AJP - Heart Watch the video to learn how APS reaches out to developing nations.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Am J Physiol Heart Circ Physiol 288: H787-H794, 2005. First published October 14, 2004; doi:10.1152/ajpheart.00610.2004
0363-6135/05 $8.00
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
288/2/H787    most recent
00610.2004v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (7)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Zwanenburg, J. J. M.
Right arrow Articles by Marcus, J. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Zwanenburg, J. J. M.
Right arrow Articles by Marcus, J. T.

Regional timing of myocardial shortening is related to prestretch from atrial contraction: assessment by high temporal resolution MRI tagging in humans

J. J. M. Zwanenburg,1 M. J. W. Götte,2 J. P. A. Kuijer,1 M. B. M. Hofman,1 P. Knaapen,2 R. M. Heethaar,1 A. C. van Rossum,2 and J. T. Marcus1

1Department of Physics and Medical Technology and 2Department of Cardiology, Vrije Universiteit University Medical Center, Amsterdam, The Netherlands

Submitted 21 June 2004 ; accepted in final form 11 October 2004


    ABSTRACT
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Earlier studies have shown substantial nonuniformity in normal left ventricular (LV) myocardial function concerning both the degree of shortening and timing of shortening. We hypothesized that nonuniform LV function may be related to nonuniform prestretch induced by atrial contraction. Eleven healthy human subjects were studied using MRI myocardial tagging and strain analysis. The amount of circumferential prestretch was assessed in 30 LV segments. Prestretch was defined as the difference in strain between end diastole (at ECG R wave) and diastasis. Furthermore, both the degree of shortening (quantified as peak circumferential shortening, peak systolic shortening rate, and amount of postsystolic shortening) and timing of shortening (quantified as the onset time of shortening and time to peak shortening) were assessed. LV prestretch was found to be nonuniform, with the highest values in the lateral wall. The amount of segmental prestretch correlated significantly with peak shortening (r = 0.79), peak shortening rate (r = 0.50), amount of postsystolic shortening (r = 0.67), onset time of shortening (r = –0.57), and time to peak shortening (r = 0.71) (P < 0.001 for each of these relations). These relations may be explained by regional differences in wall stress or by a regional Frank-Starling effect. The correlation between timing of shortening and prestretch demonstrates that mechanical timing is not determined by electrical phenomena alone. In conclusion, regional variation in LV function correlates with the nonuniform prestretch from atrial contraction.

heterogeneity; mechanical asynchrony; strain; atrial systole


SEVERAL STUDIES have demonstrated that left ventricular (LV) function is nonuniform in healthy human subjects (1, 19, 27). Peak shortening is larger in the lateral wall than in the septum and increases from the base to apex (19). Besides variations in the degree of shortening, variations in the timing of shortening have been reported including early onset and late peak of shortening in the lateral wall (31). A substantial number of regions reach peak shortening after aortic valve closure, leading to regions with postsystolic shortening in the normal heart (27, 31). Understanding the origin of normal regional differences in LV myocardial function may give insight in pathological nonuniformities. The nonuniformity in the timing of shortening is of particular interest, because in patients with heart failure and asynchronous contraction, resynchronization therapy with LV or biventricular pacing is applied (3, 4, 14), whereas the response to resynchronization therapy is difficult to predict (20).

Observations of considerable asynchrony in patients with narrow QRS widths imply that electrical phenomena are not the only determinant of the timing of shortening but that mechanical factors may also play an important role in the timing of myocardial shortening (10, 30). In addition, the observation in normal subjects that the pattern in the time to onset of shortening (Tonset) differs from the pattern of electrical activation suggests that the timing of shortening is not determined by electrical phenomena alone (31). However, direct evidence for a relation between mechanical factors and the timing of myocardial shortening in the in vivo heart is lacking. We hypothesize that heterogeneity in prestretch induced by the atrial contraction contributes to the heterogeneity in myocardial function and timing. Regional myocardial function is probably linked to LV prestretch by heterogeneity in wall stress [due to differences in architecture, geometry, and material properties (1, 2, 21)] or the dependence of the developed force on end-diastolic sarcomere length [a local manifestation of the Frank-Starling mechanism (13, 16, 24)]. In the same way, regional timing of myocardial shortening may be related to LV prestretch. Tonset occurs when the generated force overcomes the load against which the myocardium has to contract. In myocardium with higher prestretch, either the load (wall stress) is lower or the generated force is higher (due to a local Frank-Starling effect). Therefore, myocardium with higher prestretch is expected to show an earlier Tonset.

In this study, MRI with myocardial tagging was used to assess the circumferential strain ({varepsilon}c) of the LV with high temporal resolution and to determine the spatial distribution of LV prestretch induced by the atrial contraction. We explored whether the prestretch shows regional variations and whether these variations are related to the regional degree of shortening and to the regional timing of shortening.


    METHODS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Subjects

Eleven healthy subjects (mean age 41 ± 12 yr; 7 men and 4 women) with no history of cardiac disease, normal ECG, ejection fraction > 50%, and blood pressures under 160/90 mmHg were studied after informed consent was obtained according to our institutional guidelines.

Imaging

The imaging protocol has been previously described in Ref. 31. In brief, myocardial tagging images with high temporal resolution (14 ms) were obtained by steady-state free precession imaging using the linearly increasing startup angle approach (32) to avoid artifacts. Complementary tagging (CSPAMM) was used for improved tag contrast and strain analysis (8, 17). Five short-axis image planes were acquired from base to apex, with 4 image series per plane: horizontally and vertically tagged images with both positive and negative sinusoidal tagging for CSPAMM. Breath hold misregistration was minimized using a multiple brief expiration breath hold scheme (5, 18). The four series of a single image plane were acquired in ~4.5 min. The tag spacing was 7 mm. Examples of the complementary tagged images are shown in Fig. 1.



View larger version (195K):
[in this window]
[in a new window]
 
Fig. 1. Example images with myocardial complementary tagging (CSPAMM) obtained at a midventricular level in the short-axis orientation in a healthy subject. Anatomic images are shown at the top for clarity. Horizontally and vertically tagged images are shown 39 ms after the application of the tagging pattern (left), at end systole (middle), and during diastasis (right).

 
A long-axis cine in the three-chamber view was acquired to determine the closure time of the aortic valves (Tavc). This cine had a temporal resolution of 14 ms and required a single breath hold, using steady-state free precession imaging with view sharing. Conventional nontagged short-axis cine images were acquired for measuring the LV volumes and ejection fraction. The acquisition duration of the complete protocol was ~45–55 min/subject.

Postprocessing

Strain analysis. Strain analysis was performed using the harmonic phase method, as described previously (31). {varepsilon}c was calculated from the Lagrangian strain tensor as the percent change in length of a small line segment in the circumferential direction (9):

(1)

where Ecc is the Lagrangian strain component in the circumferential direction. The circumferential strain data were averaged in six circumferential segments: inferoseptal, anteroseptal, anterior, anterolateral, inferolateral, and inferior. Because the fibers at the midwall are mainly oriented in the circumferential direction and lay in the image plane (11, 28), only strain data from the mid-50% of the myocardialwall was used. Hence, the {varepsilon}c curves represent mostly the shortening of the underlying myocardial fibers.

The circumferential strain rate d{varepsilon}c/dt was calculated numerically from a copy of the {varepsilon}c curve that was filtered with a moving average filter of five sample width to reduce noise sensitivity. The filtered strain curve was used only for the calculation of the strain rates, not for the quantification of the amount or timing of shortening.

Prestretch. Because of prospectively gated triggering, no strain was measured during the last 150–200 ms of the R-R interval, in which the atrial contraction occurs. Prestretch was therefore measured as the difference in LV strain before and after atrial contraction. The prestretch was defined as the strain at the R wave minus the average plateau strain observed during diastasis, as illustrated in Fig. 2. For consistent assessment of the prestretch, the following algorithm was used. The onset of diastasis was defined regionally by the end of rapid relaxation and was determined as the zero crossing in d{varepsilon}c/dt after the peak positive d{varepsilon}c/dt (peak lengthening rate) in early diastole. To prevent inclusion of data points during atrial contraction, the end of diastasis was defined as 200 ms before the next ECG R wave, which was normally just outside the interval covered by the strain curve. If the strain curve did not cover the full diastasis, only the part covered was used, with a minimum duration of three strain samples. If the period of diastasis could not be determined for a certain segment, because of either a persistent positive strain rate or insufficient coverage of the cardiac cycle, the amount of prestretch for that segment was regarded as missing.



View larger version (17K):
[in this window]
[in a new window]
 
Fig. 2. Example of circumferential strain ({varepsilon}c; top) and the strain rate (d{varepsilon}c/dt; bottom) obtained with MRI myocardial tagging. Because the undeformed tagging pattern is applied at time (t) = 0 (ECG R wave), the strain starts at zero level at t = 0. The physiological reference state, however, is assumed to be during diastasis, just after the rapid filling and before the onset of atrial systole (~200 ms before next ECG R wave). Thus prestretch induced by the atrial contraction is defined as the difference between zero and the average strain plateau at diastasis (circled data points). The R-R interval of this subject was ~1,050 ms.

 
Degree of shortening. To examine the regional myocardial function in relation to the prestretch, both the degree of shortening and timing of shortening were assessed for each of the six segments in each slice. The degree of shortening was quantified by the peak circumferential shortening, the peak systolic circumferential shortening rate (PCSR), and the amount of postsystolic shortening. Postsystolic shortening was defined as the occurrence of the peak shortening after aortic valve closure (31). The amount of postsystolic shortening was zero if peak shortening was reached before aortic valve closure and was{varepsilon}c(Tpeak) – {varepsilon}c(Tavc) otherwise, where Tpeak is the time of peak circumferential shortening.

Timing of shortening. The timing of shortening was quantified by Tonset and Tpeak. Tonset was defined as the beginning of the down slope of the {varepsilon}c curve and was determined by an automated fitting algorithm as described in detail previously (31). Tonset is reported in milliseconds from the ECG R wave, and Tpeak is reported in ms from Tavc.

Investigated Relations

The prestretch data of the subjects were averaged per segment to construct a mean prestretch map for the normal heart. Missing values were omitted in the calculation of the average prestretch per segment. Similarly, maps of peak circumferential shortening, PCSR, amount of postsystolic shortening, Tonset, and Tpeak were obtained. Linear regression analysis on the averaged data was used to investigate the relation between the LV prestretch and parameters of regional myocardial function. To obtain insight in the individual variability in the observed relations, individual correlation coefficients were calculated between the prestretch and each of the investigated parameters of myocardial function.

In addition, the factors by which prestretch influences peak shortening were explored. In vitro studies have shown that an increase in prestretch increases 1) the duration of shortening and 2) the shortening velocity at a constant afterload (22, 26), which both may enhance peak shortening. Therefore, multiple regression analysis was used with the peak shortening as a dependent variable and Tpeak, PCSR, and the product of Tpeak x PCSR as predictors. Tpeak x PCSR accounts for the interaction between Tpeak and PCSR. The stepwise selection method was used to include or exclude a predictor from the model, using a probability < 0.05 as criterion to include a predictor and a probability > 0.1 as a criterion to exclude a predictor.

Statistics

Paired Student's t-tests were applied to compare the prestretch between opposite myocardial segments (using the mean value of the 5 slices) and to compare between the apex and base (using the mean value of the 6 circumferential segments). The regression analysis described above was performed using SPSS software (SPSS for Windows, Release 11.5.0, SPSS; Chicago, IL). Values are presented as means ± SE for regression coefficients and as means ± SD otherwise. P values of <0.05 were regarded as significant.


    RESULTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
Subjects

All subjects had a normal QRS width of 83 ± 15 ms (range: 63–114 ms). Table 1 shows the global function parameters of the subjects. For all subjects included in this study, prestretch could be determined in at least 24 of 30 segments (average number of missing segments per subject: 2.3 ± 2.0).


View this table:
[in this window]
[in a new window]
 
Table 1. Global function parameters of the healthy subjects

 
LV Prestretch: Amount and Distribution

An example of the {varepsilon}c curves for all segments for a single subject is shown in Fig. 3. Note the regional differences in the plateau strain at diastasis and consequently in the amount of prestretch induced by the atrial contraction. The map of the average LV prestretch is shown in Fig. 4. Table 2 summarizes the prestretch for the six circumferential segments averaged over all five slices and shows in the clockwise direction a gradual increase in prestretch from the inferoseptal to the inferolateral segment. The difference between the apex and base was not significant. The highest prestretch was observed in the inferolateral segments (from apex to base) and the anterolateral and anterior segments at the apex. In each individual subject, the inferolateral prestretch was consistently larger than the anteroseptal prestretch.



View larger version (33K):
[in this window]
[in a new window]
 
Fig. 3. Example of left ventricular (LV) {varepsilon}c curves of a healthy subject for 5 slices and 6 circumferential segments. The horizontal arrow on the strain axis indicates the strain during diastasis (physiological resting state after rapid filling and before atrial contraction). This horizontal arrow is omitted when the strain value at diastasis could not be determined by the automated routine. The strain difference between diastasis and the ECG R wave (at t = 0) is a measure for the LV prestretch induced by atrial contraction. Note the larger amount of LV prestretch in the lateral wall compared with the septum. The R-R interval was ~950 ms for this subject. The vertical arrow on the time axis indicates the time of aortic valve closure (Tavc). IS, inferoseptal; AS, anteroseptal; AN, anterior; AL, anterolateral; IL, inferolateral; IN, inferior.

 


View larger version (29K):
[in this window]
[in a new window]
 
Fig. 4. Bulls-eye maps for the healthy LV averaged over 11 subjects. A: prestretch due to atrial contraction; B: peak circumferential shortening.

 

View this table:
[in this window]
[in a new window]
 
Table 2. LV prestretch caused by atrial contraction

 
Relation Regional Prestretch and Degree of Shortening

The spatial distribution of peak circumferential shortening was very similar to the distribution of prestretch, as demonstrated in Fig. 4. Linear regression revealed a close correlation between the amount of prestretch of a segment and the peak {varepsilon}c of that segment (r = 0.79, P < 0.0005; Fig. 5A). The correlation between the amount of prestretch and peak shortening rate was much weaker but still significant (r = 0.50, P = 0.005; Fig. 5B). Also, the amount of postsystolic shortening was correlated to the prestretch (r = 0.67, P < 0.0005; Fig. 5C). The regression parameters for the relations between prestretch and the parameters of the regional myocardial function can be found in Table 3.



View larger version (11K):
[in this window]
[in a new window]
 
Fig. 5. Regional contractile function is related to the regional amount of prestretch due to atrial contraction. A: relation between prestretch and the peak circumferential shortening. B: relation between prestretch and the peak systolic circumferential shortening rate. C: relation between prestretch and the amount of postsystolic shortening. Each data point represents a segment of the heart, averaged over all 11 healthy subjects.

 

View this table:
[in this window]
[in a new window]
 
Table 3. Regression coefficients between parameters of regional LV myocardial function and regional prestretch

 
The relations observed in the averaged data tended to be present also on an individual basis, although the correlation was not always significant. No significant correlations opposite to the relation of the averaged data were observed. The individual correlations between the LV prestretch and degree of shortening are shown in Fig. 6.



View larger version (13K):
[in this window]
[in a new window]
 
Fig. 6. Correlation coefficients for each subject of the relation between LV prestretch induced by atrial contraction and: peak circumferential shortening (a), peak systolic circumferential shortening rate (b), postsystolic shortening (c), time to onset of shortening (d), and time to peak shortening (e). The correlation coefficients between the horizontal dashed lines are not significant.

 
In the multiple regression analysis, Tpeak and PCSR were both excluded as independent predictors for peak shortening. Consequently, the combined predictor Tpeak x PCSR appeared as the best predictor for peak shortening, with a regression coefficient of 0.31 ± 0.06 (R2 = 0.48, P < 0.0005).

Relation Regional Prestretch and Timing of Shortening

Tonset showed a weak but significant negative correlation with the amount of prestretch (r = –0.57, P = 0.001; Fig. 7A). This means that regions with more prestretch have an earlier onset of shortening. The duration of shortening was longer in regions with more prestretch, as can be seen from the positive correlation between Tpeak and prestretch (r = 0.71, P < 0.0005; Fig. 7B). The actual distributions of Tonset and Tpeak have been published previously (31). The relations between LV prestretch and timing of shortening were also observed on an individual basis, as can be seen from Fig. 6. For all subjects except one, at least two of five investigated relations were significant. None of the correlations that were opposite to the relations found for the average data were significant.



View larger version (14K):
[in this window]
[in a new window]
 
Fig. 7. Timing relations between prestretch induced by the atrial contraction and the timing of myocardial shortening. A: time to onset of shortening. B: time to peak shortening relative to Tavc. Each data point represents a segment of the heart, averaged over all 11 healthy subjects.

 

    DISCUSSION
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
This study demonstrated in healthy human subjects that LV prestretch induced by the atrial contraction is not uniform. This nonuniformity in prestretch corresponds with the nonuniformity in both regional myocardial function and timing of shortening. The correlation between LV prestretch and timing of shortening is evidence for the hypothesis that mechanical factors also influence the timing of shortening, particularly because the pattern in the onset of shortening differs from the electrical activation pattern (6, 31).

LV Prestretch

The amount of prestretch ranged from 2.7 ± 1.3% in the septum to 5.5 ± 1.7% in the inferolateral segment. Ennis et al. (7) have reported strain measurements over the full cardiac cycle including the atrial contraction using a dedicated acquisition and reconstruction method. Although quantified in a different way, they found a similar pattern in the prestretch induced by atrial contraction, with lowest prestretch in the septum (2.8 ± 1.1%, n = 6) and highest prestretch in the lateral and inferior regions (3.8 ± 0.4% and 4.2 ± 1.0%, respectively). These highest values seem to be somewhat lower than found in this study, possibly because Ennis et al. used four instead of six circumferential segments, whereas the spatial variation in prestretch is relatively large in the lateral wall (Fig. 4 and Table 2).

Relation Regional Prestretch and Degree of Shortening

The spatial pattern in peak {varepsilon}c (Fig. 4B), with the largest peak shortening occurring in the lateral wall, is comparable to the pattern reported in literature (1, 19). A close correlation was observed between peak shortening and prestretch. The multiple regression analysis between the peak shortening and both Tpeak and peak shortening rate supports the idea that the prestretch influences peak shortening via two pathways. Prestretch increases peak shortening not only by prolongation of the duration of shortening but also by increasing the rate of shortening.

Besides the peak shortening and peak shortening rate, the amount of postsystolic shortening (the amount of shortening developed after aortic valve closure) is also influenced by prestretch. The regression coefficient of the relation between postsystolic shortening and prestretch (1.0 ± 0.2) is comparable to that of the relation between peak shortening and prestretch (1.4 ± 0.2; Table 3). This implies for the regions with most prestretch that the extra peak shortening due to the extra prestretch is only slightly larger than the simultaneous increase in postsystolic shortening and consequently only partially benefits ejection.

Relation Regional Prestretch and Timing of Shortening

The negative correlation between the regional Tonset and LV prestretch implies that the force generated by the myocardial muscle overcomes the existing load earlier in a region with more prestretch than in a region with less prestretch. This is compatible both with local differences in wall stress and with a local manifestation of the Frank-Starling mechanism (length-dependent activation), as outlined in Fig. 8. In terms of local differences in wall stress (Fig. 8A), a lower wall stress will lead to more prestretch during diastole (as it makes the wall more compliant to the atrial contraction) and to a lower load against which the muscle has to contract during systole, which yields an earlier onset of shortening. In terms of a local Frank-Starling effect (Fig. 8B), an increase in initial segment length leads to a stronger contraction while peak force is reached at the same time (26), so that a given load is overcome earlier. Besides, prestretched regions can begin to shorten earlier by elastic recoil (25). The fact that the correlation between Tonset and prestretch was rather weak (r = –0.57) may be due to regional differences in electrical activation and to noise in the Tonset values.



View larger version (7K):
[in this window]
[in a new window]
 
Fig. 8. Two possible mechanisms may be involved in the observed relation between the LV prestretch induced by atrial contraction and the time to onset of shortening. 1 and 2 denote myocardium with high and low LV prestretch, respectively. A: an indirect mechanism behind the correlation between prestretch and the time to onset of shortening may be regional variations in wall stress (load). Regional differences in wall stress are mainly determined by anatomy (geometry, material properties, fiber architecture) and will thus largely remain the same between systole and diastole. If the contractile force of both regions is the same, the region with lower wall stress (load 1) will show an earlier time to onset of shortening and a higher prestretch than the region with higher wall stress (load 2). B: another mechanism may be that LV prestretch increases contractile force by the Frank-Starling mechanism. This yields a steeper upslope of the contractile force for the region with high prestretch (dashed line) than for the region with low prestretch (solid line) (12). When the load of both regions is equal, the region with more prestretch will overcome the existing load earlier than the region with less prestretch. Consequently, the time to onset of shortening (Tos) will be earlier in the region with more prestretch.

 
The relation between Tpeak and LV prestretch can be explained in the same way as that for Tonset. Both regional differences in wall stress and the Frank-Starling mechanism may be involved. It is interesting to consider the compatibility of the observations with a local Frank-Starling effect. The relation between Tpeak and prestretch is quite strong: Tpeak is increased by 19 ms/% prestretch (Table 3). If we assume that the sarcomere length during diastasis is ~1.9 µm [slack length (23)], then the observed increase in Tpeak of 19 ms/% prestretch is equivalent to 1,000 ms/µm increase in sarcomere length (95% confidence interval from the SE in Table 3: 614–1,384 ms/µm sarcomere length). This value is comparable with the slope between twitch force duration and initial sarcomere length reported for rat cardiac trabeculae (24, 26). Twitch force duration increases by about 400 ms/µm increase in initial sarcomere length for isometric contraction (derived from Fig. 4 in Ref. 24 and Fig. 1 in Ref. 12) and by about 670 ms/µm increase in sarcomere length for isosarcometric contraction (derived from Fig. 7 in Ref. 26). These literature values seem to be lower than the value found for Tpeak in this study (1,000 ms/µm). However, one should keep in mind that the data of the force duration are obtained from right ventricular rat trabeculae at 25°C, whereas our data of Tpeak are obtained from the human LV in vivo, ignoring regional differences in electrical activation time. Furthermore, twitch force duration may only be directly comparable with Tpeak if the afterload is constant during shortening, which is clearly not the case as quite a few segments reach peak shortening after aortic valve closure (27, 31).

Clinical Implications

It has been shown that a simple wall stress model that incorporates only the geometry is insufficient to explain the regional variations in myocardial function in patients with nonischemic dilated cardiomyopathy (29). The close correlation between LV prestretch and peak shortening found in this study suggests that regional differences in material properties, myofiber structure, and contractile force should also be considered for a correct understanding of regional variations in myocardial function.

Previous work has shown that the onset of shortening has a pattern that is reversed to the pattern of electrical activation, with the earliest onset of shortening in the lateral wall (31). Our results show that the timing of shortening is related to the amount of LV prestretch due to atrial contraction and suggest that the influence of prestretch even dominates the influence of the electrical activation pattern in health. Consequently, it may be very difficult to predict the response to resynchronization therapy and the optimal pacing position in patients with heart failure and conduction abnormalities, without extensive modeling by means of computer simulations (15, 25).

Limitations

It was assumed that the two-dimensional {varepsilon}c at midwall reflects myofiber behavior. For most slices this may be a good approximation, but especially toward the apex the midwall layer with circumferentially orientated fibers becomes thin, and an increasing amount of fibers will have a substantial longitudinal component (11). Because only the in-plane component of these fibers was observed in this study, the measured circumferential prestretch and shortening in the most apical slice may be less than the actual fiber stretch and shortening. Nevertheless, the relation between stretch and shortening is not affected as long as the angle of the fibers and the image plane is constant during the cardiac cycle.

Furthermore, we did not directly measure the strain during atrial systole but used the existence of the strain plateau during diastasis instead. The good agreement of our prestretch data with data obtained by Ennis et al. (7), who did measure strain evolvement during atrial systole, justifies this approach.

In conclusion, atrial contraction leads to a nonuniform pattern of prestretch in the LV, with the most prestretch in the lateral wall. This prestretch is closely correlated to the nonuniformity present in both the amount and the timing of shortening. The effect of prestretch on the timing of shortening shows that synchrony of contraction is not determined by electrical synchrony alone but that mechanical aspects also play an important role.


    GRANTS
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 
This study was supported by The Netherlands Heart Foundation Grant 2000B220.


    ACKNOWLEDGMENTS
 
The authors thank G. J. M. Stienen for the helpful discussions on this work.


    FOOTNOTES
 

Address for reprint requests and other correspondence: J. J. M. Zwanenburg, Dept. of Physics and Medical Technology, VU University Medical Center, PO Box 7057, 1007 MB Amsterdam, The Netherlands (E-mail: jjm.zwanenburg{at}vumc.nl)

The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.


    REFERENCES
 TOP
 ABSTRACT
 METHODS
 RESULTS
 DISCUSSION
 GRANTS
 REFERENCES
 

  1. Bogaert J and Rademakers FE. Regional nonuniformity of normal adult human left ventricle. Am J Physiol Heart Circ Physiol 280: H610–H620, 2001.[Abstract/Free Full Text]
  2. Bovendeerd PH, Arts T, Huyghe JM, Van Campen DH, and Reneman RS. Dependence of local left ventricular wall mechanics on myocardial fiber orientation: a model study. J Biomech 25: 1129–1140, 1992.[CrossRef][Web of Science][Medline]
  3. Breithardt OA, Stellbrink C, Herbots L, Claus P, Sinha AM, Bijnens B, Hanrath P, and Sutherland GR. Cardiac resynchronization therapy can reverse abnormal myocardial strain distribution in patients with heart failure and left bundle branch block. J Am Coll Cardiol 42: 486–494, 2003.[Abstract/Free Full Text]
  4. Cazeau S, Leclercq C, Lavergne T, Walker S, Varma C, Linde C, Garrigue S, Kappenberger L, Haywood GA, Santini M, Bailleul C, and Daubert JC. Effects of multisite biventricular pacing in patients with heart failure and intraventricular conduction delay. N Engl J Med 344: 873–880, 2001.[Abstract/Free Full Text]
  5. Doyle M, Scheidegger MB, De Graaf RG, Vermeulen J, and Pohost GM. Coronary artery imaging in multiple 1-sec breath holds. Magn Reson Imaging 11: 3–6, 1993.[CrossRef][Web of Science][Medline]
  6. Durrer D, van Dam RT, Freud GE, Janse MJ, Meijler FL, and Arzbaecher RC. Total excitation of the isolated human heart. Circulation 41: 899–912, 1970.[Abstract/Free Full Text]
  7. Ennis DB, Epstein FH, Kellman P, Fananapazir L, McVeigh ER, and Arai AE. Assessment of regional systolic and diastolic dysfunction in familial hypertrophic cardiomyopathy using MR tagging. Magn Reson Med 50: 638–642, 2003.[CrossRef][Web of Science][Medline]
  8. Fischer SE, McKinnon GC, Maier SE, and Boesiger P. Improved myocardial tagging contrast. Magn Reson Med 30: 191–200, 1993.[Web of Science][Medline]
  9. Fung YC. A First Course in Continuum Mechanics: for Physical and Biological Scientists and Engineers. Englewood Cliffs, NJ: Prentice-Hall, 1994.
  10. Ghio S, Constantin C, Klersy C, Serio A, Fontana A, Campana C, and Tavazzi L. Interventricular and intraventricular dyssynchrony are common in heart failure patients, regardless of QRS duration. Eur Heart J 25: 571–578, 2004.[Abstract/Free Full Text]
  11. Greenbaum RA, Ho SY, Gibson DG, Becker AE, and Anderson RH. Left ventricular fibre architecture in man. Br Heart J 45: 248–263, 1981.[Abstract/Free Full Text]
  12. Janssen PML and Hunter WC. Force, not sarcomere length, correlates with prolongation of isosarcometric contraction. Am J Physiol Heart Circ Physiol 269: H676–H685, 1995.[Abstract/Free Full Text]
  13. Jewell BR. A reexamination of the influence of muscle length on myocardial performance. Circ Res 40: 221–230, 1977.[Free Full Text]
  14. Kass DA. Ventricular dyssynchrony and mechanisms of resynchronization therapy. Eur Heart J Suppl 4: D23–D30, 2002.[Abstract]
  15. Kerckhoffs RCP, Bovendeerd PHM, Prinzen FW, Smits K, and Arts T. Intra- and interventricular asynchrony of electromechanics in the ventricularly paced heart. J Eng Math 47: 201–216, 2003.[CrossRef]
  16. Konhilas JP, Irving TC, and de Tombe PP. Frank-Starling law of the heart and the cellular mechanisms of length-dependent activation. Pflügers Arch 445: 305–310, 2002.[CrossRef][Web of Science][Medline]
  17. Kuijer JPA, Jansen E, Marcus JT, Van Rossum AC, and Heethaar RM. Improved harmonic phase myocardial strain maps. Magn Reson Med 46: 993–999, 2001.[CrossRef][Web of Science][Medline]
  18. Kuijer JPA, Marcus JT, Götte MJW, Van Rossum AC, and Heethaar RM. Three-dimensional myocardial strain analysis based on short- and long-axis magnetic resonance tagged images using a 1D displacement field. Magn Reson Imaging 18: 553–564, 2000.[CrossRef][Web of Science][Medline]
  19. Moore CC, Lugo-Olivieri CH, McVeigh ER, and Zerhouni EA. Three-dimensional systolic strain patterns in the normal human left ventricle: characterization with tagged MR imaging. Radiology 214: 453–466, 2000.[Abstract/Free Full Text]
  20. Nelson GS, Curry CW, Wyman BT, Kramer A, Declerck J, Talbot M, Douglas MR, Berger RD, McVeigh ER, and Kass DA. Predictors of systolic augmentation from left ventricular preexcitation in patients with dilated cardiomyopathy and intraventricular conduction delay. Circulation 101: 2703–2709, 2000.[Abstract/Free Full Text]
  21. Omens JH, MacKenna DA, and McCulloch AD. Measurement of strain and analysis of stress in resting rat left ventricular myocardium. J Biomech 26: 665–676, 1993.[CrossRef][Web of Science][Medline]
  22. Sonnenblick EH. Force-velocity relations in mammalian heart muscle. Am J Physiol 202: 931–939, 1962.[Abstract/Free Full Text]
  23. Ter Keurs HEDJ. Heart failure and Starling's law of the heart. Can J Cardiol 12: 1047–1057, 1996.[Web of Science][Medline]
  24. Ter Keurs HEDJ, Rijnsburger WH, Van Heuningen R, and Nagelsmit MJ. Tension development and sarcomere length in rat cardiac trabeculae–evidence of length-dependent activation. Circ Res 46: 703–714, 1980.[Free Full Text]
  25. Usyk TP and McCulloch AD. Relationship between regional shortening and asynchronous electrical activation in a three-dimensional model of ventricular electromechanics. J Cardiovasc Electrophysiol 14: S196–S202, 2003.[CrossRef][Web of Science][Medline]
  26. Van Heuningen R, Rijnsburger WH, and Ter Keurs HEDJ. Sarcomere length control in striated muscle. Am J Physiol Heart Circ Physiol 242: H411–H420, 1982.[Abstract/Free Full Text]
  27. Voigt JV, Lindenmeier G, Exner B, Regenfus M, Werner D, Reulbach U, Nixdorff U, Flachskampf FA, and Daniel WG. Incidence and characteristics of segmental postsystolic longitudinal shortening in normal, acutely ischemic, and scarred myocardium. J Am Soc Echocardiogr 16: 415–423, 2003.[CrossRef][Web of Science][Medline]
  28. Wyman BT, Hunter WC, Prinzen FW, and McVeigh ER. Mapping propagation of mechanical activation in the paced heart with MRI tagging. Am J Physiol Heart Circ Physiol 276: H881–H891, 1999.[Abstract/Free Full Text]
  29. Young AA, Dokos S, Powell KA, Sturm B, McCulloch AD, Starling RC, McCarthy PM, and White RD. Regional heterogeneity of function in nonischemic dilated cardiomyopathy. Cardiovasc Res 49: 308–318, 2001.[Abstract/Free Full Text]
  30. Yu CM, Lin H, Zhang Q, and Sanderson JE. High prevalence of left ventricular systolic and diastolic asynchrony in patients with congestive heart failure and normal QRS duration. Heart 89: 54–60, 2003.[Abstract/Free Full Text]
  31. Zwanenburg JJM, Gotte MJW, Kuijer JPA, Heethaar RM, Van Rossum AC, and Marcus JT. Timing of cardiac contraction in humans mapped by high-temporal resolution MRI tagging: early onset and late peak of shortening in the lateral wall. Am J Physiol Heart Circ Physiol 286: H1872–H1880, 2004.[Abstract/Free Full Text]
  32. Zwanenburg JJM, Kuijer JPA, Marcus JT, and Heethaar RM. Steady-state free precession with myocardial tagging: CSPAMM in a single breathhold. Magn Reson Med 49: 722–730, 2003.[CrossRef][Web of Science][Medline]



This article has been cited by other articles:


Home page
Am. J. Physiol. Heart Circ. Physiol.Home page
X. Monnet, L. Lucats, P. Colin, G. Derumeaux, J.-L. Dubois-Rande, L. Hittinger, B. Ghaleh, and A. Berdeaux
Reduction in postsystolic wall thickening during late preconditioning
Am J Physiol Heart Circ Physiol, January 1, 2007; 292(1): H158 - H164.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Physiol. Heart Circ. Physiol.Home page
H. Ashikaga, S. R. Mickelsen, D. B. Ennis, I. Rodriguez, P. Kellman, H. Wen, and E. R. McVeigh
Electromechanical analysis of infarct border zone in chronic myocardial infarction
Am J Physiol Heart Circ Physiol, September 1, 2005; 289(3): H1099 - H1105.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
288/2/H787    most recent
00610.2004v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (7)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Zwanenburg, J. J. M.
Right arrow Articles by Marcus, J. T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Zwanenburg, J. J. M.
Right arrow Articles by Marcus, J. T.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online
Copyright © 2005 by the American Physiological Society.