Extensive abnormality of brain white matter integrity in pathological gambling

Joutsa, Juho; Saunavaara, Jani; Parkkola, Riitta; Niemelä, Solja; Kaasinen, Valtteri

doi:10.1016/j.pscychresns.2011.08.001

Cited by 115 publications

(77 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The present investigation both replicates and extends previous studies (Yip et al 2013;Koehler et al 2013;Joutsa et al 2011) on brain morphology and pathological gambling, as previous studies have only used a direct comparison between PG and HC groups and have not taken a measure of impulsivity (in our case the discount rate k) into account.…”

Section: Introductionsupporting

confidence: 89%

“…We expected to replicate the results of Joutsa et al (2011);Yip et al (2013) and Koehler et al (2013) in the group comparison PG vs. HC in study 2, i.e., we expected to see lower fractional anisotropy in the PG in the corpus callosum, the cingulum, the superior longitudinal fascicle, the inferior fronto-occipital fascicle, the anterior limb of internal capsule, the anterior thalamic radiation, the inferior longitudinal fascicle and the uncinate/inferior fronto-occipital fascicle. The main focus of the current study was on the correlation between discount rate k and gray matter density on the one hand and white matter integrity, however, as these correlations should pinpoint brain regions responsible for differences in intertemporal choice and therefore impulsivity more clearly than a group comparison.…”

Section: Introductionmentioning

confidence: 76%

“…This expectation is also based on functional imaging studies that have shown increased activation of the striatum when participants choose immediate rewards over delayed rewards (e.g., McClure et al 2004) on the one hand and greater activation of the prefrontal cortex in decisions for delayed rewards on the other hand (e.g., Peters and Büchel 2011). We further expected that at least some of the white matter tracts that differed between PG and HC by Joutsa et al (2011) to show a relationship to the individual discount rate.…”

Section: Introductionmentioning

confidence: 93%

See 2 more Smart Citations

Intertemporal choice behavior is constrained by brain structure in healthy participants and pathological gamblers

et al. 2015

View full text Add to dashboard Cite

The steepness of the delay discounting function shows considerable interindividual differences. Moreover, faster devaluation of future rewards has been consistently observed in pathological gamblers (PGs). Here, we asked whether variability in delay discounting is at least partially driven by differences in the anatomy of gray and white matter. For 40 healthy young subjects (study 1) as well as 15 PG and 15 age-matched healthy controls (HCs, study 2), the individual discounting parameter k was obtained. Based on 3D T1-weighted high-resolution magnetic resonance scans and diffusion tensor imaging, we performed voxel-based morphometry and tract-based spatial statistics, respectively, to examine the relation of gray matter volume (GMV) and white matter properties (as indicated by fractional anisotropy, FA) to k. Healthy groups from both studies showed a negative correlation between k and FA for the superior longitudinal fascicle and inferior longitudinal fascicle, whereas a positive correlation was found in the PG group for the inferior longitudinal fascicle and left inferior fronto-occipital fascicle. The latter also was significantly different between HC and PG in the group statistics (albeit on the right side), thus suggesting that this is a significant structure for the development of pathological gambling. GMV of the right frontal orbital cortex, left insular cortex and right lateral occipital cortex showed a positive correlation to k HC (studies 1 and 2) and PG, whereas a negative correlation was found for the left frontal pole in all three groups. Group comparison of GMV (study 2) revealed a decrease in PG for several cortical and subcortical areas.

show abstract

Section: Introductionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 93%

See 1 more Smart Citation

Intertemporal choice behavior is constrained by brain structure in healthy participants and pathological gamblers

et al. 2015

View full text Add to dashboard Cite

show abstract

“…Similar reductions have been observed in patients with psychopathy, which were interpreted in terms of a possible decrease in connectivity in the amygdala-orbitofrontal limbic network through the uncinate fasciculus (44). Another study has also showed reductions of FA in this region associated with reward and punishment susceptibility (45), two aspects that are altered in patients with BPD (46), while Joutsa et al (47) reduced white matter integrity in both fasciculi was observed in pathological gamblers. The uncinate fasciculus is a ventral associative pathway that connects the anterior temporal lobe with the Converging Anomalies in Borderline Personality Disorder medial and lateral orbitofrontal cortex (48,49) being implicated in emotion and memory processing (50,51).…”

Section: Discussionmentioning

confidence: 53%

Converging Medial Frontal Resting State and Diffusion-Based Abnormalities in Borderline Personality Disorder

Salvador

Vega

Pascual

et al. 2016

Biological Psychiatry

View full text Add to dashboard Cite

BACKGROUND: The psychological profile of patients with borderline personality disorder (BPD), with impulsivity and emotional dysregulation as core symptoms, has guided the search for abnormalities in specific brain areas such as the hippocampal-amygdala complex and the frontomedial cortex. However, whole-brain imaging studies so far have delivered highly heterogeneous results involving different brain locations. METHODS: Functional resting-state and diffusion magnetic resonance imaging data were acquired in patients with BPD and in an equal number of matched control subjects (n 5 60 for resting and n 5 43 for diffusion). While mean diffusivity and fractional anisotropy brain images were generated from diffusion data, amplitude of low-frequency fluctuations and global brain connectivity images were used for the first time to evaluate BPD-related brain abnormalities from resting functional acquisitions. RESULTS: Whole-brain analyses using a p 5 .05 corrected threshold showed a convergence of alterations in BPD patients in genual and perigenual structures, with frontal white matter fractional anisotropy abnormalities partially encircling areas of increased mean diffusivity and global brain connectivity. Additionally, a cluster of enlarged amplitude of low-frequency fluctuations (high resting activity) was found involving part of the left hippocampus and amygdala. In turn, this cluster showed increased resting functional connectivity with the anterior cingulate. CONCLUSIONS: With a multimodal approach and without using a priori selected regions, we prove that structural and functional abnormality in BPD involves both temporolimbic and frontomedial structures as well as their connectivity. These structures have been previously related to behavioral and clinical symptoms in patients with BPD.

show abstract

“…(Balodis et al 2012;Reuter et al 2005;de Ruiter et al 2009 (Koehler et al 2013b;Tschernegg et al 2013;van Holst et al 2012b). Hinsichtlich möglicher hirnstruktureller Veränderungen des Gehirns bei pathologischem Glücksspiel sind die Befunde bisher wenig konsistent: Während einige Autoren keine lokalen Volumenunterschiede berichteten (Joutsa et al 2011;van Holst et al 2012a), fanden sich in anderen Studien gegenüber Gesunden erhöhte Volumina grauer Substanz im Präfrontalkortex sowie im ventralen Striatum (Koehler et al 2013a) sowie eine verringerte Integrität weißer Substanz in weiten Teilen des Gehirns pathologischer Glücksspieler (Joutsa et al 2011;Yip et al 2013). Umfassende Längsschnittstudien fehlen bisher, um eine Aussage darüber treffen zu können, ob hirnstrukturelle Auffälligkeiten mögliche Risikofaktoren für die Entstehung der Erkrankung darstellen oder sich erst im Verlauf der Erkrankung entwickeln (Kühn et al 2011 (Brunelle et al 2012;Wanner et al 2009;Barnes et al 2005;Magoon 2005;Hasking et al 2010;Barnes et al 1999;Leppert et al 2008;Ladouceur et al 1999;Winters et al 1993).…”

Section: Neurobiologische Grundlagenunclassified