Microstructural changes in the reward system are associated with post-stroke depression
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[1] Xiaopei Xu,et al. Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression , 2019, Front. Neurosci..
[2] O. Commowick,et al. White matter abnormalities in depression: A categorical and phenotypic diffusion MRI study , 2019, NeuroImage: Clinical.
[3] E. Bullmore. The Inflamed Mind: A Radical New Approach to Depression , 2018 .
[4] U. Dannlowski,et al. Social anhedonia in major depressive disorder: a symptom-specific neuroimaging approach , 2018, Neuropsychopharmacology.
[5] A. Leemans,et al. Accelerated intermittent theta burst stimulation in major depression induces decreases in modularity: A connectome analysis , 2018, Network Neuroscience.
[6] Ho-Ling Liu,et al. The relationships between brain structural changes and perceived loneliness in older adults suffering from late‐life depression , 2017, International journal of geriatric psychiatry.
[7] G. Thomalla,et al. Post-Stroke Depression: Impact of Lesion Location and Methodological Limitations—A Topical Review , 2017, Front. Neurol..
[8] Yong-Ku Kim,et al. The influence of stress on neuroinflammation and alterations in brain structure and function in major depressive disorder , 2017, Behavioural Brain Research.
[9] Amlan Chakrabarti,et al. Architecture for complex network measures of brain connectivity , 2017, 2017 IEEE International Symposium on Circuits and Systems (ISCAS).
[10] J. E. Park,et al. Voxel-based lesion symptom mapping analysis of depressive mood in patients with isolated cerebellar stroke: A pilot study , 2016, NeuroImage: Clinical.
[11] Ofer Pasternak,et al. Free-water imaging in Parkinson's disease and atypical parkinsonism. , 2016, Brain : a journal of neurology.
[12] D. Linden,et al. A review of white matter microstructure alterations of pathways of the reward circuit in depression. , 2015, Journal of affective disorders.
[13] A. Arboix,et al. Cardiovascular risk factors for acute stroke: Risk profiles in the different subtypes of ischemic stroke. , 2015, World journal of clinical cases.
[14] D. Vaillancourt,et al. Increased free water in the substantia nigra of Parkinson's disease: a single-site and multi-site study , 2015, Neurobiology of Aging.
[15] Q. Gong,et al. Depression, Neuroimaging and Connectomics: A Selective Overview , 2015, Biological Psychiatry.
[16] L. Williams,et al. Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis , 2014, Biological Psychiatry.
[17] K. Pickles,et al. Part I: Frequency of Depression after Stroke: An Updated Systematic Review and Meta-Analysis of Observational Studies , 2014, International journal of stroke : official journal of the International Stroke Society.
[18] A. Wood,et al. Imaging predictors of poststroke depression: methodological factors in voxel-based analysis , 2014, BMJ Open.
[19] S. Lui,et al. Impaired frontothalamic circuitry in suicidal patients with depression revealed by diffusion tensor imaging at 3.0 T. , 2014, Journal of psychiatry & neuroscience : JPN.
[20] William D S Killgore,et al. Reduced gray matter volume in the anterior cingulate, orbitofrontal cortex and thalamus as a function of mild depressive symptoms: a voxel-based morphometric analysis , 2014, Psychological Medicine.
[21] A. Connelly,et al. Determination of the appropriate b value and number of gradient directions for high‐angular‐resolution diffusion‐weighted imaging , 2013, NMR in biomedicine.
[22] J. P. Hamilton,et al. Anomalous Gray Matter Structural Networks in Major Depressive Disorder , 2013, Biological Psychiatry.
[23] J. Diego-Adeliño,et al. Microstructural white-matter abnormalities associated with treatment resistance, severity and duration of illness in major depression , 2013, Psychological Medicine.
[24] Scott J. Russo,et al. The brain reward circuitry in mood disorders , 2013, Nature Reviews Neuroscience.
[25] Alan Connelly,et al. SIFT: Spherical-deconvolution informed filtering of tractograms , 2013, NeuroImage.
[26] Carl-Fredrik Westin,et al. Excessive Extracellular Volume Reveals a Neurodegenerative Pattern in Schizophrenia Onset , 2012, The Journal of Neuroscience.
[27] Alan Connelly,et al. Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information , 2012, NeuroImage.
[28] Derek K. Jones,et al. Cingulum White Matter in Young Women at Risk of Depression: The Effect of Family History and Anhedonia , 2012, Biological Psychiatry.
[29] Alan Connelly,et al. MRtrix: Diffusion tractography in crossing fiber regions , 2012, Int. J. Imaging Syst. Technol..
[30] S. Hashioka. Antidepressants and neuroinflammation: Can antidepressants calm glial rage down? , 2011, Mini reviews in medicinal chemistry.
[31] E. Amaro,et al. Stroke lesion in cortical neural circuits and post-stroke incidence of major depressive episode: A 4-month prospective study , 2011, The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry.
[32] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[33] Y. Michotte,et al. The dual role of the neuroinflammatory response after ischemic stroke: modulatory effects of hypothermia , 2010, Journal of Neuroinflammation.
[34] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[35] Tobias Kober,et al. MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field , 2010, NeuroImage.
[36] Q. Cheng,et al. Etiological mechanisms of post-stroke depression: a review , 2009, Neurological research.
[37] S. Kırlı,et al. Reliability and validity of the Geriatric Depression Scale in detection of poststroke minor depression , 2009, Journal of clinical and experimental neuropsychology.
[38] N. Intrator,et al. Free water elimination and mapping from diffusion MRI , 2009, Magnetic resonance in medicine.
[39] S. Paolucci. Epidemiology and treatment of post-stroke depression , 2008, Neuropsychiatric disease and treatment.
[40] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[41] Ching-Kuan Liu,et al. Relationship Between Post‐stroke Depression and Lesion Location: A Meta‐Analysis , 2004, The Kaohsiung journal of medical sciences.
[42] R G Robinson,et al. A reappraisal of poststroke depression, intra- and inter-hemispheric lesion location using meta-analysis. , 2003, The Journal of neuropsychiatry and clinical neurosciences.
[43] James G. Surles,et al. Model-Dependent Variance Inflation Factor Cutoff Values , 2002 .
[44] Michael Sharpe,et al. Depression after stroke and lesion location: a systematic review , 2000, The Lancet.
[45] J. Wardlaw,et al. Depression and its relation to lesion location after stroke , 1998, Journal of neurology, neurosurgery, and psychiatry.
[46] B. Agrell,et al. Comparison of six depression rating scales in geriatric stroke patients. , 1989, Stroke.
[47] R. Rosse,et al. Effects of Cortical Lesion Location on Psychiatric Consultation Referral for Depressed Stroke Inpatients , 1986, International journal of psychiatry in medicine.
[48] R. Robinson,et al. Mood disorders in stroke patients. Importance of location of lesion. , 1984, Brain : a journal of neurology.
[49] R G Robinson,et al. Post‐stroke depressive disorders: a follow‐up study of 103 patients. , 1982, Stroke.
[50] Andrea Gawrylewski,et al. The inflamed mind: a radical new approach to depression. , 2019 .
[51] Yafan Zhou,et al. Post-stroke depression and lesion location: a systematic review , 2014, Journal of Neurology.
[52] V. Leirer,et al. Development and validation of a geriatric depression screening scale: a preliminary report. , 1982, Journal of psychiatric research.
[53] A. Meyer-Lindenberg,et al. Neuroimage: Clinical Larger Amygdala Volume in First-degree Relatives of Patients with Major Depression , 2022 .
[54] Sylvain Bouix,et al. Microstructural white matter alterations in acutely concussed ice hockey players : a longitudinal free-water MRI study , 2022 .