scholarly journals Graph theory analysis of whole brain functional connectivity to assess disturbances associated with suicide attempts in bipolar disorder

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Anjali Sankar ◽  
Dustin Scheinost ◽  
Danielle A. Goldman ◽  
Rebecca Drachman ◽  
Lejla Colic ◽  
...  

AbstractBrain targets to lower the high risk of suicide in Bipolar Disorder (BD) are needed. Neuroimaging studies employing analyses dependent on regional assumptions could miss hubs of dysfunction critical to the pathophysiology of suicide behaviors and their prevention. This study applied intrinsic connectivity distribution (ICD), a whole brain graph‐theoretical approach, to identify hubs of functional connectivity (FC) disturbances associated with suicide attempts in BD. ICD, from functional magnetic resonance imaging data acquired while performing a task involving implicit emotion regulation processes important in BD and suicide behaviors, was compared across 40 adults with BD with prior suicide attempts (SAs), 49 with BD with no prior attempts (NSAs) and 51 healthy volunteers (HVs). Areas of significant group differences were used as seeds to identify regional FC differences and explore associations with suicide risk-related measures. ICD was significantly lower in SAs than in NSAs and HVs in bilateral ventromedial prefrontal cortex (vmPFC) and right anterior insula (RaIns). Seed connectivity revealed altered FC from vmPFC to bilateral anteromedial orbitofrontal cortex, left ventrolateral PFC (vlPFC) and cerebellum, and from RaIns to right vlPFC and temporopolar cortices. VmPFC and RaIns ICD were negatively associated with suicidal ideation severity, and vmPFC ICD with hopelessness and attempt lethality severity. The findings suggest that SAs with BD have vmPFC and RaIns hubs of dysfunction associated with altered FC to other ventral frontal, temporopolar and cerebellar cortices, and with suicidal ideation, hopelessness, and attempt lethality. These hubs may be targets for novel therapeutics to reduce suicide risk in BD.

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Eric A Reavis ◽  
Junghee Lee ◽  
Lori L Altshuler ◽  
Mark S Cohen ◽  
Stephen A Engel ◽  
...  

Abstract Visual processing abnormalities in schizophrenia (SZ) are poorly understood, yet predict functional outcomes in the disorder. Bipolar disorder (BD) may involve similar visual processing deficits. Converging evidence suggests that visual processing may be relatively normal at early stages of visual processing such as early visual cortex (EVC), but that processing abnormalities may become more pronounced by mid-level visual areas such as lateral occipital cortex (LO). However, little is known about the connectivity of the visual system in SZ and BD. If the flow of information to, from, or within the visual system is disrupted by reduced connectivity, this could help to explain perceptual deficits. In the present study, we performed a targeted analysis of the structural and functional connectivity of the visual system using graph-theoretic metrics in a sample of 48 SZ, 46 BD, and 47 control participants. Specifically, we calculated parallel measures of local efficiency for EVC and LO from both diffusion weighted imaging data (structural) and resting-state (functional) imaging data. We found no structural connectivity differences between the groups. However, there was a significant group difference in functional connectivity and a significant group-by-region interaction driven by reduced LO connectivity in SZ relative to HC, whereas BD was approximately intermediate to the other 2 groups. We replicated this pattern of results using a different brain atlas. These findings support and extend theoretical models of perceptual dysfunction in SZ, providing a framework for further investigation of visual deficits linked to functional outcomes in SZ and related disorders.


2021 ◽  
Vol 89 (9) ◽  
pp. S296
Author(s):  
Anjali Sankar ◽  
Dustin Scheinost ◽  
Danielle Goldman ◽  
Rebecca Drachman ◽  
Lejla Colic ◽  
...  

2017 ◽  
Vol 41 (S1) ◽  
pp. S101-S101
Author(s):  
D. Cozman ◽  
R. Moldovan ◽  
B. Nemes

IntroductionA better understanding of the genomics of mental illnesses allowed genetic counselling to be provided to individuals with severe mental illness and their families.AimThe present study was aimed at assessing the efficacy of genetic counselling for severe mental illnesses with high suicide risk.MethodAssessment was performed before and after genetic counselling session. Measures used were evaluation of traumatic events in childhood, multidimensional scale for perception of social support (SMSSP), positive and negative affect schedule (PANAS-X), Brief Psychiatric Rating Scale (BPRS), Paykel questionnaire and Genetic Counselling Outcome Scale (GCOS). Paykel's questionnaire consists of five questions about suicidal thoughts and attempts, including: life-weariness, death wishes, suicidal ideation, suicidal plans and suicide attempts. Intervention and assessment lasted approximately one and a half hour. Data from 48 patients was analysed.ResultsMean age of participants was M = 38.4, SD = 9.7, and the group was batter represented by females (57%). The participants had various diagnoses, 22% had schizophrenia, 36% bipolar disorder and 42% recurrent depressive disorder. Forty percent of participants reported suicidal ideation and 22,5% had a past history of suicide attempt. Genetic counselling had a direct positive influence upon GCOS specific items and reduced the Paykel scores among participants presenting with suicidal ideation.ConclusionGenetic counselling offers information about the disorder, the role of genetics and the impact of environmental factors. Preliminary data suggest that providing genetic counselling decreases the suicidal ideation frequency.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2020 ◽  
Author(s):  
Mbemba Jabbi ◽  
Wade Weber ◽  
Jeffrey Welge ◽  
Fabiano Nery ◽  
Maxwell Tallman ◽  
...  

ABSTRACTOver 2.3 million people in the United States live with bipolar disorder. Sixty percent of those with a bipolar disorder diagnosis attempt suicide at least once in their lifetime, and up to 19% die by suicide. However, the neurobiology of suicide attempts in bipolar disorder remains unclear. Here, we studied the neuroanatomical basis for suicide attempt history in bipolar disorder by measuring gray matter volumes (GMV) to identify differences in brain-volumes in 121 participants with bipolar disorder type I, and healthy participants (n=40). The bipolar group consisted of individuals with suicide attempt history (n=23) and no suicide attempt history (n=58). All participants completed behavioral/diagnostic assessments and MRI measures of GMV. We focused on a predefined frontolimbic circuitry in bipolar disorder versus (vs.) healthy to first identify diagnostic GMV markers and to specifically identify markers for suicide attempt history. We found reduced GMV markers for bipolar diagnosis (i.e., bipolar<healthy) in the anterior cingulate cortex (ACC), and dorsolateral prefrontal cortices (DLPFC). Our observed frontolimbic GMV abnormalities were associated with suicide attempt history and measures of individual variations in current suicidal ideation at the time of scanning. These results identified a frontolimbic-GMV marker for bipolar diagnosis and suicidal behavioral risk tendencies.HighlightsSuicide is a major health problem especially in bipolar disorder but the neurobiological basis for suicide attempts remains obscure. We identified an anterior cingulate and dorsolateral prefrontal cortical volume correlate for suicide attempt history and suicidal ideation and thereby demonstrates a convergent brain marker for suicidal behaviors.


2020 ◽  
Author(s):  
Lin Chen ◽  
Yu-Yu Xu ◽  
Jing-Ge Du ◽  
Li-Min Xin ◽  
Su-Li Wang ◽  
...  

Abstract Background: Bipolar disorder (BD) is a kind of mental disorder with the greatest risk of suicide, but it is often misdiagnosed as major depressive disorder (MDD) clinically. This study aimed to analyze the sociodemographic factors and clinical characteristics associated with suicide attempts (SA) in patients with BD misdiagnosed with MDD in China. Methods: A total of 1487 MDD patients were consecutively enrolled in 13 mental health centers in China. Data on patients’ sociodemographic and clinical characteristics were collected using a standardized protocol. Of these, 306 BD patients were misdiagnosed with MDD according to the Mini International Neuropsychiatric Interview (MINI). Suicide attempters and non-attempters were classified by the suicidality module of the MINI. Multiple logistic regression analyses were performed to assess the association between the independent variables of interest and SA in BD patients misdiagnosed with MDD. Results: Of the 306 BD patients misdiagnosed with MDD, 225 (73.5%) were non-attempters and 81 (26.5%) were attempters. Compared to non-attempters, attempters were older (Z =2.2, p = 0.03) and had more admissions(χ2 =6.1, p = 0.013), more frequent depressive episodes, more atypical characteristics (e.g. increased appetite, weight gain, and more sleep time)(χ2 = 5.8, p = 0.016), more suicidal ideation (χ2 = 27.3, p < 0.001), more psychotic symptoms (χ2 = 7.4, p = 0.006) and more seasonal depressive episodes (χ2 = 5.6, p = 0.018). Multiple logistic regression analyses revealed that attempters were characterized by more suicidal ideation (OR = 5.7, 95% CI: 2.6–12.5) and frequent depressive episodes (OR = 2.4, 95% CI: 1.3–4.6). The limitations of this study include its cross-sectional design and data collection by suicide attempters’ retrospective recall. Conclusions: The findings of this study suggest that BD patients misdiagnosed with MDD are at a higher risk of suicide, and more frequent depressive episodes and suicidal ideation are risk factors for attempted suicide. Early identification of and interventions for these risk factors might reduce the risk of suicide in BD patients misdiagnosed with MDD.


2020 ◽  
Vol 14 ◽  
Author(s):  
Anna Maria Sobczak ◽  
Bartosz Bohaterewicz ◽  
Tadeusz Marek ◽  
Magdalena Fafrowicz ◽  
Dominika Dudek ◽  
...  

2016 ◽  
Vol 33 (S1) ◽  
pp. S395-S396 ◽  
Author(s):  
M. Pompili ◽  
M. Innamorati ◽  
D. Erbuto ◽  
A. Costanzo

IntroductionPsoriasis has a significant impact on the mental and emotional functioning.ObjectiveIt has been reported that the risk of psychiatric comorbidity increases with the severity of the disorder, and the most frequent associations appear to be those with depression and anxiety.AimsTo analyze the association between psoriasis, mental disorders and suicidal ideation in a sample of patients affected by psoriasis. To investigate the differences between psoriasis patients and patients with other dermatologic diseases.MethodsParticipants were 242 consecutive patients (142 women and 100 men), 112 patients with psoriasis (46.3%), 77 with melanoma (31.8%) and 53 with allergy (21.0%). All patients were administered a structured sociodemographic interview and the following measures: the Hamilton Rating Scale for Depression (HAM-D) and the Hamilton Rating Scale for Anxiety (HAM-A). We also assessed current and previous suicidal ideation and previous suicide attempts.ResultsPatients with psoriasis (compared to other groups of patients) more frequently had a comorbid mood disorder (16.1% vs 3.9% and 0.0%, respectively for patients with melanoma and patients with allergy; χ22 = 14.98; P < 0.001), past suicidal ideation (33.9% vs 15.6% and 18.9%, respectively for patients with melanoma and patients with allergy; χ22 = 2.05; P < 0.01) and attempts (6.3% vs 0.0% and 0.0%, for the other groups of patients; χ22 = 8.37; P < 0.05). Patients with psoriasis reported higher HAM-D scores than melanoma patients.ConclusionsThe clinical evaluation of patients with psoriasis should include the assessment of psychiatric comorbidities and the routinely assessment of suicide risk.Disclosure of interestThe authors have not supplied their declaration of competing interest.


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