A functional MRI study of the relationship between naming treatment outcomes and resting state functional connectivity in post‐stroke aphasia

The majority of studies investigating the neural mechanisms underlying treatment in people with aphasia have examined task‐based brain activity. However, the use of resting‐state fMRI may provide another method of examining the brain mechanisms responsible for treatment‐induced recovery, and allows for investigation into connectivity within complex functional networks

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

[2]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[3]  A. Kertesz.  The Western Aphasia Battery , 1982 .

[4]  E. Kaplan,et al.  The Boston naming test , 2001 .

[5]  J. Morton,et al.  Treatment of word retrieval deficits in aphasia. A comparison of two therapy methods. , 1985, Brain : a journal of neurology.

[6]  T. Crook,et al.  Factors Attenuating the Validity of the Geriatric Depression Scale in a Dementia Population , 1992, Journal of the American Geriatrics Society.

[7]  Richard S. J. Frackowiak,et al.  The neural correlates of the verbal component of working memory , 1993, Nature.

[8]  Mary Boyle,et al.  Application of Semantic Feature Analysis as a Treatment for , 1995 .

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

[10]  Edward E. Smith,et al.  Dissociation of Storage and Rehearsal in Verbal Working Memory: Evidence From Positron Emission Tomography , 1996 .

[11]  Harold Goodglass,et al.  Anomia : neuroanatomical and cognitive correlates , 1997 .

[12]  I. Papathanasiou,et al.  Acquired Neurogenic Communication Disorders: A Clinical Perspective , 1999 .

[13]  D. Howard.  Cognitive neuropsychology and aphasia therapy: the case of word retrieval , 2000 .

[14]  J. Grafman,et al.  Conceptualizing functional neuroplasticity. , 2000, Journal of communication disorders.

[15]  M. Corbetta,et al.  Neural correlates of recovery from aphasia after damage to left inferior frontal cortex , 2000, Neurology.

[16]  C. Coelho,et al.  Semantic feature analysis as a treatment for aphasic dysnomia: A replication , 2000 .

[17]  D. Howard,et al.  Phonological therapy for word-finding difficulties: A re-evaluation , 2002 .

[18]  Lyndsey Nickels,et al.  Therapy for naming disorders: Revisiting, revising, and reviewing , 2002 .

[19]  Abraham Z. Snyder,et al.  Word Retrieval Learning Modulates Right Frontal Cortex in Patients with Left Frontal Damage , 2002, Neuron.

[20]  C. Curtis,et al.  Persistent activity in the prefrontal cortex during working memory , 2003, Trends in Cognitive Sciences.

[21]  D. Copland.  The basal ganglia and semantic engagement: Potential insights from semantic priming in individuals with subcortical vascular lesions, Parkinson's disease, and cortical lesions , 2003, Journal of the International Neuropsychological Society.

[22]  J. Fiez,et al.  Using neuroimaging to evaluate models of working memory and their implications for language processing , 2003, Journal of Neurolinguistics.

[23]  Daniel Herron,et al.  A new on-line resource for psycholinguistic studies. , 2004, Journal of memory and language.

[24]  G. Porter,et al.  The Comprehensive Aphasia Test , 2005 .

[25]  P. Matthews,et al.  Blood oxygenation level dependent contrast resting state networks are relevant to functional activity in the neocortical sensorimotor system , 2005, Experimental Brain Research.

[26]  Peter B Barker,et al.  Restoring Cerebral Blood Flow Reveals Neural Regions Critical for Naming , 2006, The Journal of Neuroscience.

[27]  Bernard Mazoyer,et al.  Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing , 2006, NeuroImage.

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

[29]  Yuan Zhou,et al.  Functional disintegration in paranoid schizophrenia using resting-state fMRI , 2007, Schizophrenia Research.

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

[31]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[32]  Daniel L. Rubin,et al.  Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease , 2008, PLoS Comput. Biol..

[33]  L. Laird,et al.  Treating naming impairments in aphasia: Findings from a phonological components analysis treatment , 2008 .

[34]  Volkmar Glauche,et al.  Ventral and dorsal pathways for language , 2008, Proceedings of the National Academy of Sciences.

[35]  Bradley R. Buchsbaum,et al.  The Search for the Phonological Store: From Loop to Convolution , 2008, Journal of Cognitive Neuroscience.

[36]  Gregory Hickok,et al.  Neural correlates of word production stages delineated by parametric modulation of psycholinguistic variables , 2009, Human brain mapping.

[37]  Jennifer T. Crinion,et al.  Anterior temporal lobe connectivity correlates with functional outcome after aphasic stroke , 2009, Brain : a journal of neurology.

[38]  W. Ziegler,et al.  Semantic vs. word-form specific techniques in anomia treatment: A multiple single-case study , 2009, Journal of Neurolinguistics.

[39]  A. Raymer,et al.  Lesion characteristics related to treatment improvement in object and action naming for patients with chronic aphasia , 2009, Brain and Language.

[40]  Agnes Flöel,et al.  Integrity of the hippocampus and surrounding white matter is correlated with language training success in aphasia , 2010, NeuroImage.

[41]  Nick F. Ramsey,et al.  Contribution of the left and right inferior frontal gyrus in recovery from aphasia. A functional MRI study in stroke patients with preserved hemodynamic responsiveness , 2010, NeuroImage.

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

[43]  Julius Fridriksson,et al.  Preservation and Modulation of Specific Left Hemisphere Regions is Vital for Treated Recovery from Anomia in Stroke , 2010, The Journal of Neuroscience.

[44]  Christopher S. Monk,et al.  Alterations of resting state functional connectivity in the default network in adolescents with autism spectrum disorders , 2010, Brain Research.

[45]  S. Scott,et al.  Increased frontoparietal integration after stroke and cognitive recovery , 2010, Annals of neurology.

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

[47]  Á. Pascual-Leone,et al.  Longitudinal Changes of Resting-State Functional Connectivity During Motor Recovery After Stroke , 2011, Stroke.

[48]  Peter E Turkeltaub,et al.  Are networks for residual language function and recovery consistent across aphasic patients? , 2011, Neurology.

[49]  A. Turken,et al.  The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses , 2011, Front. Syst. Neurosci..

[50]  Xi-Nian Zuo,et al.  Resting-State Functional Connectivity Indexes Reading Competence in Children and Adults , 2011, The Journal of Neuroscience.

[51]  D C Good,et al.  Changes in resting connectivity during recovery from severe traumatic brain injury. , 2011, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

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

[53]  Maurizio Corbetta,et al.  Why use a connectivity-based approach to study stroke and recovery of function? , 2012, NeuroImage.

[54]  A. Caramazza,et al.  Predicting Conceptual Processing Capacity from Spontaneous Neuronal Activity of the Left Middle Temporal Gyrus , 2012, The Journal of Neuroscience.

[55]  G. Wylie,et al.  Increased functional connectivity within memory networks following memory rehabilitation in multiple sclerosis , 2012, Brain Imaging and Behavior.

[56]  Nina F. Dronkers,et al.  Grey and white matter correlates of picture naming: Evidence from a voxel-based lesion analysis of the Boston Naming Test , 2013, Cortex.

[57]  Habib Benali,et al.  Default-mode network functional connectivity in aphasia: Therapy-induced neuroplasticity , 2013, Brain and Language.

[58]  Todd B. Parrish,et al.  Neuroimaging in aphasia treatment research: Consensus and practical guidelines for data analysis , 2013, NeuroImage.

[59]  K. Mcmahon,et al.  Neuropsychological Rehabilitation: an International Journal a Comparison of Semantic Feature Analysis and Phonological Components Analysis for the Treatment of Naming Impairments in Aphasia a Comparison of Semantic Feature Analysis and Phonological Components Analysis for the Treatment of Naming Imp , 2022 .