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Girelli F, Rossetti MG, Perlini C, Bellani M. Neural correlates of cognitive behavioral therapy-based interventions for bipolar disorder: A scoping review. J Psychiatr Res 2024; 172:351-359. [PMID: 38447356 DOI: 10.1016/j.jpsychires.2024.02.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 02/20/2024] [Accepted: 02/24/2024] [Indexed: 03/08/2024]
Abstract
Cognitive Behavioral Therapy (CBT) is among the gold-standard psychotherapeutic interventions for the treatment of psychiatric disorders, including bipolar disorder (BD). While the clinical response of CBT in patients with BD has been widely investigated, its neural correlates remain poorly explored. Therefore, this scoping review aimed to discuss neuroimaging studies on CBT-based interventions in bipolar populations. Particular attention has been paid to similarities and differences between studies to inform future research. The literature search was conducted on PubMed, PsycINFO, and Web of Science databases in June 2023, identifying 307 de-duplicated records. Six studies fulfilled the inclusion criteria and were reviewed. All of them analyzed functional brain activity data. Four studies showed that the clinical response to CBT was associated with changes in the functional activity and/or connectivity of prefrontal and posterior cingulate cortices, temporal parietal junction, amygdala, precuneus, and insula. In two additional studies, a peculiar pattern of baseline activations in the prefrontal cortex, hippocampus, amygdala, and insula predicted post-treatment improvements in depressive symptoms, emotion dysregulation, and psychosocial functioning, although CBT-specific effects were not shown. These results suggest, at the very preliminary level, the potential of CBT-based interventions in modulating neural activity and connectivity of patients with BD, especially in regions ascribed to emotional processing. Nonetheless, the discrepancies between studies concerning aims, design, sample characteristics, and CBT and fMRI protocols do not allow conclusions to be drawn. Further research using multimodal imaging techniques, better-characterized BD samples, and standardized CBT-based interventions is needed.
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Affiliation(s)
- Francesca Girelli
- UOC Psichiatria, Azienda Ospedaliera Universitaria Integrata, Verona, Italy
| | - Maria Gloria Rossetti
- UOC Psichiatria, Azienda Ospedaliera Universitaria Integrata, Verona, Italy; Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Cinzia Perlini
- Section of Clinical Psychology, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
| | - Marcella Bellani
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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2
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Colmers PLW, Antonoudiou P, Basu T, Scapa G, Fuller P, Maguire J. Loss of PV interneurons in the BLA contributes to altered network and behavioral states in chronically epileptic mice. bioRxiv 2023:2023.12.05.570112. [PMID: 38106120 PMCID: PMC10723361 DOI: 10.1101/2023.12.05.570112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Psychiatric disorders, including anxiety and depression, are highly comorbid in people with epilepsy. However, the mechanisms mediating the shared pathophysiology are currently unknown. There is considerable evidence implicating the basolateral amygdala (BLA) in the network communication of anxiety and fear, a process demonstrated to involve parvalbumin-positive (PV) interneurons. The loss of PV interneurons has been well described in the hippocampus of chronically epileptic mice and in postmortem human tissue of patients with temporal lobe epilepsy (TLE). We hypothesize that a loss of PV interneurons in the BLA may contribute to comorbid mood disorders in epilepsy. To test this hypothesis, we employed a ventral intrahippocampal kainic acid (vIHKA) model of chronic epilepsy in mice, which exhibits profound behavioral deficits associated with chronic epilepsy. We demonstrate a loss of PV interneurons and dysfunction of remaining PV interneurons in the BLA of chronically epileptic mice. Further, we demonstrate altered principal neuron function and impaired coordination of BLA network and behavioral states in chronically epileptic mice. To determine whether these altered network and behavioral states were due to the loss of PV interneurons, we ablated a similar percentage of PV interneurons observed in chronically epileptic mice by stereotaxically injecting AAV-Flex-DTA into the BLA of PV-Cre mice. Loss of PV interneurons in the BLA is sufficient to alter behavioral states, inducing deficits in fear learning and recall of fear memories. These data suggest that compromised inhibition in the BLA in chronically epileptic mice contributes to behavioral deficits, suggesting a novel mechanism contributing to comorbid anxiety and epilepsy. Significance Statement Psychiatric illnesses and epilepsy are highly comorbid and negatively impact the quality of life of people with epilepsy. The pathophysiological mechanisms mediating the bidirectional relationship between mood disorders and epilepsy remain unknown and, therefore, treatment options remain inadequate. Here we demonstrate a novel mechanism, involving the loss of PV interneurons in the BLA, leading to a corruption of network and behavioral states in mice. These findings pinpoint a critical node and demonstrate a novel cellular and circuit mechanism involved in the comorbidity of psychiatric illnesses and epilepsy.
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Yuan S, Luo X, Chen X, Wang M, Hu Y, Zhou Y, Ning Y, Zhang B. Functional connectivity differences in the amygdala are related to the antidepressant efficacy of ketamine in patients with anxious depression. J Affect Disord 2023; 320:29-36. [PMID: 36181911 DOI: 10.1016/j.jad.2022.09.125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/15/2022] [Accepted: 09/26/2022] [Indexed: 02/02/2023]
Abstract
BACKGROUND The antidepressant effects of ketamine in patients with anxious depression (AD) remain unclear. Functional connectivity (FC) differences in the amygdala have been linked to depression improvement after ketamine treatment in depressed patients, but their role in AD patients is uncertain. We investigated the correlation between depression improvement after ketamine treatment and amygdala FC in AD patients. METHODS Thirty-one AD patients and 18 non-anxious depression (NAD) patients received six intravenous ketamine infusions (0.5 mg/kg) over two weeks. AD patients were further divided into responders (defined as a ≥50% MADRS total score reduction on day 13) and non-responders. The FC of the amygdala subregions, including the laterobasal amygdala (LBA), centromedial amygdala (CMA), and superficial amygdala, were compared between the groups. Receiver operating characteristic curves were used to predict treatment response after ketamine infusions. RESULTS The baseline FC difference in the left LBA and the left precuneus between responders and non-responders among AD patients was found to be associated with depression improvement and was a significant predictor of treatment response to ketamine. A marked reduction in baseline LBA-precuneus FC after ketamine infusion was observed in responders. Unlike in patients with NAD, a lower right CMA-right middle temporal gyrus FC was found in AD patients. LIMITATIONS The sample size is rather small. CONCLUSIONS Our findings may suggest that amygdala FC is a significant predictor of treatment response to ketamine infusions in patients with AD. Further studies exploring the potential antidepressant mechanisms of ketamine may aid in the treatment of AD patients.
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Affiliation(s)
- Shiqi Yuan
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xin Luo
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoyu Chen
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Mingqia Wang
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yiru Hu
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yanling Zhou
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- Psychiatric & Psychological Neuroimage Laboratory (PsyNI Lab), The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bin Zhang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin Medical University, Tianjin, China.
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4
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Röttgering JG, Douw L, de Witt Hamer PC, Kouwenhoven MCM, Würdinger T, van de Ven PM, Sharpe L, Knoop H, Klein M. Reducing severe fatigue in patients with diffuse glioma: a study protocol for an RCT on the effect of blended cognitive behavioural therapy. Trials 2022; 23:568. [PMID: 35841104 PMCID: PMC9287927 DOI: 10.1186/s13063-022-06485-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/19/2022] [Indexed: 11/10/2022] Open
Abstract
Background Fatigue is the most frequent and burdensome symptom of patients with diffuse glioma. It is closely linked to decreased health-related quality of life and symptoms such as depression and sleep disturbances. Currently, there is no evidence-based treatment that targets severe fatigue in patients with brain tumours. Cognitive behavioural therapy is aimed at fatigue-maintaining beliefs and behaviour. This therapy has been proven effective in reducing severe fatigue in cancer survivors and patients with multiple sclerosis. A blended therapy program combines sessions with a therapist with therapist-guided web-based therapy modules. The aim of this randomized controlled trial is to determine the efficacy of blended cognitive behavioural therapy in treating severe fatigue in patients with diffuse glioma. Methods We will include a maximum of 100 patients with diffuse glioma with clinically and radiologically stable disease and severe fatigue (i.e. Checklist Individual Strength, subscale fatigue severity ≥ 35). Patients will be randomized to blended cognitive behavioural therapy or a waiting list condition. The 12-week intervention GRIP on fatigue consists of five patient-therapist sessions and five to eight individualized web-based therapy modules supported by email contact. The primary outcome measure is fatigue severity. Secondary outcome measures include sleep quality, health-related quality of life, depression, anxiety, functional impairment and subjective and objective cognitive functioning. Primary and secondary outcome measures will be assessed at baseline and after 14 and 24 weeks. Magnetoencephalography and MRI will be used to evaluate potential biomarkers for intervention success. This trial has a Bayesian design: we will conduct multiple interim analyses to test for efficacy or futility of the trial. This is the first trial within the GRIP trial platform: a platform developing four to five different interventions for the most common symptoms in patients with diffuse glioma. Discussion The results of the GRIP on fatigue trial will provide information about the efficacy of this intervention on fatigue in patients with diffuse glioma. Multiple other outcomes and possible predictors of treatment success will also be explored. Trial registration Netherlands Trial Register NL8711. Registered on 14 June 2020. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06485-5.
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Affiliation(s)
- Jantine Geertruida Röttgering
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Psychology, De Boelelaan 1117, Amsterdam, The Netherlands. .,Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands. .,Amsterdam UMC location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Linda Douw
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.,Amsterdam UMC location Vrije Universiteit Amsterdam, Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, The Netherlands.,Department of Radiology, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, 149 13th Street, Boston, MA, 02129, USA
| | - Philip C de Witt Hamer
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.,Amsterdam UMC location Vrije Universiteit Amsterdam, Neurosurgery, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Mathilde C M Kouwenhoven
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.,Amsterdam UMC location Vrije Universiteit Amsterdam, Neurology, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Tom Würdinger
- Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands.,Amsterdam UMC location Vrije Universiteit Amsterdam, Neurosurgery, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Peter M van de Ven
- Amsterdam UMC location Vrije Universiteit Amsterdam, Epidemiology and Data Science, Amsterdam, The Netherlands
| | - Louise Sharpe
- The School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Hans Knoop
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Psychology, De Boelelaan 1117, Amsterdam, The Netherlands.,Amsterdam UMC location University of Amsterdam, Medical Psychology, Meibergdreef 9, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Expert Center for Chronic Fatigue, Amsterdam, The Netherlands
| | - Martin Klein
- Amsterdam UMC location Vrije Universiteit Amsterdam, Medical Psychology, De Boelelaan 1117, Amsterdam, The Netherlands.,Cancer Center Amsterdam, Brain Tumor Center, Amsterdam, The Netherlands
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Zarate-Guerrero S, Duran JM, Naismith I. How a transdiagnostic approach can improve the treatment of emotional disorders: Insights from clinical psychology and neuroimaging. Clin Psychol Psychother 2022; 29:895-905. [PMID: 34984759 DOI: 10.1002/cpp.2704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 12/28/2021] [Accepted: 12/29/2021] [Indexed: 11/05/2022]
Abstract
Multiple psychological treatments for emotional disorders have been developed and implemented, improving the quality of life of individuals. Nevertheless, relapse and poor response to psychotherapy are common. This article argues that a greater understanding of both the psychological and neurobiological mechanisms of change in psychotherapy is essential to improve treatment for emotional disorders. It aims to demonstrate how an understanding of these mechanisms provides a basis for (i) reconceptualizing some mental disorders, (ii) refining and establishing the evidence for existing therapeutic techniques and (iii) designing new techniques that precisely target the processes that maintain these disorders. Possible future directions for researchers and practitioners working at the intersection of neuropsychology and clinical psychology are discussed.
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Affiliation(s)
- Santiago Zarate-Guerrero
- Facultad de Ciencias Sociales y Humanas, Programa Virtual de Psicología, Grupo: Psynergia, Fundación Universitaria del Área Andina, Bogotá, Colombia
- Programa de Psicología, Grupo de investigación: Mente Cerebro y Comportamiento, Universidad Sergio Arboleda, Bogotá, Colombia
| | - Johanna M Duran
- Facultad de Ciencias Sociales y Humanas, Programa de Psicología, Fundación Universitaria del Área Andina, Bogotá, Colombia
| | - Iona Naismith
- Departamento de Psicología, Universidad de los Andes, Bogota, Colombia
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Singh MK, Nimarko AF, Garrett AS, Gorelik AJ, Roybal DJ, Walshaw PD, Chang KD, Miklowitz DJ. Changes in Intrinsic Brain Connectivity in Family-Focused Therapy Versus Standard Psychoeducation Among Youths at High Risk for Bipolar Disorder. J Am Acad Child Adolesc Psychiatry 2021; 60:458-469. [PMID: 32745598 PMCID: PMC7854810 DOI: 10.1016/j.jaac.2020.07.892] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 04/22/2020] [Accepted: 07/24/2020] [Indexed: 01/12/2023]
Abstract
OBJECTIVE We compared intrinsic network connectivity in symptomatic youths at high risk (HR) for bipolar disorder (BD) and healthy comparison (HC) youths. In HR youths, we also investigated treatment-related changes in intrinsic connectivity after family-focused therapy for high-risk youths (FFT-HR) vs standardized family psychoeducation. METHOD HR youths (N = 34; age 9-17 years; mean 14 years, 56% girls and 44% boys) with depressive and/or hypomanic symptoms and at least 1 first- or second-degree relative with BD I or II were randomly assigned to 4 months of FFT-HR (12 sessions of psychoeducation, communication, and problem-solving skills training) or enhanced care (EC; 3 family and 3 individual psychoeducation sessions). Before and after 4 months of treatment, participants underwent resting state functional magnetic resonance imaging (rs-fMRI). A whole-brain independent component analysis compared rs-fMRI networks in HR youths and 30 age-matched HC youths at a pretreatment baseline. Then we identified pretreatment to posttreatment (4-month) changes in network connectivity in HR youths receiving FFT-HR (n = 16) or EC (n = 18) and correlated these changes with depression improvement. RESULTS At baseline, HR youths had greater connectivity between the ventrolateral prefrontal cortex (VLPFC) and the anterior default mode network (aDMN) than did HCs (p = .004). Over 4 months of treatment, FFT-HR-assigned HR youths had increased VLPFC-aDMN connectivity from pre- to posttreatment (p = .003), whereas HR youths in EC showed no significant change over time (p = .11) (treatment by time interaction, t31 = 3.33, 95% CI = 0.27-1.14, p = .002]. Reduction in depression severity over 4 months inversely correlated with enhanced anterior DMN (r = -0.71) connectivity in the FFT-HR but not in the EC (r = -0.07) group (z = -2.17, p = .015). CONCLUSION Compared to standard psychoeducation, FFT-HR is associated with stronger connectivity between the VLPFC and aDMN, suggesting possible enhancements of self-awareness, illness awareness, and emotion regulation. CLINICAL TRIAL REGISTRATION INFORMATION Early Intervention for Youth at Risk for Bipolar Disorder; https://clinicaltrials.gov/; NCT01483391.
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Affiliation(s)
| | | | - Amy S. Garrett
- University of Texas, Health Science Center at San Antonio
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Taylor JJ, Kurt HG, Anand A. Resting State Functional Connectivity Biomarkers of Treatment Response in Mood Disorders: A Review. Front Psychiatry 2021; 12:565136. [PMID: 33841196 PMCID: PMC8032870 DOI: 10.3389/fpsyt.2021.565136] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2020] [Accepted: 02/26/2021] [Indexed: 12/24/2022] Open
Abstract
There are currently no validated treatment biomarkers in psychiatry. Resting State Functional Connectivity (RSFC) is a popular method for investigating the neural correlates of mood disorders, but the breadth of the field makes it difficult to assess progress toward treatment response biomarkers. In this review, we followed general PRISMA guidelines to evaluate the evidence base for mood disorder treatment biomarkers across diagnoses, brain network models, and treatment modalities. We hypothesized that no treatment biomarker would be validated across these domains or with independent datasets. Results are organized, interpreted, and discussed in the context of four popular analytic techniques: (1) reference region (seed-based) analysis, (2) independent component analysis, (3) graph theory analysis, and (4) other methods. Cortico-limbic connectivity is implicated across studies, but there is no single biomarker that spans analyses or that has been replicated in multiple independent datasets. We discuss RSFC limitations and future directions in biomarker development.
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Affiliation(s)
- Joseph J Taylor
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Hatice Guncu Kurt
- Center for Behavioral Health, Cleveland Clinic, Cleveland, OH, United States
| | - Amit Anand
- Center for Behavioral Health, Cleveland Clinic, Cleveland, OH, United States
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Chahal R, Gotlib IH, Guyer AE. Research Review: Brain network connectivity and the heterogeneity of depression in adolescence - a precision mental health perspective. J Child Psychol Psychiatry 2020; 61:1282-1298. [PMID: 32458453 PMCID: PMC7688558 DOI: 10.1111/jcpp.13250] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/03/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND Adolescence is a period of high risk for the onset of depression, characterized by variability in symptoms, severity, and course. During adolescence, the neurocircuitry implicated in depression continues to mature, suggesting that it is an important period for intervention. Reflecting the recent emergence of 'precision mental health' - a person-centered approach to identifying, preventing, and treating psychopathology - researchers have begun to document associations between heterogeneity in features of depression and individual differences in brain circuitry, most frequently in resting-state functional connectivity (RSFC). METHODS In this review, we present emerging work examining pre- and post-treatment measures of network connectivity in depressed adolescents; these studies reveal potential intervention-specific neural markers of treatment efficacy. We also review findings from studies examining associations between network connectivity and both types of depressive symptoms and response to treatment in adults, and indicate how this work can be extended to depressed adolescents. Finally, we offer recommendations for research that we believe will advance the science of precision mental health of adolescence. RESULTS Nascent studies suggest that linking RSFC-based pathophysiological variation with effects of different types of treatment and changes in mood following specific interventions will strengthen predictions of prognosis and treatment response. Studies with larger sample sizes and direct comparisons of treatments are required to determine whether RSFC patterns are reliable neuromarkers of treatment response for depressed adolescents. Although we are not yet at the point of using RSFC to guide clinical decision-making, findings from research examining the stability and reliability of RSFC point to a favorable future for network-based clinical phenotyping. CONCLUSIONS Delineating the correspondence between specific clinical characteristics of depression (e.g., symptoms, severity, and treatment response) and patterns of network-based connectivity will facilitate the development of more tailored and effective approaches to the assessment, prevention, and treatment of depression in adolescents.
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Affiliation(s)
- Rajpreet Chahal
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Ian H. Gotlib
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Amanda E. Guyer
- Department of Human Ecology, University of California, Davis, Davis, CA, USA,Center for Mind and Brain, University of California, Davis, Davis, CA, USA
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9
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Diaz AP, Bauer IE, Sanches M, Soares JC. Neuroanatomic and Functional Neuroimaging Findings. Curr Top Behav Neurosci 2021; 48:173-96. [PMID: 33040316 DOI: 10.1007/7854_2020_174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
The search for brain morphology findings that could explain behavioral disorders has gone through a long path in the history of psychiatry. With the advance of brain imaging technology, studies have been able to identify brain morphology and neural circuits associated with the pathophysiology of mental illnesses, such as bipolar disorders (BD). Promising results have also shown the potential of neuroimaging findings in the identification of outcome predictors and response to treatment among patients with BD. In this chapter, we present brain imaging structural and functional findings associated with BD, as well as their hypothesized relationship with the pathophysiological aspects of that condition and their potential clinical applications.
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Sylvester CM, Yu Q, Srivastava AB, Marek S, Zheng A, Alexopoulos D, Smyser CD, Shimony JS, Ortega M, Dierker DL, Patel GH, Nelson SM, Gilmore AW, McDermott KB, Berg JJ, Drysdale AT, Perino MT, Snyder AZ, Raut RV, Laumann TO, Gordon EM, Barch DM, Rogers CE, Greene DJ, Raichle ME, Dosenbach NUF. Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry. Proc Natl Acad Sci U S A 2020; 117:3808-3818. [PMID: 32015137 PMCID: PMC7035483 DOI: 10.1073/pnas.1910842117] [Citation(s) in RCA: 73] [Impact Index Per Article: 18.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
The amygdala is central to the pathophysiology of many psychiatric illnesses. An imprecise understanding of how the amygdala fits into the larger network organization of the human brain, however, limits our ability to create models of dysfunction in individual patients to guide personalized treatment. Therefore, we investigated the position of the amygdala and its functional subdivisions within the network organization of the brain in 10 highly sampled individuals (5 h of fMRI data per person). We characterized three functional subdivisions within the amygdala of each individual. We discovered that one subdivision is preferentially correlated with the default mode network; a second is preferentially correlated with the dorsal attention and fronto-parietal networks; and third subdivision does not have any networks to which it is preferentially correlated relative to the other two subdivisions. All three subdivisions are positively correlated with ventral attention and somatomotor networks and negatively correlated with salience and cingulo-opercular networks. These observations were replicated in an independent group dataset of 120 individuals. We also found substantial across-subject variation in the distribution and magnitude of amygdala functional connectivity with the cerebral cortex that related to individual differences in the stereotactic locations both of amygdala subdivisions and of cortical functional brain networks. Finally, using lag analyses, we found consistent temporal ordering of fMRI signals in the cortex relative to amygdala subdivisions. Altogether, this work provides a detailed framework of amygdala-cortical interactions that can be used as a foundation for models relating aberrations in amygdala connectivity to psychiatric symptoms in individual patients.
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Affiliation(s)
- Chad M Sylvester
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110;
| | - Qiongru Yu
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
| | - A Benjamin Srivastava
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
- Department of Psychiatry, Columbia University, New York, NY 10032
- New York State Psychiatric Institute, New York, NY 10032
| | - Scott Marek
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
| | - Annie Zheng
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110
| | | | - Christopher D Smyser
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110
| | - Joshua S Shimony
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
| | - Mario Ortega
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110
- Teva Pharmaceuticals, North Wales, PA 19454
| | - Donna L Dierker
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
| | - Gaurav H Patel
- Department of Psychiatry, Columbia University, New York, NY 10032
- New York State Psychiatric Institute, New York, NY 10032
| | - Steven M Nelson
- VISN 17 Center of Excellence for Research on Returning War Veterans, Doris Miller VA Medical Center, Waco, TX 76711
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX 75235
- Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706
| | - Adrian W Gilmore
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110
| | - Kathleen B McDermott
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110
| | - Jeffrey J Berg
- Department of Psychology, New York University, New York, NY 10003
| | - Andrew T Drysdale
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
| | - Michael T Perino
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
| | - Abraham Z Snyder
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
| | - Ryan V Raut
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
| | - Timothy O Laumann
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
| | - Evan M Gordon
- VISN 17 Center of Excellence for Research on Returning War Veterans, Doris Miller VA Medical Center, Waco, TX 76711
- Center for Vital Longevity, University of Texas at Dallas, Dallas, TX 75235
- Department of Psychology and Neuroscience, Baylor University, Waco, TX 76706
| | - Deanna M Barch
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63110
| | - Cynthia E Rogers
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110
| | - Deanna J Greene
- Department of Psychiatry, Washington University in St. Louis, St. Louis, MO 63110
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
| | - Marcus E Raichle
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110;
| | - Nico U F Dosenbach
- Department of Neurology, Washington University in St. Louis, St. Louis, MO 63110
- Department of Radiology, Washington University in St. Louis, St. Louis, MO 63110
- Department of Pediatrics, Washington University in St. Louis, St. Louis, MO 63110
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63110
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Nasiri F, Mashhadi A, Bigdeli I, Chamanabad AG, Ellard KK. Augmenting the unified protocol for transdiagnostic treatment of emotional disorders with transcranial direct current stimulation in individuals with generalized anxiety disorder and comorbid depression: A randomized controlled trial. J Affect Disord 2020; 262:405-413. [PMID: 31740106 DOI: 10.1016/j.jad.2019.11.064] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Revised: 09/27/2019] [Accepted: 11/10/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND The aim of the current study was to compare the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders (UP) with and without transcranial direct current stimulation (tDCS) in individuals suffering from generalized anxiety disorder (GAD) and comorbid depression. METHODS A total of 43 individuals diagnosed with GAD and comorbid depression enrolled in a randomized controlled trial (IRCT20140929019334N1). Participants were randomly assigned to three groups including UP with tDCS (UP+tDCS; n = 15), UP alone (UP; n = 13) or wait-list control (n = 15). GAD and depression symptoms, worry severity, anxiety sensitivity, and intolerance of uncertainty were assessed at baseline, post-treatment and 3-month follow-up. RESULTS Treatment with both UP+tDCS and UP alone resulted in significant lower ratings across all measures relative to wait-list controls at post-treatment and 3-month follow-up (all p-values <0.001). UP+tDCS showed significantly greater reductions in anxiety (p = 0.001 post-treatment; p = 0.003 follow-up), worry (p = 0.001 post-treatment; p = 0.002 follow-up), and anxiety sensitivity (p = 0.003 post-treatment; p = 0.002 follow-up) relative to UP alone. LIMITATIONS The present study had some limitations. First, the sample size was low. Another limitation was the use of a short-term follow-up. CONCLUSIONS These results suggest augmenting UP treatment with tDCS may be an efficacious strategy to improve treatment outcomes in GAD with comorbid depression. Trial registration reference is IRCT20140929019334N1 (see https://irct.ir/trial/27988).
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Affiliation(s)
- Farzad Nasiri
- Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Ali Mashhadi
- Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.
| | - Imanollah Bigdeli
- Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Ali Ghanaei Chamanabad
- Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Kristen K Ellard
- Department of Psychiatry, Massachusetts General Hospital /Harvard Medical School, Boston, United States
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Thomas SA, Christensen RE, Schettini E, Saletin JM, Ruggieri AL, MacPherson HA, Kim KL, Dickstein DP. Preliminary analysis of resting state functional connectivity in young adults with subtypes of bipolar disorder. J Affect Disord 2019; 246:716-726. [PMID: 30616161 PMCID: PMC8805680 DOI: 10.1016/j.jad.2018.12.068] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 11/25/2018] [Accepted: 12/23/2018] [Indexed: 12/16/2022]
Abstract
BACKGROUND A precision medicine approach to bipolar disorder (BD) requires greater knowledge of neural mechanisms, especially within the BD phenotype. The present study evaluated differences in resting state functional connectivity (RSFC) between young adults followed longitudinally since childhood with full-threshold type I BD (BD-I)-characterized by distinct manic episodes-or a more sub-syndromal presentation of BD (BD Not Otherwise Specified [BD-NOS]), compared to one another and to healthy controls (HC). Independent Components Analysis (ICA), a multivariate data-driven method, and dual regression were used to explore whether connectivity within resting state networks (RSNs) differentiated the groups, especially for characteristic fronto-limbic alterations in BD. METHODS Young adults (ages 18-30) with BD-I (n = 28), BD-NOS (n = 14), and HCs (n = 52) underwent structural and RSFC neuroimaging. ICA derived 30 components from RSFC data; a subset of these components, representing well-characterized RSNs, was used for between-group analyses. RESULTS Participants with BD-I had significantly greater connectivity strength between the executive control network and right caudate vs. HCs. Participants with BD-NOS had significantly greater connectivity strength between the sensorimotor network and left precentral gyrus vs. HCs, which was significantly related to psychiatric symptoms. LIMITATIONS Limitations included small BD-NOS sample size and variation in BD mood state and medication status. CONCLUSIONS Results for BD-I participants support prior findings of fronto-limbic alterations characterizing BD. Alterations in the sensorimotor network for adults with BD-NOS aligns with the small but growing body of evidence that sensorimotor network alterations may represent a marker for vulnerability to BD. Further study is required to evaluate specificity.
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Affiliation(s)
- Sarah A. Thomas
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA,Corresponding Author: Sarah A. Thomas, Bradley
Hospital PediMIND Program, 1011 Veterans Memorial Parkway, East Providence, RI
02915, Phone: (401) 432-1618, Fax: (401) 432-1607,
| | - Rachel E. Christensen
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Elana Schettini
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Jared M. Saletin
- Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA,Emma Pendleton Bradley Hospital Sleep Research Laboratory,
Providence, RI, USA
| | - Amanda L. Ruggieri
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA
| | - Heather A. MacPherson
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA
| | - Kerri L. Kim
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA
| | - Daniel P. Dickstein
- Pediatric Mood, Imaging, and NeuroDevelopment (PediMIND)
Program, Emma Pendleton Bradley Hospital, East Providence, RI, USA,Division of Child Psychiatry, Department of Psychiatry and
Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI,
USA
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