Amplitude of Low-Frequency Oscillations in First-Episode, Treatment-Naive Patients with Major Depressive Disorder: A Resting-State Functional MRI Study

Background Resting-state fMRI is a novel approach to measure spontaneous brain activity in patients with major depressive disorder (MDD). Although most resting-state fMRI studies have focused on the examination of temporal correlations between low-frequency oscillations (LFOs), few studies have explored the amplitude of these LFOs in MDD. In this study, we applied the approaches of amplitude of low-frequency fluctuation (ALFF) and fractional ALFF to examine the amplitude of LFOs in MDD. Methodology/Principal Findings A total of 36 subjects, 18 first-episode, treatment-naive patients with MDD matched with 18 healthy controls (HCs) completed the fMRI scans. Compared with HCs, MDD patients showed increased ALFF in the right fusiform gyrus and the right anterior and posterior lobes of the cerebellum but decreased ALFF in the left inferior temporal gyrus, bilateral inferior parietal lobule, and right lingual gyrus. The fALFF in patients was significantly increased in the right precentral gyrus, right inferior temporal gyrus, bilateral fusiform gyrus, and bilateral anterior and posterior lobes of the cerebellum but was decreased in the left dorsolateral prefrontal cortex, bilateral medial orbitofrontal cortex, bilateral middle temporal gyrus, left inferior temporal gyrus, and right inferior parietal lobule. After taking gray matter (GM) volume as a covariate, the results still remained. Conclusions/Significance These findings indicate that MDD patients have altered LFO amplitude in a number of regions distributed over the frontal, temporal, parietal, and occipital cortices and the cerebellum. These aberrant regions may be related to the disturbances of multiple emotion- and cognition-related networks observed in MDD and the apparent heterogeneity in depressive symptom domains. Such brain functional alteration of MDD may contribute to further understanding of MDD-related network imbalances demonstrated in previous fMRI studies.

[1]  K. Kendrick,et al.  Depression uncouples brain hate circuit , 2011, Molecular Psychiatry.

[2]  Ning Sun,et al.  Disrupted resting-state functional connectivity of the hippocampus in medication-naïve patients with major depressive disorder. , 2012, Journal of affective disorders.

[3]  Feng Liu,et al.  Abnormal regional spontaneous neural activity in first-episode, treatment-naive patients with late-life depression: A resting-state fMRI study , 2012, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[4]  James B. Rowe,et al.  Reversed Frontotemporal Connectivity During Emotional Face Processing in Remitted Depression , 2012, Biological Psychiatry.

[5]  M. Hoptman,et al.  Functional connectivity in the cognitive control network and the default mode network in late-life depression. , 2012, Journal of affective disorders.

[6]  Feng Liu,et al.  Alterations of the amplitude of low-frequency fluctuations in treatment-resistant and treatment-response depression: A resting-state fMRI study , 2012, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[7]  Yong He,et al.  Erratum to “Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI” [Brain Develop 29 (2) (2007) 83–91] , 2012, Brain and Development.

[8]  Xiang Wang,et al.  Evidence of a Dissociation Pattern in Resting-State Default Mode Network Connectivity in First-Episode, Treatment-Naive Major Depression Patients , 2012, Biological Psychiatry.

[9]  Yu-Te Wu,et al.  Frontal regional homogeneity increased and temporal regional homogeneity decreased after remission of first-episode drug-naïve major depressive disorder with panic disorder patients under duloxetine therapy for 6 weeks. , 2012, Journal of affective disorders.

[10]  V. Giampietro,et al.  Fronto-Striato-Cerebellar Dysregulation in Adolescents with Depression During Motivated Attention , 2012, Biological Psychiatry.

[11]  Richard B. Ivry,et al.  Consensus Paper: Roles of the Cerebellum in Motor Control—The Diversity of Ideas on Cerebellar Involvement in Movement , 2011, The Cerebellum.

[12]  Yong He,et al.  Spatial patterns of intrinsic brain activity in mild cognitive impairment and alzheimer's disease: A resting‐state functional MRI study , 2011, Human brain mapping.

[13]  Xi-Nian Zuo,et al.  REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.

[14]  J. Soares,et al.  The effects of antidepressants on human brain as detected by imaging studies. Focus on major depression , 2011, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[15]  Xiaoqi Huang,et al.  Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive Disorder , 2011, Biological Psychiatry.

[16]  Raymond C K Chan,et al.  Abnormal regional spontaneous neural activity in treatment‐refractory depression revealed by resting‐state fMRI , 2011, Human brain mapping.

[17]  C. Beevers,et al.  Neural mechanisms of the cognitive model of depression , 2011, Nature Reviews Neuroscience.

[18]  Qiang Xu,et al.  Disrupted regional homogeneity in treatment-resistant depression: A resting-state fMRI study , 2011, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

[19]  Sophie Guionnet,et al.  Brain effects of antidepressants in major depression: a meta-analysis of emotional processing studies. , 2011, Journal of affective disorders.

[20]  Ying Han,et al.  Frequency-dependent changes in the amplitude of low-frequency fluctuations in amnestic mild cognitive impairment: A resting-state fMRI study , 2011, NeuroImage.

[21]  K. Lesch,et al.  Integrating neurobiological markers of depression. , 2010, Archives of general psychiatry.

[22]  Cheng Xu,et al.  Decreased regional homogeneity in insula and cerebellum: A resting-state fMRI study in patients with major depression and subjects at high risk for major depression , 2010, Psychiatry Research: Neuroimaging.

[23]  S. Rombouts,et al.  Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .

[24]  Yufeng Zang,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .

[25]  R. Canbeyli Sensorimotor modulation of mood and depression: An integrative review , 2010, Behavioural Brain Research.

[26]  Xi-Nian Zuo,et al.  Amplitude of low-frequency oscillations in schizophrenia: A resting state fMRI study , 2010, Schizophrenia Research.

[27]  Chaogan Yan,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..

[28]  Heide Klumpp,et al.  Review of brain functioning in depression for semantic processing and verbal fluency. , 2010, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[29]  Martin Wiesmann,et al.  Functional Connectivity Bias of the Orbitofrontal Cortex in Drug-Free Patients with Major Depression , 2010, Biological Psychiatry.

[30]  Pienie Zwitserlood,et al.  Automatic Mood-Congruent Amygdala Responses to Masked Facial Expressions in Major Depression , 2010, Biological Psychiatry.

[31]  M. Yücel,et al.  Structural brain abnormalities in major depressive disorder: a selective review of recent MRI studies. , 2009, Journal of affective disorders.

[32]  R. Elliott,et al.  Brain Imaging Correlates of Cognitive Impairment in Depression , 2009, Front. Hum. Neurosci..

[33]  Jordan Grafman,et al.  The functional neuroanatomy of depression: Distinct roles for ventromedial and dorsolateral prefrontal cortex , 2009, Behavioural Brain Research.

[34]  Qichang Shi,et al.  Prevalence, treatment, and associated disability of mental disorders in four provinces in China during 2001–05: an epidemiological survey , 2009, The Lancet.

[35]  A. Belger,et al.  Mapping social target detection with functional magnetic resonance imaging. , 2009, Social cognitive and affective neuroscience.

[36]  R. Nathan Spreng,et al.  The Common Neural Basis of Autobiographical Memory, Prospection, Navigation, Theory of Mind, and the Default Mode: A Quantitative Meta-analysis , 2009, Journal of Cognitive Neuroscience.

[37]  A. Beck The evolution of the cognitive model of depression and its neurobiological correlates. , 2008, The American journal of psychiatry.

[38]  Chaozhe Zhu,et al.  An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF , 2008, Journal of Neuroscience Methods.

[39]  B. Harrison,et al.  Consistency and functional specialization in the default mode brain network , 2008, Proceedings of the National Academy of Sciences.

[40]  Kaia L. Vilberg,et al.  Memory retrieval and the parietal cortex: A review of evidence from a dual-process perspective , 2008, Neuropsychologia.

[41]  G. Glover,et al.  Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus , 2007, Biological Psychiatry.

[42]  M. Fox,et al.  Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.

[43]  Stephen M Lawrie,et al.  Prefrontal cortical functional abnormality in major depressive disorder: a stereotactic meta-analysis. , 2007, Journal of affective disorders.

[44]  Chaozhe Zhu,et al.  Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI , 2007, NeuroImage.

[45]  Tianzi Jiang,et al.  White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder. , 2007, The American journal of psychiatry.

[46]  Y. Zang,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI , 2007, Brain and Development.

[47]  Yong He,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.

[48]  Hillary S. Schaefer,et al.  Event-Related Functional Magnetic Resonance Imaging Measures of Neural Activity to Positive Social Stimuli in Pre- and Post-Treatment Depression , 2006, Biological Psychiatry.

[49]  D. Caplan,et al.  Cognition, emotion and the cerebellum. , 2006, Brain : a journal of neurology.

[50]  M. Kringelbach The human orbitofrontal cortex: linking reward to hedonic experience , 2005, Nature Reviews Neuroscience.

[51]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[52]  M. Lowe,et al.  Activity and Connectivity of Brain Mood Regulating Circuit in Depression: A Functional Magnetic Resonance Study , 2005, Biological Psychiatry.

[53]  R. Post,et al.  Bupropion and venlafaxine responders differ in pretreatment regional cerebral metabolism in unipolar depression , 2005, Biological Psychiatry.

[54]  Anthony R. McIntosh,et al.  Limbic–frontal circuitry in major depression: a path modeling metanalysis , 2004, NeuroImage.

[55]  H. Mayberg Positron emission tomography imaging in depression: a neural systems perspective. , 2003, Neuroimaging clinics of North America.

[56]  S. Houle,et al.  Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression. , 2001, The American journal of psychiatry.

[57]  Daniel S. O'Leary,et al.  An MRI-Based Parcellation Method for the Temporal Lobe , 2000, NeuroImage.

[58]  S. Alborzian,et al.  Brain metabolic changes in major depressive disorder from pre- to post-treatment with paroxetine , 1999, Psychiatry Research: Neuroimaging.

[59]  J. Price,et al.  Neuroimaging abnormalities in the subgenual prefrontal cortex: implications for the pathophysiology of familial mood disorders , 1998, Molecular Psychiatry.

[60]  J. Price,et al.  Reduced glucose metabolism in the subgenual prefrontal cortex in unipolar depression , 1998, Molecular Psychiatry.

[61]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[62]  Guy Marchal,et al.  Automated multi-modality image registration based on information theory , 1995 .

[63]  André Luxen,et al.  Frontal and parietal metabolic disturbances in unipolar depression , 1994, Biological Psychiatry.

[64]  I. Heuser,et al.  The Hamilton Anxiety Scale: reliability, validity and sensitivity to change in anxiety and depressive disorders. , 1988, Journal of affective disorders.

[65]  M. Pintar,et al.  NMR spectroscopy of heterogeneous solid‐liquid mixtures. Spin grouping and exchange analysis of proton spin relaxation in a tissue , 1987, Magnetic resonance in medicine.

[66]  R. C. Oldfield The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.

[67]  M. Hamilton,et al.  Development of a rating scale for primary depressive illness. , 1967, The British journal of social and clinical psychology.