The Association of Ambient Temperature and Violent Crime

It is controversial if global warming will result into increased crime and conflict rate, and no causal neurobiological mechanisms have been proposed for the putative association between ambient temperature and aggressive behavior. This study shows that during 1996–2013, ambient temperature explained 10% of variance in the violent crime rate in Finland, corresponding to a 1.7% increase/degree centigrade. Ambient temperature also correlated with a one month delay in circannual changes in peripheral serotonin transporter density among both offenders and healthy control subjects, which itself correlated strongly with the monthly violent crime rate. This suggests that rise in temperature modulates serotonergic transmission which may increase impulsivity and general human activity level, resulting into increase in social interaction and risk of violent incidents. Together, these results suggest that the effect of ambient temperature on occurrence of violent crime is partly mediated through the serotonergic system, and that a 2 °C increase in average temperatures would increase violent crime rates by more than 3% in non-tropical and non-subtropical areas, if other contributing factors remained constant.

Similar content being viewed by others

A nationwide time-series analysis for short-term effects of ambient temperature on violent crime in South Korea

Article Open access 08 February 2024

Neural mechanisms of aggression across species

Article 12 October 2020

A discrete serotonergic circuit regulates vulnerability to social stress

Article Open access 24 August 2020

Introduction

The effect of global warming on the occurrence of violence and conflict have received increasing attention during the last 10 years 1,2,3,4 . Some studies have suggested that climate has a substantial effect on conflicts and violence 1, 2 , while others have not found any significant association 5, 6 . The methodology and measurement of violence and related issues is complex, since a large number of factors are involved; e.g., high temperature, decreased rainfall, overpopulation, decreased food supplies, and other social, economical and political conditions. Instead of studying conflicts and wars, the present study investigated the relationship between ambient temperature and the occurrence of interpersonal violent behaviors. Several studies have reported a linear or curvilinear relationship between high temperatures and violent offences 7,8,9,10 . Several models of the temperature-aggression hypothesis have been suggested, including physiological-thermoregulatory model 11 . However, to our knowledge, no causal neurobiological mechanisms have been proposed thus far.

Several studies have shown that seasonal variation in the occurrence of suicide is associated with concomitant variations of meteorological and biochemical variables 12,13,14,15 . Thus far, concerning weather conditions, high correlations have been reported between suicide rates and ambient temperature, relative humidity, and the amount of sunlight 12 . Among biological factors, the serotonergic system has a major role in regulating violent behavior 13 . Ambient temperature, seasonality and relative humidity have been observed to be associated with Bmax values from platelet [ 3 H]-paroxetine and [ 3 H]-citalopram binding studies 14, 15 . These findings imply that ambient environmental conditions modulate serotonin (5-HT) function, and that changes in 5-HT function lead to variations in human behavior. This is in line with previous studies which indicate that low CSF-5-hydroxy-indoleacetic acid (5-HIAA) levels are associated with violent suicide and impulsive violence directed towards other persons 16, 17 . However, to our knowledge, no associations have been reported between seasonal variations, violent offences and serotonergic biomarkers.

We previously reported a seasonal variation in the homicide occurrence in Finland and suggested that this variation is associated with circannual rhythms of 5-HT function 18 , and that the seasonal variation of peripheral serotonin transporter is more profound among violent offenders than healthy subjects 15 . Earlier studies have already demonstrated that platelet serotonin transporters (SERT) are peripheral biomarkers of serotonergic neurotransmission in the brain 19 . These results encouraged us to study the associations between the occurrence of violent crimes, weather conditions and platelet SERT density. Based on earlier studies, we hypothesized that there may a positive correlation between the amount of sunshine, ambient temperature and the occurrence of violent crime. A second hypothesis stated that there is a negative correlation between the density (Bmax) of platelet SERT (i.e., citalopram binding) and the occurrence of violent crime, as low levels of platelet paroxetine binding 20,21,22,23,24 (i.e., SERT density) and low 5-HT re-uptake site densities in the midbrain 25 are associated with aggressive behavior.

Results

Figure 1 shows the incidence of violent crime during 1996–2013 in Finland, and Fig. 2 shows the correlation between mean monthly ambient temperature and the number of violent crimes. As expected, a strong correlation was observed between the monthly violent crime rate and monthly mean ambient temperature (r = 0.51, N = 216, p = 7.6 × 10 −16 ). The corresponding correlation between the monthly sum of direct sunshine hours (normalized with the number of days/month) vs. monthly violent crime was substantially weaker (r = 0.24, N = 216, p = 1.9 × 10 −4 ) than for ambient temperature vs. monthly violent crime rate (p = 1.4 −07 for the comparative difference). The correlation co-efficient between monthly violent crime rate and mean ambient temperature of the preceding month (i.e., one month earlier) was 0.40 (N = 216, p = 1.8 × 10 −9 ).

figure 1

figure 2

Figure 3 shows a correlation between ambient temperature vs. violent crime rate stratified by month. Overall, ambient temperature explained 10% of the variance in violent crime rates (r = 0.31, 95%CI 0.17–0.43; p = 2.0 × 10 −5 ). The correlation between sunshine hours and violent crime became weakly negative when months were stratified (r = −0.19, 95%CI −0.05 to −0.33). (Supplementary Figure S1). The IRR is shown in Fig. 4 as a function of temperature, with a 1.7% increase in violent crime incidence per degree centigrade.

figure 3

figure 4

The Bmax values for the platelet 5-HT reuptake sites (SERT) are presented in Supplementary Table S1 and Supplementary Figure S2. The mean Bmax values for SERT showed a clear seasonal fluctuation for both groups, with a maximum in February and minimum value in July. Figure 5 shows the correlations between ambient temperature, peripheral serotonin transporter densities and violent crime rates. Among healthy individuals, an analysis during a 12-month period showed that ambient temperature, with a one-month delay, correlated significantly with peripheral serotonin transporter density (r = −0.64, p = 0.0025, df = 12), which itself correlated negatively with the incidence of violent crime (r = −0.56, p = 0.06). While ambient temperature of the preceding month explained 34% of the variance in violent crime rate during the 12-month period, its contribution was diluted to 13% (partial correlation co-efficient 0.36) when SERT density was used as a co-variate. Among violent offenders, the correlation between SERT density and ambient temperature with a one-month delay was even stronger (r = −0.68, p = 0.02, df = 11), and SERT density explained 39% of the variance in the violent crime rate (r = −0.63, p = 0.039). When the SERT density of violent offenders was used as a co-variate, the contribution of ambient temperature of the preceding month to the incidence of violent crime decreased from 34% to 15% (partial correlation co-efficient 0.38). The results for contemporaneous month are shown in Supplementary Figure S3. In that analysis the correlation was weaker (r = −0.46, vs. −0.64) between Bmax of controls and ambient temperature but slightly stronger between Bmax of offenders and ambient temperature (r = −0.683 vs. −0.676) than for one-month delay analysis. Correlations between the monthly sum of sunshine hours (normalized with the number of days/month) vs. SERT densities (r = −0.15, p = 0.64 among healthy individuals; r = −0.35, p = 0.29 among violent offenders) were weaker than those for ambient temperature. The correlation between sunshine hours and montly violent crime rate was 0.60, p = 0.04.

figure 5

Discussion

These results demonstrate that low 5-HT transporter density and high ambient temperatures are associated with higher rates of violent crimes in Finland. Over a 16-year period, increases in ambient temperature accounted for 24% of the seasonal variation in violent crime without monthly stratification, and 10% when stratified by month. An additional analysis during a 12-month period showed that ambient temperature correlated with a one month delay in the seasonal changes in peripheral SERT density (r = −0.64 among healthy subjects and −0.68 among violent offenders), which itself correlated strongly with monthly violent crime rate (r from −0.56 to −0.63, respectively). This implies that the seasonal variation in violent offending is influenced by natural fluctuations in the serotonergic system, and that a 2 °C increase in ambient temperature could increase the violent crime rate by more than 3% if other contributing factors remained constant. This estimate is close to the results published by Ranson 10 , which suggest that climate change will increase the incidence of murder in the United States by 2.2%, and the incidence of aggravated assaults by 2.3%, by end of the century. Concerning absolute numbers of violent crime, Anderson et al. have estimated that 8 °F (corresponding to about 4 °C) warming will result to 100,000 additional murders/assults in US 26 . Two previous studies on this topic have suggested that the positive correlation between ambient temperature is non-linear, and that incidence of violent crime does not increase further when the ambient temperature is higher than 27–32 °C 8, 27 . However, these findinds may be explained by shortcomings in analytical methods, and the correlation is more linear when time of the day is taken into account in the statistical analysis 28 . Although it seems plausible that the correlation between ambient temperature and aggressive behaviour exists also beyond temperatures higher than 27 °C, our results can be generalized with reasonable quantitative certainty only to non-tropical and non-subtropical areas, where mean temperatures for all months are below 25 °C, with substantial seasonal variations in temperature.

Global warming may increase violent behavior by worsening of developmental environment of children, by causing war and civil unrest, and by direct effect on the human physiology 29 . Our finding of a substantial inverse correlation between monthly mean Bmax and monthly assault occurrence rates is in line with reports of reduced platelet imipramine Bmax among adolescents with conduct disorder 22 and impulsive-aggressive children 21 , as well with decreased cerebral SERT densities among suicidal individuals 30, 31 . On the other hand, our violent offenders had higher Bmax values than healthy individuals. A similar finding has been reported by Coccaro et al. 20 who obtained higher SERT densities from patients with personality disorders and aggressive behaviour, when compared to healthy individuals. However, within the aggressive patient group the Bmax values had an inverse correlation with aggressivity 20 . Because most all of our patients were habitual violent offenders, it was not possible to use standard aggression scales to analyze the correlation between Bmax and aggression, as the majority of them would have had maximum scores. In conclusion, alterations in SERT levels differ between depressed suicidal patients, impulsive children and adult antisocial individuals, thus reflecting heterogeneous dysfunctions of serotonergic system. Our results indicate that the serotonergic system responds to increasing ambient temperature with a one month delay. It is plausible to suggest that the gradient in the seasonal change of SERT levels is a major factor related to aggression, while the absolute amount of SERT activity (as Bmax) does not play a major role. We presume that alterations in platelet SERT density reflect analogous alterations in the brain, since previous studies have shown that SERT densities in the brain are higher during the autumn and winter when compared to spring and summer, and that there is a negative correlation between these densities and the duration of daily sunshine 32 . Also, light therapy is known to decrease SERT density in the brain 33 . Although hours of sunshine had a somewhat similar correlation with peripheral SERT densities in our study, ambient temperature had substantially stronger correlations with both SERT densities and the occurrence of violent crime. Moreover, when the months were stratified, the correlation became weakly negative between sunshine and the violent crime rate. This suggests that ambient temperature may be the most important environmental factor that modifies aggressive behavior in humans. However, it must be acknowledged that we had data on SERT only for one year period, and it was not possible to stratify month in the one-year analysis to control the effect of other seasonal variables than temperature such as summer vacation. In the context of criminality, ambient temperature does not provide only the motive to commit a crime (increased impulsivity and irritability influenced by serotonergic system), but it does influence also opportunity. Put simply, violent crimes tend to be committed during nice weather (i.e., summer vs. winter).

To our knowledge, this is the first report to demonstrate that a seasonal variation in violent crime is associated with weather conditions and 5-HT function. However, this association does not necessarily indicate causation. In order to address the question of causation, we must consider the relationships that concern the associations between ambient temperature, serotonin transporter density and the occurrence of violent crime. To this end, we stratified the months to eliminate the effect of factors other than weather, such as the holiday season (i.e., we compared the results for cold January vs. mild January, or hot July with chilly July, and so on). By logic, it is extremely unlikely that a) SERT density or violent crime rate could affect ambient temperature, b) violent crime rates could affect SERT densities, or c) there could be a common causal factor other than the seasonal variation of solar radiation that could influence ambient temperature, SERT density, and violent crime. Therefore, it seems to be obvious that ambient temperature drives variations in SERT levels and the occurrence of violent crime. Either high ambient temperature and/or related sunshine has a solely direct effect on brain serotonergic activity, or the effect is mediated partly through intermediating factors. The analysis of 18-year period showed that although there was a substantial correlation between the mean ambient temperature of the preceding month versus the monthly violent crime rate (r = 0.40), agreeing with the assumption that ambient temperature modifies SERT-levels and violent behavior with one-month delay. However, the correlation was even stronger between mean ambient temperature of the current month versus the violent crime rate of the same month (r = 0.51). This indicates that the association between ambient temperature and violent behavior is multifactorial. Since a large body of literature implies that serotoninergic activity is strongly related to impulsive and aggressive behavior 16, 17, 20, 34 , it is reasonable to suggest that changes in serotonin transporter density modify the incidence of violent behavior, and that seasonal effects of solar radiation influence both. Recent studies indicate that, in animals, whole-body heating activates subdivisions of the dorsal raphe nucleus implicated in mood regulation, and whole-body warming has a substantial antidepressant effect in humans 35 . It is plausible that when temperature rises, people go out more and meet other people, which increases the rate of violent incidents. Therefore, the increase of violent crime rate is attributable also to serotonergic activation of the victims, and not only that of offenders. From an evolutionary point of view, ambient weather conditions have a direct impact on an eternal question for our species; should I stay or should I go? In particular, seasonal “bad” weather conditions (i.e., low ambient temperature, low amounts of sunshine) up-regulate 5-HT function, thereby decreasing impulsivity and risk-taking; e.g., influencing one to not wander too far from the homesite in bad weather. In contrast, “fine” weather (i.e., high ambient temperature and sunshine) may down-regulate 5-HT function and contribute to higher impulsivity and novelty seeking, such as hunting and other forms of useful aggression.

Materials and Methods

Monthly violent crime rates (total N = 551,529 during the years of 1996–2013) were obtained from the Statistics Centre of Finland. Violent crime was defined as homicide, attempted homicide, aggravated assault, attempted aggravated assault, assault and attempted assault. These rates (monthly number of crimes divided by the number of days in the month) were correlated (random-effects Poisson regression stratified by month) with the monthly mean temperatures from January 1996 to December 2013, obtained from the Finnish Meteorological Institute’s measurement station in Jokioinen, 60°49′N and 23°30′E, which is near the geographic center of the Finnish population. The monthly mean Bmax values were collected from volunteers in Kuopio from December 1996 – November 1997 and correlated (Pearson correlation) with the meteorological values obtained during the same 12-month period from the Finnish Meteorological Institute’s Kuopio measurement station (63°01′N and 27°48′E). Also, correlations between SERT Bmax values and monthly nationwide violent crime values (total N = 25,084 during 12 months) were calculated.

Monthly blood samples were analyzed from 33 male violent offenders (aged 34.5 ± 9.8 years, from December 1996 to November 1997) who were committed to a forensic mental examination at the Niuvanniemi high security state mental hospital in Kuopio, Finland, and 18 healthy males aged 31.4 ± 5.0 years (mean ± S.D.), who received no medication and lived within 50 km from the town of Kuopio (63°01′N and 27°48′E). The present study used data gathered form the previously published study by Callaway et al. 14 . All methods were carried out in accordance with relevant guidelines and regulations. Permission for that study and all experimental protocols used were granted by the Medical Director of Niuvanniemi Forensic Psychiatric Hospital, and all participants gave their voluntary informed consent. (The formal ethical committee procedure was established in 1999 in Finland.)

The average length of the hospital stay for the violent offenders, prior to sampling, was 9.7 days (SD ± 10.5, range 0–40 days), with no access to alcohol or other unprescribed drugs during their incarceration. Five of the 38 screened offenders were prescribed an antidepressant, and these individuals were excluded from the final analysis. Nineteen (58%) of the remaining 33 offenders had no prescribed medication at the time of blood sampling. Fourteen offenders (42%) were prescribed various medications, with some overlap, which included ibuprofen (2), ketoprofen (1), enalapril (ACE-inhibitor) (1), beta-blockers; sotalol (1) and atenolol (1), miconazole (1), glucocorticoid (1), zopiclone (5), lanzoprazol (1), nitzatidin (1), hydroxidizine (4), clonazapam (2), biperidine (2) and chlordiazepoxide (1). The majority of offenders had recently been convicted of a violent crime such as murder, manslaughter, rape, kidnapping, armed robbery, assault, arson, in addition to the recurrent use/misuse of alcohol, and five of the violent offenders (15%) were without a prior conviction for a previous violent crime. None of the violent offenders suffered from a DSM axis-1 mental disorder, aside from substance abuse.

Statistical calculations

The incidence of monthly violent crimes per 100,000 person years were normalized by taking into account the number of days in each month. The incidence and rate ratios (IRR) were estimated by using the Random-effects Poisson regression models with 95% confidence intervals (CIs), stratified by month. Nonlinear associations between temperature and violent crimes were modelled by using restricted cubic splines. The analyses were performed by Stata/SE version 10.1 for Windows (StataCorp. LP).

Blood sampling: collection of PRP from plasma

Platelet rich plasma (PRP) samples were collect in the morning between 7:00–9:00 throughout the study period. Briefly, whole blood was collected in glass tubes that contained 0.13% EDTA (13 mg/10 ml tube) as an anticoagulant. These samples were centrifuged at 250 g for 10 min, and the PRP (supernatant) was immediately transferred to clean plastic tubes for storage at −30 °C prior to analysis. At least 10 ml of PRP was required for the complete binding analysis of each sample. Concentrated homogenates were prepared as previously described 36, 37 .

Protein assay

Protein concentrations of platelet homogenates were assayed using a Coomassie protein assay kit from Bio-Rad (Bradford, 1976), using bovine serum albumin (Sigma) as a protein standard, prior to SERT Bmax analyses.

[3H]Citalopram binding assay

Eight concentrations of [ 3 H]citalopram (specific activity 85.5 Ci/mmol, Du Pont NEN, Boston, MA), ranging from 0.05 to 6.00 nmol were used to determine K d in solutions of isolated platelets. Bmax was calculated from an additional single point analysis at 5.5 nmol in triplicate (i.e. non-specific binding plus the sample in duplicate). Specific binding was defined as the total binding minus binding in the presence of 0.10 μmol paroxetine (Beecham Pharmaceuticals, Gf. Burgh, Epsom, Surrey, UK). Incubation was at room temperature for 1.5 h. Membranes were recovered and washed with ice cold incubation buffer through Whatman GF/B filters using a 96 channel harvester (Brandel 96, Gaithersburg, MD), where filter-bound [3H]citalopram did not exceed 5%. Radioactivity was calculated by a Wallach 1450 MicroBeta Trilux liquid scintillation counter, as previously described 36 .

References

  1. Hsiang, S. M., Burke, M. & Miguel, E. Quantifying the influence of climate on human conflict. Science341, 1235367 (2013). ArticlePubMedGoogle Scholar
  2. Hsiang, S. M., Meng, K. C. & Cane, M. A. Civil conflicts are associated with the global climate. Nature476, 438–441 (2011). ArticleADSCASPubMedGoogle Scholar
  3. O’Loughlin, J., Linke, A. M. & Witmer, F. D. Effects of temperature and precipitation variability on the risk of violence in sub-Saharan Africa, 1980-2012. Proc. Natl. Acad. Sci. USA111, 16712–16717 (2014). ArticleADSPubMedPubMed CentralGoogle Scholar
  4. Bohannon, J. Social science. Study links climate change and violence, battle ensues. Science341, 444–445 (2013). CASPubMedGoogle Scholar
  5. Buhaug, H. Climate not to blame for African civil wars. Proc. Natl. Acad. Sci. USA107, 16477–16482 (2010). ArticleADSCASPubMedPubMed CentralGoogle Scholar
  6. Bergholt, D. & Lujala, P. Climate-related natural disasters, economic growth, and armed civil conflict. J. Peace Res.49, 147–162 (2012). ArticleGoogle Scholar
  7. Bushman, B. J., Wang, M. C. & Anderson, C. A. Is the curve relating temperature to aggression linear or curvilinear? Assaults and temperature in Minneapolis reexamined. J. Pers. Soc. Psychol.89, 62–66 (2005). ArticlePubMedGoogle Scholar
  8. Rotton, J. & Cohn, E. G. Violence is a curvilinear function of temperature in Dallas: a replication. J. Pers. Soc. Psychol.78, 1074–1081 (2000). ArticleCASPubMedGoogle Scholar
  9. Jacob, B., Lefgren, L. & Moretti, E. The dynamics of criminal behavior: evidence from weather shocks. J. Hum. Resour.42, 489–527 (2007). ArticleGoogle Scholar
  10. Ranson, M. Crime, weather, and climate change. J. Environ. Econ. Manage. 67, 274–302 (2014).
  11. Anderson, C. A. Temperature and aggression. Ubiquitous effects of heat on occurrence of human violence. Psychol. Bull.106, 74–96 (1989). ArticleCASPubMedGoogle Scholar
  12. Tsai, J. F. & Cho, W. Temperature change dominates the suicidal seasonality in Taiwan: a time-series analysis. J. Affect. Disord.136, 412–418 (2012). ArticlePubMedGoogle Scholar
  13. Sadkowski, M. et al. The role of the serotonergic system in suicidal behavior. Neuropsychiatr. Dis. Treat.9, 1699–1716 (2013). PubMedPubMed CentralGoogle Scholar
  14. D’Hondt, P. et al. Seasonal variation in platelet [3H]paroxetine binding in healthy volunteers. Neuropsychopharmacology15, 187–198 (1996). ArticlePubMedGoogle Scholar
  15. Callaway, J. et al. Seasonal variations in [3H]citalopram platelet binding between healthy controls and violent offenders in Finland. Hum. Psychopharmacol. 20, 467–472 (2005). Erratum in Hum. Psychopharmacol. 31, 433 (2016).
  16. Åsberg, M. Neurotransmitters and suicidal behavior. The evidence from cerebrospinal fluid studies. Ann. N. Y. Acad. Sci.836, 158–181 (1997). ArticlePubMedGoogle Scholar
  17. Virkkunen, M., Eggert, M., Rawlings, R. & Linnoila, M. A prospective follow-up study of alcoholic violent offenders and fire setters. Arch. Gen. Psychiatry53, 523–529 (1994). ArticleGoogle Scholar
  18. Tiihonen, J., Räsänen, P. & Hakko, H. Seasonal variation in the occurrence of homicide in Finland. Am. J. Psychiatry154, 1711–1714 (1997). ArticleCASPubMedGoogle Scholar
  19. Yubero-Lahoz, S., Robledo, P., Farré, M. & de la Torre, R. Platelet SERT as a peripheral biomarker of serotonergic neurotransmission in the central nervous system. Curr. Med. Chem.20, 1382–1396 (2013). ArticleCASPubMedGoogle Scholar
  20. Coccaro, E. F., Kavoussi, R. J., Sheline, Y. I., Lish, J. D. & Csernansky, J. G. Impulsive aggression in personality disorder correlates with tritiated paroxeting binding in the platelet. Arch. Gen. Psychiatry53, 531–536 (1996). ArticleCASPubMedGoogle Scholar
  21. Birmaher., B. et al. Platelet imipramine binding in children and adolescents with impulsive behavior. J. Am. Acad. Child Adolesc. Psychiatry29, 914–918 (1990). ArticleCASPubMedGoogle Scholar
  22. Marazziti, D. et al. Role of serotonin in human aggressive behavior. Aggress. Behav.9, 347–353 (1993). ArticleGoogle Scholar
  23. Stoff, D. M., Pollock, L., Vitiello, B., Behar, D. & Bridger, W. H. Reduction of (3H)-imipramine binding sites on platelets of conduct-disordered children. Neuropsychopharmacology1, 55–62 (1987). ArticleCASPubMedGoogle Scholar
  24. Marseille, R., Lee, R. & Coccaro, E. F. Inter-relationship between different platelet measures of 5-HT and their relationship to aggression in human subjects. Prog. Neuropsychopharmacol. Biol. Psychiatry36, 277–281 (2012). ArticleCASPubMedGoogle Scholar
  25. Tiihonen, J. et al. Single-photon emission tomography imaging of monoamine transporters in impulsive violent behaviour. Eur. J. Nucl. Med.24, 1253–1260 (1997). ArticleCASPubMedGoogle Scholar
  26. Anderson, C. A., Anderson, K. B., Dorr, N., DeNeve, K. M. & Flanagan, M. Temperature and aggression. Adv. Exp. Soc. Psychol.32, 63–133 (2000). ArticleGoogle Scholar
  27. Cohn, E. G. & Rotton, J. Assault as a function of time and temperature: A moderator variable time-series analysis. J. Person. Soc. Psychol.72, 1322–1334 (1997). ArticleGoogle Scholar
  28. Bushman, B. J., Wang, M. C. & Anderson, G. A. Is the curve relating temperature to aggression linear or survilinear? Assaults and temperature in Minneapolis reexamined. J. Person. Soc. Psychol.89, 62–66 (2005). ArticleGoogle Scholar
  29. Anderson, C. A. & DeLisi, M. Implications of global climate change for violence developed and developing countries. Chapter in J. Forgas, A. Kruglanski & K. Williams (Eds), The Psychology of Social Conflict and Aggression. pp. 249–265. New York: Psychology Press (2011).
  30. Mann, J. J. et al. A serotonin transporter gene promoter polymorphism (5-HTTLPR) and prefrontal cortical binding in major depression and suicide. Arch. Gen. Psychiatry57, 729–738 (2000). ArticleCASPubMedGoogle Scholar
  31. Yeh, Y. W. et al. Incongruent reduction of serotonin transporter associated with suicide attempts in patients with major depressive disorder: a positron emission tomography study with 4-[18F]-ADAM. Int. J. Neuropsychopharmacol.18, 1–9, doi:10.1093/ijnp/pyu065 (2015). CASGoogle Scholar
  32. Praschak-Rieder, N., Willeit, M., Wilson, A. A., Houle, S. & Meyer, J. H. Seasonal variation in human brain serotonin transporter binding. Arch. Gen. Psychiatry65, 1072–1078 (2008). ArticlePubMedGoogle Scholar
  33. Harrison, S. J. et al. Light therapy and serotonin transporter binding in the anterior cingulate and prefrontal cortex. Acta Psychiatr. Scand.132, 379–388 (2015). ArticleCASPubMedPubMed CentralGoogle Scholar
  34. Coccaro, E. F., Fanning, J. R., Phan, K. L. & Lee, R. Serotonin and impulsive aggression. CNS Spectr.20, 295–302 (2015). ArticlePubMedGoogle Scholar
  35. Janssen, C. W. et al. Whole-body hyperthermia for the treatment of major depressive disorder: A randomized clinical trial. JAMA Psychiatry73, 789–795 (2016). ArticlePubMedGoogle Scholar
  36. Callaway, J. C., Airaksinen, M. M., McKenna, D. J., Brito, G. S. & Grob, C. S. Platelet serotonin uptake sites increased in drinkers of ayahuasca. Psychopharmacol.116(385), 387 (1994). Google Scholar
  37. Plenge, P. & Mellerup, E. T. [3H]citalopram binding to brain and platelet membranes of human and rat. J. Neurochem.56, 248–252 (1991). ArticleCASPubMedGoogle Scholar

Author information

Authors and Affiliations

  1. Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, FI-70240, Kuopio, Finland Jari Tiihonen
  2. Department of Clinical Neuroscience, Karolinska Institutet, S-171 76, Stockholm, Sweden Jari Tiihonen
  3. University of Jyväskylä, FI-40014, Jyväskylän yliopisto, Jyväskylä, Finland Pirjo Halonen
  4. University of Tampere, FI-33100, Tampere, Finland Laura Tiihonen
  5. Unit of Primary Care, Helsinki University Central Hospital, and Department of General Practice, University of Helsinki, FI-00014, Helsingin yliopisto, Helsinki, Finland Hannu Kautiainen
  6. Department of Pharmacology and Toxicology, University of Eastern Finland, FI-70211, Kuopio, Finland Markus Storvik
  7. Department of Pharmaceutical Chemistry, University of Eastern Finland, FI-70211, Kuopio, Finland James Callaway
  1. Jari Tiihonen