials) vs. block 1 (first nine trials).
Startle habituation with moderate effect sizes was observed in controls and cannabis users only while they were ignoring the startling pulses but not while they were attending to them. Similar results were also observed in controls (lifetime non-users of cannabis) and cannabis users with lifetime cannabis use disorders (CUD).
Startle habituation appears to depend on selective attention but not on cannabis use. Startle habituation was present when attention was directed away from auditory startling pulses in healthy controls and cannabis users. Such a similar pattern of results in both groups suggests that at least a trend exists towards presence of startle habituation regardless of cannabis use or CUD in otherwise healthy members of the general population.
The relationship between cannabis use and mental health has been studied extensively. Empirical data show that particularly heavy cannabis use is positively related to affective outcomes, including major depression  and anxiety disorders . While the magnitude of these relationships remains small for affective outcomes , there exists a more consistent and stable association between cannabis use and psychotic outcomes . It has been shown that early onset and heavy cannabis use is related to earlier onset and higher odds for psychosis and is especially prevalent in younger, male, first-episode patients with schizophrenia [5–8].
Regardless of such extensive research, the physiological bases of the relationship between cannabis use and psychotic outcomes remain largely unknown. One candidate for studying such physiological bases is the process of sensorimotor gating which is thought to indirectly measure the allocation of cognitive resources to appropriately filter the sensory stimuli . Sensorimotor gating can be quantified as prepulse inhibition (PPI) of the startle reflex . Startle reflex is a contraction of the skeletal and facial muscles in response to a sudden, relatively intense stimulus (startling pulse) in any sensory modality . PPI is a reduction in startle magnitude which occurs when a low-intensity stimulus (prepulse) is presented 30–500 ms before the startling pulse . Apart from prepulses, startle magnitude can be modified by selective attention . Furthermore, in the absence of prepulses, startle magnitude habituates (is reduced) over time after repetitive presentation of startling pulses .
Sensorimotor gating appears to be affected by psychosis and cannabis use. In general, schizophrenia studies have shown that, relative to healthy controls, PPI deficit was observed either during passive (no task) paradigms  or during selective attention paradigms depending on attentional demand ([13, 16], for review see ). In addition, participants with cannabis-induced psychotic disorder showed PPI deficits but only at very short prepulse-pulse intervals relative to healthy controls . PPI was also reduced in participants at high risk for psychosis with urinary cannabinoids relative to healthy controls . In contrast, studies of cannabis users without psychosis reported less consistent PPI deficits. During passive attention paradigms adult cannabis users and non-user controls showed similar levels of PPI , while adolescent cannabis users failed to maintain PPI over time compared to controls . The evidence from studies with selective attention paradigms suggests that PPI deficit occurred only while cannabis users attended to, but not ignored, auditory pulses relative to controls [21, 22]. Interestingly, studies directly comparing cannabis users and schizophrenia patients showed that PPI deficits were similar in both groups relative to controls. Specifically, PPI deficit was reported in both cannabis users and in (non-user) schizophrenia patients while attending to, but not ignoring, pulses and prepulses during various attentional tasks [23, 24].
Unlike PPI, another aspect of startle modification, namely startle habituation, received less research attention, particularly in cannabis users. Habituation refers to a reduction in behavioral response following repeated stimulation and does not involve sensory or motor fatigue . Startle habituation is often quantified as a reduction in startle magnitude on blocks of trials towards the end compared to the beginning of the experiment. In schizophrenia research startle habituation has been used to explore information processing and attentional deficits associated with this disorder . Unlike PPI deficits, only some schizophrenia studies reported a deficit (or a trend towards a deficit) in startle habituation during passive attention paradigms (for example, [14, 27–35]) while others did not find such a deficit (for example, [36–38]). Such inconsistent results are not surprising given the heterogeneous methods of quantifying startle habituation . It is also unclear if and how startle habituation is altered by cannabis use. The evidence from passive attention paradigms showed that both controls and cannabis users (healthy or at high risk for psychosis) displayed similar patterns of startle habituation in terms of reduction in startle magnitude on later relative to earlier trials [9, 19, 20]. To our knowledge startle habituation has not been studied during selective attention paradigms in cannabis users, although similarly to PPI, startle habituation might depend on attention. Attentional processing is particularly affected in heavier and longer-term cannabis users . Thus, if startle habituation depends on attention, it might be especially affected by heavier cannabis use. Although neither PPI nor startle habituation can be used as physiological markers of psychosis or cannabis use, it is important to study these indirect measures of brain function to develop effective therapies against psychiatric disorders  and to understand the physiological bases of the relationship between cannabis use and psychosis. The aim of the current study was to investigate startle habituation in cannabis users relative to healthy controls during two selective attention tasks involving either attending to or ignoring auditory pulses. The second aim was to investigate startle habituation in heavier cannabis users (users with lifetime cannabis use disorders, CUD) relative to healthy controls. It was hypothesized that, similarly to attention-related PPI deficits, startle habituation might be impaired in cannabis users relative to controls but only while attending to pulses and not when ignoring them . It was also expected that, if cannabis use affects attention , any deficit in startle habituation would be particularly evident in heavier cannabis users with lifetime CUD relative to healthy controls.
The current methods have already been described in detail elsewhere [21, 23]. The data reported in this study have not been published before. The study was approved by the research ethics committees at the University of Western Australia and Graylands Hospital, Perth, Australia, and all participants gave a written informed consent to take part in the study.
Participant recruitment procedure, exclusion criteria, and demographic characteristics of both groups are shown elsewhere [21, 23]. Briefly, following the exclusion of participants positive for other substances in urine and/or with symptoms of psychiatric disorders the sample consisted of 12 healthy controls and 16 cannabis users recruited from the general population of Perth, Australia. All controls were non-users of cannabis in the last 12 months. The majority of cannabis users (81 %; 13/16) were daily-weekly users in the last 12 months, 69 % (11/16) reported lifetime symptoms of CUD, and 75 % (12/16) reported recent (24 h) use and were positive for cannabinoids in urine .
Cannabis use and CUD diagnoses
Cannabis use was defined as at least one-time use of cannabis (in any form, concentration, or duration) in the last 12 months since the testing session. Self-reports regarding the recent use of cannabis (within 24 h) were validated with urine screens and were found to be accurate in the current participants . Lifetime diagnoses of CUD (cannabis dependence and/or abuse) were established based on DSM-IV and/or ICD-10 criteria using the Composite International Diagnostic Interview (CIDI-Auto 2.1) . The presence of CUD diagnoses on CIDI-Auto 2.1 was accurately predicted using scores on the lifetime Severity of (Cannabis) Dependence Scale, SDS , in the current participants . Although it cannot be ruled out, it was assumed that our participants had little motivation to misreport their substance use based on the high agreements among self-reports of recent use and urine screens, among lifetime CUD diagnoses and SDS scores, as well as the full anonymity and strict confidentiality of the study [41, 44]. Since withdrawal from other substances (such as caffeine) can affect startle habituation , all participants were required to maintain their usual cannabis consumption (if users) and to refrain from nicotine for at least 1 h before testing and alcohol on the day of testing.
The auditory startle reflex was measured during two attentional tasks. The current study focuses on 36 pulse-alone trials only (18 per attentional task). During the Attend Task the participants were asked to passively listen to the background white noise (60 dB) interrupted by 18 pulses at 100 dB (white noise; duration 50 ms, nearly instantaneous rise/fall time) presented binaurally via headphones. During the Ignore Task the participants were told to ignore the auditory stimuli and play a handheld Tetris-like computer game. The order of attentional tasks (Attend – Ignore or Ignore – Attend) was counterbalanced within each group.
Data acquisition and processing
A detailed description of data acquisition and processing can be found elsewhere . The startle reflex was acquired as electromyogram (EMG) from the left orbicularis oculi muscle. The magnitude of the startle reflex was measured as the area under the peak curve (μV) to take into account both the magnitude and the duration of startle response.
The mean startle magnitudes were computed for each participant on the first half (block 1 with nine trials) and the second half of the experiment (block 2 with nine trials) using IBM-SPSS 22.0. Startle habituation was measured as the absolute difference in the mean startle magnitude between block 1 and block 2 on each attentional task and in each group. Group means were compared using the repeated measures analysis of covariance (ANCOVA) with two within-subject factors (ATTENTION with two levels: Attend vs. Ignore Tasks; BLOCK with two levels: 1 vs. 2), one between-subject factor (GROUP with two levels: controls vs. cannabis users), and two covariates (cigarettes per day and alcoholic drinks per week in the last 12 months). Covariates were used because, relative to controls, cannabis users reported significantly higher nicotine and alcohol consumption in the last 12 months . ANCOVA was followed up with pairwise comparisons corrected for family-wise error using Bonferroni’s adjustment. The effect sizes for pairwise comparisons were computed using the standardized mean difference, Hedges’ g, for paired or independent means . The interpretation criteria for the absolute size of Hedges’ g are: .20–.49 (small effect), .50–.79 (moderate effect), and ≥ .80 (large effect) .
Participant characteristics: controls vs. cannabis users
The two groups (controls and cannabis users) were matched on demographic characteristics (gender, handedness, age, IQ, education) and caffeine use  while, relative to controls, cannabis users reported significantly higher nicotine and alcohol consumption in the last 12 months .
Startle habituation: controls vs. cannabis users
According to aim 1 of the current study, startle habituation was investigated in cannabis users relative to controls during two attentional tasks. The results of ANCOVA are shown in Table 1.
The main effect of GROUP was not statistically significant (Table 1). The difference in mean startle magnitudes adjusted for nicotine and alcohol use was negligible between controls and cannabis users (g = .08) (Fig. 1a).
There was a statistically significant main effect of BLOCK (Table 1). The inspection of means adjusted for nicotine and alcohol use revealed that startle habituation occurred because startle magnitudes were significantly reduced on block 2 relative to block 1 (Fig. 1b). The effect size of startle habituation was only moderate (g = .60; Fig. 1b).
There was a statistically significant main effect of ATTENTION (Table 1). The inspection of means adjusted for nicotine and alcohol use revealed that startle magnitudes were significantly reduced on the Ignore Task relative to the Attend Task (Fig. 1c). The effect size of attentional modulation of startle magnitudes was large (g = 1.13; Fig. 1c).
Habituation by group and attention
A similar pattern of startle habituation was observed in controls and cannabis users. Pairwise comparisons revealed that startle habituation depends on attention in both groups (Fig. 1d). Startle habituation with moderate effect sizes was observed only on the Ignore Task in controls (g = .63) and in cannabis users (g = .71; Fig. 1d). In contrast, startle habituation on the Attend Task had only small effect sizes (g = .27–.39) in both groups (Fig. 1d).
Participant characteristics: controls (lifetime non-users of cannabis) vs. cannabis users with CUD
Demographic characteristics of controls (lifetime non-users of cannabis) and cannabis users with lifetime CUD) are shown in Table 2. Both groups were matched on all characteristics except for nicotine and alcohol consumption in the last 12 months which were significantly higher in cannabis users relative to controls (Table 2).
Startle habituation: controls vs. cannabis users with CUD
According to aim 2 of the current study, startle habituation was investigated in cannabis users with lifetime CUD relative to controls (lifetime non-users of cannabis) during two attentional tasks. The results of ANCOVA are shown in Table 3.
The same pattern of responses as in the previous analysis was seen in controls (lifetime non-users of cannabis) and cannabis users with lifetime CUD. Specifically, startle magnitudes were similar in both groups (Fig. 2a). Startle habituation (with moderate effect size; Fig. 2b) and attentional modulation (with large effect size; Fig. 2c) occurred in both groups. Finally, startle habituation with moderate effect sizes was observed on the Ignore Task in both groups (Fig. 2d).
The current study shows that habituation of the acoustic startle reflex depends on selective attention but not on cannabis use or CUD in otherwise healthy samples from the general population. Although the statistical power to detect group differences was low based on small group sizes, the pattern and magnitude of startle responses were remarkably similar between healthy controls and cannabis users in our study (using selective attention paradigms) and also in other, uninstructed, studies [9, 19, 20]. It appears that startle habituation occurs in the absence of a specific attentional instruction in controls and cannabis users (some with CUD and in those at risk for psychosis) [9, 19, 20] or only when attention is directed away from pulses during a selective attention paradigm (current study). Therefore, unlike PPI, startle habituation may not be affected by any level of cannabis use. Specifically, startle habituation occurred in heavier users of cannabis using six days per week  and four days per week , following cannabis abstinence for 18 h to three days [19, 20], in users with urine positive for cannabinoids (our study, [9, 20]), and in users with lifetime CUD (our study and ). On the other hand, a high degree of heterogeneity in definition of cannabis use among all studies above might have masked any deficits in startle habituation. Future research with larger samples is necessary to assess startle habituation depending on the acute vs. long-term use and in reliably and validly classified low-level vs. heavy cannabis users.
Interestingly, startle habituation was present when participants ignored the auditory pulses and startle responses were similar in magnitude in controls, cannabis users, as well as in a pilot sample of non-users of cannabis with schizophrenia (data for latter not shown). Since the same pilot sample of schizophrenia patients and the same cannabis users showed a significant reduction in PPI when attending to pulses relative to controls , a trend towards an intact startle habituation in all three groups indicates that different neural processes might underlie startle habituation and PPI. In general, unlike the influence of attention on PPI, it seems that a minimal processing of pulses required while attention is being directed away from them, was necessary for startle habituation to occur in our study and also in another study using healthy participants .
The current results confirm that the startle reflex is modulated by selective attention in healthy controls and also in cannabis users. Both groups showed consistently reduced startle responses when attention was directed away from pulses compared to attending to pulses. A similar pattern of attentional modulation of startle magnitudes was shown in another study with healthy participants on the Visual Attention Task (equivalent to our Ignore Task) compared to the No Attention Task (passive attention equivalent to our Attend Task) and Auditory Attention Task (active attention) . Intact attentional modulation of startle habituation in cannabis users is surprising considering that cannabis use affects selective attention . Therefore, on the one hand, the attentional deficit associated with cannabis consumption might depend on a difficulty of an attentional task and be less severe than the attentional deficit observed in schizophrenia . On the other hand, any impairments in selective attention might depend on factors, such as acute intoxication or the frequency/total duration of cannabis use  rather than on any level of cannabis use and/or presence of CUD (as in the current study). Therefore, future studies should investigate startle habituation during selective attention tasks taking into account task difficulty, acute intoxication, and heaviness of cannabis use.
There were a number of limitations in the current study. First, the statistical power to detect group differences was low due to only small sample sizes. Thus, the current results should be interpreted with caution and may not be generalisable to a wider population of cannabis users. Interestingly, the remarkably similar pattern of results (in terms of the effect sizes) suggests that at least a trend exists towards presence of startle habituation regardless of cannabis use. Second, as most other studies in this area, the current study was not specifically designed to focus on startle habituation. Our startle paradigm included pulse-alone and prepulse-and-pulse trials (excluded from the current analysis). Thus, startle habituation was inspected in blocks of pulse-alone trials rather than individual trials because of our complex study design (both attentional tasks started with different trials). We also included more trials per block than most other studies. An additional analysis using a three-block design produced similar results (not shown) to the results reported here. Thus, it is unlikely that a higher number of blocks with fewer trials would substantially alter our results. A study designed to best quantify startle habituation has shown that, similarly to trials included in our analysis, startle habituation occurred on trials 2–13 using 100 dB pulses . Third, we have not controlled for the personality traits or the general cognitive performance. Although startle habituation was not related to the former in healthy controls , personality characteristics affected habituation rate in healthy participants . Fourth, due to very low startle responses (mean peak magnitudes <10 μV) on all trials 23 % of all participants (N = 7 controls and N = 5 cannabis users) were classified as non-responders and were excluded from the study. The non-response rate probably resulted from deficiencies in detecting the EMG signal using skin-surface electrodes rather than from group membership because non-responders were found in both groups. Therefore, the electrode resistance should be measured prior to data collection to improve the quality of recording and reduce the non-response rate. Finally, although it cannot be ruled out, it is unlikely that acute cannabis use and presence of cannabinoids in urine affected the current results. There were no trends towards any associations between urine cannabinoids and startle habituation according to bivariate correlations (results not shown). However, future studies should investigate the impact of acute use of cannabis on startle habituation in larger samples.
In summary, startle habituation appears to depend on selective attention but not on cannabis use or CUD. Startle habituation was present when attention was directed away from auditory startling pulses in healthy controls and cannabis users. Such similar pattern of results in both groups suggests that at least a trend exists towards presence of startle habituation regardless of cannabis use. The current results should be replicated in larger samples of cannabis users taking into account the effects of acute exposure as well as heaviness and duration of use. Since startle habituation occurs when attention is drawn away from rather than directed towards the startling stimuli, researchers should control for any differences in attention between groups when studying startle habituation.
Cannabis use disorder
Prepulse inhibition of the startle reflex
Lev-Ran S, Roerecke M, Le Foll B, George TP, McKenzie K, Rehm J. The association between cannabis use and depression: a systematic review and meta-analysis of longitudinal studies. Psychol Med. 2014;44:797–810.
Kedzior K, Laeber L. A positive association between anxiety disorders and cannabis use or cannabis use disorders in the general population- a meta-analysis of 31 studies. BMC Psychiatry. 2014;14:136.
Kedzior KK, Gerkensmeier I, Lüdders L, Hofmann L, Engelhardt T-C. What do we know about the relationship between cannabis use and depression or anxiety in the general population? A summary of results from systematic reviews. Paper presented at the 50th Conference of the German Society for Psychology (DGPs). 2016.
Minozzi S, Davoli M, Bargagli AM, Amato L, Vecchi S, Perucci CA. An overview of systematic reviews on cannabis and psychosis: discussing apparently conflicting results. Drug Alcohol Rev. 2010;29:304–17.
Degenhardt L, Hall WD, Lynskey M, McGrath J, McLaren J, Calabria B, Whiteford H, Vos T. Should burden of disease estimates include cannabis use as a risk factor for psychosis? PLoS Med. 2009;6:29.
Koskinen J, Lohonen J, Koponen H, Isohanni M, Miettunen J. Rate of cannabis use disorders in clinical samples of patients with schizophrenia: a meta-analysis. Schizophr Bull. 2010;36:1115–30.
Large M, Sharma S, Compton MT, Slade T, Nielssen O. Cannabis use and earlier onset of psychosis: a systematic meta-analysis. Arch Gen Psychiatry. 2011;68:555–61.
Semple D, McIntosh A, Lawrie S. Cannabis as a risk factor for psychosis: systematic review. J Psychopharmacol. 2005;19:187–94.
Winton-Brown T, Kumari V, Windler F, Moscoso A, Stone J, Kapur S, McGuire P. Sensorimotor gating, cannabis use and the risk of psychosis. Schizophr Res. 2015;164:21–7.
Swerdlow NR, Braff DL, Geyer MA. Sensorimotor gating of the startle reflex: what we said 25 years ago, what has happened since then, and what comes next. J Psychopharmacol. 2016. doi:10.1177/0269881116661075.
Braff DL, Geyer MA, Swerdlow NR. Human studies of prepulse inhibition of startle: normal subjects, patient groups, pharmacological studies. Psychopharmacology (Berl). 2001;156:234–58.
Graham F. The more or less startling effects of weak prestimulation. Psychophysiology. 1975;12:238–48.
Dawson M, Hazlett E, Filion D, Nuechterlein K, Schell A. Attention and schizophrenia: impaired modulation of the startle reflex. J Abnorm Psychol. 1993;102:633–41.
Geyer M, Braff D. Habituation of the blink reflex in normals and schizophrenic patients. Psychophysiology. 1982;19:1–6.
Braff D, Stone C, Callaway E, Geyer M, Glick I, Bali L. Prestimulus effects on human startle reflex in normals and schizophrenics. Psychophysiology. 1978;15:339–43.
Scholes KE, Martin-Iverson MT. Disturbed prepulse inhibition in patients with schizophrenia is consequential to dysfunction of selective attention. Psychophysiology. 2010;47:223–35.
Swerdlow N, Weber M, Qu Y, Light G, Braff D. Realistic expectations of prepulse inhibition in translational models for schizophrenia research. Psychopharmacology (Berl). 2008;199:331–88.
Morales-Munoz I, Jurado-Barba R, Ponce G, Martinez-Gras I, Jimenez-Arriero MA, Moratti S, Rubio G. Characterizing cannabis-induced psychosis: a study with prepulse inhibition of the startle reflex. Psychiat Res. 2014;220:535–40.
Quednow BB, Kuhn KU, Hoenig K, Maier W, Wagner M. Prepulse inhibition and habituation of acoustic startle response in male MDMA ('ecstasy') users, cannabis users, and healthy controls. Neuropsychopharmacology. 2004;29:982–90.
Mathias C, Blumenthal T, Dawes M, Liguori A, Richard D, Bray B, Tong W, Dougherty D. Failure to sustain prepulse inhibition in adolescent marijuana users. Drug Alcohol Depend. 2011;116:110–6.
Kedzior K, Martin-Iverson M. Chronic cannabis use is associated with attention-modulated reduction in prepulse inhibition of the startle reflex in healthy humans. J Psychopharmacol. 2006;20:471–84.
Scholes KE, Martin-Iverson MT. Alterations to pre-pulse inhibition (PPI) in chronic cannabis users are secondary to sustained attention deficits. Psychopharmacology (Berl). 2009;207:469–84.
Kedzior K, Martin-Iverson M. Attention-dependent reduction in prepulse inhibition of the startle reflex in cannabis users and schizophrenia patients- a pilot study. Eur J Pharmacol. 2007;560:176–82.
Scholes-Balog KE, Martin-Iverson MT. Cannabis use and sensorimotor gating in patients with schizophrenia and healthy controls. Hum Psychopharm Clin. 2011;26:373–85.
Rankin CH, Abrams T, Barry RJ, Bhatnagar S, Clayton DF, Colombo J, Coppola G, Geyer MA, Glanzman DL, Marsland S, McSweeney FK, Wilson DA, Wu CF, Thompson RF. Habituation revisited: an updated and revised description of the behavioral characteristics of habituation. Neurobiol Learn Mem. 2009;92:135–8.
Geyer M, Swerdlow N, Mansbach R, Braff D. Startle response models of sensorimotor gating and habituation deficits in schizophrenia. Brain Res Bull. 1990;25:485–98.
Akdag S, Nestor P, O'Donnell B, Niznikiewicz M, Shenton M, McCarley R. The startle reflex in schizophrenia: Habituation and personality correlates. Schizophr Res. 2003;64:165–73.
Bolino F, Manna V, Di Cicco L, Di Michele V, Daneluzzo E, Rossi A, Cassacchia M. Startle reflex habituation in functional psychoses: a controlled study. Neurosci Lett. 1992;145:126–8.
Braff D, Grillon C, Geyer M. Gating and habituation of the startle reflex in schizophrenic patients. Arch Gen Psychiatry. 1992;49:206–15.
Hammer TB, Oranje B, Fagerlund B, Bro H, Glenthoj BY. Stability of prepulse inhibition and habituation of the startle reflex in schizophrenia: a 6-year follow-up study of initially antipsychotic-naive, first-episode schizophrenia patients. Int J Neuropsychoph. 2011;14:913–25.
Ludewig K, Geyer M, Etzensberger M, Vollenweider F. Stability of the acoustic startle reflex, prepulse inhibition, and habituation in schizophrenia. Schizophr Res. 2002;55:129–37.
Ludewig K, Geyer M, Vollenweider F. Deficits in prepulse inhibition and habituation in never-medicated, first-episode schizophrenia. Biol Psychiatry. 2003;54:121–8.
Meincke U, Light G, Geyer M, Braff D, Gouzoulis-Mayfrank E. Sensitization and habituation of the acoustic startle reflex in patients with schizophrenia. Psychiat Res. 2004;126:51–61.
Parwani A, Duncan E, Bartlett E, Madonick S, Efferen T, Rajan R, Sanfilipo M, Chappell P, Chakravorty S, Gonzenbach S, Ko G, Rotrosen J. Impaired prepulse inhibition of acoustic startle in schizophrenia. Biol Psychiatry. 2000;47:662–9.
Taiminen T, Jaaskelainen S, Ilonen T, Meyer H, Karlsson H, Lauerma H, Leinonen KM, Wallenius E, Kaljonen A, Salokangas RK. Habituation of the blink reflex in first-episode schizophrenia, psychotic depression and non-psychotic depression. Schizophr Res. 2000;44:69–79.
Braff D, Swerdlow N, Geyer M. Symptom correlates of prepulse inhibition deficits in male schizophrenic patients. Am J Psychiatry. 1999;156:596–602.
Quednow BB, Wagner M, Westheide J, Beckmann K, Bliesener N, Maier W, Kuehn K-U. Sensorimotor gating and habituation of the startle response in schizophrenic patients randomly treated with amisulpride or olanzapine. Biol Psychiatry. 2006;59:536–45.
Quednow BB, Frommann I, Berning J, Kühn K-U, Maier W, Wagner M. Impaired sensorimotor gating of the acoustic startle response in the prodrome of schizophrenia. Biol Psychiatry. 2008;64:766–73.
Lane ST, Franklin JC, Curran PJ. Clarifying the nature of startle habituation using latent curve modeling. Int J Psychophysiol. 2013;88:55–63.
Solowij N, Michie PT. Cannabis and cognitive dysfunction: Parallels with endophenotypes of schizophrenia? J Psychiatr Neurosci. 2007;32:30–52.
Kedzior K, Badcock J, Martin-Iverson M. Validity and consistency of self-reports regarding substance use in general research volunteers, including regular cannabis users and schizophrenia patients. Subst Use Misuse. 2006;41:743–50.
World Health Organization. Composite International Diagnostic Interview (CIDI), version 2.1. Geneva: World Health Organisation; 1997.
Gossop M, Darke S, Griffiths P, Hando J, Powis B, Hall W, Strang J. The Severity of Dependence Scale (SDS): psychometric properties of the SDS in English and Australian samples of heroin, cocaine and amphetamine users. Addiction. 1995;90:607–14.
Kedzior K, Martin-Iverson M. Concurrent validity of cannabis misuse diagnoses on CIDI-Auto 2.1 in low-level cannabis users from the general population. Aust J Psychol. 2007;59:169–75.
Swerdlow N, Eastvold A, Gerbranda T, Uyan K, Hartman P, Doan Q, Auerbach P. Effects of caffeine on sensorimotor gating of the startle reflex in normal control subjects: impact of caffeine intake and withdrawal. Psychopharmacology (Berl). 2000;151:368–78.
Borenstein M, Hedges L, Higgins J, Rothstein H. Introduction to meta-analysis. Great Britain: John Wiley & Sons, Ltd; 2009.
Schicatano E, Blumenthal T. The effects of caffeine and directed attention on acoustic startle habituation. Pharmacol Biochem Behav. 1998;59:145–50.
Solowij N, Michie P, Fox A. Differential impairments of selective attention due to frequency and duration of cannabis use. Biol Psychiatry. 1995;37:731–9.
Hasenkamp W, Kelley M, Egan G, Green A, Wilcox L, Boshoven W, Lewison B, Duncan E. Lack of relationship between acoustic startle and cognitive variables in schizophrenia and control subjects. Psychiat Res. 2011;187:324–8.
Blanch A, Balada F, Aluja A. Habituation in acoustic startle reflex: Individual differences in personality. Int J Psychophysiol. 2014;91:232–9.
We thank Professor Johanna Badcock (University of Western Australia) and Professor Helen Stain (University of Newcastle, Australia) for assistance with clinical testing.
This research was funded by The Western Australian Foundation for Research into Schizophrenic Disorders and the NHMRC (grant no. 254619 awarded to MMI). The funding bodies were not involved in study design, collection, analysis, and interpretation of data, writing of the manuscript or the decision to submit the manuscript for publication.
Availability of data and material
All data are available upon request from the first author. The individual participant data are not available publicly since we did not seek the ethical permission to share such data (participants consented to publication of their data as part of a group only).
KKK and MMI designed the study, KKK and EW analyzed the data, all authors contributed to writing of the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The study was approved by the research ethics committees at the University of Western Australia and Graylands Hospital, Perth, Australia, and all participants gave a written informed consent to take part in the study.