J. Clin. Med. 2019,8, 91 17 of 20
103.
Klucken, T.; Wehrum-Osinsky, S.; Schweckendiek, J.; Kruse, O.; Stark, R. Altered Appetitive Conditioning
and Neural Connectivity in Subjects with Compulsive Sexual Behavior. J. Sex. Med.
2016
,13, 627–636.
[CrossRef]
104.
Sescousse, G.; Caldú, X.; Segura, B.; Dreher, J.-C. Processing of primary and secondary rewards: A
quantitative meta-analysis and review of human functional neuroimaging studies. Neurosci. Biobehav. Rev.
2013,37, 681–696. [CrossRef]
105.
Steele, V.R.; Staley, C.; Fong, T.; Prause, N. Sexual desire, not hypersexuality, is related to neurophysiological
responses elicited by sexual images. Socioaffect. Neurosci. Psychol. 2013,3, 20770. [CrossRef] [PubMed]
106.
Hilton, D.L. ‘High desire’, or ‘merely’ an addiction? A response to Steele et al. Socioaffect. Neurosci. Psychol.
2014,4. [CrossRef] [PubMed]
107.
Prause, N.; Steele, V.R.; Staley, C.; Sabatinelli, D.; Hajcak, G. Modulation of late positive potentials by sexual
images in problem users and controls inconsistent with “porn addiction”. Biol. Psychol.
2015
,109, 192–199.
[CrossRef] [PubMed]
108.
Laier, C.; Pekal, J.; Brand, M. Cybersex addiction in heterosexual female users of internet pornography can
be explained by gratification hypothesis. Cyberpsychol. Behav. Soc. Netw.
2014
,17, 505–511. [CrossRef]
[PubMed]
109.
Laier, C.; Pekal, J.; Brand, M. Sexual Excitability and Dysfunctional Coping Determine Cybersex Addiction
in Homosexual Males. Cyberpsychol. Behav. Soc. Netw. 2015,18, 575–580. [CrossRef] [PubMed]
110.
Stark, R.; Klucken, T. Neuroscientific Approaches to (Online) Pornography Addiction. In Internet Addiction;
Studies in Neuroscience, Psychology and Behavioral Economics; Springer: Cham, Switzerland, 2017;
pp. 109–124, ISBN 978-3-319-46275-2.
111. Albery, I.P.; Lowry, J.; Frings, D.; Johnson, H.L.; Hogan, C.; Moss, A.C. Exploring the Relationship between
Sexual Compulsivity and Attentional Bias to Sex-Related Words in a Cohort of Sexually Active Individuals.
Eur. Addict. Res. 2017,23, 1–6. [CrossRef] [PubMed]
112.
Kunaharan, S.; Halpin, S.; Sitharthan, T.; Bosshard, S.; Walla, P. Conscious and Non-Conscious Measures of
Emotion: Do They Vary with Frequency of Pornography Use? Appl. Sci. 2017,7, 493. [CrossRef]
113.
Kühn, S.; Gallinat, J. Brain Structure and Functional Connectivity Associated with Pornography
Consumption: The Brain on Porn. JAMA Psychiatry 2014,71, 827–834. [CrossRef]
114.
Banca, P.; Morris, L.S.; Mitchell, S.; Harrison, N.A.; Potenza, M.N.; Voon, V. Novelty, conditioning and
attentional bias to sexual rewards. J. Psychiatr. Res. 2016,72, 91–101. [CrossRef]
115.
Banca, P.; Harrison, N.A.; Voon, V. Compulsivity Across the Pathological Misuse of Drug and Non-Drug
Rewards. Front. Behav. Neurosci. 2016,10, 154. [CrossRef]
116.
Gola, M.; Wordecha, M.; Sescousse, G.; Lew-Starowicz, M.; Kossowski, B.; Wypych, M.; Makeig, S.;
Potenza, M.N.; Marchewka, A. Can Pornography be Addictive? An fMRI Study of Men Seeking Treatment
for Problematic Pornography Use. Neuropsychopharmacology 2017,42, 2021–2031. [CrossRef] [PubMed]
117.
Schmidt, C.; Morris, L.S.; Kvamme, T.L.; Hall, P.; Birchard, T.; Voon, V. Compulsive sexual behavior:
Prefrontal and limbic volume and interactions. Hum. Brain Mapp.
2017
,38, 1182–1190. [CrossRef] [PubMed]
118.
Brand, M.; Snagowski, J.; Laier, C.; Maderwald, S. Ventral striatum activity when watching preferred
pornographic pictures is correlated with symptoms of Internet pornography addiction. Neuroimage
2016
,
129, 224–232. [CrossRef] [PubMed]
119.
Balodis, I.M.; Potenza, M.N. Anticipatory reward processing in addicted populations: A focus on the
monetary incentive delay task. Biol. Psychiatry 2015,77, 434–444. [CrossRef] [PubMed]
120.
Seok, J.-W.; Sohn, J.-H. Gray matter deficits and altered resting-state connectivity in the superior temporal
gyrus among individuals with problematic hypersexual behavior. Brain Res.
2018
,1684, 30–39. [CrossRef]
[PubMed]
121.
Taki, Y.; Kinomura, S.; Sato, K.; Goto, R.; Inoue, K.; Okada, K.; Ono, S.; Kawashima, R.; Fukuda, H. Both global
gray matter volume and regional gray matter volume negatively correlate with lifetime alcohol intake in
non-alcohol-dependent Japanese men: A volumetric analysis and a voxel-based morphometry. Alcohol. Clin.
Exp. Res. 2006,30, 1045–1050. [CrossRef] [PubMed]
122.
Chatzittofis, A.; Arver, S.; Öberg, K.; Hallberg, J.; Nordström, P.; Jokinen, J. HPA axis dysregulation in men
with hypersexual disorder. Psychoneuroendocrinology 2016,63, 247–253. [CrossRef]