Research Progress of Magnetic Resonance Imaging in Adolescent Depression
Journal: Journal of Clinical Medicine Research DOI: 10.32629/jcmr.v7i1.5082
Abstract
Depression is a major cause of disability and death among adolescents. The pathogenesis of depression is still unclear, and in recent years, the application of magnetic resonance imaging technology has allowed us to gain insight into the changes in depression at the neurological level; In order to further reveal the complexity of adolescent depression, this paper aims to collect the literature on adolescent depression by applying functional magnetic resonance imaging and structural magnetic resonance imaging methods, and to briefly discuss the relevant research results.
Keywords
adolescent depression; magnetic resonance imaging; functional magnetic resonance; structural magnetic resonance; review
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[1] CHAO S. Overview of Depression. Emergency Medicine Clinics of North America. 2024; 42(1): 105-113.
[2] MATHERS C D, LONCAR D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Medicine. 2006; 3(11): e442.
[3] STEINBERG L, DAHL R, KEATING D, et al. The Study of Developmental Psychopathology in Adolescence: Integrating Affective Neuroscience with the Study of Context. Developmental Psychopathology. 2015: 710-741.
[4] RAO W W, XU D D, CAO X L, et al. Prevalence of depressive symptoms in children and adolescents in China: A meta-analysis of observational studies. Psychiatry Research. 2019; 272: 790-796.
[5] CHEN Z, REN S, HE R, et al. Prevalence and associated factors of depressive and anxiety symptoms among Chinese secondary school students. BMC Psychiatry. 2023; 23(1): 580.
[6] PORTOGALLO H J, SKVARC D R, SHORE L A, et al. Consequence of child and adolescent depressive symptom trajectories for adult depressive disorders and symptoms: A systematic review and meta-analysis. Journal of Affective Disorders. 2024; 363: 643-652.
[7] SHAO J, GOTTS S J, LI T L, et al. FunMaps: a method for parcellating functional brain networks using resting-state functional MRI data. Frontiers in Human Neuroscience. 2024; 18: 1461590.
[8] LAUMANN T O, SNYDER A Z, MITRA A, et al. On the stability of BOLD fMRI correlations. Cerebral Cortex. 2016; 27(10).
[9] P regenual Anterior Cingulate Dysfunction Associated with Depression in OCD: An Integrated Multimodal fMRI/1H MRS Study. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854805/[Accessed 23 September 2024].
[10] CHI S, SONG M, LEE J H, et al. Prospective study on resting state functional connectivity in adolescents with major depressive disorder after antidepressant treatment. Journal of Psychiatric Research. 2021; 142: 369-375.
[11] LIU M, HUANG Y, LI X, et al. Aberrant frontolimbic circuit in female depressed adolescents with and without suicidal attempts: A resting-state functional magnetic resonance imaging study. Frontiers in Psychiatry. 2022; 13: 1007144.
[12] CULLEN K R, GEE D G, KLIMES-DOUGAN B, et al. A preliminary study of functional connectivity in comorbid adolescent depression. Neuroscience Letters. 2009; 460(3): 227-231.
[13] PANNEKOEK J N, VAN DER WERFF S J A, MEENS P H F, et al. Aberrant resting-state functional connectivity in limbic and salience networks in treatment-naïve clinically depressed adolescents. Journal of Child Psychology and Psychiatry. 2014; 55(12): 1317-1327.
[14] ZHANG S, CHEN J M, KUANG L, et al. Association between abnormal default mode network activity and suicidality in depressed adolescents. BMC Psychiatry. 2016; 16(1): 337.
[15] SARIS I M J, PENNINX B W J H, DINGA R, et al. Default mode network connectivity and social dysfunction in major depressive disorder. Scientific Reports. 2020; 10(1): 194.
[16] RAPPAPORT B I, KANDALA S, LUBY J L, et al. Brain reward system dysfunction in adolescence: Current, cumulative, and developmental periods of depression. American Journal of Psychiatry. 2020; 177(8): 754-763.
[17] LIU Q, ELY B A, STERN E R, et al. Neural function underlying reward expectancy and attainment in adolescents with diverse psychiatric symptoms. NeuroImage: Clinical. 2022; 36: 103258.
[18] ELY B A, NGUYEN T N B, TOBE R H, et al. Multimodal investigations of reward circuitry and anhedonia in adolescent depression. Frontiers in Psychiatry. 2021; 12: 678709.
[19] HENJE BLOM E, CONNOLLY C G, HO T C, et al. Altered insular activation and increased insular functional connectivity during sad and happy face processing in adolescent major depressive disorder. Journal of Affective Disorders. 2015; 178: 215-223.
[20] LIU Q, ELY B A, SCHWARTZ J J, et al. Reward function as an outcome predictor in youth with mood and anxiety symptoms. Journal of Affective Disorders. 2021; 278: 433-442.
[21] PU J, YU Y, LIU Y, et al. MENDA: a comprehensive curated resource of metabolic characterization in depression. Briefings in Bioinformatics. 2019; 21(4): 1455.
[22] PU J, YU Y, LIU Y, et al. ProMENDA: an updated resource for proteomic and metabolomic characterization in depression. Translational Psychiatry. 2024; 14(1): 229.
[23] YANG X, LANGEVIN L M, JAWORSKA N, et al. Proton spectroscopy study of the dorsolateral prefrontal cortex in youth with familial depression. Psychiatry and Clinical Neurosciences. 2016; 70(7): 269-277.
[24] BRADLEY K A, ALONSO C M, MEHRA L M, et al. Elevated striatal γ-aminobutyric acid in youth with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2018; 86: 203-210.
[25] LV S, ZHONG S, ZHANG S, et al. Correlations between facial emotion processing and biochemical abnormalities in untreated adolescent patients with major depressive disorder. Journal of Affective Disorders. 2022; 296: 408-417.
[26] SONMEZ A I, LEWIS C P, PORT J D, et al. A pilot spectroscopy study of adversity in adolescents. Biomarkers in Neuropsychiatry. 2021; 5: 100043.
[27] LEWIS C P, PORT J D, BLACKER C J, et al. Altered anterior cingulate glutamatergic metabolism in depressed adolescents with current suicidal ideation. Translational Psychiatry. 2020; 10(1): 119.
[28] SONMEZ A I, LEWIS C P, PORT J D, et al. Glutamatergic correlates of bipolar symptoms in adolescents. Journal of Child and Adolescent Psychopharmacology. 2020; 30(10): 599-605.
[29] CHABERT J, ALLAUZE E, PEREIRA B, et al. Glutamatergic and N-acetylaspartate metabolites in bipolar disorder: A systematic review and meta-analysis of proton magnetic resonance spectroscopy studies. International Journal of Molecular Sciences. 2022; 23(16): 8974.
[30] JAAFAR N, ALSOP D C. Arterial spin labeling: Key concepts and progress towards use as a clinical tool. Magnetic Resonance in Medical Sciences. 2024; 23(3): 352-366.
[31] TASO M, ALSOP D C. Arterial spin labeling perfusion imaging. Magnetic Resonance Imaging Clinics of North America. 2024; 32(1): 63-72.
[32] TELISCHAK N A, DETRE J A, ZAHARCHUK G. Arterial spin labeling MRI: Clinical applications in the brain. Journal of Magnetic Resonance Imaging. 2015; 41(5): 1165-1180.
[33] COOPER C M, CHIN FATT C R, LIU P, et al. Discovery and replication of cerebral blood flow differences in major depressive disorder. Molecular Psychiatry. 2020; 25(7): 1500-1510.
[34] XIONG Y, CHEN R S, WANG X Y, et al. Cerebral blood flow in adolescents with drug-naive, first-episode major depressive disorder: An arterial spin labeling study based on voxel-level whole-brain analysis. Frontiers in Neuroscience. 2022; 16: 966087.
[35] ZHANG N, QIN J, YAN J, et al. Increased ASL-CBF in the right amygdala predicts the first onset of depression in healthy young first-degree relatives of patients with major depression. Journal of Cerebral Blood Flow & Metabolism. 2020; 40(1): 54-66.
[36] YU R Q, ZHANG Z J, CHEN R S, et al. Electroconvulsive therapy-induced neuroimaging alterations measured by cerebral blood flow in adolescents with major depressive disorder. Journal of Affective Disorders. 2023; 327: 385-390.
[37] GOTO M, ABE O, HAGIWARA A, et al. Advantages of using both voxel- and surface-based morphometry in cortical morphology analysis: A review of various applications. Magnetic Resonance in Medical Sciences. 2022; 21(1): 41-57.
[38] LI X, CHEN X, YU R, et al. Changes in gray matter volume following electroconvulsive therapy in adolescent depression with suicidal ideation: A longitudinal structural magnetic resonance imaging study. Frontiers in Psychiatry. 2022; 13: 944520.
[39] LONG X, LI L, WANG X, et al. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. Journal of Affective Disorders. 2023; 325: 550-563.
[40] PAGLIACCIO D, ALQUEZA K L, MARSH R, et al. Brain volume abnormalities in youth at high risk for depression: Adolescent brain and cognitive development study. Journal of the American Academy of Child and Adolescent Psychiatry. 2019; 59(10): 1178.
[41] BASHFORD-LARGO J, BLAIR R J R, BLAIR K S, et al. Identification of structural brain alterations in adolescents with depressive symptomatology. Brain Research Bulletin. 2023; 201: 110723.
[42] FU Y J, LIU X, WANG X Y, et al. Abnormal volumetric brain morphometry and cerebral blood flow in adolescents with depression. World Journal of Psychiatry. 2023; 13(6): 386-396.
[43] SHEN X, MACSWEENEY N, CHAN S W Y, et al. Brain structural associations with depression in a large early adolescent sample (the ABCD study). eClinicalMedicine. 2021; 42: 101204.
[44] HO T C, GUTMAN B, POZZI E, et al. Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group. Human Brain Mapping. 2022; 43(1): 341-351.
[45] NIELSEN J D, CASE J A C, DIVERS R M, et al. Trajectories of depressive symptoms through adolescence as predictors of cortical thickness in the orbitofrontal cortex: An examination of sex differences. Psychiatry Research: Neuroimaging. 2020; 303: 111132.
[46] FOWLER C H, GAFFREY M S. Reduced cortical surface area globally and in reward-related cortex is associated with elevated depressive symptoms in preschoolers. Journal of Affective Disorders. 2022; 319: 286-293.
[47] LE BIHAN D. From Brownian motion to virtual biopsy: A historical perspective from 40 years of diffusion MRI. Japanese Journal of Radiology. 2024.
[48] CONTE S, ZIMMERMAN D, RICHARDS J E. White matter trajectories over the lifespan. PLoS ONE. 2024; 19(5): e0301520.
[49] ZHOU L, WANG L, WANG M, et al. Alterations in white matter microarchitecture in adolescents and young adults with major depressive disorder: A voxel-based meta-analysis of diffusion tensor imaging. Psychiatry Research: Neuroimaging. 2022; 323: 111482.
[50] RADOEVA P D, MILEV V T, HUNT J I, et al. White matter microstructural organization in adolescents with depression: A systematic review. JAACAP Open. 2023; 1(4): 233-245.
[51] PING L, XU J, ZHOU C, et al. Tryptophan hydroxylase-2 polymorphism is associated with white matter integrity in first-episode, medication-naïve major depressive disorder patients. Psychiatry Research: Neuroimaging. 2019; 286: 4-10.
[52] JIANG L, SHEN Z, CHENG Y, et al. Elevated serum neurofilament levels in young first-episode and medication-naïve major depressive disorder patients with alterative white matter integrity. Psychiatry Research: Neuroimaging. 2021; 317: 111351.
[53] BARCH D M, HUA X, KANDALA S, et al. White matter alterations associated with lifetime and current depression in adolescents: Evidence for cingulum disruptions. Depression and Anxiety. 2022; 39(12): 881-890.
[2] MATHERS C D, LONCAR D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Medicine. 2006; 3(11): e442.
[3] STEINBERG L, DAHL R, KEATING D, et al. The Study of Developmental Psychopathology in Adolescence: Integrating Affective Neuroscience with the Study of Context. Developmental Psychopathology. 2015: 710-741.
[4] RAO W W, XU D D, CAO X L, et al. Prevalence of depressive symptoms in children and adolescents in China: A meta-analysis of observational studies. Psychiatry Research. 2019; 272: 790-796.
[5] CHEN Z, REN S, HE R, et al. Prevalence and associated factors of depressive and anxiety symptoms among Chinese secondary school students. BMC Psychiatry. 2023; 23(1): 580.
[6] PORTOGALLO H J, SKVARC D R, SHORE L A, et al. Consequence of child and adolescent depressive symptom trajectories for adult depressive disorders and symptoms: A systematic review and meta-analysis. Journal of Affective Disorders. 2024; 363: 643-652.
[7] SHAO J, GOTTS S J, LI T L, et al. FunMaps: a method for parcellating functional brain networks using resting-state functional MRI data. Frontiers in Human Neuroscience. 2024; 18: 1461590.
[8] LAUMANN T O, SNYDER A Z, MITRA A, et al. On the stability of BOLD fMRI correlations. Cerebral Cortex. 2016; 27(10).
[9] P regenual Anterior Cingulate Dysfunction Associated with Depression in OCD: An Integrated Multimodal fMRI/1H MRS Study. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5854805/[Accessed 23 September 2024].
[10] CHI S, SONG M, LEE J H, et al. Prospective study on resting state functional connectivity in adolescents with major depressive disorder after antidepressant treatment. Journal of Psychiatric Research. 2021; 142: 369-375.
[11] LIU M, HUANG Y, LI X, et al. Aberrant frontolimbic circuit in female depressed adolescents with and without suicidal attempts: A resting-state functional magnetic resonance imaging study. Frontiers in Psychiatry. 2022; 13: 1007144.
[12] CULLEN K R, GEE D G, KLIMES-DOUGAN B, et al. A preliminary study of functional connectivity in comorbid adolescent depression. Neuroscience Letters. 2009; 460(3): 227-231.
[13] PANNEKOEK J N, VAN DER WERFF S J A, MEENS P H F, et al. Aberrant resting-state functional connectivity in limbic and salience networks in treatment-naïve clinically depressed adolescents. Journal of Child Psychology and Psychiatry. 2014; 55(12): 1317-1327.
[14] ZHANG S, CHEN J M, KUANG L, et al. Association between abnormal default mode network activity and suicidality in depressed adolescents. BMC Psychiatry. 2016; 16(1): 337.
[15] SARIS I M J, PENNINX B W J H, DINGA R, et al. Default mode network connectivity and social dysfunction in major depressive disorder. Scientific Reports. 2020; 10(1): 194.
[16] RAPPAPORT B I, KANDALA S, LUBY J L, et al. Brain reward system dysfunction in adolescence: Current, cumulative, and developmental periods of depression. American Journal of Psychiatry. 2020; 177(8): 754-763.
[17] LIU Q, ELY B A, STERN E R, et al. Neural function underlying reward expectancy and attainment in adolescents with diverse psychiatric symptoms. NeuroImage: Clinical. 2022; 36: 103258.
[18] ELY B A, NGUYEN T N B, TOBE R H, et al. Multimodal investigations of reward circuitry and anhedonia in adolescent depression. Frontiers in Psychiatry. 2021; 12: 678709.
[19] HENJE BLOM E, CONNOLLY C G, HO T C, et al. Altered insular activation and increased insular functional connectivity during sad and happy face processing in adolescent major depressive disorder. Journal of Affective Disorders. 2015; 178: 215-223.
[20] LIU Q, ELY B A, SCHWARTZ J J, et al. Reward function as an outcome predictor in youth with mood and anxiety symptoms. Journal of Affective Disorders. 2021; 278: 433-442.
[21] PU J, YU Y, LIU Y, et al. MENDA: a comprehensive curated resource of metabolic characterization in depression. Briefings in Bioinformatics. 2019; 21(4): 1455.
[22] PU J, YU Y, LIU Y, et al. ProMENDA: an updated resource for proteomic and metabolomic characterization in depression. Translational Psychiatry. 2024; 14(1): 229.
[23] YANG X, LANGEVIN L M, JAWORSKA N, et al. Proton spectroscopy study of the dorsolateral prefrontal cortex in youth with familial depression. Psychiatry and Clinical Neurosciences. 2016; 70(7): 269-277.
[24] BRADLEY K A, ALONSO C M, MEHRA L M, et al. Elevated striatal γ-aminobutyric acid in youth with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2018; 86: 203-210.
[25] LV S, ZHONG S, ZHANG S, et al. Correlations between facial emotion processing and biochemical abnormalities in untreated adolescent patients with major depressive disorder. Journal of Affective Disorders. 2022; 296: 408-417.
[26] SONMEZ A I, LEWIS C P, PORT J D, et al. A pilot spectroscopy study of adversity in adolescents. Biomarkers in Neuropsychiatry. 2021; 5: 100043.
[27] LEWIS C P, PORT J D, BLACKER C J, et al. Altered anterior cingulate glutamatergic metabolism in depressed adolescents with current suicidal ideation. Translational Psychiatry. 2020; 10(1): 119.
[28] SONMEZ A I, LEWIS C P, PORT J D, et al. Glutamatergic correlates of bipolar symptoms in adolescents. Journal of Child and Adolescent Psychopharmacology. 2020; 30(10): 599-605.
[29] CHABERT J, ALLAUZE E, PEREIRA B, et al. Glutamatergic and N-acetylaspartate metabolites in bipolar disorder: A systematic review and meta-analysis of proton magnetic resonance spectroscopy studies. International Journal of Molecular Sciences. 2022; 23(16): 8974.
[30] JAAFAR N, ALSOP D C. Arterial spin labeling: Key concepts and progress towards use as a clinical tool. Magnetic Resonance in Medical Sciences. 2024; 23(3): 352-366.
[31] TASO M, ALSOP D C. Arterial spin labeling perfusion imaging. Magnetic Resonance Imaging Clinics of North America. 2024; 32(1): 63-72.
[32] TELISCHAK N A, DETRE J A, ZAHARCHUK G. Arterial spin labeling MRI: Clinical applications in the brain. Journal of Magnetic Resonance Imaging. 2015; 41(5): 1165-1180.
[33] COOPER C M, CHIN FATT C R, LIU P, et al. Discovery and replication of cerebral blood flow differences in major depressive disorder. Molecular Psychiatry. 2020; 25(7): 1500-1510.
[34] XIONG Y, CHEN R S, WANG X Y, et al. Cerebral blood flow in adolescents with drug-naive, first-episode major depressive disorder: An arterial spin labeling study based on voxel-level whole-brain analysis. Frontiers in Neuroscience. 2022; 16: 966087.
[35] ZHANG N, QIN J, YAN J, et al. Increased ASL-CBF in the right amygdala predicts the first onset of depression in healthy young first-degree relatives of patients with major depression. Journal of Cerebral Blood Flow & Metabolism. 2020; 40(1): 54-66.
[36] YU R Q, ZHANG Z J, CHEN R S, et al. Electroconvulsive therapy-induced neuroimaging alterations measured by cerebral blood flow in adolescents with major depressive disorder. Journal of Affective Disorders. 2023; 327: 385-390.
[37] GOTO M, ABE O, HAGIWARA A, et al. Advantages of using both voxel- and surface-based morphometry in cortical morphology analysis: A review of various applications. Magnetic Resonance in Medical Sciences. 2022; 21(1): 41-57.
[38] LI X, CHEN X, YU R, et al. Changes in gray matter volume following electroconvulsive therapy in adolescent depression with suicidal ideation: A longitudinal structural magnetic resonance imaging study. Frontiers in Psychiatry. 2022; 13: 944520.
[39] LONG X, LI L, WANG X, et al. Gray matter alterations in adolescent major depressive disorder and adolescent bipolar disorder. Journal of Affective Disorders. 2023; 325: 550-563.
[40] PAGLIACCIO D, ALQUEZA K L, MARSH R, et al. Brain volume abnormalities in youth at high risk for depression: Adolescent brain and cognitive development study. Journal of the American Academy of Child and Adolescent Psychiatry. 2019; 59(10): 1178.
[41] BASHFORD-LARGO J, BLAIR R J R, BLAIR K S, et al. Identification of structural brain alterations in adolescents with depressive symptomatology. Brain Research Bulletin. 2023; 201: 110723.
[42] FU Y J, LIU X, WANG X Y, et al. Abnormal volumetric brain morphometry and cerebral blood flow in adolescents with depression. World Journal of Psychiatry. 2023; 13(6): 386-396.
[43] SHEN X, MACSWEENEY N, CHAN S W Y, et al. Brain structural associations with depression in a large early adolescent sample (the ABCD study). eClinicalMedicine. 2021; 42: 101204.
[44] HO T C, GUTMAN B, POZZI E, et al. Subcortical shape alterations in major depressive disorder: Findings from the ENIGMA major depressive disorder working group. Human Brain Mapping. 2022; 43(1): 341-351.
[45] NIELSEN J D, CASE J A C, DIVERS R M, et al. Trajectories of depressive symptoms through adolescence as predictors of cortical thickness in the orbitofrontal cortex: An examination of sex differences. Psychiatry Research: Neuroimaging. 2020; 303: 111132.
[46] FOWLER C H, GAFFREY M S. Reduced cortical surface area globally and in reward-related cortex is associated with elevated depressive symptoms in preschoolers. Journal of Affective Disorders. 2022; 319: 286-293.
[47] LE BIHAN D. From Brownian motion to virtual biopsy: A historical perspective from 40 years of diffusion MRI. Japanese Journal of Radiology. 2024.
[48] CONTE S, ZIMMERMAN D, RICHARDS J E. White matter trajectories over the lifespan. PLoS ONE. 2024; 19(5): e0301520.
[49] ZHOU L, WANG L, WANG M, et al. Alterations in white matter microarchitecture in adolescents and young adults with major depressive disorder: A voxel-based meta-analysis of diffusion tensor imaging. Psychiatry Research: Neuroimaging. 2022; 323: 111482.
[50] RADOEVA P D, MILEV V T, HUNT J I, et al. White matter microstructural organization in adolescents with depression: A systematic review. JAACAP Open. 2023; 1(4): 233-245.
[51] PING L, XU J, ZHOU C, et al. Tryptophan hydroxylase-2 polymorphism is associated with white matter integrity in first-episode, medication-naïve major depressive disorder patients. Psychiatry Research: Neuroimaging. 2019; 286: 4-10.
[52] JIANG L, SHEN Z, CHENG Y, et al. Elevated serum neurofilament levels in young first-episode and medication-naïve major depressive disorder patients with alterative white matter integrity. Psychiatry Research: Neuroimaging. 2021; 317: 111351.
[53] BARCH D M, HUA X, KANDALA S, et al. White matter alterations associated with lifetime and current depression in adolescents: Evidence for cingulum disruptions. Depression and Anxiety. 2022; 39(12): 881-890.
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