Resting state functional connectivity and treatment response in late-life depression

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain

Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319

A new depression scale designed to be sensitive to change

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A default mode of brain function

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Functional connectivity in the motor cortex of resting human brain using echo‐planar mri

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Functional connectivity in the resting brain: a network analysis of the default mode hypothesis

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Depression, chronic diseases, and decrements in health: results from the World Health Surveys

Moussavi, S., Chatterji, S., Verdes, E., Tandon, A., Patel, V., & Ustun, B. (2007) · The Lancet · doi:10.1016/s0140-6736(07)61415-9 · Cited by 4,070

Structured clinical interview for DSM-IV axis I disorders : SCID-I : clinical version : scoresheet

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Functional and effective connectivity in neuroimaging: a synthesis

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Neurodegenerative Diseases Target Large-Scale Human Brain Networks

Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350

Remission is insufficient: predictors and mechanistic models of recurrence in late-life depression

Taylor, W. D., Gerlach, A., Szymkowicz, S. M., Gujral, S., & Andreescu, C. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02324-2 · Cited by 3

The Effect of White Matter Hyperintensity Burden on Antidepressant Treatment Remission: A Meta-Analysis

Egglefield, D. A., Bursky, M., Schiff, S., Rindskopf, D., & Sneed, J. R. (2025) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2025.05.001 · Cited by 3

Mood Disorders

(2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018 · Cited by 3

Aberrant Resting-State Functional Connectivity in MDD and the Antidepressant Treatment Effect—A 6-Month Follow-Up Study

Li, K., Lu, X., Xiao, C., Zheng, K., Sun, J., Dong, Q., Wang, M., Zhang, L., Liu, B., Liu, J., et al. (2023) · Brain Sciences · doi:10.3390/brainsci13050705 · Cited by 3

Structural Brain Connectivity and Treatment Improvement in Mood Disorder

Dam, S., Batail, J.-M. V., Robert, G. H., Drapier, D., Maurel, P., & Coloigner, J. (2024) · Brain Connectivity · doi:10.1089/brain.2023.0063 · Cited by 3

Escitalopram and functional connectivity in major depressive disorder: A systematic review

Turiaco, F., Arnone, F., Drago, A., Muscatello, M. R. A., Bruno, A., & Iannuzzo, F. (2025) · Journal of Psychopharmacology · doi:10.1177/02698811251370998 · Cited by 2

The effect and neural changes underlying mindfulness meditation training in patients with comorbid internet gaming disorder and depression: A randomized clinical trial

Xu, X., Wang, H., Cui, S., Liu, C., Song, X., & Dong, G.-H. (2026) · Translational Psychiatry · doi:10.1038/s41398-026-03837-6 · Cited by 2

Altered effective connectivity in patients with drug-naïve first-episode, recurrent, and medicated major depressive disorder: A multi-site fMRI study

Dai, P., Huang, K., Hu, T., Chen, Q., Liao, S., Grecucci, A., Yi, X., & Chen, B. T. (2025) · Behavioural Brain Research · doi:10.1016/j.bbr.2025.115756 · Cited by 2

Neuroimaging Studies of Effects of Psychotherapy in Depression

Bauer, I. E., & Meyer, T. D. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.021 · Cited by 2

Potential correlations between abnormal homogeneity of default mode network and personality or lipid level in major depressive disorder

Zhang, C., Ruan, F., Yan, H., Liang, J., Li, X., Liang, W., Ou, Y., Xu, C., Xie, G., & Guo, W. (2024) · Brain and Behavior · doi:10.1002/brb3.3622 · Cited by 2

Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression

Hannon, K., & Bijsterbosch, J. D. (2023) · Advances in Geriatric Medicine and Research · doi:10.20900/agmr20230010 · Cited by 2

Electrophysiological Biomarkers for Mood Disorders

Ramakrishnan, N., Murphy, N., Selvaraj, S., & Cho, R. Y. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.015 · Cited by 2

Identifying neurobiological markers as predictors of antidepressant treatment using diffusion tensor imaging: A tract-based spatial statistical analysis of cingulate bundle

Yang, C., Han, J., Sun, N., Liu, P., Zhang, K., Zhang, A., & Liu, Z. (2025) · CNS Spectrums · doi:10.1017/s1092852925000252 · Cited by 1

Moderators of treatment response in late-life depression

Steffens, D. C., Diniz, B. S., Jain, N., Kluewer-DAmico, J., Manning, K. J., & Wang, L. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02337-x · Cited by 1

Neuroimaging biomarkers of late-life major depressive disorder pathophysiology, pathogenesis, and treatment response

Karim, H. T., Reynolds, C. F., & Smagula, S. F. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813176-3.00027-4 · Cited by 1

Psychiatric Underpinnings of Chronic Diabetic Neuropathic Pain

Shabbir, S. H. (2016) · Einstein Journal of Biology and Medicine · doi:10.23861/ejbm201530639 · Cited by 1

Therapieprädiktion und (f)MRT-basierte Biomarker bei Depression

Woelfer, M., Leutritz, A. L., & Walter, M. (2018) · NeuroTransmitter · doi:10.1007/s15016-018-6324-x · Cited by 1

A Protocol for Integrating Neuroscience Into Studies of Family-Based Treatment for Anorexia Nervosa: An Approach to Research and Potential Benefits for Clinical Care

Bohon, C., Weinbach, N., & Lock, J. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00919 · Cited by 2

Brain Imaging and the Mechanisms of Antidepressant Action

Godlewska, B. R., Selvaraj, S., & Cowen, P. J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.020 · Cited by 1

Effects of Lithium on Brain Structure in Bipolar Disorder

Kaur, J., Kafantaris, V., & Szeszko, P. R. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.018 · Cited by 1

Functional Connectome in Bipolar Disorder

Cha, J., & Anand, A. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.008 · Cited by 1

Common network effect-patterns after monoamine reuptake inhibition in dissociated hippocampus cultures

Trepl, J., Dahlmanns, M., Kornhuber, J., Groemer, T. W., & Dahlmanns, J. K. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02477-6 · Cited by 2

Multimodal MR Prediction Models for Late-Life Depression and Treatment Response

Patel, M. J. (2014) · D-Scholarship@Pitt (University of Pittsburgh)

Needles on the couch: acupuncture in the treatment of depression, schizophrenia and sleep disorders

Bosch, M. P. C. (2015) · Radboud Repository (Radboud University)

Early Prediction Of Late-Life Depression Remission: Multi-Factor Kernel-Based Machine Learning Utilizing Single Dose Pharmacological Functional Magnetic Resonance Imaging

Karim, H. T. (2017) · D-Scholarship@Pitt (University of Pittsburgh)

Functional Connectivity and Cognitive Control in Late-Life Depression

Dumas, J. A. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2019.12.014

Efeitos agudos centrais do canabidiol por meio de neuroimagem funcional e sobre o reconhecimento de emoções faciais em pacientes com transtorno depressivo maior

Zamarrenho, L. G. (2020) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.17.2020.tde-23082020-104553

Imaging Genetic and Epigenetic Markers in Mood Disorders

Poletti, S., Mazza, E. A., Vai, B., & Benedetti, F. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.012

Brain Imaging of Reward Dysfunction in Unipolar and Bipolar Disorders

Kumar, P., Jiang, Y., & Whitton, A. E. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.006

Resting-State Functional Connectivity in Unipolar Depression

Chen, Z., & Gong, Q. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.007

Brain Imaging Methods in Mood Disorders

Selvaraj, S., Brambilla, P., & Soares, J. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.002

Magnetic Resonance Spectroscopy Investigations of Bioenergy and Mitochondrial Function in Mood Disorders

Kious, B. M., & Renshaw, P. F. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.009

Neuroimaging Brain Inflammation in Mood Disorders

Meyer, J. H. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.011

Functional Near-Infrared Spectroscopy Studies in Mood Disorders

Matsuo, K., & Matsubara, T. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.014

Neuroanatomical Findings in Unipolar Depression and the Role of the Hippocampus

Arnone, D. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.003

Neuroimaging Biomarkers in Pediatric Mood Disorders

West, M. P., Tang, W. J., & Singh, M. K. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.005

fMRI Neurofeedback as Treatment for Depression

Skottnik, L., & Linden, D. E. J. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.013

Neuroanatomical Findings in Bipolar Disorder

Tronchin, G., & McDonald, C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.004

Imaging Glutamatergic and GABAergic Abnormalities in Mood Disorders

Scotti-Muzzi, E., Otaduy, M. C. G., Soeiro‐de‐Souza, M. G., & Machado‐Vieira, R. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.010

Molecular Imaging of Dopamine and Antipsychotics in Bipolar Disorder

Jauhar, S. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.019

Magnetoencephalography Studies in Mood Disorders

Nugent, A. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.016

Investigation of brain networks for personalized rTMS in healthy subjects and patients with major depressive disorder: A translational study

Singh, A. (2021) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-8452

Index

Selvaraj, S., Brambilla, P., & Soares, J. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.022

Preface

Selvaraj, S., Brambilla, P., & Soares, J. C. (2021) · Cambridge University Press eBooks · doi:10.1017/9781108623018.001

The different impacts of functional network centrality and connectivity on the complexity of brain signals in healthy control and first-episode drug-naïve patients with major depressive disorder

Ji, S., An, W., Zhang, J., Zhou, C., Yan, C.-G., Chen, X., Cao, L.-P., Chen, W., Cheng, Y.-Q., Fang, Y.-R., et al. (2024) · Brain Imaging and Behavior · doi:10.1007/s11682-024-00923-5 · Cited by 1

Right anterior supramarginal gyrus-cerebellum hyperconnectivity and rumination partially mediate the link between childhood abuse and anger in late-life depression

Cella, R., Wang, L., WU, R. T., Ford, J. D., Pearlson, G. D., & Steffens, D. C. (2025) · Journal of Affective Disorders · doi:10.1016/j.jad.2025.120928

Additional file 1 of Functional connectivity changes in cerebral small vessel disease - a systematic review of the resting-state MRI literature

Schulz, M., Malherbe, C., Cheng, B., Thomalla, G., & Schlemm, E. (2021) · Figshare · doi:10.6084/m9.figshare.14538908

Group Sparse Representation Enhances Brain Network Classification of Major Depressive Disorder in Two Chinese Cohorts

Zhang, D., Lin, C., Zhang, A., Wang, X., Xia, W., Wang, Y., Du, Y., Yu, H., & Ji, S. (2026) · ALPHA PSYCHIATRY · doi:10.31083/ap40685

Sad Mood in Late‐Life Depression Correlates With Reduced Thickness in Orbitofrontal Cortex

Loureiro, J. C., Martins, B., Valiengo, L. D. C. L., Pinto, B. S., Bariani, B., Tort, L. C., Santosa, L. A., Benatti, R. G., Lessa, M. P. M., Silva, J., et al. (2026) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.70218

Distinct Trajectories of Amygdala Connectivity Patterns Characterize Remission vs. Non‐Remission in Patients With Major Depressive Disorder

Zhang, S., Zhang, Z., Li, X., Zhou, J., Li, R., Liu, R., Wang, Y., Chen, X., Feng, Y., Cui, J., et al. (2026) · Depression and Anxiety · doi:10.1155/da/4701907

Default mode network functional connectivity following treatment with conventional antidepressants and (es)ketamine in major depressive disorder: A systematic review

Constantino, J. L., Jager, J. E. D., Nuninga, J. O., Kamphuis, J., Schoevers, R. A., & van Dalfsen, J. H. (2026) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2026.112333

Early brain functional connectivity changes induced by antidepressants and placebo

Tong, X., Fonzo, G. A., Carlisle, N. B., Xie, H., Berdichevsky, Y., Keller, C. J., Oathes, D. J., Nemeroff, C. B., Lin, F. V., & Zhang, Y. (2026) · Nature Mental Health · doi:10.1038/s44220-026-00729-y

Default-mode network connectivity and white matter burden in late-life depression

Wu, M., Andreescu, C., Butters, M. A., Tamburo, R., Reynolds, C. F., & Aizenstein, H. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.04.003 · Cited by 140

Influences of resting-state intrinsic functional brain connectivity on the antidepressant treatment response in late-life depression

Ahmed, R., Boyd, B. D., Elson, D. M., Albert, K. M., Begnoche, J. P., Kang, H., Landman, B. A., Szymkowicz, S. M., Andrews, P., Vega, J. N., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291722003579 · Cited by 12

Functional connectivity in the cognitive control network and the default mode network in late-life depression

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Intrinsic functional connectivity in late-life depression: trajectories over the course of pharmacotherapy in remitters and non-remitters

Karim, H. T., Andreescu, C., Tudorascu, D., Smagula, S. F., Butters, M. A., Karp, J. F., Reynolds, C., & Aizenstein, H. J. (2017) · Molecular Psychiatry · doi:10.1038/mp.2016.55 · Cited by 95

Altered resting-state functional connectivity in late-life depression: A cross-sectional study

Eyre, H. A., Yang, H., Leaver, A. M., Dyk, K. V., Siddarth, P., Cyr, N. S., Narr, K. L., Ercoli, L. M., Baune, B. T., & Lavretsky, H. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.09.011 · Cited by 55