| Literature DB >> 30650635 |
Ángel Romero-Martínez1, Macarena González2, Marisol Lila3, Enrique Gracia4, Luis Martí-Bonmatí5, Ángel Alberich-Bayarri6, Rebeca Maldonado-Puig7, Amadeo Ten-Esteve8, Luis Moya-Albiol2.
Abstract
Introduction: There is growing scientific interest in understanding the biological mechanisms affecting and/or underlying violent behaviors in order to develop effective treatment and prevention programs. In recent years, neuroscientific research has tried to demonstrate whether the intrinsic activity within the brain at rest in the absence of any external stimulation (resting-state functional connectivity; RSFC) could be employed as a reliable marker for several cognitive abilities and personality traits that are important in behavior regulation, particularly, proneness to violence. Aims: This review aims to highlight the association between the RSFC among specific brain structures and the predisposition to experiencing anger and/or responding to stressful and distressing situations with anger in several populations.Entities:
Keywords: Keywords. Anger state; brain; inmates; mental illness; resting functional connectivity; violence
Year: 2019 PMID: 30650635 PMCID: PMC6359496 DOI: 10.3390/bs9010011
Source DB: PubMed Journal: Behav Sci (Basel) ISSN: 2076-328X
Figure 1Flow chart of literature search with reasons for exclusion.
Main sociodemographic characteristics and details about the participants in each study and the assessment methods used. ADHD: attention deficit hyperactivity disorder, fMRI: functional magnetic resonance imaging, TBI: traumatic brain injury.
| Authors | Sample Characteristics | Age | Gender | Education | Drug Use | Handedness | Violent Behavior Assessment | Methods of Analysis |
|---|---|---|---|---|---|---|---|---|
| Park et al. (2018) [ | Healthy young children (n = 79) | 6.06 ± 0.96 | 49% ♂ 51% ♀ | - | - | - | Child Behavior Checklist | Seed-based |
| Fulwiler et al. (2012) [ | Healthy males (n = 16) | 34 ± 14.42 | ♂ | - | No current drug use | Right-handed | Spielberger State–Trait Anger Expression Inventory-2 | ROI |
| Abram et al. (2015) [ | Psychiatry healthy sample (n = 244) | 26 | 50% ♂ 50% ♀ | - | No current drug use | Right-handed | Externalizing Spectrum Inventory, brief form | ICA |
| Klasen et al. (2018) [ | Healthy young adults (n = 83) | 23.8 ± 3.6 | ♂ | - | - | Right-handed | Buss–Perry Aggression Questionnaire | ROI |
| Kolla et al. (2018) [ | Antisocial personality disorder subjects (n = 21) | 36.2 ± 8.7 | ♂ | - | No current drug use | - | Buss–Perry Aggression Questionnaire | ROI |
| Hoptman et al. (2010) [ | Patients with schizophrenia or schizoaffective disorder (n = 25) | 36.7 ± 10.5 | 88% ♂ 12% ♀ | 12.3 ± 2.1 (years) | CPZ equivalents | - | Buss Perry Aggression Questionnaire | ROI |
| Wagner et al. (2018) [ | Unmedicated female patients with BPD (n = 33) Controls (n = 33) | 26.7 ± 6.4 | ♀ | 12.1 ± 1.6 (years) | No current drug use | . | Buss–Perry Aggression Questionnaire | ROI |
| Hasler et al. (2017) [ | ADHD (n = 30) | 38.7 ± 9.9 | 70% ♂ 30% ♀ | - | 48h free of methylphenidate before fMRI | Right handed | Spielberger State–Trait Anger Expression Inventory-2 | CO2 challenge regressor |
| McGlade et al. (2015) [ | Veterans males with TBI (n = 24) | 37.75 ± 9.59 | ♂ | 14.33 ± 2.10 (years) | - | - | Buss–Perry Aggression QuestionnaireDisplaced Aggression Questionnaire | Seed-based |
| Goswami et al. (2016) [ | Retired athletes with a history of multiple concussions (n = 19); Controls (n = 17) | 50 ± 12 | ♂ | 17 ± 1.8 | No current drug use | - | Personality Assessment Inventory (aggression scale) | Seed-based |
| Dailey et al. (2018) [ | Adults with TBI (n = 17) Healthy controls (n = 17) | 21.86 ± 2.79 | 26% ♂ 73% ♀ | - | - | - | Buss–Perry Aggression Questionnaire | ROI |
| Gilam et al. (2017) [ | Soldiers (n = 60) | 18.62 ± 0.88 | ♂ | > secondary education | No current drug use | Right-handed | Spielberger State–Trait Anger Expression Inventory | Brain functional parcellation |
| Buades-Rotger et al. (2018) [ | Healthy young women (n = 39) | 23.22 ± 3.2 | ♀ | - | No current drug use | Right-handed | Social Threat Aggression Paradigm | ROI |
| Siep et al. (2018) [ | Violent offenders (n = 18) Non-offender controls (n = 18) | 35.17 ± 7.12 | ♂ | Current alcohol use | - | - | Seed-based | |
| Chen et al. (2015) [ | Young violent offenders (n = 30) | 16.06 ± 0.7 16.06 ± 0.4 | ♂ | 7.76 ± 2.2 | - | Right-handed | - | ROI |
| Leutgeb et al. (2016) [ | Violent inmates of maximum security prison (n = 31) | 36.8 ±12.0 | ♂ | 11.3 ± 1.7 (years) | Non-medicated | Right-handed | - | Seed-based |
| Varkevisser et al. (2017) [ | Impulsive and violent soldiers (n = 28) Controls (n = 30) | 36.54 ± 6.27 | ♂ | 67,9% middle | - | - | Interviews and criminal records | ROI |
Resting functional connectivity and its role in anger pronenes. mOFC: medial orbitofrontal cortex, OFC: orbitofrontal cortex, PFC: prefrontal cortex, vmPFC: ventromedial prefrontal cortex.
| Brain Structure (From) | Brain Structure (To) | Functional Connectivity | Aggression Assessment |
|---|---|---|---|
| Trait aggression | |||
| Amygdala (bilateral) | Left mOFC | ⬇ | ⬆ Trait aggression |
| vmPFC | ⬇ | ⬆ Trait aggression | |
| Nucleus centralis superior (median raphe nucleus) | Frontopolar cortex (Brodmann area 10) | ⬇ | ⬆ Trait aggression |
| vmPFC | Bilateral supramarginal gyrus | ⬇ | ⬆ Trait aggression |
| Amygdala (right) | Inferior frontal gyrus (right) | ⬆ | ⬆ Trait aggression |
| vmPFC | Angular gyrus (right) | ⬆ | ⬆ Trait aggression |
| Anger expression | |||
| Amygdala (bilateral) | Left mOFC | ⬇ | ⬇ Anger control-out |
| Hippocampus (right) | Parietal (supramarginal and angular gyrus) | ⬆ | ⬆ Anger expression-out |
| Proactive aggression | |||
| Ventral striatal | Angular gyrus | ⬆ | ⬆ Proactive aggression |
| Physical aggression | |||
| OFC (left) | Left angular region | ⬇ | ⬆ Physical aggression |
| Anterior insula | OFC | ⬇ | ⬆ Physical aggression ⬆ Destructive aggression |
| Anterior insula | Ventral striatumAnterior cingulate cortex | ⬆ | ⬆ Physical aggression |
| Revenge feelings | |||
| Right OFC | Right cerebellum | ⬆ | ⬆ Revenge feelings |
| Right OFC | Right midoccipital cortex | ⬆ | ⬇ Revenge feelings |
| Laboratory task | |||
| Amygdala basolateral | Left superior temporal gyrus | ⬆ | ⬆ Aggressive strategies (laboratory task) |
| mOFC | ⬇ | ⬆ Aggressive strategies (laboratory task) | |
| Left mOFC | Left amygdala | ⬆ | Before emotional induction task (violent offenders) |
| Left amygdala | Left uncus/amygdala | ⬇ | Before emotional induction task (violent offenders) |
| Left mOFC | Left amygdala | ⬇ | After emotional induction task (violent offenders) |
| Left amygdala | Right posterior insula | ⬆ | After emotional induction task (violent offenders) |
| Violent populations (no-self reported) | |||
| Caudate nucleus (right) | Adjacent structures | ⬇ | Young violent offenders |
| Supramarginal gyrus (right) | Adjacent structures | ⬆ | Young violent offenders |
| Right cerebellar hemisphere | Left amygdala | ⬆ | Violent inmates |
| Bilateral cerebellar hemisphere | Bilateral OFC | ⬇ | Violent inmates |
| Cerebellar vermis | Left OFC | ⬇ | Violent inmates |
| Left dorsolateral PFC | Right dorsolateral PFC | ⬆ | Violent inmates |
| Amygdala basolateral (bilateral) | Left dorsolateral PFC | ⬇ | Impulsive and aggressive group |
| Left centromedial amygdala | Left fusiform gyrus | ⬆ | Impulsive and aggressive group |
| Left anterior cingulate cortex | Left cuneus | ⬆ | Impulsive and aggressive soldiers |
| Right anterior cingulated cortex | Left cuneus | ⬆ | Impulsive and aggressive soldiers |
Figure 2Proposed model of facilitating and inhibiting brain networks for reactive violence proneness.