Manual morphometry of hippocampus and amygdala in adults with attention-deficit hyperactivity disorder

Nickel, Kathrin; Elst, Ludger Tebartz van; Perlov, Evgeniy; Jitten-Schachenmeier, Renate; Beier, Daniel; Endres, Dominique; Goll, Peter; Philipsen, Alexandra; Maier, Simon

doi:10.1016/j.pscychresns.2017.07.001

Cited by 10 publications

(12 citation statements)

References 22 publications

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“…From the perspective of cognitive function, the limbic system involves a set of regions in the paleocortex, which supports a variety of functions related to emotion regulation and motivation meditation and has been known to be associated with ADHD ( Guo et al., 2020 ; Ha et al., 2020 ; Hoogman et al., 2017 ; Jadidian et al., 2015 ). The normal development of limbic circuitry underlies the reduction in impulsive choices from early adolescence to mid-adulthood ( Christakou et al., 2011 ), and the immature limbic system confidently predicts hyperactivity ( Baribeau et al., 2019 ; Hart et al., 2014 ; Nickel et al., 2017 ; Van Dessel et al., 2020 ). Sanefuji et al.…”

Section: Discussionmentioning

confidence: 99%

“…In a worldwide meta-analysis on brain anatomies across the lifespan (4–63 years) ( Hoogman et al., 2017 ), ADHD patients were found to have smaller volumes in several regions than healthy controls (HCs), such as the accumbens, amygdala and hippocampus ( Hoogman et al., 2017 ). These anatomical alterations were only apparent in children and disappeared in adults, which suggests a maturation delay during childhood ( Al-Amin et al., 2018 ; Ambrosino et al., 2017 ; Hoogman et al., 2017 ; Nickel et al., 2017 ; Shaw et al., 2007 , 2013 ; Van Dessel et al., 2020 ). However, Samea et al.…”

Section: Introductionmentioning

confidence: 95%

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Lifespan associations of resting-state brain functional networks with ADHD symptoms

Wang

Fan

et al. 2022

iScience

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

Lifespan associations of resting-state brain functional networks with ADHD symptoms

Wang

Fan

et al. 2022

iScience

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“…Additionally, there may be sex‐based differences in both amygdala volume and its phenotypic correlates in ASD (Schumann et al, ). Further, evidence suggests that amygdala volume abnormalities may be associated with other neurodevelopmental and neuropsychiatric disorders, such as ADHD (Hoogman et al, ; Nickel et al, ) schizophrenia (van Erp et al, ; Rich et al, ), and fragile X syndrome (Hazlett et al, ). Amygdala volume in ASD has been related to the severity of social and communication deficits (Kim et al, ; Schumann et al, ), the ability to establish appropriate eye contact (Barnea‐Goraly et al, ), joint attention (Mosconi et al, ), and the severity of restricted and repetitive behaviours (Dziobek et al, ).…”

Section: Introductionmentioning

confidence: 99%

Structural connectivity of the amygdala in young adults with autism spectrum disorder

Gibbard

Ren

Skuse

et al. 2017

Human Brain Mapping

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Autism spectrum disorder (ASD) is characterized by impairments in social cognition, a function associated with the amygdala. Subdivisions of the amygdala have been identified which show specificity of structure, connectivity, and function. Little is known about amygdala connectivity in ASD. The aim of this study was to investigate the microstructural properties of amygdala—cortical connections and their association with ASD behaviours, and whether connectivity of specific amygdala subregions is associated with particular ASD traits. The brains of 51 high‐functioning young adults (25 with ASD; 26 controls) were scanned using MRI. Amygdala volume was measured, and amygdala—cortical connectivity estimated using probabilistic tractography. An iterative ‘winner takes all’ algorithm was used to parcellate the amygdala based on its primary cortical connections. Measures of amygdala connectivity were correlated with clinical scores. In comparison with controls, amygdala volume was greater in ASD (F(1,94) = 4.19; p = .04). In white matter (WM) tracts connecting the right amygdala to the right cortex, ASD subjects showed increased mean diffusivity (t = 2.35; p = .05), which correlated with the severity of emotion recognition deficits (rho = −0.53; p = .01). Following amygdala parcellation, in ASD subjects reduced fractional anisotropy in WM connecting the left amygdala to the temporal cortex was associated with with greater attention switching impairment (rho = −0.61; p = .02). This study demonstrates that both amygdala volume and the microstructure of connections between the amygdala and the cortex are altered in ASD. Findings indicate that the microstructure of right amygdala WM tracts are associated with overall ASD severity, but that investigation of amygdala subregions can identify more specific associations.

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“…The presence of structural changes in the amygdala of ADHD subjects has been confirmed by an increasing number of findings [9]. Intriguingly, these alterations share a strong bond with the individual behavioral phenotype: it has been demonstrated how volumetric reductions in amygdala have been connected to higher hyperactivity [10] and impulsivity [11] scores. If on one hand the involvement of deep subcortical structures in ADHD is strongly supported by the morphological evidences, on the other the studies trying to describe their role from a functional perspective often showed mixed results.…”

Section: The Role Of Subcortical Structures In Adhd Pathogenesismentioning

confidence: 85%

Beneath the surface: hyper-connectivity between caudate and salience regions in ADHD fMRI at rest

Damiani

Tarchi

Scalabrini

et al. 2020

Eur Child Adolesc Psychiatry

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Attention Deficit/Hyperactivity Disorder (ADHD) comprises disturbances in attention, emotional regulation, and reward related processes. In spite of the active efforts in researching neurofunctional correlates of these symptoms, how the activity of subcortical regions -such as basal ganglia -is related to ADHD has yet to be clarified. More specifically, how age may influence the critical changes observed in functional dynamics from childhood to adulthood remains relatively unexplored.We hence selected five core subcortical regions (amygdala, caudate, putamen, pallidum and hippocampus) as regions of interest from the previous literature, measuring their whole-brain voxelwise rsFC in a sample of 95 ADHD and 90 neurotypical children and adolescents aged from 7 to 18.The only subcortical structure showing significant differences in rsFC was the caudate nucleus.Specifically, we measured increased rsFC with anterior cingulate and right insula, two mesolimbic regions pertaining to the Salience Network. The degree of hyper-rsFC positively correlated with ADHD symptomatology, and showed different patterns of evolution in ADHD vs neurotypical subjects. Finally, the rsFC scores allowed a fair discrimination of the ADHD group (Area Under the Curve ≥ 0.7). These findings shed further light on the fundamental role covered by subcortical structures in ADHD pathogenesis and neurodevelopment, providing new evidence to fill the gap between neurofunctional and clinical expressions of ADHD.

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Manual morphometry of hippocampus and amygdala in adults with attention-deficit hyperactivity disorder

Cited by 10 publications

References 22 publications

Lifespan associations of resting-state brain functional networks with ADHD symptoms

Lifespan associations of resting-state brain functional networks with ADHD symptoms

Structural connectivity of the amygdala in young adults with autism spectrum disorder

Beneath the surface: hyper-connectivity between caudate and salience regions in ADHD fMRI at rest

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