Machine learning-based assessment of morphometric abnormalities distinguishes bipolar disorder and major depressive disorder

Hasin DS, Goodwin RD, Stinson FS, Grant BF (2005) Epidemiology of major depressive disorder: results from the national epidemiologic survey on Alcoholism and related conditions. Arch Gen Psychiatry 62(10):1097–1106

Article  PubMed  Google Scholar 

Merikangas KR, Jin R, He JP et al (2011) Prevalence and correlates of bipolar spectrum disorder in the world mental health survey initiative. Arch Gen Psychiatry 68(3):241–251

Article  PubMed  PubMed Central  Google Scholar 

Costa Lda S, Alencar AP, Nascimento Neto PJ et al (2015) Risk factors for suicide in bipolar disorder: a systematic review. J Affect Disord 170:237–254

Article  PubMed  Google Scholar 

Grande I, Berk M, Birmaher B, Vieta E (2016) Bipolar disorder. Lancet 387(10027):1561–1572

Article  PubMed  Google Scholar 

Ketter TA, Wang PW (2002) Predictors of treatment response in bipolar disorders: evidence from clinical and brain imaging studies. J Clin Psychiatry 63(Suppl 3):21–25

Hirschfeld RM, Lewis L, Vornik LA (2003) Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder. J Clin Psychiatry 64(2):161–174

Article  PubMed  Google Scholar 

Baldessarini RJ, Tondo L, Visioli C (2014) First-episode types in bipolar disorder: predictive associations with later illness. Acta Psychiatr Scand 129(5):383–392

Article  PubMed  CAS  Google Scholar 

Idemoto K, Ishima T, Niitsu T et al (2021) Platelet-derived growth factor BB: a potential diagnostic blood biomarker for differentiating bipolar disorder from major depressive disorder. J Psychiatr Res 134:48–56

Article  PubMed  Google Scholar 

McIntyre RS, Calabrese JR (2019) Bipolar depression: the clinical characteristics and unmet needs of a complex disorder. Curr Med Res Opin 35(11):1993–2005

Article  PubMed  Google Scholar 

Han KM, De Berardis D, Fornaro M, Kim YK (2019) Differentiating between bipolar and unipolar depression in functional and structural MRI studies. Prog Neuro-psychopharmacol Biol Psychiatry 91:20–27

Article  Google Scholar 

Mitchell PB, Goodwin GM, Johnson GF, Hirschfeld RM (2008) Diagnostic guidelines for bipolar depression: a probabilistic approach. Bipolar Disord 10(1):144–152

Article  PubMed  Google Scholar 

Nawaz H, Shah I, Ali S (2023) The amygdala connectivity with depression and suicide ideation with suicide behavior: a meta-analysis of structural MRI, resting-state fMRI and task fMRI. Prog Neuro-psychopharmacol Biol Psychiatry 124:110736

Article  Google Scholar 

Opel N, Goltermann J, Hermesdorf M, Berger K, Baune BT, Dannlowski U (2020) Cross-disorder Analysis of Brain Structural abnormalities in six Major Psychiatric disorders: a secondary analysis of mega- and Meta-analytical findings from the ENIGMA Consortium. Biol Psychiatry 88(9):678–686

Article  PubMed  Google Scholar 

Lin Q, Dai Z, Xia M et al (2015) A connectivity-based test-retest dataset of multi-modal magnetic resonance imaging in young healthy adults. Sci data 2:150056

Article  PubMed  PubMed Central  CAS  Google Scholar 

Brosch K, Stein F, Schmitt S et al (2022) Reduced hippocampal gray matter volume is a common feature of patients with major depression, bipolar disorder, and schizophrenia spectrum disorders. Mol Psychiatry 27(10):4234–4243

Article  PubMed  PubMed Central  Google Scholar 

Li W, Lei D, Tallman MJ et al (2023) Morphological abnormalities in youth with bipolar disorder and their relationship to clinical characteristics. J Affect Disord 338:312–320

Article  PubMed  PubMed Central  Google Scholar 

Redlich R, Almeida JJ, Grotegerd D et al (2014) Brain morphometric biomarkers distinguishing unipolar and bipolar depression. A voxel-based morphometry-pattern classification approach. JAMA Psychiatry 71(11):1222–1230

Article  PubMed  PubMed Central  Google Scholar 

Koutsouleris N, Meisenzahl EM, Borgwardt S et al (2015) Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers. Brain: J Neurol 138(Pt7): 2059–2073

Bookstein FL (2001) Voxel-based morphometry should not be used with imperfectly registered images. Neuroimage 14(6):1454–1462

Li Q, Zhao Y, Chen Z et al (2020) Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder. Neuropsychopharmacology 45(4):703–712

Article  Google Scholar 

Xu S, Yang Z, Chakraborty D et al (2022) Identifying psychiatric manifestations in schizophrenia and depression from audio-visual behavioural indicators through a machine-learning approach. Schizophrenia (Heidelberg) 8(1):92

PubMed  Google Scholar 

LeCun Y, Bengio Y, Hinton G (2015) Deep learning. Nature 521(7553):436–444

Article  PubMed  CAS  Google Scholar 

Kim J, Calhoun VD, Shim E, Lee JH (2016) Deep neural network with weight sparsity control and pre-training extracts hierarchical features and enhances classification performance: evidence from whole-brain resting-state functional connectivity patterns of schizophrenia. Neuroimage 124(Pt A):127–146

Havaei M, Davy A, Warde-Farley D et al (2017) Brain tumor segmentation with deep neural networks. Med Image Anal 35:18–31

Article  PubMed  Google Scholar 

Drysdale AT, Grosenick L, Downar J et al (2017) Erratum: resting-state connectivity biomarkers define neurophysiological subtypes of depression. Nat Med 23(2):264

Article  PubMed  PubMed Central  CAS  Google Scholar 

Mikolas P, Marxen M, Riedel P et al (2024) Prediction of estimated risk for bipolar disorder using machine learning and structural MRI features. Psychol Med 54(2):278–288

Article  PubMed  Google Scholar 

Huang S, Wen X, Liu Z et al (2023) Distinguishing functional and structural MRI abnormalities between bipolar and unipolar depression. Front Psychiatry 14:1343195

Article  PubMed  PubMed Central  Google Scholar 

Achard S, Bullmore E (2007) Efficiency and cost of economical brain functional networks. PLoS Comput Biol 3(2):e17

Article  PubMed  PubMed Central  Google Scholar 

Ashburner J, Friston KJ (2005) Unified segmentation. Neuroimage 26(3):839–851

Article  PubMed  Google Scholar 

Mokoatle M, Marivate V, Mapiye D, Bornman R, Hayes VM (2023) A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application. BMC Bioinformatics 24(1):112

Article  PubMed  PubMed Central  Google Scholar 

Stevens JS, Reddy R, Kim YJ et al (2018) Episodic memory after trauma exposure: medial temporal lobe function is positively related to re-experiencing and inversely related to negative affect symptoms. NeuroImage Clin 17:650–658

Article  PubMed  Google Scholar 

Chen H, Lu F, Guo X et al (2022) Dimensional Analysis of Atypical Functional Connectivity of Major Depression Disorder and Bipolar Disorder. Cerebral cortex (New York, N.Y.: 1991) 32(6): 1307–1317

Harati S, Crowell A, Mayberg H, Nemati S (2018) Depression Severity Classification from Speech Emotion. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2018: 5763–5766

Ding X, Yang Y, Stein EA, Ross TJ (2015) Multivariate classification of smokers and nonsmokers using SVM-RFE on structural MRI images. Hum Brain Mapp 36(12):4869–4879

Article  PubMed  PubMed Central  Google Scholar 

Wang J, Wang X, Xia M, Liao X, Evans A, He Y (2015) GRETNA: a graph theoretical network analysis toolbox for imaging connectomics. Front Hum Neurosci 9:386

PubMed  PubMed Central  CAS  Google Scholar 

Sankar A, Purves K, Colic L et al (2021) Altered frontal cortex functioning in emotion regulation and hopelessness in bipolar disorder. Bipolar Disord 23(2):152–164

Article  PubMed  CAS  Google Scholar 

Shi J, Guo H, Liu S et al (2021) Subcortical Brain Volumes Relate to Neurocognition in First-Episode Schizophrenia, Bipolar Disorder, Major Depression Disorder, and Healthy Controls. Frontiers in psychiatry 12: 747386

Niu M, Wang Y, Jia Y et al (2017) Common and Specific Abnormalities in cortical thickness in patients with Major Depressive and Bipolar disorders. EBioMedicine 16:162–171

Fung G, Deng Y, Zhao Q et al (2015) Distinguishing bipolar and major depressive disorders by brain structural morphometry: a pilot study. BMC Psychiatry 15:298

Article  PubMed  PubMed Central  Google Scholar 

Liu M, Wang Y, Zhang A et al (2021) Altered dynamic functional connectivity across mood states in bipolar disorder. Brain Res1750:147143

Article  PubMed  CAS  Google Scholar 

Comments (0)

No login
gif