Aims: Anxiety a core feature of panic disorder, is linked to function of the amygdala. Volume alterations in the brain of patients with panic disorder have previously been reported, but there has been no report of amygdala volume association with anxiety.Methods: Volumes of hippocampus and amygdala were manually measured using magnetic resonance imaging obtained from 27 patients with panic disorder and 30 healthy comparison subjects. In addition the amygdala was focused on, applying small volume correction to optimized voxel-based morphometry (VBM). State-Trait Anxiety Inventory and the NEO Personality Inventory Revised were also used to evaluate anxiety. Results: Amygdala volumes in both hemisphereswere significantly smaller in patients with panic disorder compared with control subjects (left: t = -2.248, d.f. = 55, P = 0.029; right: t = -2.892, d.f. = 55, P = 0.005). VBM showed that structural alteration in the panic disorder group occurred on the corticomedial nuclear group within the right amygdala (coordinates [x,y,z (mm)]: [26,-6,-16], Z score = 3.92, family-wise error-corrected P = 0.002). The state anxiety was negatively correlated with the left amygdala volume in patients with panic disorder (r = -0.545, P = 0.016).Conclusions: These findings suggested that the smaller volume of the amygdala may be associated with anxiety in panic disorder. Of note, the smaller subregion in the amygdala estimated on VBM could correspond to the corticomedial nuclear group including the central nucleus, which may play a crucial role in panic attack.
Both manual ROI tracing and optimized VBM suggest a subregion-specific pattern of ACC volume deficit in panic disorder. In addition to functional abnormalities, these results suggest that structural abnormalities of the ACC contribute to the pathophysiology of panic disorder.
Aims: The posterior region of the orbitofrontal cortex (OFC), which forms its sulcogyral pattern during neurodevelopment, receives multisensory inputs. The purpose of the present study was to assess the relationship between posterior OFC sulcogyral pattern and OFC volume difference in patients with panic disorder. Methods: The anatomical pattern of the posterior orbital sulcus (POS) was classified into three subtypes (absent POS, single POS, double POS) using 3‐D high‐spatial resolution magnetic resonance images obtained from 28 patients with panic disorder and 28 age‐ and gender‐matched healthy controls. Optimized voxel‐based morphometry (VBM) was performed to assess OFC volume differences between the two groups by subtype. Categorical regression analysis was applied to examine the association of POS subtypes with State–Trait Anxiety Inventory and Revised Neuroticism‐Extraversion‐Openness Personality Inventory scores. Results: No significant difference was found in POS subtype distribution between control subjects and patients with panic disorder. VBM, however, indicated volume reduction in the right posterior–medial OFC region in panic disorder patients with absent POS and single POS. Single POS was positively associated with Trait‐Anxiety (β = 0.446, F = 6.409, P = 0.020), and absent POS was negatively associated with Trait‐Anxiety (β = −0.394, F = 5.341, P = 0.032) and Neuroticism trait (β = −0.492, F = 6.989, P = 0.017). Conclusions: POS subtypes may be relevant to volume reduction in OFC and the anxiety trait in patients with panic disorder. These findings suggest that volume reduction in OFC in panic disorder may be associated with neurodevelopment.
Aim: The sulcogyral pattern of the orbitofrontal cortex (OFC) is characterized by a remarkable inter‐individual variability that likely reflects neurobehavioral traits and genetic aspects of neurodevelopment. The aim of the present study was to evaluate the OFC sulcogyral pattern of patients with schizophrenia (SZ) and healthy controls (HC) to determine group differences in OFC sulcogyral pattern as well as gender differences between groups. Methods: Forty‐seven SZ patients (M/F, 23/24) and forty‐seven HC (M/F, 17/30), matched on age and gender, were analyzed using magnetic resonance imaging. The sulcogyral pattern was classified into type I, II, or III based on the guidelines set by Chiavaras and Petrides in a previous paper. Chi‐squared analysis was used to investigate group and gender differences in the sulcogyral pattern distribution, and categorical regression was used to explore clinical correlations. Results: The distribution of OFC sulcogyral pattern in HC replicated the results found in the previous study (left, χ2 = 0.02, P = 0.989; right, χ2 = 0.97, P = 0.616), in that there were no gender differences. Moreover, the distribution in SZ‐M was in accordance with that in the previous study (left, χ2 = 1.59, P = 0.451; right, χ2 = 0.14, P = 0.933). Additionally, within SZ‐M, patients with the type III pattern had a higher total positive and negative syndrome scale score (β = 0.902, F = 14.75, P = 0.001). In contrast, the distribution in the right hemisphere in the SZ‐F group differed significantly from that observed in SZ‐M (χ2 = 6.017, P = 0.046), but did not differ from HC (χ2 = 2.557, P = 0.110). Conclusion: OFC sulcogyral pattern is altered in SZ‐M but not in SZ‐F, possibly reflecting gender differences in early neurodevelopment.
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