Multi-model mapping of phonemic fluency

被引:12
|
作者
Cipolotti, Lisa [1 ,2 ]
Xu, Tianbo [2 ]
Harry, Bronson [3 ]
Mole, Joe [1 ,2 ]
Lakey, Grace [1 ]
Shallice, Tim [4 ,5 ]
Chan, Edgar [1 ,2 ]
Nachev, Parashkev [2 ]
机构
[1] Natl Hosp Neurol & Neurosurg, Dept Neuropsychol, Queen Sq, London WC1N 3BG, England
[2] UCL, Inst Neurol, Dept Brain Repair & Rehabil, London WC1N 3BG, England
[3] Univ Western Sydney, MARCS Inst, Penrith, NSW 2747, Australia
[4] UCL, Inst Cognit Neurosci, London WC1N 3AZ, England
[5] Int Sch Adv Studies SISSA ISAS, I-34136 Trieste, Italy
基金
英国惠康基金;
关键词
frontal lobes; executive functions; fluency; focal lesion; lesion-symptom mapping; FRONTAL-LOBE; VERBAL FLUENCY; COGNITIVE PERFORMANCE; PREFRONTAL CORTEX; CATEGORY FLUENCY; BASAL GANGLIA; LESION; IMPAIRMENT; INFERENCE; LANGUAGE;
D O I
10.1093/braincomms/fcab232
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
The voluntary generation of non-overlearned responses is usually assessed with phonemic fluency. Like most frontal tasks, it draws upon different complex processes and systems whose precise nature is still incompletely understood. Many claimed aspects regarding the pattern of phonemic fluency performance and its underlying anatomy remain controversial. Major limitations of past investigations include small sample size, scant analysis of phonemic output and methodologically insufficient lesion analysis approaches. We investigated a large number of patients with focal unilateral right or left frontal (n = 110) or posterior (n = 100) or subcortical (n = 65) lesions imaged with magnetic resonance or computed tomography and compared their performance on the number of overall responses, words produced over time, extremely infrequent/unknown words and inappropriate words generated. We also employed, for the first time parcel-based lesion-symptom mapping, tract-wise statistical analysis as well as Bayesian multi-variate analysis based on meta-analytically defined functional region of interest, including their interactions. We found that left frontal damage was associated with greater impairment than right frontal or posterior damage on overall fluency performance, suggesting that phonemic fluency shows specificity to frontal lesions. We also found that subcorticals, similar to frontals, performed significantly worse than posteriors on overall performance suggesting that subcortical regions are also involved. However, only frontal effects were found for words produced over time, extremely infrequent/unknown and inappropriate words. Parcel-based lesion-symptom mapping analysis found that worse fluency performance was associated with damage to the posterior segment of the left frontal middle and superior gyrus, the left dorsal anterior cingulate gyrus and caudate nucleus. Tract-wise statistical analysis revealed that disconnections of left frontal tracts are critical. Bayesian multi-variate models of lesions and disconnectome maps implicated left middle and inferior frontal and left dorsomedial frontal regions. Our study suggests that a set of well localized left frontal areas together with subcortical regions and several left frontal tracts are critical for word generation. We speculate that a left lateralized network exists. It involves medial, frontal regions supporting the process of 'energization' , which sustains activation for the duration of the task and middle and inferior frontal regions concerned with 'selection', required due to the competition produced by associated stored words, respectively. The methodology adopted represents a promising and empirically robust approach in furthering our understanding of the neurocognitive architecture underpinning executive processes.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] A multi-model ensemble approach to seabed mapping
    Diesing, Markus
    Stephens, David
    [J]. JOURNAL OF SEA RESEARCH, 2015, 100 : 62 - 69
  • [2] A novel multi-model ensemble framework for fluvial flood inundation mapping
    Mangukiya, Nikunj K.
    Kushwaha, Shashwat
    Sharma, Ashutosh
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 180
  • [3] Multi-model partitioning the multi-model evolutionary framework for intelligent control
    Lainiotis, DG
    [J]. PROCEEDINGS OF THE 2000 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2000, : P15 - P20
  • [4] Semantic and Phonemic Verbal Fluency in Blinds
    Nejati, Vahid
    Asadi, Anoosh
    [J]. JOURNAL OF PSYCHOLINGUISTIC RESEARCH, 2010, 39 (03) : 235 - 242
  • [5] Semantic and Phonemic Verbal Fluency in Blinds
    Vahid Nejati
    Anoosh Asadi
    [J]. Journal of Psycholinguistic Research, 2010, 39 : 235 - 242
  • [6] A Multi-Model Controller
    Delmotte, F.
    Lauber, J.
    Guerra, T. M.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 1526 - 1531
  • [7] Is there disproportionate impairment in semantic or phonemic fluency in schizophrenia?
    Kremen, WS
    Seidman, LJ
    Faraone, SV
    Tsuang, MT
    [J]. JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2003, 9 (01) : 79 - 88
  • [8] Comparison of animal, action and phonemic fluency in aphasia
    Faroqi-Shah, Yasmeen
    Milman, Lisa
    [J]. INTERNATIONAL JOURNAL OF LANGUAGE & COMMUNICATION DISORDERS, 2018, 53 (02) : 370 - 384
  • [9] A comparison of phonemic and semantic verbal fluency in schizophrenia
    Kremen, WS
    Seidman, LJ
    Faraone, SV
    Tsuang, MT
    [J]. BIOLOGICAL PSYCHIATRY, 2002, 51 (08) : 169S - 169S
  • [10] Multi-model approach to model selection
    Stoica, P
    Selén, Y
    Jian, L
    [J]. DIGITAL SIGNAL PROCESSING, 2004, 14 (05) : 399 - 412