Neurocinematics is an emerging discipline within neuroscience that studies cinematic art through the analysis of viewers’ brain activity. Similarly, Cognitive Film Theory focuses on the examination of the emotional and cognitive processes elicited during film viewing. This study examines the brain activity of young viewers using electroencephalography during the screening of a ‘cine quinqui’ (delinquency cinema) movie, filmed with non-professional actors in a low-income neighbourhood of a town in Alicante, Spain. For the experiment, the film’s director selected two scenes, one with positive and one with negative emotional content. The results indicated activation in the orbitofrontal and temporal regions of the brain, areas anatomically associated with emotional processing. Moreover, the negatively charged sequence elicited a stronger impact on viewers than the positively charged one. These findings may contribute to a deeper understanding of the influence of emotional valence on brain activity during cinematic experiences.
AfdileM. (2022). Beyond neurocinematics: Investigating biased social perception through collaboration between neuroscience and filmmaking. Leonardo, 55(3), 278–282. https://doi.org/10.1162/leon_a_02199
2.
AlbadalejoM. (Director). (2006). Volando voy [Film]. Sogecine, Bailando en la luna.
3.
ÁlvarezM. (2018). De la reivindicación a la ira: espacios de crisis en el cine español contemporáneo/From vindication to anger: Spaces of crisis in contemporary Spanish cinema. Iberoamericana, 69, 81–102.
4.
AndersonD. R., FiteK. V., PetrovichN., & HirschJ. (2006). Cortical activation while watching video montage: An FMRI study. Media Psychology, 8(1), 7–24.
5.
Andreu-SánchezC., & Martín-PascualM. (2021). Perception of cuts in different editing styles. El Profesional De La Informacion, 30(2), e300213.
6.
Andreu-SánchezC., Martín-PascualM. Á., GruartA., & Delgado-GarcíaJ. M. (2018). Chaotic and fast audiovisuals increase attentional scope but decrease conscious processing. Neuroscience, 394, 83–97. https://doi.org/10.1016/j.neuroscience.2018.10.025
7.
ArandaV. (Director). (1987). El Lute: Camina o revienta. M.G.C.
8.
ArjmandH., HohagenJ., PatonB., & RickardN. S. (2017). Emotional responses to music: Shifts in frontal brain asymmetry mark periods of musical change. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.02044
BabushkinV., ParkW., JamilM. H., AlsuradiH., & EidM. (2021). EEG-based classification of the intensity of emotional responses. 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 218–221. https://doi.org/10.1109/NER49283.2021.9441371
11.
BarrettL. F., MesquitaB., OchsnerK. N., & GrossJ. J. (2007). The experience of emotion. Annual Reviews in Psychology, 58, 373–403.
12.
BartelsA., & ZekiS. (2004). Functional brain mapping during free viewing of natural scenes. Human Brain Mapping, 21(2), 75–85. https://doi.org/10.1002/hbm.10153
13.
BenetV. J. (2012). El cine español. Una historia cultural. Paidós.
14.
BordwellD., StaigerJ., & ThompsonK. (1997). El cine clásico de Hollywood: Estilo cinematográfico y modo de producción hasta 1960. Paidós.
15.
BordwellD., & ThompsonK. (1995). El arte cinematográfico. Paidós.
16.
BrookshireG., & CasasantoD. (2018). Approach motivation in human cerebral cortex. Philosophical Transactions, 373(1752), 20170144.
17.
Burgos-RiscoA., & Martínez-RuizM. J. (2019). La memoria de las manos: La realización de un documental de historia de la educación. Arte, Individuo y Sociedad, 31(2), 345–359. https://doi.org/10.5209/aris.60107
CarbonellF., GalanL., ValdesP., WorsleyK., BiscayR. J., & Diaz-ComasL. (2004). Random field-union intersection tests for EEG/MEG imaging. NeuroImage, 22, 268–276. https://doi.org/10.1016/j.neuroimage.2004.01.020
20.
CarmonaR. (1991). Cómo se comenta un texto fílmico. Cátedra.
21.
CasettiF., & Di ChioF. (2007). Como analizar un film (1st ed.). Paidós.
22.
Cerdán-MartínezV., López-SeguraP., Lucia-MulasM. J., SanzP. R., & AlonsoT. O. (2024). Male and female brain activity during the screening of a violent movie: An EEG study. Journal of Creative Communications, 19(3), 259–275. https://doi.org/10.1177/09732586241227592
ChristoforouC., PapadopoulosT. C., ConstantinidouF., & TheodorouM. (2017). Your brain on the movies: A computational approach for predicting box-office performance from viewer’s brain responses to movie trailers. Frontiers in Neuroinformatics, 11. https://doi.org/10.3389/fninf.2017.00072
25.
CodesidoV., García GarcíaF., & García GuardiaM. L. (2022). Representation of Madrid and Barcelona in films during the Spanish transition: Visual review. International Visual Culture Review/Revista Internacional De Cultura Visual, 9(1), 123–135. https://doi.org/10.37467/gkarevvisual.v9.3192
26.
CollM.-P., WhelanE., CatmurC., & BirdG. (2020). Autistic traits are associated with atypical precision-weighted integration of top-down and bottom-up neural signals. Cognition, 199, 104236. https://doi.org/10.1016/j.cognition.2020.104236
27.
ComerC., DeVoreB., HarrisonP., & HarrisonD. (2017). Cerebral laterality, emotion, and cardiopulmonary functions: An investigation of left and right CVA patients. Acta Neuropsychologica, 15, 32–55. https://doi.org/10.5604/01.3001.0010.6093
28.
DaşdemirY., YildirimE., & YıldırımS. (2017). Analysis of functional brain connections for positive–negative emotions using phase locking value. Cognitive Neurodynamics, 11, 487–500. https://doi.org/10.1007/s11571-017-9447-z
29.
De La IglesiaE. (Director). (1980). Navajeros. Acuarius Films, Figaró Films, Producciones Fenix.
30.
De La IglesiaE. (Director). (1982). Colegas. Ópalo Films.
31.
De La IglesiaE. (Director). (1983). El pico. Ópalo Films.
32.
De La IglesiaE. (Director). (1987). La estanquera de Vallecas. Ega Medios Audiovisuales.
33.
De La LomaJ. A. (Director). (1977). Perros Callejeros. Films Zodíaco, Profilmes.
34.
De La LomaJ. A. (Director). (1985). Yo, el Vaquilla. Alfredo Matas, Golden Sun, Jet Films, InCine S.A.
35.
DmochowskiJ. P., BezdekM. A., AbelsonB. P., JohnsonJ. S., SchumacherE. H., & ParraL. C. (2014, July). Audience preferences are predicted by temporal reliability of neural processing. Nature Communications, 5, 1–9. https://doi.org/https://doi.org/10.1038/ncomms5567
36.
DynelM. (2024). Do we know whether to laugh or cry? User responses to@ Ukraine’s dark-humour meme. Journal of Creative Communications, 19(3), 243–258. https://doi.org/10.1177/09732586241239908
37.
ErteberC. (2022). Entre la M-30 y los escombros: La urbanización desurbanizada en Colegas (Eloy de la Iglesia, 1982). Journal of Spanish Cultural Studies, 23(4), 471–490. https://doi.org/10.1080/14636204.2022.2142018
38.
EvansA. C., CollinsD. L., MillsS. R., BrownE. D., KellyR. L., & PetersT. M. (1993). 3D statistical neuroanatomical models from 305 MRI volumes. 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference, 3, 1813–1817. https://bit.ly/2FbDzDw
39.
FieldS. (1995). El manual del guionista: Ejercicios e instrucciones para escribir un buen guión paso a paso. Plot.
40.
FredricksonB. L. (2004). The broaden–and–build theory of positive emotions. Philosophical Transactions of the Royal Society of London: Series B—Biological Sciences, 359(1449), 1367–1377.
41.
GainottiG. (2018). A historical review of investigations on laterality of emotions in the human brain. Journal of the History of the Neurosciences, 11, 217–233. https://doi.org/10.1080/0964704X.2018.1524683
42.
GainottiG. (2019). The role of the right hemisphere in emotional and behavioral disorders of patients with frontotemporal lobar degeneration: An updated review. Frontiers in Aging Neuroscience, 11, 55. https://doi.org/10.3389/fnagi.2019.00055
43.
GansingK. (2022). The cinema of extractions: Film as infrastructure for (artistic?) research. International Journal of Film and Media Arts, 7(1), 94–114.
44.
GeethanjaliB., AdalarasuK., HemaprabaA., KumarS. P., & RajasekeranR. (2017). Emotion analysis using SAM (Self-Assessment Manikin) scale. Biomedical Research-Tokyo, 28, 18–24.
45.
GrodźI. (2022). Moving pictures creating emotions: The filmmakers’ emotional strategies in pandemic. In DriessensO., BolinG., HeppA., & HjarvardS. (Eds.), Mediatisation of emotional life (pp. 171–182). Routledge.
46.
GrosvenorC. (2024). Secret origins: The disavowal of the comics medium within the promotional rhetoric of film trailers. Adaptation, 17(1), 52–75.
47.
GruberJ., HayA. C., & GrossJ. J. (2014). Rethinking emotion: Cognitive reappraisal is an effective positive and negative emotion regulation strategy in bipolar disorder. Emotion, 14(2), 388.
48.
GuaragnaG. (2020). The essential role of architecture in the relationship between cinema and novel: The classic example of Psycho by Alfred Hitchcock. Festival Dell’architettura Magazine, 54, 89–94.
HanekeM. (Director). (2012). Amour. X-Filme Creative Pool, Wega Film, France 3 cinéma, ARD degeto, Bayerischer Rundfunk, Westdeutscher Rundfunk, Canal+, France Télévisions.
51.
HassonU., FurmanO., ClarkD., DudaiY., & DavachiL. (2008b). Enhanced intersubject correlations during movie viewing correlate with successful episodic encoding. Neuron, 57(3), 452–462. https://doi.org/10.1016/j.neuron.2007.12.009
52.
HassonU., LandesmanO., KnappmeyerB., VallinesI., RubinN., & HeegerD. J. (2008). Neurocinematics: The neuroscience of film. Projections, 2(1), 1–26. Retrieved, March16, 2025, from https://doi.org/10.3167/proj.2008.020102
53.
ImbertG. (2015). Cine quinqui e imaginarios sociales. Área Abierta, 15(3), 57–67. https://doi.org/10.5209/rev_ARAB.2015.v15.n3.48937
54.
JanssonM., PapadopoulouF., StigsdotterI., & WallenbergL. (2021). The final cut™: Directors, producers, and the gender regime of the Swedish film industry. Gender, Work & Organization, 28(6), 2010–2025.
55.
JayswalM. M. (2017). Comparative study on negative political advertisements with specific focus on attack and rebuttal television campaigns from Indian perspective. Journal of Creative Communications, 12(2), 134–149. https://doi.org/10.1177/09732586241239908
56.
KangD., KimJ., JangD.-P., ChoY. S., & KimS.-P. (2015). Investigation of engagement of viewers in movie trailers using electroencephalography. Brain Computer Interfaces, 2(4), 193–201.
57.
KapardiB. S. (2022, December). A study of deep learning algorithm for brain computer interface cinematics. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 1143–1147). IEEE.
58.
KauttonenJ., HlushchukY., JääskeläinenI. P., & TikkaP. (2018). Brain mechanisms underlying cue-based memorizing during free viewing of movie Memento. NeuroImage, 172, 313–325.
59.
KhanP., RanjanP., & KumarS. (2021). AT2GRU: A human emotion recognition model with mitigated device heterogeneity. IEEE Transactions on Affective Computing, 13, 1120–1131.
60.
KortelainenJ., VäyrynenE., & SeppänenT. (2015). High-frequency electroencephalographic activity in left temporal area is associated with pleasant emotion induced by video clips. Computational Intelligence and Neuroscience, 2015, 762769.
61.
Lage-CastellanosA., Martínez-MontesE., Hernández-CabreraJ. A., & GalánL. (2010). False discovery rate and permutation test: An evaluation in ERP data analysis. Statistics in Medicine, 29, 63–74.
62.
LangP. J. (1985). The cognitive psychophysiology of emotion: Anxiety and the anxiety disorders. Lawrence Erlbaum.
63.
LinhartováP., LátalováA., KóšaB., KašpárekT., SchmahlC., & ParetC. (2019). fMRI neurofeedback in emotion regulation: A literature review. NeuroImage, 193, 75–92. https://doi.org/10.1016/j.neuroimage.2019.03.011
64.
López-SangüesaJ. L. (2017). Política y cine policíaco de la Transición española. Tripodos. Blanquerna School of Communication and International Relations, 41, 87–100.
65.
LucíaM. J., RevueltaP., GarciaA., RuizB., VergazR., CerdanV., & OrtizT. (2020). Vibrotactile captioning of musical effects in audio-visual media as an alternative for deaf and hard of hearing people: An EEG study. IEEE Access: Practical Innovations, Open Solutions, 8, 190873–190881.
66.
MagdinM., BaloghZ., ReichelJ., FrancistiJ., KoprdaŠ., & MolnárG. (2021). Automatic detection and classification of emotional states in virtual reality and standard, environments (LCD): Comparing valence and arousal of induced emotions. Virtual Reality, 25, 1029–1041. https://doi.org/10.1007/s10055-021-00506-5
67.
MaiorH. A., RamchurnR., MartindaleS., CaiM., WilsonM. L., & BenfordS. (2019). fNIRS and neurocinematics. InExtended abstracts of the 2019 CHI Conference on Human Factors in Computing Systems—CHI EA ’19 (pp. 1–6). Association for Computing Machinery.
68.
McKeeR. (2009). El guión: Sustancia, estructura, estilo y principios de la escritura de guiones. Alba Ediciones.
69.
MelettiS., TassiL., MaiR., FiniN., TassinariC. A., & RussoG. L. (2006). Emotions induced by intracerebral electrical stimulation of the temporal lobe. Epilepsia, 47(Suppl 5), 47–51. https://doi.org/10.1111/j.1528-1167.2006.00877.x
70.
MillerJ. G., XiaG., & HastingsP. D. (2019). Resting heart rate variability is negatively associated with mirror neuron and limbic response to emotional faces. Biological Psychology, 144, 1–33.
71.
MonzónD. (Director). (2021). Las leyes de la frontera. Atresmedia Cine, Ikiru Films, La Terraza Films.
72.
MonteroD. (2022, June10). Perderlo Todo, el relato hiperrealista de los herederos del cine quinqui. Nius Diario.
73.
NalwayaA., SinghV. K., & PachoriR. B. (2023, December). Emotion identification based on EEG rhythms separated using improved eigenvalue decomposition of Hankel matrix. In 2023 9th International Conference on Signal Processing and Communication (ICSC) (pp. 562–567). IEEE.
74.
NolanC. (Director). (2000). Memento. Summit Entertainment, Newmarket Films, Team Todd.
75.
OlaizÁ. E. (2016). Cine Quinqui, injusticia y ciudad. SEMIOSFERA, convergencias y divergencias culturales. Segunda Época, 120–134. https://e-revistas.uc3m.es/index.php/SEM/article/view/3190
76.
Ortiz-AlonsoT., SantosJ. M., Ortiz TeránL., Borrego HernándezM., Poch BrotoJ., & De ErausquinG. A. (2015). Differences in early stages of tactile ERP temporal sequence (P100) in cortical organization during passive tactile stimulation in children with blindness and controls. PloS One, 10(7), e0124527.
77.
PanF., ZhangL., OuY., & ZhangX. (2019). The audio-visual integration effect on music emotion: Behavioral and physiological evidence. PLoS One, 14(5), 1–21.
78.
PankseppJ. (2010). Affective consciousness in animals: Perspectives on dimensional and primary process emotion approaches. Proceedings of Biological Sciences, 277, 2905–2907.
79.
Pascual-MarquiR. D., MichelC. M., & LehmanD. (1994). Low resolution electromagnetic tomography: A new method for localizing electrical activity of the brain. International Journal of Psychophysiology, 18, 49–65.
80.
Pérez-GómezM. A. (2020). The quinqui as a hero: Criminal adolescence during the transition. In LabanyiJ. & PavlovićM. (Eds.), Men on the screen: Re-visions of masculinity in Spanish cinema (1939–2019) (pp. 107–116). Peter Lang.
81.
Pérez-RodríguezP. (2020). Historia conceptual del quinqui: Pluriempleo, policía, prensa y mito—Kamchatka. Revista de Análisis Cultural, 16, 55–91.
82.
PralusA., BelfiA., HirelC., LévêqueY., FornoniL., BigandE., JungJ., TranelD., NighoghossianN., TillmannB., & CaclinA. (2020). Recognition of musical emotions and their perceived intensity after unilateral brain damage. Cortex: A Journal Devoted to the Study of the Nervous System and Behavior, 130, 78–93.
83.
RazG., & HendlerT. (2014). Forking cinematic paths to the self neurocinematically informed model of empathy in motion pictures. Projections, 8(2), 41–62.
84.
ReischL. M., WegrzynM., WoermannF., BienC., & KisslerJ. (2020). Negative content enhances stimulus‐specific cerebral activity during free viewing of pictures, faces, and words. Human Brain Mapping, 41(15), 4332–4354. https://doi.org/10.1002/hbm.25128
85.
RejerI., JankowskiJ., DregerJ., & LorenzK. (2024). Viewer engagement in response to mixed and uniform emotional content in marketing videos: An electroencephalographic study. Sensors, 24(2), 517.
86.
RasulA. (2015). Violently entertained: A meta-analysis of the effects of mediated violence on enjoyment. Journal of Creative Communications, 10(1), 1–20. https://doi.org/10.1177/0973258615569947
87.
RevueltaP., OrtizT., LucíaM. J., RuizB., & Sánchez-PenaJ. M. (2020). Limitations of standard accessible captioning of sounds and music for deaf and hard of hearing people: An EEG study. Frontiers in Integrative Neuroscience, 14, 1. https://doi.org/10.3389/fnint.2020.00001
88.
Rizoma. (2023). Palmarés: Premio del Público Cineteca de Madrid. Rizoma Film Festival 2021. https://www.rizomafestival.com/palmares/
89.
RodríguezA. (Director). (2005). 7 vírgenes. Tesela P.C, La Zanfoña.
90.
Rodríguez-MuñozF. (2011). Contribuciones de la neurociencia al entendimiento de la creatividad humana. Arte, Individuo y Sociedad, 23(2), 45–54.
91.
RollsE. (2017). The orbitofrontal cortex and emotion in health and disease, including depression. Neuropsychologia, 128, 14–43. https://doi.org/10.1016/j.neuropsychologia.2017.09.021
92.
RollsE., & GrabenhorstF. (2008). The orbitofrontal cortex and beyond: From affect to decision-making. Progress in Neurobiology, 86(3), 216–244. https://doi.org/10.1016/j.pneurobio.2008.09.001
93.
SaccoD. (2023). Film regulation in a cultural context. Edinburgh University Press.
94.
SadouniM. A., GandomkarZ., & ArbabiE. (2014). EEG-based sympathy recognition. International Journal of Medical Engineering and Informatics, 6(1), 14. https://doi.org/10.1504/ijmei.2014.058529
SarrisA. (2008). Notes on the auteur theory in 1962. In GrantB. K. (Ed.), Auteurs and authorship: A film reader (pp. 35–45). Wiley-Blackwell.
97.
SauraC. (Director). (1981). Deprisa, deprisa. Elías Querejeta, Les Films Molière.
98.
SegarraJ. C. (2018). Cine quinqui: La pobreza como espectáculo de masas. Filmhistoria Online, 28(1–2), 113–128.
99.
SinnerbrinkR. (Ed.). (2021). Emotions, ethics, and cinematic experience: New phenomenological and cognitivist perspectives. Berghahn Books.
100.
SorinasJ., GrimaM. D., FerrándezJ. M., & FernándezE. (2019). Identifying suitable brain regions and trial size segmentation for positive/negative emotion recognition. International Journal of Neural Systems, 29(2), 1850044. https://doi.org/10.1142/S0129065718500442
101.
StamR. (2001). Teorías del cine: Una introduccion (1st ed.). Paidós.
102.
TaberhamP. (2023). Realism, time, and ambiguity: Narration in art-cinema. In GraceM. P. & BattyL. (Eds.), Introduction to screen narrative (pp. 95–117). Routledge.
103.
TinnermannA., van den NaumerM. J., BoschJ., KaiserJ., & HeinG. (2013). Emotional valence modulates object‐related audiovisual processing in the human brain. Multisensory Research, 26(3), 218. https://doi.org/10.1163/22134808-000S0165
104.
VillaresR., & BahamondeÁ. (2012). El mundo contemporáneo: Del siglo XIX al XXI. Taurus.
105.
WhittakerT. (2020). The Spanish quinqui film: Delinquency, sound, sensation. Manchester University Press.
106.
WöllnerC., HammerschmidtD., & AlbrechtH. (2018). Slow motion in films and video clips: Music influences perceived duration and emotion, autonomic physiological activation and pupillary responses. PLoS One, 13(6), 1–16. https://doi.org/10.1371/journal.pone.0199161
107.
WyczesanyM., CapotostoP., ZappasodiF., & PreteG. (2018). Hemispheric asymmetries and emotions: Evidence from effective connectivity. Neuropsychologia, 121, 175–185.
108.
YanC., DillardJ. P., & ShenF. (2010). The effects of mood, message framing, and behavioral advocacy on persuasion. Journal of Communication, 60(2), 344–363.
109.
ZhaoG., ZhangY., & GeY. (2018). Frontal EEG asymmetry and middle line power difference in discrete emotions. Frontiers in Behavioral Neuroscience, 12, 225–235.
110.
ZhuY., & DeyA. (2022). Comparing physiological and emotional effects of happy and sad virtual environments experienced in video and virtual reality. 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 848–849. https://doi.org/10.1109/VRW55335.2022.00275
