1
|
Thompson KI, Schneider CJ, Lopez-Roque JA, Wakschlag LS, Karim HT, Perlman SB. A network approach to the investigation of childhood irritability: probing frustration using social stimuli. J Child Psychol Psychiatry 2024; 65:959-972. [PMID: 38124618 PMCID: PMC11161318 DOI: 10.1111/jcpp.13937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/31/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Self-regulation in early childhood develops within a social context. Variations in such development can be attributed to inter-individual behavioral differences, which can be captured both as facets of temperament and across a normal:abnormal dimensional spectrum. With increasing emphasis on irritability as a robust early-life transdiagnostic indicator of broad psychopathological risk, linkage to neural mechanisms is imperative. Currently, there is inconsistency in the identification of neural circuits that underlie irritability in children, especially in social contexts. This study aimed to address this gap by utilizing a functional magnetic resonance imaging (fMRI) paradigm to investigate pediatric anger/frustration using social stimuli. METHODS Seventy-three children (M = 6 years, SD = 0.565) were recruited from a larger longitudinal study on irritability development. Caregivers completed questionnaires assessing irritable temperament and clinical symptoms of irritability. Children participated in a frustration task during fMRI scanning that was designed to induce frustration through loss of a desired prize to an animated character. Data were analyzed using both general linear modeling (GLM) and independent components analysis (ICA) and examined from the temperament and clinical perspectives. RESULTS ICA results uncovered an overarching network structure above and beyond what was revealed by traditional GLM analyses. Results showed that greater temperamental irritability was associated with significantly diminished spatial extent of activation and low-frequency power in a network comprised of the posterior superior temporal sulcus (pSTS) and the precuneus (p < .05, FDR-corrected). However, greater severity along the spectrum of clinical expression of irritability was associated with significantly increased extent and intensity of spatial activation as well as low- and high-frequency neural signal power in the right caudate (p < .05, FDR-corrected). CONCLUSIONS Our findings point to specific neural circuitry underlying pediatric irritability in the context of frustration using social stimuli. Results suggest that a deliberate focus on the construction of network-based neurodevelopmental profiles and social interaction along the normal:abnormal irritability spectrum is warranted to further identify comprehensive transdiagnostic substrates of the irritability.
Collapse
Affiliation(s)
- Khalil I Thompson
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| | - Clayton J Schneider
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| | - Justin A Lopez-Roque
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| | - Lauren S Wakschlag
- Department of Medical Social Sciences, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Helmet T Karim
- Department of Psychiatry, University of Pittsburg School of Medicine, Pittsburgh, PA, USA
| | - Susan B Perlman
- Department of Psychiatry, Washington University in St Louis School of Medicine, St Louis, MO, USA
| |
Collapse
|
2
|
Manto M, Adamaszek M, Apps R, Carlson E, Guarque-Chabrera J, Heleven E, Kakei S, Khodakhah K, Kuo SH, Lin CYR, Joshua M, Miquel M, Mitoma H, Larry N, Péron JA, Pickford J, Schutter DJLG, Singh MK, Tan T, Tanaka H, Tsai P, Van Overwalle F, Yamashiro K. Consensus Paper: Cerebellum and Reward. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01702-0. [PMID: 38769243 DOI: 10.1007/s12311-024-01702-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/06/2024] [Indexed: 05/22/2024]
Abstract
Cerebellum is a key-structure for the modulation of motor, cognitive, social and affective functions, contributing to automatic behaviours through interactions with the cerebral cortex, basal ganglia and spinal cord. The predictive mechanisms used by the cerebellum cover not only sensorimotor functions but also reward-related tasks. Cerebellar circuits appear to encode temporal difference error and reward prediction error. From a chemical standpoint, cerebellar catecholamines modulate the rate of cerebellar-based cognitive learning, and mediate cerebellar contributions during complex behaviours. Reward processing and its associated emotions are tuned by the cerebellum which operates as a controller of adaptive homeostatic processes based on interoceptive and exteroceptive inputs. Lobules VI-VII/areas of the vermis are candidate regions for the cortico-subcortical signaling pathways associated with loss aversion and reward sensitivity, together with other nodes of the limbic circuitry. There is growing evidence that the cerebellum works as a hub of regional dysconnectivity across all mood states and that mental disorders involve the cerebellar circuitry, including mood and addiction disorders, and impaired eating behaviors where the cerebellum might be involved in longer time scales of prediction as compared to motor operations. Cerebellar patients exhibit aberrant social behaviour, showing aberrant impulsivity/compulsivity. The cerebellum is a master-piece of reward mechanisms, together with the striatum, ventral tegmental area (VTA) and prefrontal cortex (PFC). Critically, studies on reward processing reinforce our view that a fundamental role of the cerebellum is to construct internal models, perform predictions on the impact of future behaviour and compare what is predicted and what actually occurs.
Collapse
Affiliation(s)
- Mario Manto
- Service de Neurologie, Médiathèque Jean Jacquy, CHU-Charleroi, 6000, Charleroi, Belgium.
- Service Des Neurosciences, Université de Mons, 7000, Mons, Belgium.
- Unité Des Ataxies Cérébelleuses, CHU-Charleroi, Service Des Neurosciences, University of Mons, 7000, Mons, Belgium.
| | - Michael Adamaszek
- Department of Clinical and Cognitive Neurorehabilitation, Klinik Bavaria Kreischa, 01731, Kreischa, Germany
| | - Richard Apps
- School of Physiology, Pharmacology & Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, BS8 1TD, UK
| | - Erik Carlson
- Department of Psychiatry and Behavioural Sciences, University of Washington, Seattle, WA, 98108, USA
- Geriatric Research, Education and Clinical Center, Veterans Affairs Puget Sound Health Care System, Seattle, WA, 98108, USA
| | - Julian Guarque-Chabrera
- Área de Psicobiología, Facultat de Ciències de La Salut, Universitat Jaume I, 12071, Castellón de La Plana, Spain
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, 10461, USA
| | - Elien Heleven
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050, Brussels, Belgium
| | - Shinji Kakei
- Department of Anatomy and Physiology, Jissen Women's University, Tokyo, 191-8510, Japan
| | - Kamran Khodakhah
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, 10461, USA
| | - Sheng-Han Kuo
- Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
- Initiative of Columbia Ataxia and Tremor, Columbia University Medical Center, New York, NY, 10032, USA
| | - Chi-Ying R Lin
- Alzheimer's Disease and Memory Disorders Center, Department of Neurology, Baylor College of Medicine, Houston, 77030 TX, USA
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, 77030 TX, USA
| | - Mati Joshua
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
| | - Marta Miquel
- Área de Psicobiología, Facultat de Ciències de La Salut, Universitat Jaume I, 12071, Castellón de La Plana, Spain
- Dominick Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, 10461, USA
| | - Hiroshi Mitoma
- Department of Medical Education, Tokyo Medical University, Tokyo, 160-8402, Japan
| | - Noga Larry
- Edmond and Lily Safra Center for Brain Sciences, The Hebrew University, Jerusalem, Israel
| | - Julie Anne Péron
- Clinical and Experimental Neuropsychology Laboratory, Department of Psychology and Educational Sciences, University of Geneva, 1205, Geneva, Switzerland
| | - Jasmine Pickford
- School of Physiology, Pharmacology & Neuroscience, Faculty of Life Sciences, University of Bristol, Bristol, BS8 1TD, UK
| | - Dennis J L G Schutter
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Heidelberglaan 1, 3584 CS, Utrecht, The Netherlands
| | - Manpreet K Singh
- Psychiatry and Behavioral Sciences, University of California Davis, 2230 Stockton Blvd, Sacramento, CA, 95817, USA
| | - Tommy Tan
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, 75235, USA
| | - Hirokazu Tanaka
- Faculty of Information Technology, Tokyo City University, Tokyo, 158-8557, Japan
| | - Peter Tsai
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, 75235, USA
- Departments of Neuroscience, Pediatrics, Psychiatry, UT Southwestern Medical Center, Dallas, TX, 75235, USA
| | - Frank Van Overwalle
- Faculty of Psychology and Center for Neuroscience, Vrije Universiteit Brussel, 1050, Brussels, Belgium
| | - Kunihiko Yamashiro
- Department of Neurology, UT Southwestern Medical Center, Dallas, TX, 75235, USA
| |
Collapse
|
3
|
Jiang X, Sultan AA, Dimick MK, Zai CC, Kennedy JL, MacIntosh BJ, Goldstein BI. The association of genetic variation in CACNA1C with resting-state functional connectivity in youth bipolar disorder. Int J Bipolar Disord 2023; 11:3. [PMID: 36637564 PMCID: PMC9839925 DOI: 10.1186/s40345-022-00281-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 12/13/2022] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND CACNA1C rs1006737 A allele, identified as a genetic risk variant for bipolar disorder (BD), is associated with anomalous functional connectivity in adults with and without BD. Studies have yet to investigate the association of CACNA1C rs1006737 with resting-state functional connectivity (rsFC) in youth BD. METHODS Participants included 139 youth with BD-I, -II, or -not otherwise specified, ages 13-20 years, including 27 BD A-carriers, 41 BD non-carriers, 32 healthy controls (HC) A-carriers, and 39 HC non-carriers. Anterior cingulate cortex (ACC), amygdala, and orbitofrontal cortex (OFC) were examined as regions-of-interest in seed-to-voxel analyses. General linear models included main effects of diagnosis and rs1006737, and an interaction term, controlling for age, sex, and race. RESULTS We observed a main effect of BD diagnosis on rsFC between the right amygdala and the right occipital pole (p = 0.02), and a main effect of rs1006737 genotypes on rsFC between the right OFC and bilateral occipital cortex (p < 0.001). Two significant BD diagnosis-by-CACNA1C rs1006737 interactions were also identified. The A allele was associated with positive rsFC between the right ACC and right amygdala in BD but negative rsFC in HC (p = 0.01), and negative rsFC between the left OFC and left putamen in BD but positive rsFC in HC (p = 0.01). CONCLUSION This study found that the rs1006737 A allele, identified as a genetic risk variant for BD in adults, was differentially associated with rsFC in youth with BD in regions relevant to emotion, executive function, and reward. Future task-based approaches are warranted to better understand brain connectivity in relation to CACNA1C in BD.
Collapse
Affiliation(s)
- Xinyue Jiang
- grid.155956.b0000 0000 8793 5925Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON Canada
| | - Alysha A. Sultan
- grid.155956.b0000 0000 8793 5925Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON Canada
| | - Mikaela K. Dimick
- grid.155956.b0000 0000 8793 5925Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON Canada
| | - Clement C. Zai
- grid.155956.b0000 0000 8793 5925Tanenbaum Centre for Pharmacogenetics, Psychiatric Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, Canada
| | - James L. Kennedy
- grid.155956.b0000 0000 8793 5925Tanenbaum Centre for Pharmacogenetics, Psychiatric Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Bradley J. MacIntosh
- grid.17063.330000 0001 2157 2938Heart and Stroke Foundation, Canadian Partnership for Stroke Recovery, Sunnybrook Research Institute, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Medical Biophysics, University of Toronto, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON Canada
| | - Benjamin I. Goldstein
- grid.155956.b0000 0000 8793 5925Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, Canada
| |
Collapse
|
4
|
Goldman DA, Sankar A, Rich A, Kim JA, Pittman B, Constable RT, Scheinost D, Blumberg HP. A graph theory neuroimaging approach to distinguish the depression of bipolar disorder from major depressive disorder in adolescents and young adults. J Affect Disord 2022; 319:15-26. [PMID: 36103935 PMCID: PMC9669784 DOI: 10.1016/j.jad.2022.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/03/2022] [Accepted: 09/09/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND Markers to differentiate depressions of bipolar disorder (BD-Dep) from depressions of major depressive disorder (MDD-Dep), and for more targeted treatments, are critically needed to decrease current high rates of misdiagnosis that can lead to ineffective or potentially deleterious treatments. Distinguishing, and specifically treating the depressions, during the adolescent/young adult epoch is especially important to decrease illness progression and improve prognosis, and suicide, as it is the epoch when suicide thoughts and behaviors often emerge. With differences in functional connectivity patterns reported when BD-Dep and MDD-Dep have been studied separately, this study used a graph theory approach aimed to identify functional connectivity differences in their direct comparison. METHODS Functional magnetic resonance imaging whole-brain functional connectivity (Intrinsic Connectivity Distribution, ICD) measures were compared across adolescents/young adults with BD-Dep (n = 28), MDD-Dep (n = 20) and HC (n = 111). Follow-up seed-based connectivity was conducted on regions of significant ICD differences. Relationships with demographic and clinical measures were assessed. RESULTS Compared to the HC group, both the BD-Dep and MDD-Dep groups exhibited left-sided frontal, insular, and medial temporal ICD increases. The BD-Dep group had additional right-sided ICD increases in frontal, basal ganglia, and fusiform areas. In seed-based analyses, the BD-Dep group exhibited increased interhemispheric functional connectivity between frontal areas not seen in the MDD-Dep group. LIMITATIONS Modest sample size; medications not studied systematically. CONCLUSIONS This study supports bilateral and interhemispheric functional dysconnectivity as features of BD-Dep that may differentiate it from MDD-Dep in adolescents/young adults and serve as a target for early diagnosis and treatment strategies.
Collapse
Affiliation(s)
- Danielle A Goldman
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Anjali Sankar
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Neurology and Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Alexandra Rich
- Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Jihoon A Kim
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Brian Pittman
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - R Todd Constable
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Dustin Scheinost
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America
| | - Hilary P Blumberg
- Department of Psychiatry, Yale School of Medicine, New Haven, CT 06511, United States of America; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT 06511, United States of America; Child Study Center, Yale School of Medicine, New Haven, CT 06511, United States of America.
| |
Collapse
|
5
|
Xie H, Cao Y, Long X, Xiao H, Wang X, Qiu C, Jia Z. A comparative study of gray matter volumetric alterations in adults with attention deficit hyperactivity disorder and bipolar disorder type I. J Psychiatr Res 2022; 155:410-419. [PMID: 36183596 DOI: 10.1016/j.jpsychires.2022.09.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 07/29/2022] [Accepted: 09/16/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND Attention deficit hyperactivity disorder (ADHD) and bipolar disorder type I (BD-Ι) share great overlapping symptoms and are highly comorbid. We aimed to compare and obtain the common and distinct gray matter volume (GMV) patterns in adult patients. METHOD We searched four databases to include whole-brain voxel-based morphometry studies and compared the GMV patterns between ADHD and healthy controls (HCs), between BD-I and HCs, and between ADHD and BD-I using anisotropic effect-size signed differential mapping software. RESULTS We included 677 ADHD and 452 BD-Ι patients. Compared with HCs, ADHD patients showed smaller GMV in the anterior cingulate cortex (ACC) and supramarginal gyrus but a larger caudate nucleus. Compared with HCs, BD-Ι patients showed smaller GMV in the orbitofrontal cortex, parahippocampal gyrus, and amygdala. No common GMV alterations were found, whereas ADHD showed the smaller ACC and larger amygdala relative to BD-Ι. Subgroup analyses revealed the larger insula in manic patients, which was positively associated with the Young Mania Rating Scale. The decreased median cingulate cortex (MCC) was positively associated with the ages in ADHD, whereas the MCC was negatively associated with the ages in BD-Ι. LIMITATIONS All included data were cross-sectional; Potential effects of medication and disease course were not analyzed due to the limited data. CONCLUSIONS ADHD showed altered GMV in the frontal-striatal frontal-parietal circuits, and BD-Ι showed altered GMV in the prefrontal-amygdala circuit. These findings could contribute to a better understanding of the neuropathology of the two disorders.
Collapse
Affiliation(s)
- Hongsheng Xie
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Hongqi Xiao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiuli Wang
- Department of Psychiatry, The Fourth People's Hospital of Chengdu, Chengdu, 610041, China
| | - Changjian Qiu
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, 610041, China.
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, China.
| |
Collapse
|
6
|
Qi Z, Wang J, Gong J, Su T, Fu S, Huang L, Wang Y. Common and specific patterns of functional and structural brain alterations in schizophrenia and bipolar disorder: a multimodal voxel-based meta-analysis. J Psychiatry Neurosci 2022; 47:E32-E47. [PMID: 35105667 PMCID: PMC8812718 DOI: 10.1503/jpn.210111] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/12/2021] [Accepted: 11/16/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Schizophrenia and bipolar disorder have been linked to alterations in the functional activity and grey matter volume of some brain areas, reflected in impaired regional homogeneity and aberrant voxel-based morphometry. However, because of variable findings and methods used across studies, identifying patterns of brain alteration in schizophrenia and bipolar disorder has been difficult. METHODS We conducted a meta-analysis of differences in regional homogeneity and voxel-based morphometry between patients and healthy controls for schizophrenia and bipolar disorder separately, using seed-based d mapping. RESULTS We included 45 publications on regional homogeneity (26 in schizophrenia and 19 in bipolar disorder) and 190 publications on voxel-based morphometry (120 in schizophrenia and 70 in bipolar disorder). Patients with schizophrenia showed increased regional homogeneity in the frontal cortex and striatum and the supplementary motor area; they showed decreased regional homogeneity in the insula, primary sensory cortex (visual and auditory cortices) and sensorimotor cortex. Patients with bipolar disorder showed increased regional homogeneity in the frontal cortex and striatum; they showed decreased regional homogeneity in the insula. Patients with schizophrenia showed decreased grey matter volume in the superior temporal gyrus, inferior frontal gyrus, cingulate cortex and cerebellum. Patients with bipolar disorder showed decreased grey matter volume in the insula, cingulate cortex, frontal cortex and thalamus. Overlap analysis showed that patients with schizophrenia displayed decreased regional homogeneity and grey matter volume in the left insula and left superior temporal gyrus; patients with bipolar disorder displayed decreased regional homogeneity and grey matter volume in the left insula. LIMITATIONS The small sample size for our subgroup analysis (unmedicated versus medicated patients and substantial heterogeneity in the results for some regions could limit the interpretability and generalizability of the results. CONCLUSION Patients with schizophrenia and bipolar disorder shared a common pattern of regional functional and structural alterations in the insula and frontal cortex. Patients with schizophrenia showed more widespread functional and structural impairment, most prominently in the primary sensory motor areas.
Collapse
Affiliation(s)
| | - Junjing Wang
- From the Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China (Qi, Su, Fu, Huang, Y. Wang); the Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China (Qi, Su, Fu, Huang, Y. Wang); the Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, China (J. Wang); and the Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou, China (Gong)
| | | | | | | | | | | |
Collapse
|
7
|
Gao W, Cui D, Jiao Q, Su L, Lu G, Yang R. Altered spatiotemporal consistency in pediatric bipolar disorder patients with and without psychotic symptoms. BMC Psychiatry 2021; 21:506. [PMID: 34654382 PMCID: PMC8518299 DOI: 10.1186/s12888-021-03524-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 10/07/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVE Psychotic symptoms are quite common in patients with pediatric bipolar disorder (PBD) and may affect the symptom severity and prognosis of PBD. However, the potential mechanisms are less well elucidated until now. Thus, the purpose of this study was to investigate the brain functional differences between PBD patients with and without psychotic symptoms. METHOD A total of 71 individuals including: 27 psychotic PBD (P-PBD), 25 nonpsychotic PBD (NP-PBD), and 19 healthy controls were recruited in the present study. Each subject underwent 3.0 Tesla functional magnetic resonance imaging scan. Four-dimensional (spatiotemporal) Consistency of local neural Activities (FOCA) was employed to detect the local brain activity changes. Analyses of variance (ANOVA) were used to reveal brain regions with significant differences among three groups groups of individuals, and inter-group comparisons were assessed using post hoc tests. RESULTS The ANOVA obtained significant among-group FOCA differences in the left triangular inferior frontal gyrus, left supplementary motor area, left precentral gyrus, right postcentral gyrus, right superior occipital gyrus, and right superior frontal gyrus. Compared with the control group, the P-PBD group showed decreased FOCA in the left supplementary motor area and bilateral superior frontal gyrus and showed increased FOCA in the left triangular inferior frontal gyrus. In contrast, the NP-PBD group exhibited decreased FOCA in the right superior occipital gyrus and right postcentral gyrus and showed increased FOCA in the left orbital inferior frontal gyrus. Compared to the NP-PBD group, the P-PBD group showed decreased FOCA in the right superior frontal gyrus. CONCLUSION The present findings demonstrated that the two groups of PBD patients exhibited segregated brain functional patterns, providing empirical evidence for the biological basis of different clinical outcomes between PBD patients with and without psychotic symptoms.
Collapse
Affiliation(s)
- Weijia Gao
- grid.13402.340000 0004 1759 700XDepartment of Child Psychology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, No. 3333 Binsheng Road, Zhejiang, Hangzhou China
| | - Dong Cui
- grid.506261.60000 0001 0706 7839Institute of Biomedical Engineering, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, China
| | - Qing Jiao
- Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an, Shandong China
| | - Linyan Su
- Mental Health Institute, The Second Xiangya Hospital of Central South University, Key Laboratory of Psychiatry and Mental Health of Hunan Province, National Technology Institute of Psychiatry, Changsha, Hunan China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, 305 Zhongshan East Road, Nanjing, Jiangsu, China.
| | - Rongwang Yang
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, No. 3333 Binsheng Road, Zhejiang, Hangzhou, China.
| |
Collapse
|
8
|
Nielsen AN, Wakschlag LS, Norton ES. Linking irritability and functional brain networks: A transdiagnostic case for expanding consideration of development and environment in RDoC. Neurosci Biobehav Rev 2021; 129:231-244. [PMID: 34302863 PMCID: PMC8802626 DOI: 10.1016/j.neubiorev.2021.07.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 07/14/2021] [Accepted: 07/17/2021] [Indexed: 01/13/2023]
Abstract
The National Institute of Mental Health Research Domain Criteria (RDoC) framework promotes the dimensional and transdiagnostic operationalization of psychopathology, but consideration of the neurodevelopmental foundations of mental health problems requires deeper examination. Irritability, the dispositional tendency to angry emotion that has both mood and behavioral elements, is dimensional, transdiagnostic, and observable early in life-a promising target for the identification of early neural indicators or risk factors for psychopathology. Here, we examine functional brain networks linked to irritability from preschool to adulthood and discuss how development and early experience may influence these neural substrates. Functional connectivity measured with fMRI varies according to irritability and indicates the atypical coordination of several functional networks involved in emotion generation, emotion perception, attention, internalization, and cognitive control. We lay out an agenda to improve our understanding and detection of atypical brain:behavior patterns through advances in the characterization of both functional networks and irritability as well as the consideration and operationalization of developmental and early life environmental influences on this pathway.
Collapse
Affiliation(s)
- Ashely N Nielsen
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, United States; Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, United States.
| | - Lauren S Wakschlag
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, United States; Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, United States
| | - Elizabeth S Norton
- Institute for Innovations in Developmental Sciences, Northwestern University, Chicago, IL, United States; Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States
| |
Collapse
|
9
|
Zhang M, Liu S, Wang S, Xu Y, Chen L, Shao Z, Wen X, Yang W, Liu J, Yuan K. Reduced thalamic resting-state functional connectivity and impaired cognition in acute abstinent heroin users. Hum Brain Mapp 2021; 42:2077-2088. [PMID: 33459459 PMCID: PMC8046054 DOI: 10.1002/hbm.25346] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/05/2021] [Accepted: 01/07/2021] [Indexed: 12/13/2022] Open
Abstract
As a critical component of cortico-striato-thalamo-cortical loop in addiction, our understanding of the thalamus in impaired cognition of heroin users (HU) has been limited. Due to the complex thalamic connection with cortical and subcortical regions, thalamus was divided into prefrontal (PFC), occipital (OC), premotor, primary motor, sensory, temporal, and posterior parietal association subregions according to white matter tractography. We adopted seven subregions of bilateral thalamus as regions of interest to systematically study the implications of distinct thalamic nuclei in acute abstinent HU. The volume and resting-state functional connectivity (RSFC) differences of the thalamus were investigated between age-, gender-, and alcohol-matched 37 HU and 33 healthy controls (HCs). Trail making test-A (TMT-A) was adopted to assess cognitive function deficits, which were then correlated with neuroimaging findings. Although no significant different volumes were found, HU group showed decreased RSFC between left PFC_thalamus and middle temporal gyrus as well as between left OC_thalamus and inferior frontal gyrus and supplementary motor area relative to HCs. Meanwhile, the higher TMT-A scores in HU were negatively correlated with PFC_thalamic RSFC with inferior temporal gyrus, fusiform, and precuneus. Craving scores were negatively correlated with OC_thalamic RSFC with accumbens, hippocampus, and insula. Opiate Withdrawal Scale scores were negatively correlated with left PFC/OC_thalamic RSFC with orbitofrontal cortex and medial PFC. We indicated two thalamus subregions separately involvement in cognitive control and craving to reveal the implications of thalamic subnucleus in pathology of acute abstinent HU.
Collapse
Affiliation(s)
- Min Zhang
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Shuang Liu
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Shicong Wang
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Yan Xu
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Longmao Chen
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Ziqiang Shao
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Xinwen Wen
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| | - Wenhan Yang
- Department of RadiologySecond Xiangya Hospital, Central South UniversityChangshaChina
| | - Jun Liu
- Department of RadiologySecond Xiangya Hospital, Central South UniversityChangshaChina
| | - Kai Yuan
- School of Life Science and TechnologyXidian UniversityXi'anShaanxiPeople's Republic of China
- Engineering Research Center of Molecular and Neuro Imaging Ministry of EducationXi'anPeople's Republic of China
| |
Collapse
|