Acevedo B, Aron E, Pospos S, Jessen D. The functional highly sensitive brain: a review of the brain circuits underlying sensory processing sensitivity and seemingly related disorders. Philos Trans R Soc B Biol Sci. 2018;373:20170161.

Article  Google Scholar 

Greven CU, Lionetti F, Booth C, Aron EN, Fox E, Schendan HE, et al. Sensory processing sensitivity in the context of environmental sensitivity: a critical review and development of research agenda. Neurosci Biobehav Rev. 2019;98:287–305.

Article  Google Scholar 

Lionetti F, Aron A, Aron EN, Burns GL, Jagiellowicz J, Pluess M. Dandelions, tulips and orchids: evidence for the existence of low-sensitive, medium-sensitive and high-sensitive individuals. Transl Psychiatry. 2018;8.

Aron EN, Aron A. Sensory-processing sensitivity and its relation to introversion and emotionality. J Pers Soc Psychol. 1997;73:345.

Article  Google Scholar 

Pluess M. Individual differences in environmental sensitivity. Child Dev Perspect. 2015;9:138–43.

Article  Google Scholar 

Lionetti F, Pastore M, Moscardino U, Nocentini A, Pluess K, Pluess M. Sensory processing sensitivity and its association with personality traits and affect: a meta-analysis. J Res Pers. 2019;81:138–52.

Article  Google Scholar 

Acevedo BP, Jagiellowicz J, Aron E, Marhenke R, Aron A. Sensory processing sensitivity and childhood quality’s effects on neural responses to emotional stimuli. Clin Neuropsychiatry. 2017.

Hoffmann A, Marhenke R, Sachse P. Sensory processing sensitivity predicts performance in an emotional antisaccade paradigm. Acta Physiol (Oxf). 2022;222:103463.

Google Scholar 

Acevedo BP, Santander T, Marhenke R, Aron A, Aron E. Sensory processing sensitivity predicts individual differences in resting-state functional connectivity associated with depth of processing. Neuropsychobiology [Internet]. 2021 [cited 2023 Mar 6];80:185–200. Available from: https://www.karger.com/Article/FullText/513527.

Acevedo BP, Aron EN, Aron A, Cooper T, Marhenke R. Sensory processing sensitivity and its relation to sensation seeking. Curr Res Behav Sci [Internet]. 2023 [cited 2023 Feb 28];4:100100. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2666518223000050.

Jagiellowicz J, Xu X, Aron A, Aron E, Cao G, Feng T, et al. The trait of sensory processing sensitivity and neural responses to changes in visual scenes. Soc Cogn Affect Neurosci. 2011;6:38–47.

Article  Google Scholar 

Kurdi B, Lozano S, Banaji MR. Introducing the open affective standardized image set (OASIS). Behav Res Methods. 2017;49:457–70.

Article  Google Scholar 

Neocleous C, Schizas C. Artificial neural network learning: a comparative review BT - Methods and applications of artificial intelligence. In: Vlahavas IP, Spyropoulos CD, editors. Berlin. Heidelberg: Springer, Berlin Heidelberg; 2002. p. 300–13.

Google Scholar 

Schulz H, Behnke S. Deep learning. Künstl Intell. 2012;26:357–63.

Article  Google Scholar 

Alshurafa NI, Harmon JT. Artificial spider: eight-legged arachnid and autonomous learning of locomotion. Unmanned Systems Technology VIII. 2006. p. 481–90.

Farajzadeh N, Sadeghzadeh N, Hashemzadeh M. A fully-convolutional residual encoder-decoder neural network to localize breast cancer on histopathology images. Comput Biol Med. 2022;147:105698.

Article  Google Scholar 

Ershova RV, Yarmotz EV, Koryagina TM, Semeniak IV, Shlyakhta DA, Tarnow E. A psychometric evaluation of the highly sensitive person scale: the components of sensory-processing sensitivity. Electron J Gen Med [Internet]. 2018 [cited 2023 Feb 28];15. Available from: http://www.ejgm.co.uk/article/a-psychometric-evaluation-of-the-highly-sensitive-person-scale-the-components-of-sensory-processing-7499.

Dunn AM, Heggestad ED, Shanock LR, Theilgard N. Intra-individual response variability as an indicator of insufficient effort responding: comparison to other indicators and relationships with individual differences. J Bus Psychol. 2018;33:105–21.

Article  Google Scholar 

Bengio Y, Courville A, Vincent P. Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell. 2013;35:1798–828.

Article  Google Scholar 

Salama K. Image classification with vision transformer [Internet]. 2021. Available from: https://keras.io/examples/vision/image_classification_with_vision_transformer/. Accessed in May 2022.

Khan SH, Naseer M, Hayat M, Zamir SW, Khan FS, Shah M. Transformers in vision: Survey. CoRR. 2021;abs/2101.0.

d’Ascoli S, Touvron H, Leavitt ML, Morcos AS, Biroli G, Sagun L. ConViT: Improving vision transformers with soft convolutional inductive biases. CoRR. 2021;abs/2103.1.

Weiss K, Khoshgoftaar TM, Wang D. A survey of transfer learning. J Big Data. 2016;3:9.

Article  Google Scholar 

Chawla NV, Bowyer KW, Hall LO, Kegelmeyer WP. SMOTE: synthetic minority over-sampling technique. J Artif Intell Res. 2002;16:321–57.

Article  MATH  Google Scholar 

Farajzadeh N, Sadeghzadeh N, Hashemzadeh M. IJES-OA Net: a residual neural network to classify knee osteoarthritis from radiographic images based on the edges of the intra-joint spaces. Med Eng Phys [Internet]. 2023 [cited 2023 Feb 22];113:103957. Available from: https://linkinghub.elsevier.com/retrieve/pii/S1350453323000097.

Zimmerman DW. A note on preliminary tests of equality of variances. Br J Math Stat Psychol. 2004;57:173–81.

Article  MathSciNet  Google Scholar 

Acevedo BP, Aron A, Fisher HE, Brown LL. Neural correlates of long-term intense romantic love. Soc Cogn Affect Neurosci [Internet]. 2012 [cited 2023 Feb 28];7:145–59. Available from: https://academic.oup.com/scan/article-lookup/doi/10.1093/scan/nsq092.

Bröhl AS, Van Leeuwen K, Pluess M, De Fruyt F, Bastin M, Weyn S, et al. Correction to: First look at the five-factor model personality facet associations with sensory processing sensitivity. Curr Psychol [Internet]. 2021 [cited 2023 Feb 28]; Available from: https://link.springer.com/10.1007/s12144-021-02130-7.

Smolewska KA, McCabe SB, Woody EZ. A psychometric evaluation of the Highly Sensitive Person Scale: the components of sensory-processing sensitivity and their relation to the BIS/BAS and “Big Five.” Personal Individ Differ [Internet]. 2006;40:1269–79. Available from: https://www.sciencedirect.com/science/article/pii/S0191886905003909.

Neal JA, Edelmann RJ, Glachan M. Behavioural inhibition and symptoms of anxiety and depression: is there a specific relationship with social phobia? Br J Clin Psychol [Internet]. 2002 [cited 2022 Aug 21];41:361–74. Available from: https://doi.wiley.com/10.1348/014466502760387489.

Meredith PJ, Bailey KJ, Strong J, Rappel G. Adult attachment, sensory processing, and distress in healthy adults. Am J Occup Ther [Internet]. 2016 [cited 2022 Aug 21];70:7001250010p1–8. Available from: https://research.aota.org/ajot/article/70/1/7001250010p1/6120/Adult-Attachment-Sensory-Processing-and-Distress.

Jonsson K, Grim K, Kjellgren A. Do highly sensitive persons experience more nonordinary states of consciousness during sensory isolation? Soc Behav Pers [Internet]. 2014 [cited 2022 Aug 21];42:1495–506. Available from: https://www.ingentaconnect.com/content/10.2224/sbp.2014.42.9.1495.

Boterberg S, Warreyn P. Making sense of it all: the impact of sensory processing sensitivity on daily functioning of children. Personality Individ Differ. 2016;92:80–6.

Article  Google Scholar 

Dickey L, Pegg S, Kujawa A. Neurophysiological responses to interpersonal emotional images: associations with symptoms of depression and social anxiety. Cogn Affect Behav Neurosci. 2021;21:1306–18.

Article  Google Scholar 

Twivy E, Grol M, Fox E. Individual differences in affective flexibility predict future anxiety and worry. Cogn Emot. 2021;35:425–34.

Article  Google Scholar 

Fidas C, Belk M, Constantinides C, Constantinides A, Pitsillides A, et al. A field dependence-independence perspective on eye gaze behavior within affective activities. In: Ardito C, Lanzilotti R, Malizia A, Petrie H, Piccinno A, Desolda G, et al., editors. Human-computer interaction – INTERACT 2021. Cham: Springer International Publishing; 2021. p. 63–72.

Chapter  Google Scholar 

Asutay E, Västfjäll, D. The goal-relevance of affective stimuli is dynamically represented in affective experience | EndNote Click [Internet]. [cited 2022 Aug 14]. Available from: https://click.endnote.com/viewer?doi=10.1098%2Frsos.211548&token=WzMxNDU2MDQsIjEwLjEwOTgvcnNvcy4yMTE1NDgiXQ.1C5uk5m1sfYlz0G-pXmq5BY8i0o.

Hutmacher F. Why is there so much more research on vision than on any other sensory modality? Front Psychol. 2019;10:2246.

Article  Google Scholar 

Meso AI, Montagnini A, Bell J, Masson GS. Looking for symmetry: fixational eye movements are biased by image mirror symmetry. J Neurophysiol [Internet]. 2016;116:1250–60. Available from: https://doi.org/10.1152/jn.01152.2015.

Rad MS, Martingano AJ, Ginges J. Toward a psychology of Homo sapiens: making psychological science more representative of the human population. Proc Natl Acad Sci. 2018;115:11401–5.

Article  Google Scholar 

Farajzadeh N, Sadeghzadeh N. NSSI questionnaires revisited: a data mining approach to shorten the NSSI questionnaires. Ijaz MF, editor. PLoS ONE [Internet]. 2023 [cited 2023 Apr 22];18:e0284588. Available from: https://dx.plos.org/10.1371/journal.pone.0284588.