Alterations in structural rich-club connectivity of the precuneus are associated with depressive symptoms among individuals with subjective memory complaints

[1]  Natalie C. Ebner,et al.  Associations between subclinical depressive symptoms and reduced brain volume in middle-aged to older adults , 2019, Aging & mental health.

[2]  D. Salmon,et al.  Subjective Cognitive Decline Correlates With Depression Symptoms and Not With Concurrent Objective Cognition in a Clinic-Based Sample of Older Adults , 2018, The journals of gerontology. Series B, Psychological sciences and social sciences.

[3]  D. Y. Lee,et al.  Screening Ability of Subjective Memory Complaints, Informant-Reports for Cognitive Decline, and Their Combination in Memory Clinic Setting , 2017, Psychiatry investigation.

[4]  K. Lee,et al.  Association of subjective memory complaint and depressive symptoms with objective cognitive functions in prodromal Alzheimer's disease including pre-mild cognitive impairment. , 2017, Journal of affective disorders.

[5]  Ki Woong Kim,et al.  Subjective memory complaints in an elderly population with poor sleep quality , 2017, Aging & mental health.

[6]  R. López-Higes,et al.  Subjective Memory Complaints in healthy older adults: Fewer complaints associated with depression and perceived health, more complaints also associated with lower memory performance. , 2017, Archives of gerontology and geriatrics.

[7]  L. Yao,et al.  Precuneus degeneration in nondemented elderly individuals with APOE ɛ4: Evidence from structural and functional MRI analyses , 2017, Human brain mapping.

[8]  Wenhao Jiang,et al.  Structural and Functional Connectivity of Default Mode Network underlying the Cognitive Impairment in Late-onset Depression , 2016, Scientific Reports.

[9]  In Kyoon Lyoo,et al.  Effects of Creatine Monohydrate Augmentation on Brain Metabolic and Network Outcome Measures in Women With Major Depressive Disorder , 2016, Biological Psychiatry.

[10]  Rui Li,et al.  Smaller gray matter volume of hippocampus/parahippocampus in elderly people with subthreshold depression: a cross-sectional study , 2016, BMC Psychiatry.

[11]  Pierrick Bourgeat,et al.  Subjective memory decline predicts greater rates of clinical progression in preclinical Alzheimer's disease , 2016, Alzheimer's & Dementia.

[12]  Yong He,et al.  Subjective Cognitive Decline: Mapping Functional and Structural Brain Changes-A Combined Resting-State Functional and Structural MR Imaging Study. , 2016, Radiology.

[13]  R. Costa,et al.  Subjective Memory Complaint and Depressive Symptoms among Older Adults in Portugal , 2015, Current gerontology and geriatrics research.

[14]  K. Yaffe,et al.  Memory complaints and risk of cognitive impairment after nearly 2 decades among older women , 2015, Neurology.

[15]  Nicola Toschi,et al.  Evolving Evidence for the Value of Neuroimaging Methods and Biological Markers in Subjects Categorized with Subjective Cognitive Decline. , 2015, Journal of Alzheimer's disease : JAD.

[16]  Adeel Razi,et al.  Selective vulnerability of Rich Club brain regions is an organizational principle of structural connectivity loss in Huntington’s disease , 2015, Brain : a journal of neurology.

[17]  Armin Scheurich,et al.  Altered whole-brain white matter networks in preclinical Alzheimer's disease , 2015, NeuroImage: Clinical.

[18]  Hiroaki Kazui,et al.  Resting-state synchrony between the retrosplenial cortex and anterior medial cortical structures relates to memory complaints in subjective cognitive impairment , 2015, Neurobiology of Aging.

[19]  Andrew J. Saykin,et al.  Diagnostic Value of Subjective Memory Complaints Assessed with a Single Item in Dominantly Inherited Alzheimer's Disease: Results of the DIAN Study , 2015, BioMed research international.

[20]  E. Reiman,et al.  Disrupted Functional and Structural Networks in Cognitively Normal Elderly Subjects with the APOE ɛ4 Allele , 2015, Neuropsychopharmacology.

[21]  Sterling C. Johnson,et al.  Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle-age adults at risk of AD , 2015, Alzheimer's & dementia.

[22]  L. Williams,et al.  Abnormal Structural Networks Characterize Major Depressive Disorder: A Connectome Analysis , 2014, Biological Psychiatry.

[23]  J. Kwon,et al.  A Preliminary Validity Study of the Cambridge Neuropsychological Test Automated Battery for the Assessment of Executive Function in Schizophrenia and Bipolar Disorder , 2014, Psychiatry investigation.

[24]  Amity E. Green,et al.  Age Effects on Cortical Thickness in Cognitively Normal Elderly Individuals , 2014, Dementia and Geriatric Cognitive Disorders Extra.

[25]  E. Bullmore,et al.  The hubs of the human connectome are generally implicated in the anatomy of brain disorders , 2014, Brain : a journal of neurology.

[26]  T. Yen,et al.  Increased brain amyloid deposition in patients with a lifetime history of major depression: evidenced on 18F-florbetapir (AV-45/Amyvid) positron emission tomography , 2014, European Journal of Nuclear Medicine and Molecular Imaging.

[27]  D. Jeste,et al.  Cognitive Complaints Correlate With Depression Rather Than Concurrent Objective Cognitive Impairment in the Successful Aging Evaluation Baseline Sample , 2014, Journal of geriatric psychiatry and neurology.

[28]  Amanda V. Utevsky,et al.  Precuneus Is a Functional Core of the Default-Mode Network , 2014, The Journal of Neuroscience.

[29]  A. Simmons,et al.  Structural brain changes associated with depressive symptoms in the elderly with Alzheimer’s disease , 2014, Journal of Neurology, Neurosurgery & Psychiatry.

[30]  D. Na,et al.  Are depressive symptomatology and self-focused attention associated with subjective memory impairment in older adults? , 2014, International Psychogeriatrics.

[31]  D. Moser,et al.  Subjective memory complaints, depressive symptoms and cognition in patients attending a memory outpatient clinic , 2013, Journal of the Neurological Sciences.

[32]  S. Costafreda,et al.  Neural correlates of alexithymia: A meta-analysis of emotion processing studies , 2013, Neuroscience & Biobehavioral Reviews.

[33]  Anne Hafkemeijer,et al.  Increased Functional Connectivity and Brain Atrophy in Elderly with Subjective Memory Complaints , 2013, Brain Connect..

[34]  Joaquín Goñi,et al.  Abnormal rich club organization and functional brain dynamics in schizophrenia. , 2013, JAMA psychiatry.

[35]  F. Maestú,et al.  Association of perceived health and depression with older adults’ subjective memory complaints: contrasting a specific questionnaire with general complaints questions , 2013, European Journal of Ageing.

[36]  C. Rowe,et al.  Factors affecting subjective memory complaints in the AIBL aging study: biomarkers, memory, affect, and age , 2013, International Psychogeriatrics.

[37]  Nir Giladi,et al.  Subjective memory complaints in elders: depression, anxiety, or cognitive decline? , 2013, Acta neurologica Scandinavica.

[38]  S. Aoki,et al.  Structural brain abnormalities in women with subclinical depression, as revealed by voxel-based morphometry and diffusion tensor imaging. , 2013, Journal of affective disorders.

[39]  G. Waldemar,et al.  Subjective memory complaints in general practice predicts future dementia: a 4‐year follow‐up study , 2012, International journal of geriatric psychiatry.

[40]  Paul M. Thompson,et al.  A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks , 2012, MICCAI.

[41]  Michael Wagner,et al.  Glucose metabolism, gray matter structure, and memory decline in subjective memory impairment , 2012, Neurology.

[42]  D. Steffens,et al.  Depression, hippocampal volume changes, and cognitive decline in a clinical sample of older depressed outpatients and non-depressed controls , 2012, Aging & mental health.

[43]  J. Bóveda,et al.  Prevalence and Correlates of Cognitive Impairment in Adults with Subjective Memory Complaints in Primary Care Centres , 2012, Dementia and Geriatric Cognitive Disorders.

[44]  Emma Muñoz-Moreno,et al.  Altered small-world topology of structural brain networks in infants with intrauterine growth restriction and its association with later neurodevelopmental outcome , 2012, NeuroImage.

[45]  조은형,et al.  Test/re-test Reliability of the CANTAB Batteries to Evaluate the Neuropsychological Function for Korean Adult , 2012 .

[46]  Jesse A. Brown,et al.  Brain network local interconnectivity loss in aging APOE-4 allele carriers , 2011, Proceedings of the National Academy of Sciences.

[47]  O. Sporns,et al.  Rich-Club Organization of the Human Connectome , 2011, The Journal of Neuroscience.

[48]  Yong He,et al.  Diffusion tensor tractography reveals disrupted topological efficiency in white matter structural networks in multiple sclerosis. , 2011, Cerebral cortex.

[49]  Huafu Chen,et al.  Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy. , 2011, Brain : a journal of neurology.

[50]  Timothy J. Hohman,et al.  Cognitive Complaints, Depressive Symptoms, and Cognitive Impairment: Are They Related? , 2011, Journal of the American Geriatrics Society.

[51]  Å. Hammar,et al.  Patients with Major Depression Show Intact Memory Performance—Given Optimal Conditions , 2011, Applied neuropsychology.

[52]  Shi-Jiang Li,et al.  Neural correlates of the interactive relationship between memory deficits and depressive symptoms in nondemented elderly: Resting fMRI study , 2011, Behavioural Brain Research.

[53]  Amy L. Byers,et al.  Depression and risk of developing dementia , 2011, Nature Reviews Neurology.

[54]  G. Yener,et al.  Impaired digit span can predict further cognitive decline in older people with subjective memory complaint: A preliminary result , 2011, Aging & mental health.

[55]  Carole Dufouil,et al.  Longitudinal neuroimaging correlates of subjective memory impairment: 4-year prospective community study. , 2011, The British journal of psychiatry : the journal of mental science.

[56]  Yong He,et al.  Sex- and brain size-related small-world structural cortical networks in young adults: a DTI tractography study. , 2011, Cerebral cortex.

[57]  Yong He,et al.  Diffusion Tensor Tractography Reveals Abnormal Topological Organization in Structural Cortical Networks in Alzheimer's Disease , 2010, The Journal of Neuroscience.

[58]  Olaf Sporns,et al.  Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.

[59]  Joseph V. Hajnal,et al.  A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T) , 2010, NeuroImage.

[60]  M. Summers,et al.  Attention and working memory deficits in mild cognitive impairment , 2010, Journal of clinical and experimental neuropsychology.

[61]  F. Jessen,et al.  Prediction of dementia by subjective memory impairment: effects of severity and temporal association with cognitive impairment. , 2010, Archives of general psychiatry.

[62]  C. Rowe,et al.  Relationship between atrophy and β‐amyloid deposition in Alzheimer disease , 2010, Annals of neurology.

[63]  Nir Giladi,et al.  Subjective memory decline in healthy community‐dwelling elders. What does this complain mean? , 2010, Acta neurologica Scandinavica.

[64]  Klaus P. Ebmeier,et al.  A meta-analysis of depression severity and cognitive function. , 2009, Journal of affective disorders.

[65]  Christos Davatzikos,et al.  Depressive symptoms and brain volumes in older adults: a longitudinal magnetic resonance imaging study. , 2009, Journal of psychiatry & neuroscience : JPN.

[66]  Keith A. Johnson,et al.  Amyloid Deposition Is Associated with Impaired Default Network Function in Older Persons without Dementia , 2009, Neuron.

[67]  G. Small,et al.  Depression and anxiety symptoms are associated with cerebral FDDNP-PET binding in middle-aged and older nondemented adults. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[68]  Ho-Won Lee,et al.  The Usefulness of The Cambridge Neuropsychological Test Automated Battery (CANTAB) for Assessing Cognitive Functions in the Elderly: a Pilot Study , 2009 .

[69]  M. Ganguli,et al.  Modifiable Midlife Risk Factors for Late-Life Cognitive Impairment and Dementia. , 2009, Current psychiatry reviews.

[70]  D. Y. Lee,et al.  Development of the Subjective Memory Complaints Questionnaire , 2009, Dementia and Geriatric Cognitive Disorders.

[71]  Alan C. Evans,et al.  Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. , 2009, Cerebral cortex.

[72]  O. Sporns,et al.  Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.

[73]  R. Stewart,et al.  Neuroimaging correlates of subjective memory deficits in a community population , 2008, Neurology.

[74]  B. Reisberg,et al.  Current evidence for subjective cognitive impairment (SCI) as the pre-mild cognitive impairment (MCI) stage of subsequently manifest Alzheimer's disease , 2008, International Psychogeriatrics.

[75]  F. Jessen,et al.  Patterns of subjective memory impairment in the elderly: association with memory performance , 2007, Psychological Medicine.

[76]  P. Thiran,et al.  Mapping Human Whole-Brain Structural Networks with Diffusion MRI , 2007, PloS one.

[77]  C Poupon,et al.  Increased white matter connectivity in euthymic bipolar patients: diffusion tensor tractography between the subgenual cingulate and the amygdalo-hippocampal complex , 2007, Molecular Psychiatry.

[78]  M. Marsiske,et al.  Subjective memory beliefs and cognitive performance in normal and mildly impaired older adults , 2006, Aging & mental health.

[79]  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.

[80]  A. Cavanna,et al.  The precuneus: a review of its functional anatomy and behavioural correlates. , 2006, Brain : a journal of neurology.

[81]  Gary Christopher,et al.  The impact of clinical depression on working memory , 2005, Cognitive neuropsychiatry.

[82]  Hiroshi Fukuda,et al.  Male elderly subthreshold depression patients have smaller volume of medial part of prefrontal cortex and precentral gyrus compared with age-matched normal subjects: a voxel-based morphometry. , 2005, Journal of affective disorders.

[83]  Armin von Gunten,et al.  Hippocampal volume and subjective memory impairment in depressed patients , 2004, European Psychiatry.

[84]  K. Kaski,et al.  Intensity and coherence of motifs in weighted complex networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[85]  Richard J. Porter,et al.  Neurocognitive impairment in drug-free patients with major depressive disorder , 2003, British Journal of Psychiatry.

[86]  T. Levine,et al.  Eta Squared, Partial Eta Squared, and Misreporting of Effect Size in Communication Research , 2002 .

[87]  Anand R. Kumar,et al.  Clinically significant non-major depression: old concepts, new insights. , 2002, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[88]  Thomas E. Nichols,et al.  Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.

[89]  Soo Jin Yoon,et al.  Estimating the Validity of the Korean Version of Expanded Clinical Dementia Rating (CDR) Scale , 2001 .

[90]  T. Robbins,et al.  Early Detection and Differential Diagnosis of Alzheimer’s Disease and Depression with Neuropsychological Tasks , 2001, Dementia and Geriatric Cognitive Disorders.

[91]  V. Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[92]  L Cipolotti,et al.  A volumetric study of hippocampus and amygdala in depressed patients with subjective memory problems. , 2000, The Journal of neuropsychiatry and clinical neurosciences.

[93]  P R Houck,et al.  Decreased working memory and processing speed mediate cognitive impairment in geriatric depression , 2000, Psychological Medicine.

[94]  Jin Pyo Hong,et al.  Development of Korean Version of Structured Clinical Interview Schedule for DSM-IV Axis I Disorder: Interrater Reliability , 2000 .

[95]  T. Robbins,et al.  Specific cognitive deficits in mild frontal variant frontotemporal dementia. , 1999, Brain : a journal of neurology.

[96]  L. Bouter,et al.  Association between memory complaints and incident Alzheimer's disease in elderly people with normal baseline cognition. , 1999, The American journal of psychiatry.

[97]  P. V. van Zijl,et al.  Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.

[98]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[99]  J. Morris,et al.  Clinical Dementia Rating: A Reliable and Valid Diagnostic and Staging Measure for Dementia of the Alzheimer Type , 1997, International Psychogeriatrics.

[100]  Adrian M. Owen,et al.  Visuo-spatial short-term recognition memory and learning after temporal lobe excisions, frontal lobe excisions or amygdalo-hippocampectomy in man , 1995, Neuropsychologia.

[101]  P. Rabbitt,et al.  Cambridge Neuropsychological Test Automated Battery (CANTAB): a factor analytic study of a large sample of normal elderly volunteers. , 1994, Dementia.

[102]  S. Young,et al.  On adjusting P-values for multiplicity. Response , 1993 .

[103]  Allan Gustavo Brigola,et al.  Subjective memory complaints associated with depression and cognitive impairment in the elderly: A systematic review , 2015, Dementia & neuropsychologia.

[104]  Jb Kim,et al.  A study on the reliability and the validity of Korean version of the Beck Depression Inventory-II (BDI-II) , 2008 .

[105]  Charless C. Fowlkes,et al.  Feed‐forward hierarchical model of the ventral visual stream applied to functional brain image classification , 2014, Human brain mapping.

[106]  M. Saarinen,et al.  Memory and metamemory functioning among depressed patients. , 1999, Applied neuropsychology.

[107]  Jacob Cohen Measurement Educational and Psychological Educational and Psychological Measurement Eta-squared and Partial Eta-squared in Fixed Factor Anova Designs Educational and Psychological Measurement Additional Services and Information For , 2022 .