[Skip to Navigation]
Sign In
Figure 1. 
Areas of significantly reduced gray matter volume in patients with corticobasal syndrome compared with healthy control subjects. Threshold was 50 voxels; areas significant when corrected for multiple comparisons with the family-wise error correction at the .05 level are shown in red.

Areas of significantly reduced gray matter volume in patients with corticobasal syndrome compared with healthy control subjects. Threshold was 50 voxels; areas significant when corrected for multiple comparisons with the family-wise error correction at the .05 level are shown in red.

Figure 2. 
Areas of reduced gray matter volume associated with reduced score on the Test of Oral and Limb Apraxia. With the areas from Figure 1 used as the region of interest, the gray matter densities in the areas shown negatively correlated significantly with the Test of Oral and Limb Apraxia composite standard score. Areas displayed in red are significant at an uncorrected P < .001 level with a threshold of 20 voxels and survive false discovery rate correction.

Areas of reduced gray matter volume associated with reduced score on the Test of Oral and Limb Apraxia. With the areas from Figure 1 used as the region of interest, the gray matter densities in the areas shown negatively correlated significantly with the Test of Oral and Limb Apraxia composite standard score. Areas displayed in red are significant at an uncorrected P < .001 level with a threshold of 20 voxels and survive false discovery rate correction.

Figure 3. 
Correlation between Test of Oral and Limb Apraxia (TOLA) composite standard score and gray matter density in patients with corticobasal syndrome in brain areas found to have significantly reduced volume associated with the TOLA composite standard score in the voxel-based morphometry analysis (r = 0.53, P = .01). The TOLA composite standard scores have been normalized to the mean.

Correlation between Test of Oral and Limb Apraxia (TOLA) composite standard score and gray matter density in patients with corticobasal syndrome in brain areas found to have significantly reduced volume associated with the TOLA composite standard score in the voxel-based morphometry analysis (r = 0.53, P = .01). The TOLA composite standard scores have been normalized to the mean.

Table 1. 
Subject Characteristics
Subject Characteristics
Table 2. 
TOLA Scoresa
TOLA Scoresa
Table 3. 
Areas of Reduced Gray Matter Volume
Areas of Reduced Gray Matter Volume
1.
Boeve  BF Corticobasal degeneration: the syndrome and the disease. Litvan  I Atypical Parkinsonian Disorders Clinical and Research Aspects. Totowa, NJ Humana Press Inc2005;309- 334Google Scholar
2.
Litvan  IBhatia  KPBurn  DJ  et al. Movement Disorders Society Scientific Issues Committee, Movement Disorders Society Scientific Issues Committee report: SIC Task Force appraisal of clinical diagnostic criteria for parkinsonian disorders.  Mov Disord 2003;18 (5) 467- 486PubMedGoogle ScholarCrossref
3.
Dickson  DWBergeron  CChin  SS  et al. Office of Rare Diseases of the National Institutes of Health, Office of Rare Diseases neuropathologic criteria for corticobasal degeneration.  J Neuropathol Exp Neurol 2002;61 (11) 935- 946PubMedGoogle Scholar
4.
Kertesz  A McMonagle  PBlair  MDavidson  WMunoz  DG The evolution and pathology of frontotemporal dementia.  Brain 2005;128 (pt 9) 1996- 2005PubMedGoogle ScholarCrossref
5.
Pharr  VUttl  BStark  MLitvan  IFantie  BGrafman  J Comparison of apraxia in corticobasal degeneration and progressive supranuclear palsy.  Neurology 2001;56 (7) 957- 963PubMedGoogle ScholarCrossref
6.
Leiguarda  RLees  AJMerello  MStarkstein  SMarsden  CD The nature of apraxia in corticobasal degeneration.  J Neurol Neurosurg Psychiatry 1994;57 (4) 455- 459PubMedGoogle ScholarCrossref
7.
Soliveri  PPiacentini  SGirotti  F Limb apraxia in corticobasal degeneration and progressive supranuclear palsy.  Neurology 2005;64 (3) 448- 453PubMedGoogle ScholarCrossref
8.
Peigneux  PSalmon  EGarraux  G  et al.  Neural and cognitive bases of upper limb apraxia in corticobasal degeneration.  Neurology 2001;57 (7) 1259- 1268PubMedGoogle ScholarCrossref
9.
Gonzalez Rothi  LJOchipa  CHeilman  KM A cognitive neuropsychological model of limb praxis.  Cogn Neuropsychol 1991;8 (6) 443- 458Google ScholarCrossref
10.
Zadikoff  CLang  AE Apraxia in movement disorders.  Brain 2005;128 (pt 7) 1480- 1497PubMedGoogle ScholarCrossref
11.
Ochipa  CRothi  LJHeilman  KM Conceptual apraxia in Alzheimer's disease.  Brain 1992;115 (pt 4) 1061- 1071PubMedGoogle ScholarCrossref
12.
Leipmann  H Apraxia.  Ergeb Ges Med 1920;1516- 543Google Scholar
13.
Heilman  KMRothi  LJValenstein  E Two forms of ideomotor apraxia.  Neurology 1982;32 (4) 342- 346PubMedGoogle ScholarCrossref
14.
Jacobs  DHAdair  JCMacauley  BGold  MGonzalez Rothi  LJHeilman  KM Apraxia in corticobasal degeneration.  Brain Cogn 1999;40 (2) 336- 354PubMedGoogle ScholarCrossref
15.
Heilman  KMRothi  LJG Apraxia. Heilman  KMValenstein  E Clinical Neuropsychology. New York, NY Oxford University Press1985;131- 150Google Scholar
16.
Rothi  LJOchipa  CHeilman  KM A cognitive neuropsychological model of limb praxis and apraxia. Rothi  LJHeilman  KM Apraxia The Neuropsychology of Action. East Sussex, England Psychology Press1997;29- 50Google Scholar
17.
De Renzi  EFaglioni  PLodesani  MVecchi  A Performance of left brain-damaged patients on imitation of single movements and motor sequences: frontal and parietal-injured patients compared.  Cortex 1983;19 (3) 333- 343PubMedGoogle ScholarCrossref
18.
Leiguarda  RCMarsden  CD Limb apraxias: higher-order disorders of sensorimotor integration.  Brain 2000;123 (pt 5) 860- 879PubMedGoogle ScholarCrossref
19.
Haaland  KYHarrington  DLKnight  RT Neural representations of skilled movement.  Brain 2000;123 (pt 11) 2306- 2313PubMedGoogle ScholarCrossref
20.
Kolb  BMilner  B Performance of complex arm and facial movements after focal brain lesions.  Neuropsychologia 1981;19 (4) 491- 503PubMedGoogle ScholarCrossref
21.
Heilman  KMRothi  LJ Apraxia. Heilman  KMValenstein  E Clinical Neuropsychology. New York, NY Oxford University Press1993;215- 235Google Scholar
22.
Kertesz  AFerro  JM Lesion size and location in ideomotor apraxia.  Brain 1984;107 (pt 3) 921- 933PubMedGoogle ScholarCrossref
23.
Moll  JDe Oliveira-Souza  RDe Souza-Lima  FAndreiuolo  PA Activation of left intraparietal sulcus using a fMRI conceptual praxis paradigm.  Arq Neuropsiquiatr 1998;56 (4) 808- 811PubMedGoogle ScholarCrossref
24.
Hanna-Pladdy  BHeilman  KMFoundas  AL Cortical and subcortical contributions to ideomotor apraxia: analysis of task demands and error types.  Brain 2001;124 (pt 12) 2513- 2527PubMedGoogle ScholarCrossref
25.
Rothi  LJHeilman  KMWatson  RT Pantomime comprehension and ideomotor apraxia.  J Neurol Neurosurg Psychiatry 1985;48 (3) 207- 210PubMedGoogle ScholarCrossref
26.
Blondel  AEustache  FSchaeffer  SMarie  RMLechevalier  Bde la Sayette  V Clinical and cognitive study of apraxia in cortico-basal atrophy: a selective disorder of the production system [in French].  Rev Neurol (Paris) 1997;153 (12) 737- 747PubMedGoogle Scholar
27.
Pillon  BBlin  JVidailhet  M  et al.  The neuropsychological pattern of corticobasal degeneration: comparison with progressive supranuclear palsy and Alzheimer's disease.  Neurology 1995;45 (8) 1477- 1483PubMedGoogle ScholarCrossref
28.
Gonzalez Rothi  LJOchipa  CHeilman  KM A Cognitive Neuropsychological Model of Limb Praxia and Apraxia.  Hove, England Psychology Press1997;
29.
Buxbaum  LJKyle  KGrossman  MCoslett  HB Left inferior parietal representations for skilled hand-object interactions: evidence from stroke and corticobasal degeneration.  Cortex 2007;43 (3) 411- 423PubMedGoogle ScholarCrossref
30.
Roy  EASquare  PA Common considerations in the study of limb, verbal, and oral apraxia. Roy  EA Neuropsychological Studies of Apraxia and Related Disorders. Amsterdam, the Netherlands North-Holland1985;Google Scholar
31.
Helm-Estabrooks  N Test of Oral and Limb Apraxia Normed Edition.  Chicago, IL Riverside Publishing Co1992;
32.
Ashburner  JFriston  KJ Unified segmentation.  Neuroimage 2005;26 (3) 839- 851PubMedGoogle ScholarCrossref
33.
Ridgway  GRHenley  SMRohrer  JDScahill  RIWarren  JDFox  NC Ten simple rules for reporting voxel-based morphometry studies.  Neuroimage 2008;40 (4) 1429- 1435PubMedGoogle ScholarCrossref
34.
Ashburner  JFriston  KJ Why voxel-based morphometry should be used.  Neuroimage 2001;14 (6) 1238- 1243PubMedGoogle ScholarCrossref
35.
Genovese  CRLazar  NANichols  T Thresholding of statistical maps in functional neuroimaging using the false discovery rate.  Neuroimage 2002;15 (4) 870- 878PubMedGoogle ScholarCrossref
36.
Friston  KJAshburner  JTStefan  JKNichols  TEPenny  WD Statistical Parametric Mapping: The Analysis of Functional Brain Images.  London, England Academic Press2007;
37.
Boxer  ALGeschwind  MDBelfor  N  et al.  Patterns of brain atrophy that differentiate corticobasal degeneration syndrome from progressive supranuclear palsy.  Arch Neurol 2006;63 (1) 81- 86PubMedGoogle ScholarCrossref
38.
Josephs  KADuffy  JRStrand  EA  et al.  Clinicopathological and imaging correlates of progressive aphasia and apraxia of speech.  Brain 2006;129 (pt 6) 1385- 1398PubMedGoogle ScholarCrossref
39.
Josephs  KAWhitwell  JLDickson  DW  et al.  Voxel-based morphometry in autopsy proven PSP and CBD.  Neurobiol Aging 2008;29 (2) 280- 289Google ScholarCrossref
40.
Pazzaglia  MSmania  NCorato  EAglioti  SM Neural underpinnings of gesture discrimination in patients with limb apraxia.  J Neurosci 2008;28 (12) 3030- 3041PubMedGoogle ScholarCrossref
41.
Watson  RTFleet  WSGonzalez-Rothi  LHeilman  KM Apraxia and the supplementary motor area.  Arch Neurol 1986;43 (8) 787- 792PubMedGoogle ScholarCrossref
42.
Masdeu  JCSchoene  WCFunkenstein  H Aphasia following infarction of the left supplementary motor area: a clinicopathologic study.  Neurology 1978;28 (12) 1220- 1223PubMedGoogle ScholarCrossref
43.
Schiff  HBAlexander  MPNaeser  MAGalaburda  AM Aphemia: clinical-anatomic correlations.  Arch Neurol 1983;40 (12) 720- 727PubMedGoogle ScholarCrossref
44.
Tognola  GVignolo  LA Brain lesions associated with oral apraxia in stroke patients: a clinico-neuroradiological investigation with the CT scan.  Neuropsychologia 1980;18 (3) 257- 272PubMedGoogle ScholarCrossref
45.
Borroni  BGaribotto  VAgosti  C  et al.  White matter changes in corticobasal degeneration syndrome and correlation with limb apraxia.  Arch Neurol 2008;65 (6) 796- 801PubMedGoogle ScholarCrossref
Original Contribution
October 2009

Association of Ideomotor Apraxia With Frontal Gray Matter Volume Loss in Corticobasal Syndrome

Author Affiliations

Author Affiliations: Cognitive Neuroscience Section (Drs Huey, Pardini, Wassermann, Kapogiannis, and Grafman and Ms Cavanagh) and Brain Stimulation Unit (Drs Wassermann and Kapogiannis), National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland; Litwin-Zucker Research Center for the Study of Alzheimer's Disease and Memory Disorders, The Feinstein Institute for Medical Research, Manhasset, New York (Dr Huey); Magnetic Resonance Research Centre on Nervous System Diseases and Department of Neurosciences, Ophthalmology, and Genetics, University of Genoa, Genoa, Italy (Dr Pardini); Department of Neurological, Neurosurgical, and Behavioral Sciences, University of Siena, Siena, Italy (Dr Spina); and Indiana Alzheimer Disease Center, Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis (Drs Spina and Ghetti).

Arch Neurol. 2009;66(10):1274-1280. doi:10.1001/archneurol.2009.218
Abstract

Objective  To determine the brain areas associated with specific components of ideomotor apraxia (IMA) in corticobasal syndrome (CBS).

Design  Case-control and cross-sectional study.

Participants  Forty-eight patients with CBS and 14 control subjects.

Intervention  Administration of the Test of Oral and Limb Apraxia.

Main Outcome Measures  Differences between patients with CBS and healthy controls and associations between areas of gray matter volume and IMA determined by voxel-based morphometry in patients with CBS.

Results  Overall, IMA was associated with decreased gray matter volume in the left supplemental motor area, premotor cortex, and caudate nucleus of patients with CBS. The overall degree of apraxia was independent of the side of motor impairment. Praxis to imitation (vs command) was particularly impaired in the patients with CBS. Patients demonstrated equal impairment in transitive and intransitive praxis.

Conclusions  In patients with CBS, IMA is associated with left posterior frontal cortical and subcortical volume loss. Despite showing left frontal volume loss associated with IMA, patients with CBS have particularly impaired imitation of gestures. These findings suggest either that the IMA of CBS affects a route of praxis that bypasses motor engrams or that motor engrams are affected but that they exist in areas other than the inferior parietal cortex.

Corticobasal syndrome (CBS) is a rare neurologic disorder characterized by progressive asymmetric apraxia and rigidity with other findings of cortical (eg, alien limb, cortical sensory loss, myoclonus, and mirror movements) and basal ganglia (eg, bradykinesia and increased resistance to passive movement) dysfunction.1,2 Corticobasal syndrome is defined as a clinical syndrome arising from dysfunction of specific brain areas. It is associated with the neuropathological changes of corticobasal degeneration3; however, the clinical syndrome of CBS can be observed with other underlying pathological conditions.4

Apraxia is a core clinical feature of CBS1,2,5-8 and is defined as impaired production of purposeful skilled movements that is not explained by deficits in elemental motor functions, sensation, cognition, or language.6 Apraxia has been classified into different types: oral, limb-kinetic (loss of hand and finger dexterity), ideomotor (IMA) (deficits in executing goal-directed movements characterized by the presence of temporal and/or spatial errors as well as improper spatial orientation and use of body parts as objects),9 ideational (failure to sequence task elements correctly),7,10 and conceptual (failure to use tools correctly).11

Ideomotor apraxia is the most commonly observed type of apraxia in CBS,5,6 as well as the most studied.10 Several researchers have proposed that successful praxis often involves the use of motor engrams.12-14 The term engram has been variably defined in the literature. In this study, we define an engram as a “visuokinesthetic motor memory” of a previously performed action that facilitates reproduction of the action.13,15 It has been proposed that these engrams are contained in the left inferior parietal lobe13,16 and communicated to premotor and motor areas that are important in programming the movements coded for by the parietal representation.13 In support of this theory, the left parietal lobe is the lesion site most commonly associated with apraxia,17-22 and the left parietal lobe is activated with praxis in healthy individuals.23 However, damage to the left frontal cortex, especially the left middle frontal gyrus,19 and subcortical structures24 is also sufficient to cause IMA in the absence of parietal lesions.18

If motor engrams are damaged (from injury to the left inferior parietal lobe), patients should have impairment of gesture recognition, whereas frontal lesions should be associated with apraxia with preserved gesture recognition.13,14 Thus, patients with IMA from frontal damage should be able to recognize gestures and perform them to imitation more easily than to command.13,25 Two studies found that patients with CBS had IMA to command to a greater degree than to imitation or recognizing actions, suggesting a relative preservation of movement representations,6,14 implicating frontal rather than parietal damage (although this was not directly tested). A deficit of functions associated with the frontal lobe in patients with CBS has been linked with apraxia.6,26,27

In the 2-route model,9,28,29 separate routes are proposed for gesture production and imitation depending on whether the gesture has meaning. The indirect or “lexical” route, associated with the inferior parietal lobe, is used to process meaningful gestures and has access to information about the gesture, including engrams. Damage to this route can produce “representational” IMA characterized by greater impairment of transitive (involving objects or tools) than intransitive (symbolic) gestures and equal impairment in the imitation of meaningful and meaningless gestures.29 The direct route, associated with frontoparietal structures, is used for the processing of meaningless gestures and bypasses engramatic information. Damage to this route can produce “dynamic” IMA, which is characterized by equal impairment of transitive and intransitive gestures, but an advantage in imitating meaningful gestures.29 This model is similar to that proposed for language processing in which patients with transcortical sensory aphasia can repeat words without understanding them.9 Other researchers have also proposed models of praxis that posit the utilization of separate systems of action knowledge and perceptual and motor processes to perform actions.30

This study attempts to better characterize IMA in CBS and elucidate its neuroanatomic basis. Corticobasal syndrome is a good system in which to examine the relative contributions of frontal and parietal cortices to IMA because the patients often have both posterior frontal and parietal dysfunction. A second goal is to integrate these findings into current theories of IMA. Specifically, we hypothesize that if the patients have IMA associated with dysfunction of engrams contained in the inferior parietal cortex, they should have especially poor praxis to imitation and equal impairment in the production of meaningful and meaningless gestures (ie, representational IMA). If their IMA is more associated with frontal dysfunction, they should show an advantage in producing gestures to imitation compared with command and meaningful gestures compared with meaningless gestures (ie, dynamic IMA).

Methods
Subjects

Forty-eight patients with CBS seen consecutively in the National Institute of Neurological Disorders and Stroke Cognitive Neuroscience Section clinic participated. All were enrolled in an ongoing natural history study of CBS and related disorders. Patients were referred by outside physicians or self-referred. The diagnosis was confirmed by a neurologist with expertise in movement disorders and behavioral neurology (E.M.W.) and a neuropsychologist (J.G.) according to published criteria.1 All patients assigned durable power of attorney before enrollment and assignees gave written informed consent for the study, which was approved by the institutional review board of the National Institute of Neurological Disorders and Stroke. Demographic and clinical data are presented in Table 1. Five patients died and their brains were obtained at autopsy. All of them had a neuropathological diagnosis of corticobasal degeneration, according to standard criteria.3 The healthy control subjects were recruited from the local community by advertisement and were age and education matched to the patients (Table 1). All healthy controls underwent an interview and neurologic examination. The exclusion criteria for the patients with CBS included a diagnosis of any neurodegenerative illness other than CBS, lack of a caregiver who could assist with participation in the study, behavioral symptoms that would preclude data collection, and any other medical or social condition that would, in the opinion of the investigators, preclude participation. The exclusion criteria for the healthy controls included any active neurologic or psychiatric condition, use of any neurologic or psychiatric medications, and significant abnormalities on neurologic examination, magnetic resonance imaging, or neuropsychological testing.

Apraxia assessment

The measure of apraxia used in this study was the Test of Oral and Limb Apraxia (TOLA).31 In the TOLA, each subject was asked to perform each gesture first to verbal command (eg, “show me how you would wave ‘goodbye’”) and then to imitation (eg, “I want you to imitate the following gesture”). The gestures were all meaningful (ie, nonsense gestures were not evaluated). The TOLA31 consists of 6 categories of tasks performed to both command and imitation: proximal intransitive (eg, salute), proximal transitive (eg, stir a gallon of paint), distal intransitive (eg, make an “OK” sign), distal transitive (eg, dial a telephone), oral nonrespiratory (eg, bite an apple), and oral respiratory (eg, blow out a candle). In addition, subjects were shown pictures of an object and told, “Now I’m going to show you some pictures. Each picture shows an object that can be represented with a gesture. For example, here is a picture of a pen. If I were to represent it with a gesture without talking, I would do this.” (Make an appropriate gesture.) “Now, you make a gesture to represent this picture.”31 For this “gestured pictures” task, 3 categories were tested: proximal (eg, a meat grinder), distal (eg, tweezers), and oral (eg, toothbrush). Patients were instructed to use the nondominant hand to perform the actions. If this hand was too impaired to perform the task, the dominant hand was used. Table 1 shows the distribution of hands tested. On all transitive oral gestures (eg, licking an ice cream cone), the patient was restrained from cueing himself or herself by pretending to hold the object. The TOLA was administered and scored by trained bachelor’s- to master’s-level research assistants (including A.C.). All subject gestures were given a score of 0 to 3, where 3 represents normal performance; 2 represents noticeable errors, hesitancy, or self-correction; 1 represents a movement that retains some basic elements but is largely disordered; and 0 represents a movement that lacks all crucial elements of the gesture. The TOLA has been tested on healthy controls and patients with apraxia and has been demonstrated to have content, predictive, concurrent, and construct validity for the measurement of IMA.31 Patients who did not appear to understand the TOLA instructions were not included in the analysis, although this excluded only 1 subject.

In a previous study, the TOLA was normed in a sample of 145 patients with apraxia (139 from stroke, 6 from other causes) and 21 healthy subjects.31 A “standard score” was developed for the total score and several subtests (see Table 2 for a comparison of the patients with CBS from our study with the patients and healthy controls from the normative TOLA sample). The TOLA composite standard score is derived from the raw scores and assigned a mean of 100 and a standard deviation of 15 in the normative patient sample. The standard subscores have a mean of 10 and a standard deviation of 3 in the normative patient sample. We compared the patients with CBS vs the healthy controls and patient populations from the TOLA normative sample with 1-tailed (between patients with CBS and healthy controls) and 2-tailed (between patients with CBS and the standardization sample of patients) t tests on 5 of the TOLA summary measures (Table 2).

To determine whether severity of apraxia differed between patients with CBS with predominantly left vs right hand affected, the TOLA composite standard score was compared in right-handed subjects with left-hand impairment (25 patients) vs right-handed subjects with right-hand impairment (21 patients) by the use of a 2-tailed t test.

Imaging

A 1.5-T magnetic resonance imager (GE Medical Systems, Milwaukee, Wisconsin) and standard quadrature head coil were used to obtain all images. A T1-weighted spoiled gradient-echo sequence was used to generate 124 contiguous 1.5-mm-thick axial sections (repetition time, 6.1 milliseconds; echo time, minimum full; flip angle, 20°; field of view, 240 mm; 124 sections; section thickness, 1.5 mm; matrix size, 256 × 256 × 124).

Voxel-based morphometry (VBM) analysis of the data was performed with SPM5 (http://www.fil.ion.ucl.ac.uk/spm/software/spm5) and followed the principles outlined by Ridgway et al.33 Except as noted subsequently, all default SPM5 options were used. Images were segmented into gray matter, white matter, and cerebrospinal fluid. In SPM5, spatial normalization, segmentation, and modulation are processed by means of a unified segmentation algorithm.32 This algorithm, in contrast to optimized VBM used in SPM2 (in which the steps are completed sequentially), simultaneously calculates image registration, tissue classification, and bias correction by using our participants' structural magnetic resonance images combined with the tissue probability maps provided in SPM5. The segmented and modulated normalized gray matter images were smoothed with a 12-mm full-width at half-maximum gaussian kernel. An explicit mask encompassing the entire brain was used in the analyses to control for background signal outside the brain. This mask was downloaded from the SPM5 Anatomic Automatic Labeling toolbox (http://www.cyceron.fr/web/aal__anatomical_automatic_labeling.html). A 0.05 explicit absolute threshold for masking was used in the SPM second-level model interface.34 Total intracranial volume was calculated in SPM5 from the unsmoothed, modulated gray matter, white matter, and cerebrospinal fluid images from each patient and used as a nuisance variable to account for the possible effect of varying brain volumes. We corrected the statistical significance thresholds for multiple comparisons correction by 2 methods widely used in the neuroimaging community: the false discovery rate and the family-wise error correction. The false discovery rate is the proportion of false-positive results among those tests for which the null hypothesis is rejected,35 whereas the family-wise error correction, which computes a correction for all voxels controlling for the chance of any false-positive results, is the most stringent correction for multiple comparisons available in SPM.36

First, the images from the patient group were compared with the images of a group of 14 age-matched healthy controls by means of a 2-sample t test. Statistical threshold for this analysis was set at P < .05, family-wise error–corrected for multiple comparisons. All subsequent analyses were limited to these areas of significant gray matter volume reduction. Especially stringent significance and voxel thresholds were used when patients with CBS were compared with healthy controls because the differences between the patients with CBS and the controls were sufficiently large that using less stringent significance and voxel thresholds resulted in much of the brain being detected as significantly different between patients and controls. Figure 1 shows images and areas of significant differences between the patients with CBS and the healthy controls. The relationship between voxel values and TOLA composite standard score was examined by means of a separate 1-tailed t test, assuming that worsening praxis would be associated with decreased tissue volume. Total intracranial volume was added as a covariate of no interest. For this analysis, we considered as significant those voxels surviving a threshold of both P < .001 uncorrected at voxel level and P < .05 false discovery rate–corrected for multiple comparisons. All clusters reported were composed of at least 20 voxels (Figure 2).

Results
Apraxia assessment

As shown in Table 2, patients with CBS performed significantly worse than the healthy controls on the TOLA measures (TOLA imitation: t = 13.6, P = .01; command: t = 11.4, P = .01; oral: t = 6.1, P = .01; limb: t = 13.6, P = .01). We were unable to perform a t test on the TOLA composite standard score between the patients with CBS and healthy controls because the normative data do not allow the computation of a standard deviation on this derived measure for the healthy controls. However, the mean for the healthy controls on this measure is greater than 2 standard deviations above that of the patients with CBS. When compared with the TOLA standardization sample, patients with CBS had significantly lower scores on the imitation (t = 4.31, P = .01) and limb (t = 4.31, P = .01) measures. Within the CBS patient group, the limb scores were depressed compared with the oral scores (t = 6.3, P < .05) and the imitation scores were depressed compared with the command scores (t = 10.3, P < .05). No other significant differences were observed.

No significant difference (t = 0.89, P = .38) in TOLA composite standard score was observed between right-handed patients with primarily right-hand impairment (mean [SD] score, 98.4 [9.0]) and right-handed patients with primarily left-hand impairment (101.3 [11.3]).

Imaging

The VBM analysis showed patients with CBS to have reduced gray matter volume in the posterior frontal lobes (including supplemental motor area and dorsal premotor and prefrontal cortex) and anterior parietal lobes (including postcentral gyrus and superior parietal lobule) compared with healthy controls (Figure 1, Table 3). Significantly reduced gray matter densities were also found in the superior temporal and fusiform gyri, caudate nucleus, thalamus, and cerebellum (Figure 1, Table 3).

The TOLA composite standard score (total IMA) correlated with decreased gray matter volume in the left middle frontal and precentral gyri and the left caudate nucleus of patients with CBS (Figure 2, Figure 3, and Table 3). The TOLA limb score showed areas of decreased gray matter very similar to those associated with the TOLA composite standard score, likely reflecting the large contribution of limb IMA to total IMA. The VBM analyses of TOLA proximal, distal, transitive, intransitive, and oral scores did not show associations with areas of gray matter volume loss that survived false discovery rate correction (data not shown).

Comment

Our data are consistent with previous imaging1,37-39 and autopsy1,3 studies on patients with CBS; compared with the healthy subjects, the patients showed the greatest decrease of gray matter surrounding the dorsal precentral and postcentral gyri bilaterally, with additional volume decreases in the caudate nucleus, cerebellum, and frontal, temporal, and parietal lobes. The frontal and occipital poles were spared. Although the basal ganglia are commonly affected in CBS, cerebellar atrophy is less commonly observed.1

Within the regions found to have decreased gray matter volume in the patients with CBS compared with healthy controls, greater total IMA was associated with lower volume in the left supplemental motor area, dorsal premotor cortex, and caudate nucleus (Figures 2 and 3, and Table 3). The predominance of left hemisphere findings in Figure 2 (even though, as seen in Figure 1, the patients with CBS as a group showed bilateral volume changes) is consistent with the dominant role of the left hemisphere in praxis,18 especially since the left hand was tested in most patients (Table 1). Damage to the left posterior frontal lobe (see Leiguarda and Marsden18 for a review) and basal ganglia24 have been associated with apraxia in illnesses other than CBS. The specific role of the basal ganglia in apraxia remains unclear. However, damage to the basal ganglia usually results in apraxia with preservation of imitation and discrimination, suggesting that the basal ganglia do not contain motor engrams.24 The lack of significant imaging findings associated with most of the TOLA submeasures may reflect that this study did not have sufficient subjects to adequately power these analyses. Future studies may disclose informative associations between these measures and gray matter volume.

Previous studies of IMA (mostly from patients with stroke) have found the strongest association between left inferior parietal damage and IMA.18 Our data suggest that patients with CBS have a more “frontal” form of IMA than patients who are apraxic secondary to other neurologic disorders. However, the patients with CBS did not show preservation of praxis to imitation compared with the standardization TOLA apraxia sample. This finding supports the report of Pazzaglia et al,40 which showed a similar finding in patients with left frontal lesions. A difference between the current study and that of Pazzaglia et al40 is that the lesions most associated with gestural comprehension deficits in that study were more inferior in the frontal cortex than found in the present study. This could reflect that the left frontal lesion distribution in that study was more inferior than the atrophy observed in our patients with CBS (Figure 1). Several previous studies have shown damage to the dorsal frontal cortex, as found in the present study, to be more associated with IMA than damage to the inferior frontal cortex.18,19,41-44The only other study to our knowledge that used VBM in CBS showed frontal and parietal volume loss associated with IMA in CBS, but did not analyze IMA to command vs imitation.45

The findings of this study are compatible with the 2-route model of IMA29 because the patients demonstrated IMA associated with frontal atrophy and equal impairment of transitive and intransitive gesture production (ie, dynamic IMA). A processing advantage for meaningful gestures and an intact hand posture component of transitive gesture production are also associated with this type of IMA29 but cannot be tested with the data collected in this study and should be tested in a future study.

In conclusion, this study suggests that IMA is associated with left posterior frontal and caudate atrophy in CBS and is associated with a lack of preservation of praxis to imitation and equal impairment of transitive and intransitive gesture production. These findings suggest either that the IMA of CBS affects a route of praxis that bypasses motor engrams or that motor engrams are affected but that motor engrams may exist in areas other than the inferior parietal cortex.

Correspondence: Jordan Grafman, PhD, Cognitive Neuroscience Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bldg 10, Room 7D43, MSC 1440, Bethesda, MD 20892-1440 (grafmanj@ninds.nih.gov).

Accepted for Publication: January 23, 2009.

Author Contributions: Dr Huey takes full responsibility for the data, the analyses and interpretation, and the conduct of the research; he had full access to all the data; and he has the right to publish any and all data, separate and apart from the attitudes of the sponsor. Study concept and design: Huey and Grafman. Acquisition of data: Huey, Cavanagh, Wassermann, Kapogiannis, Spina, and Ghetti. Analysis and interpretation of data: Huey, Pardini, and Grafman. Drafting of the manuscript: Huey and Grafman. Critical revision of the manuscript for important intellectual content: Huey, Pardini, Cavanagh, Wassermann, Kapogiannis, Spina, Ghetti, and Grafman. Statistical analysis: Huey and Pardini. Obtained funding: Spina, Ghetti, and Grafman. Administrative, technical, and material support: Ghetti and Grafman. Study supervision: Wassermann and Grafman.

Financial Disclosure: None reported.

Funding/Support: This study was supported by the intramural program of the National Institutes of Health/National Institute of Neurological Disorders and Stroke (NIH/NINDS), grant 5R00NS060766 from the NINDS (Dr Huey), grant 5P30AG010133 from the National Institute on Aging (Dr Ghetti), and the Litwin-Zucker Center for Research on Alzheimer's Disease and Memory Disorders (Dr Huey).

Additional Contributions: We thank Nicole Armstrong, BA, for manuscript preparation; Michael C. Tierney, MA, and Karen Detucci, MA, for patient testing; the National Institute of Neurological Disorders and Stroke/Clinical Center nurses for patient care; and Roland Zahn, MD, PhD, for comments.

References
1.
Boeve  BF Corticobasal degeneration: the syndrome and the disease. Litvan  I Atypical Parkinsonian Disorders Clinical and Research Aspects. Totowa, NJ Humana Press Inc2005;309- 334Google Scholar
2.
Litvan  IBhatia  KPBurn  DJ  et al. Movement Disorders Society Scientific Issues Committee, Movement Disorders Society Scientific Issues Committee report: SIC Task Force appraisal of clinical diagnostic criteria for parkinsonian disorders.  Mov Disord 2003;18 (5) 467- 486PubMedGoogle ScholarCrossref
3.
Dickson  DWBergeron  CChin  SS  et al. Office of Rare Diseases of the National Institutes of Health, Office of Rare Diseases neuropathologic criteria for corticobasal degeneration.  J Neuropathol Exp Neurol 2002;61 (11) 935- 946PubMedGoogle Scholar
4.
Kertesz  A McMonagle  PBlair  MDavidson  WMunoz  DG The evolution and pathology of frontotemporal dementia.  Brain 2005;128 (pt 9) 1996- 2005PubMedGoogle ScholarCrossref
5.
Pharr  VUttl  BStark  MLitvan  IFantie  BGrafman  J Comparison of apraxia in corticobasal degeneration and progressive supranuclear palsy.  Neurology 2001;56 (7) 957- 963PubMedGoogle ScholarCrossref
6.
Leiguarda  RLees  AJMerello  MStarkstein  SMarsden  CD The nature of apraxia in corticobasal degeneration.  J Neurol Neurosurg Psychiatry 1994;57 (4) 455- 459PubMedGoogle ScholarCrossref
7.
Soliveri  PPiacentini  SGirotti  F Limb apraxia in corticobasal degeneration and progressive supranuclear palsy.  Neurology 2005;64 (3) 448- 453PubMedGoogle ScholarCrossref
8.
Peigneux  PSalmon  EGarraux  G  et al.  Neural and cognitive bases of upper limb apraxia in corticobasal degeneration.  Neurology 2001;57 (7) 1259- 1268PubMedGoogle ScholarCrossref
9.
Gonzalez Rothi  LJOchipa  CHeilman  KM A cognitive neuropsychological model of limb praxis.  Cogn Neuropsychol 1991;8 (6) 443- 458Google ScholarCrossref
10.
Zadikoff  CLang  AE Apraxia in movement disorders.  Brain 2005;128 (pt 7) 1480- 1497PubMedGoogle ScholarCrossref
11.
Ochipa  CRothi  LJHeilman  KM Conceptual apraxia in Alzheimer's disease.  Brain 1992;115 (pt 4) 1061- 1071PubMedGoogle ScholarCrossref
12.
Leipmann  H Apraxia.  Ergeb Ges Med 1920;1516- 543Google Scholar
13.
Heilman  KMRothi  LJValenstein  E Two forms of ideomotor apraxia.  Neurology 1982;32 (4) 342- 346PubMedGoogle ScholarCrossref
14.
Jacobs  DHAdair  JCMacauley  BGold  MGonzalez Rothi  LJHeilman  KM Apraxia in corticobasal degeneration.  Brain Cogn 1999;40 (2) 336- 354PubMedGoogle ScholarCrossref
15.
Heilman  KMRothi  LJG Apraxia. Heilman  KMValenstein  E Clinical Neuropsychology. New York, NY Oxford University Press1985;131- 150Google Scholar
16.
Rothi  LJOchipa  CHeilman  KM A cognitive neuropsychological model of limb praxis and apraxia. Rothi  LJHeilman  KM Apraxia The Neuropsychology of Action. East Sussex, England Psychology Press1997;29- 50Google Scholar
17.
De Renzi  EFaglioni  PLodesani  MVecchi  A Performance of left brain-damaged patients on imitation of single movements and motor sequences: frontal and parietal-injured patients compared.  Cortex 1983;19 (3) 333- 343PubMedGoogle ScholarCrossref
18.
Leiguarda  RCMarsden  CD Limb apraxias: higher-order disorders of sensorimotor integration.  Brain 2000;123 (pt 5) 860- 879PubMedGoogle ScholarCrossref
19.
Haaland  KYHarrington  DLKnight  RT Neural representations of skilled movement.  Brain 2000;123 (pt 11) 2306- 2313PubMedGoogle ScholarCrossref
20.
Kolb  BMilner  B Performance of complex arm and facial movements after focal brain lesions.  Neuropsychologia 1981;19 (4) 491- 503PubMedGoogle ScholarCrossref
21.
Heilman  KMRothi  LJ Apraxia. Heilman  KMValenstein  E Clinical Neuropsychology. New York, NY Oxford University Press1993;215- 235Google Scholar
22.
Kertesz  AFerro  JM Lesion size and location in ideomotor apraxia.  Brain 1984;107 (pt 3) 921- 933PubMedGoogle ScholarCrossref
23.
Moll  JDe Oliveira-Souza  RDe Souza-Lima  FAndreiuolo  PA Activation of left intraparietal sulcus using a fMRI conceptual praxis paradigm.  Arq Neuropsiquiatr 1998;56 (4) 808- 811PubMedGoogle ScholarCrossref
24.
Hanna-Pladdy  BHeilman  KMFoundas  AL Cortical and subcortical contributions to ideomotor apraxia: analysis of task demands and error types.  Brain 2001;124 (pt 12) 2513- 2527PubMedGoogle ScholarCrossref
25.
Rothi  LJHeilman  KMWatson  RT Pantomime comprehension and ideomotor apraxia.  J Neurol Neurosurg Psychiatry 1985;48 (3) 207- 210PubMedGoogle ScholarCrossref
26.
Blondel  AEustache  FSchaeffer  SMarie  RMLechevalier  Bde la Sayette  V Clinical and cognitive study of apraxia in cortico-basal atrophy: a selective disorder of the production system [in French].  Rev Neurol (Paris) 1997;153 (12) 737- 747PubMedGoogle Scholar
27.
Pillon  BBlin  JVidailhet  M  et al.  The neuropsychological pattern of corticobasal degeneration: comparison with progressive supranuclear palsy and Alzheimer's disease.  Neurology 1995;45 (8) 1477- 1483PubMedGoogle ScholarCrossref
28.
Gonzalez Rothi  LJOchipa  CHeilman  KM A Cognitive Neuropsychological Model of Limb Praxia and Apraxia.  Hove, England Psychology Press1997;
29.
Buxbaum  LJKyle  KGrossman  MCoslett  HB Left inferior parietal representations for skilled hand-object interactions: evidence from stroke and corticobasal degeneration.  Cortex 2007;43 (3) 411- 423PubMedGoogle ScholarCrossref
30.
Roy  EASquare  PA Common considerations in the study of limb, verbal, and oral apraxia. Roy  EA Neuropsychological Studies of Apraxia and Related Disorders. Amsterdam, the Netherlands North-Holland1985;Google Scholar
31.
Helm-Estabrooks  N Test of Oral and Limb Apraxia Normed Edition.  Chicago, IL Riverside Publishing Co1992;
32.
Ashburner  JFriston  KJ Unified segmentation.  Neuroimage 2005;26 (3) 839- 851PubMedGoogle ScholarCrossref
33.
Ridgway  GRHenley  SMRohrer  JDScahill  RIWarren  JDFox  NC Ten simple rules for reporting voxel-based morphometry studies.  Neuroimage 2008;40 (4) 1429- 1435PubMedGoogle ScholarCrossref
34.
Ashburner  JFriston  KJ Why voxel-based morphometry should be used.  Neuroimage 2001;14 (6) 1238- 1243PubMedGoogle ScholarCrossref
35.
Genovese  CRLazar  NANichols  T Thresholding of statistical maps in functional neuroimaging using the false discovery rate.  Neuroimage 2002;15 (4) 870- 878PubMedGoogle ScholarCrossref
36.
Friston  KJAshburner  JTStefan  JKNichols  TEPenny  WD Statistical Parametric Mapping: The Analysis of Functional Brain Images.  London, England Academic Press2007;
37.
Boxer  ALGeschwind  MDBelfor  N  et al.  Patterns of brain atrophy that differentiate corticobasal degeneration syndrome from progressive supranuclear palsy.  Arch Neurol 2006;63 (1) 81- 86PubMedGoogle ScholarCrossref
38.
Josephs  KADuffy  JRStrand  EA  et al.  Clinicopathological and imaging correlates of progressive aphasia and apraxia of speech.  Brain 2006;129 (pt 6) 1385- 1398PubMedGoogle ScholarCrossref
39.
Josephs  KAWhitwell  JLDickson  DW  et al.  Voxel-based morphometry in autopsy proven PSP and CBD.  Neurobiol Aging 2008;29 (2) 280- 289Google ScholarCrossref
40.
Pazzaglia  MSmania  NCorato  EAglioti  SM Neural underpinnings of gesture discrimination in patients with limb apraxia.  J Neurosci 2008;28 (12) 3030- 3041PubMedGoogle ScholarCrossref
41.
Watson  RTFleet  WSGonzalez-Rothi  LHeilman  KM Apraxia and the supplementary motor area.  Arch Neurol 1986;43 (8) 787- 792PubMedGoogle ScholarCrossref
42.
Masdeu  JCSchoene  WCFunkenstein  H Aphasia following infarction of the left supplementary motor area: a clinicopathologic study.  Neurology 1978;28 (12) 1220- 1223PubMedGoogle ScholarCrossref
43.
Schiff  HBAlexander  MPNaeser  MAGalaburda  AM Aphemia: clinical-anatomic correlations.  Arch Neurol 1983;40 (12) 720- 727PubMedGoogle ScholarCrossref
44.
Tognola  GVignolo  LA Brain lesions associated with oral apraxia in stroke patients: a clinico-neuroradiological investigation with the CT scan.  Neuropsychologia 1980;18 (3) 257- 272PubMedGoogle ScholarCrossref
45.
Borroni  BGaribotto  VAgosti  C  et al.  White matter changes in corticobasal degeneration syndrome and correlation with limb apraxia.  Arch Neurol 2008;65 (6) 796- 801PubMedGoogle ScholarCrossref
×