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Record W4402436756 · doi:10.1016/j.avb.2024.102003

Unraveling the morphological brain architecture of human aggression: A systematic review and meta-analysis of structural neuroimaging studies

2024· review· en· W4402436756 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAggression and Violent Behavior · 2024
Typereview
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsnot available
FundersEconomic and Social Research CouncilCanadian Institutes of Health Research
KeywordsNeuroimagingAggressionMeta-analysisSystematic reviewPoison controlPsychologyHuman factors and ergonomicsNeuroscienceMedicineMEDLINEDevelopmental psychologyPathologyBiologyMedical emergency

Abstract

fetched live from OpenAlex

Aggression is an umbrella term referring to behaviors intended to harm others. However, aggressive behaviors vary in terms of forms (i.e., physical, verbal) and functions (i.e., proactive, reactive). Recent findings suggest that both motives and forms may be associated with distinct brain structures. However, no studies have meta-analytically summarized their commonalities and differences. A systematic search strategy was conducted up to May 1st 2023 using PubMed, Google Scholar, and Web of Science. Seed-based d Mapping with Permutation of Subject Image was used to meta-analyze voxel-based morphometry studies. Exploratory analyses on meta-analytic findings were conducted to identify their associated mental functions and examine their degree of overlap with brain lesion associated with aggression. A total of 92 experiments were included in the meta-analysis (N=2593, mean age=26.2, 68.5% males). General aggression was characterized by reduced grey matter volume (GMV) in the medial prefrontal cortex. Reactive aggression was associated with reduced GMV in the rostral medial prefrontal cortex, and bilateral superior temporal gyrus, and proactive aggression with greater GMV in the ventral caudate. Co-activation brain networks of these morphological correlates further distinguished reactive and proactive into socio-affective/somatosensory and motivational processes, respectively. We also found that the medial prefrontal cortex cluster of general aggression was a primary site in which focal brain lesion may increase the risk for aggression. The current study highlight that functions of aggression are associated with distinct abnormalities in grey matter volume. These findings add to the growing body of literature suggesting potentially distinct aetiologies between aggression motives. • The morphological brain features associated with the diverse forms and functions of aggression are not well understood. • General Aggression is linked to reduced GMV in the medial prefrontal cortex. • Reactive and proactive aggression are linked to GMV deficits in socio-affective and motivational processes, respectively • Brain lesions resulting in aggression converge in the medial prefrontal cortex, underscoring its role as a crucial hub

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.759
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.209
GPT teacher head0.495
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it