Background & objectives: ADHD is one of the most common mental disorders among children. We hypothesized that ADHD is associated with the impairment of the cardiac autonomic regulation. The aim of this study was to evaluate the cardiac autonomic regulation in children with ADHD at the rest and during orthostasis using short-term heart rate variability (HRV) analysis.
Methods: Eighteen children with ADHD admitted to the Department of Children and Adolescent Psychiatry, Clinic of Psychiatry, University Hospital in Martin, Slovak Republic between January and September 2006 and 18 matched healthy subjects were recruited. HRV analysis was carried out in three positions: supine (S1)-orthostasis (O)-supine (S$2). Evaluated parameters were: the mean R-R interval, mean squared successive difference (MSSD), spectral powers in low (LF) and high frequency (HF) bands, total power (TP), coefficients of component variance (CCV LF, CCV HF), LF/HF ratio.
Results: The mean R-R interval was significantly shorter in ADHD group compared to controls in all positions (P<0.05, P<0.001). S1: The parameters MSSD, CCV HF, logHFpower were significantly lower (P<0.05, P<0.05, P<0.01) and ratio LF/HF was significantly higher (P<0.05) in ADHD group compared to controls. O: The parameters MSSD, CCVHF, logHFpower, logTP were significantly lower in ADHD group compared to controls (P<0.01, P<0.05,P<0.01, P<0.01). S2: The parameters MSSD and logHFpower were significantly lower in children with ADHD compared to controls (P<0.05).
Interpretation and conclusions: The children with ADHD had decreased cardiac vagal modulation and tachycardia in supine positions with altered ability of dynamic activation of the autonomic nervous system in response to orthostasis indicating changes in the cardiac autonomic regulation. Further studies need to be done on a larger sample to confirm these findings and to understand the underlying mechanisms.
Key words Attention deficit/hyperactivity disorder (ADHD)--autonomic nervous system--children--heart rate variability--orthostasis
Psychological states and processes are known to profoundly influence the autonomic nervous control of the cardiovascular system with likely contribution to the increased cardiovascular morbidity in patients with mental disorders (1,2). During this decade the pathomechanisms by which central nervous system (CNS) modulates changes in autonomic nervous system (ANS) in various mental disorders as well the potential links between cognitive and emotional processes and changes in ANS have drawn increasing interest (3,4).
Integrative theories that link CNS structures to autonomic function, such as the polyvagal theory(5), have of late emerged. The polyvagal theory has introduced anew perspective relating autonomic function to behaviour but it requires understanding bidirectional communication between the heart and the CNS (6). Porges' polyvagal theory (5,6) posits that the myelinated vagus, originating in the nucleus ambiguus, is a dynamic contributor to the processes of attention, motion, emotion, and social interactions. Thus, parasympathetic nervous system-linked cardiac activity has been associated with emotion regulation capabilities (5).
Cardiac function is extremely sensitive to autonomic influences. The heart rate variability (HRV), i.e., the amount of the heart rate fluctuations around the mean heart rate, is validated indicator of the function of the cardiorespiratory control system. In other words, analysis of heart rate variability provides insights into the autonomic control of the heart and gives important information about cardiac sympathetic and parasympathetic interaction (7,8). Our previous studies revealed that HRV analysis is noninvasive and sensitive method for early detection of asymptomatic changes of cardiovascular neuropathy in various somatic diseases such as hypertension and diabetes mellitus (9,10) as well as for the evaluation of the effect of mental load (11). Moreover, the interplay of sympathetic and parasympathetic (vagal) outputs of the central autonomic network at the sinoatrial node producing this complex beat-to-beat variability is characteristic of a healthy, adaptive organism (12). Thus, the HRV is considered as an index of central-peripheral neural feedback and CNS-ANS integration (13). Consequently, the HRV analysis can be used to study the possible links between mental disorders and cardiac autonomic regulation/dysregulation.
Attention deficit/hyperactivity disorder (ADHD) is one of the most commonly diagnosed mental disorders among children. ADHD is a developmental disorder characterized by distractibility, hyperactivity, impulsive behaviours, and the inability to remain focused on tasks or activities (14). Evidence from neuropsychological, pharmacological, and brain-imaging studies implicates dopamine and norepinephrine neurotransmitter systems in frontostriatal circuit in the pathophysiology of the disorde (15). Although it is generally assumed that the autonomic regulation of the heart is impaired in ADHD, the information about this dysregulation is limited. Some authors propose altered heart rate variability in ADHD children (16) or changes in autonomic profiles in behaviour-disorder in preschool children (17).
The aim of this study was to find differences in the autonomic regulation of the heart at the rest and during orthostasis between children with attention deficit/ hyperactivity disorder and healthy subjects using short-term heart rate variability analysis.
Material & Methods
The study was approved by the Ethics Committee of Jessenius Medical Faculty, Comenius University Martin, Slovak Republic. All children/patients/guardian were carefully informed about the study protocol and informed written consent was obtained from them to participate in the study prior to examination.
A total of 36 subjects--18 patients with ADHD (15 boys, 3 girls) aged 8-12 yr (10.8 [ or -] 0.4 yr) and 18 healthy subjects--control group matched for age (10.9 [ or -] 0.5 yr) and gender (15 boys, 3 girls) were included.
ADHD group: Children suffering from ADHD were recruited consecutively from the patients admitted to the Department of Children and Adolescent Psychiatry, Clinic of Psychiatry, University Hospital in Martin, between January and September 2006.
Inclusion criteria were--ADHD diagnosis--combined type according to Diagnostic & Statistical Manual of Mental Disorders DSM-IV-TR (Text Revision) (18) without comorbid mental disorders; before psychopharmacological and other treatment; non-smokers; moderate physical activity; and no evidence of hypertension, diabetes mellitus, obesity, underweight or other diseases.
Control (non-ADHD) group: The control (non-ADHD) group consisted of healthy pupils of primary school matched for age and gender. The healthy probands were carefully selected according to the same inclusion criteria as ADHD group--non-smokers, not taking drugs and substances influencing cardiovascular system, moderate physical activity, no evidence of cardiovascular, endocrinologic or other diseases. In addition, the children in control (non-ADHD) group have been never treated for any mental disorder (Table I).
Procedure: All subjects were examined in a quiet room with standard temperature (23[degrees]C) and minimalisation of stimuli in the morning between 0800 and 1200 after a normal breakfast. After 10 min of the rest and stabilization of the heart rate (to exclude possible effects of stress) the subjects remained in supine position for the recording of the R-R intervals in three intervals: the first supine position--orthostasis (change from lying to standing during 5 sec)--the second supine position (change of posture from standing to lying during 5 sec). The time spent in each interval was 5 min.
The heart rate variability analysis: The R-R intervals were detected using telemetric diagnostic system VarCor PF6 (Dimea, Olomouc, Czech Republic). ECG signal was monitored by a chest belt and the R-R intervals were transmitted to a personal computer. Data were filtered automatically by elimination of artefacts using a recognition algorithm as well as manually. The spectral analysis of the HRV using fast Fourier transformation (partially modified by coarse-graining spectral analysis) was used for data processing (minimum monitoring interval of 5 min to record at least 300 R-R intervals). The window length used was 256 samples. The following parameters were used for evaluation:
Time domain analysis: The mean R-R interval (ms), MSSD (mean squared successive differences between R-R intervals in [ms.sup.2]) expressing mainly parasympathetic activity.
Spectral analysis: Spectral power in low frequency band (LF: 0.04-0.15 Hz) which determined sympathetic and parasympathetic activity and 0.1 Hz reflected mainly baroreflex activity; spectral power in high frequency band (HF: 0.15-0.5 Hz) reflecting mainly parasympathetic activity (respiratory sinus arrhythmia), total spectral power (TP), coefficient of component variance in low (CCV LF) and high (CCV HF) frequency bands to eliminate differences in the mean R-R level and their impact on the amplitude of oscillations (19-21). The LF/HF ratio was calculated from the absolute values of the LF and HF power (21).
The cardiac vagal reactivity in response to orthostasis was evaluated as percentual change of logarithmical spectral power in high frequency band (as index of vagal modulation) using mathematical expression: [(logHF power in standing position--logHF power in the 1st supine position) / logHF power in the 1st supine position] x 100 (%).
Statistical analysis: Statistical analyses were performed using the statistical software package SYSTAT 10 for Windows (SSI, Richmond, CA, USA). Because basal spectral absolute values differ greatly among individuals, the spectral powers were then logarithmically transformed for statistical testing. The non-gaussian/ gaussian distribution was ascertained using Lilliefors test (22). For data with gaussian distribution, two-way ANOVA with one repeated measures factor was used for data analysis. Post-hoc univariate F test was used for between-groups comparison. Mann-Whitney U test (23) was used for between-groups comparison with non-gaussian distribution. P<0.05 were considered as significant.
The main effect of active posture change (in response to orthostasis and clinostasis) on heart rate variability parameters was significant for the mean R-R interval (P<0.01), logHF power (P<0.01), logLF power (P<0.01), logTP power (P<0.01) and CCV HF (P<0.01). The effect of group (ADHD vs. control) was significant for the mean R-R interval (P<0.01), logHF power (P<0.01), logTP (P<0.05) and CCV HF (P<0.05). No significant interaction between both main factors (posture vs group) was found (Table II).
Post-hoc analysis and Mann-Whitney U test revealed significant changes in the following heart rate variability parameters (Table III):
The first supine position: The mean R-R interval was significantly shorter in the ADHD group compared to controls (P<0.01). The parameters--MSSD, logHF power, CCV HF--were significantly lower in the ADHD group compared to controls (P<0.05, P<0.01, P<0.05). Ratio LF/HF was significantly higher in the ADHD group compared to controls (P<0.05). No significant difference was found in logLF power, logTP, CCV LF.
The orthostasis: The mean R-R interval was significantly shorter in the ADHD group compared to controls (P<0.001). The parameters--MSSD, logHF power, logTP, CCV HF--were significantly lower in the ADHD group compared to controls (P<0.01, P<0.01, P<0.01, P<0.05). No significant difference was found in logLF power, CCV LF and LF/HF.
The second supine position: The mean R-R interval was significantly shorter in the ADHD group compared to controls (P<0.05). The parameters--MSSD, logHF power--were significantly lower in the ADHD group compared to controls (P<0.05). No significant difference was found in the remaining parameters.
The vagal reactivity: Percentual change in the high frequency band in response to orthostasis--was significantly higher in the ADHD group compared to controls (-36 vs. -23%, P<0.05).
In the last decade, cardiac vagal tone has emerged as psychophysiological marker of many aspects of behavioural functioning and emotion regulation in both children and adults (3). Several studies have linked changes in cardiac vagal modulation to depression (1) or conduct problems in children and adolescents (24,25).
This study focuses on the changes in autonomic regulation of the heart in children with ADHD. Using short-term heart rate variability analysis autonomic regulation of the heart was compared between the groups of ADHD patients and healthy children under resting conditions and following dynamic activation of the ANS by orthostatic manoeuvre. This orthoclinostatic test measures the dynamic loading of the autonomic nervous system in the progressive increase of the sympathetic activity and concomitant decrease in the vagal activity in the standing position and vice-versa in the diminishing of the sympathetic and in a rise of the vagal activity in the supine position after lying back (26.,27).
The consensus of opinion is that HF respiratory component of R-R interval variability primarily reflects respiration-driven vagal modulation of sinus arrhythmia (21). Consequently, other studies found decreased respiratory sinus arrhythmia in children with ADHD (28). However, some authors reported the differences in autonomic activity in dependence on developmental changes (25). Crowell et al (17) compared autonomic profiles of preschool children (aged from 4 to 6 yr) with ADHD and oppositional defiant disorder (ODD) with controls. Children with ADHD and ODD were not significantly different in baseline respiratory sinus arrhythmia, but authors referred to autonomic deficiency in later age-period (adolescence) related to emotion dysregulation and lability. In accordance with other studies related to conduct problems (25) our results of the HRV analysis indicated decreased cardiac parasympathetic modulation with higher heart rate in both supine positions, as well as during orthostatic manoeuvre, in patients with ADHD in middle childhood.
Moreover, we evaluated the cardiac vagal reactivity in the high frequency band in response to orthostasis. Contrary to the law of initial values (29), the vagal reactivity was significantly higher in the ADHD group compared to controls (-36% vs. -23%). As noted by other authors, the excessive vagal withdrawal may be a non specific marker of emotional lability (3). Thus, it is questionable whether our findings of lower cardiac vagal modulation associated with higher vagal reactivity are related to the features of the ADHD (i.e., emotional lability due to emotional immaturity) or it is the reflection of subclinical abnormal dynamic activation of the autonomic nervous system in response to posture change in children with ADHD.
The mechanisms underlying these changes in cardiac autonomic regulation in ADHD remain unknown. Thayer and Lane (13) emphasized the neural correlates of vagal function and the role of brain in the regulation of the autonomic nervous system. Some studies have identified functional units within central nervous system that are involved in autonomic regulation--the central autonomic network (CAN) (30). Functionally, this network is an integrated component of an internal regulation system through which the brain controls visceromotor, neuroendocrinne, and behavioural responses that are critical for goal-directed behaviour and adaptability (30). The primary output of the CAN is mediated through the sympathetic and parasympathetic neurons innervated the heart; therefore, it is directly linked to the heart rate variability (13). Moreover, the autonomic imbalance--low parasympathetic activity and a relative sympathetic dominance indicated by low heart rate variability--can be a marker for prefrontal hypoactivity (4). In ADHD children, the deficit in frontal functioning connected to limbic system and consequent alteration of baroreflex function as well as the modifications in a network of brain regions (e.g., prefrontal cortex, anterior cingulate cortex) are supposed (31,32). Therefore, it is not clear whether the alteration of cardiac regulation in ADHD patients is a pure consequence of changes and pathomechanisms in various brain regions related to the modulation in autonomic activity by the central nervous system or it can be an early peripheral autonomic marker of latent asymptomatic and undiagnosed comorbid emotional and psychosomatic disorders due to accumulation of various stressors leading to these disorders.
In addition, the study of the relevant transmitter systems--specially noradrenergic and dopaminergic systems--will be important for a better understanding of ADHD and autonomic dysregulation in children with ADHD, especially linked to effective treatment. Therefore, in the explanation of autonomic nervous system changes the genetic, developmental and others factors should be considered.
Our study included a relatively small homogeneous group of patients with ADHD-combined type. Nonetheless, even with this sample size the potentially important differences in the heart rate variability between ADHD children and healthy probands were identified. The findings of this study need to be indepedently validated in larger groups of patients.
This study addressed mainly the changes in vagal (parasympathetic) modulation of the heart determined by the method of short-term heart rate variability (HRV) analysis, especially at high frequencies (>0.15 Hz) reflecting respiratory sinus arrhythmia. On other hand, the spectral activity in the low frequency band (0.04-0.15 Hz) is determined by activity of both autonomic--sympathetic and parasympathetic--divisions via barorereflex mechanism (21). Since our study did not reveal significant difference between groups in parameters characterizing the low frequency band; conclusions regarding changes in alone sympathetic branch of autonomic nervous system in ADHD could not be drawn from the short-term heart rate variability analysis.
In conclusion, in children with ADHD the cardiovascular dysregulation (decreased cardiac vagal modulation, tachycardia, altered ability of dynamic autonomic nervous system activation during orthostatic load) was discovered using short-term heart rate variability analysis. It is known that lower heart rate variability is associated with increased risk of cardiovascular morbidity and mortality. Therefore, further studies are needed to characterize and elucidate their mechanisms which may contribute to understanding of complex and sophisticated brainheart relations.
Authors thank Ing. Maria Petraskova for technical assistance. This study was supported by National Research Grant VEGA 1/4239/07.
Received September 7, 2007
(1.) Kim CK, McGorray SP, Bartholomew BA, Marsh M, Dicken T, Wassertheil-Smoller S, et al. Depressive symptoms and heart rate variability in postmenopausal women. Arch Inter Med 2005; 165 : 1239-44.
(2.) Yeragani VK. Heart rate and blood pressure variability: implications for psychiatric research. Neuropsychobiology 1995; 32 : 182-91.
(3.) Beauchaine T. Vagal tone, development, and Gray's motivational theory: Toward an integrated model of autonomic nervous system functioning in psychopathology. Dev Psychopathol 2001; 13 : 183-214.
(4.) Thayer JF, Brosschot JF. Psychosomatics and psychopathology: looking up and down from the brain. Psychoneuroendocrinology 2005; 30 : 1050-8.
(5.) Purges SW. Orienting in a defensive world: Mammalian modification of our evolutionary heritage. A polyvagal theory. Psychophysiology 1995; 32 : 301-18.
(6.) Porges SW. The polyvagal perspective. Biol Psychol 2007; 74 : 116-43,
(7.) Stein PK, Kleiger RE. Insights from the study of heart rate variability. Annu Rev Med 1999; 50 : 249-61.
(8.) Van Ravenswaaij-Arts CMA, Kollee LAA, Hopman JCW, Stoelinga GBA, van Geijn HP. Heart rate variability. Ann Intern Med 1993; 118 : 436-47.
(9.) Javorka K, Javorkova J, Petraskova M, Tonhajzerova I, Buchanec J, Chroma O. Heart rate variability and cardiovascular tests in young patients with diabetes mellitus type 1. J Pediatr Endocrinol Metab 1999; 12:423-31.
(10.) Javorka M, Javorkova J, Tonhajzerova I, Javorka K. Parasympathetic versus sympathetic control of the cardiovascular system in young patients with type 1 diabetes mellitus. Clin Physiol Funct Imaging 2005; 25 : 270-4.
(11.) Tonhajzerova I, Javorka K, Petraskova M. Changes in the variability of the heart rate during mental stress. Cesk Pediatr 2000; 55 : 562-7.
(12.) Thayer JF, Lane RD. A model of neurovisceral integration in emotion regulation and dysregulation. J Affect Disord 2000; 61 : 201-16.
(13.) Thayer JF, Lane RD. The role of vagal function in the risk for cardiovascular disease and mortality. Biol Psychol 2007; 74 : 224-42.
(14.) Furman L. What is attention-deficit hyperactivity disorder (ADHD)? J Child Neurol 2005; 20 : 994-1002.
(15.) Pliszka SR, McCracken JT, Maas JW. Catecholamine in attention-deficit hyperactivity disorder: Current perspectives. J Am Acad Child Adolesc Psychiatry 1996; 35 : 264-72.
(16.) Eisenberg J, Ben-Daniel N, Mei-Tal G, Wertman E. An autonomic nervous system biofeedback modality for the treatment of attention deficit hyperactivity disorder--an open pilot study. Isr J Psychiatry Relat Sci 2004; 41 : 45-53.
(17.) Crowell SE, Beauchaine TP, Gatzke-Kopp L, Sylvers P, Mead H, Chipman-Chacon J. Autonomic correlates of attention-deficit/hyperactivity disorder and oppositional defiant disorder in preschool children. J Abnorm Psychol 2006; 115 : 174-8.
(18.) American Psychiatric Association. Diagnostic & statistical manual of mental disorder DSM-IV-TR (text revision), 4th ed. American Psychiatric Association; 2000. p. 904.
(19.) Salinger J, Gwozdziewicz M. The systems used for the short-term heart rate variability analysis. In: Javorka K, editor. The heart rate variability. Mechanisms, evaluation and clinical usefulness. Martin: Osveta; 2008. p. 57-60.
(20.) Akselrod S, Gordon D, Ubel FA. Power spectrum analysis of heart fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 1981; 213 : 220-2.
(21.) Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate variability. Standards of measurement, physiological interpretation, and clinical use. Circulation 1996; 93 : 1043-65.
(22.) Lilliefors H. On the Kolmogorov-Smirnov test for normality with mean and Variance unknown. J Am Stat Assoc 1967; 62 : 399-402.
(23.) Mann HB, Whitney DR. On a test of whether one of two random variables in stochastically larger than the other. Ann Mathem Statist 1947; 18 : 50-60.
(24.) Beauchaine TP, Katkin ES, Strassberg Z, Snarr J. Disinhibitory psychopathology in male adolescents: discriminating conduct disorder from attention deficit/hyperactivity disorder through concurrent assessment of multiple autonomic states. J Abnorm Psychol 2001; 110 : 610-24.
(25.) Beauchaine TP, Gatzke-Kopp L, Mead HK. Polyvagal theory and developmental psychopathology: Emotion dysregulation and conduct problems from preschool to adolescence. Biol Psychol 2007; 74 : 174-84.
(26.) Galuszka J, Opavsky J, Lukl J, Stejskal P, Zapletalova J, Salinger J. Short-term spectral analysis of heart rate variability during supine-standing-supine test in patients with paroxysmal atrial fibrillation. Biomed Papers 2004; 148 : 63-7.
(27.) Opavsky J. Autonomic nervous system and diabetic autonomic neuropathy. Clinical aspects and diagnosis, 1st ed. Praha: Galen; 2002. p. 304.
(28.) Shibagaki M, Furuya T. Baseline respiratory sinus arrhythmia and heart-rate responses during auditory stimulation of children with attention-deficit hyperactivity disorder. Percept Mot Skills 1997; 84 : 967-75.
(29.) Wilder J. The law of initial values in neurology and psychiatry. J Nerv Ment Dis 1957; 13 : 74-86.
(30.) Benarroch EE. The central autonomic network: functional organization, dysfunction, and perspective. Mayo Clin Proc 1993; 68 : 988-1001.
(31.) Pliszka SR, Glahn DC, Semrud-Clikeman M, Franklin C, Perez III R, Xiong J, et al. Neuroimaging of inhibitory control areas in children with attention deficit hyperactivity disorder who were treatment naive or in long-term treatment. Am J Psychiatry 2006; 163 : 1052-60.
(32.) Borger N, van der Meere J, Ronner A, Alberts E, Geuze R, Bogte H. Heart rate variability and sustained attention in ADHD children--attention deficit-hyperactivity disorder. J Abnorm Child Psychol 1999; 27 : 25-33.
Reprint requests: Dr Ingrid Tonhajzerova, Associate Professor, Department of Physiology, Jessenius Faculty of Medicine Comenius University, Mala Hora 4, 037 54 Martin, Slovak Republic e-mail: email@example.com
Ingrid Tonhajzerova, Igor Ondrejka*, Pavol Adamik*, Radovan Hruby*, Michal Javorka Zuzana Trunkvalterova, Daniela Mokra & Kamil Javorka
Department of Physiology & *Clinic of Psychiatry, Jessenius Faculty of Medicine, Comenius University & Martin Faculty Hospital, Martin, Slovak Republic
Table I. The characteristics of patients with ADHD and control group
ADHD (n = 18) Controls (n = 18)
Age (yr) 10.80 [ or -] 0.40 10.90 [ or -] 0.45
SBP (mmHg) 103 [ or -] 2.15 102 [ or -] 2.18
DBP (mmHg) 66 [ or -] 1.58 67 [ or -] 1.29
BMI 17.44 [ or -] 0.36 18.11 [ or -] 0.37
Values are expressed as mean [ or -] SEM
No significant differences in these parameters
SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI,
body mass index
Table II. The analysis of variance table of repeated measures
R-R interval CCVLF
group effect 0.002 group effect 0.640
posture effect 0.001 posture effect 0.366
posture x group 0.890 posture x group 0.233
CCV HF logLF power
group effect 0.026 group effect 0.114
posture effect 0.001 posture effect 0.003
posture x group 0.760 posture x group 0.098
logHF power logTP power
group effect 0.001 group effect 0.018
posture effect 0.001 posture effect 0.001
posture x group 0.132 posture x group 0.069
R-R interval (ms), CCV (%)--coefficients of component variance
in low (LF) and high (HF) bands, logarithmic values (log) of
spectral powers in low (LF) and high (HF) bands, total power
(TP) in [m.sup.2]
Table III. The parameters of heart rate variability analysis in ADHD
and control groups
ADHD (n = 18)
Supine 1 Ortho
R-R 697 [ or -] 24 546 [ or -] 18
MSSD 3031 [ or -] 877 241 [ or -] 68
CCV LF 2.89 [ or -] 0.18 2.80 [ or -] 0.24
CCV HF 3. 82 [ or -] 0.30 1.65 [ or -] 0.17
LF/HF 0.77 [ or -] 0.13 3.95 [ or -] 0.76
logLF 5.96 [ or -] 0.17 5.32 [ or -] 0.20
logHF 6.49 [ or -] 0.21 4.16 [ or -] 0.27
logTP 7.03 [ or -] 0.16 5.67 [ or -] 0.19
ADHD (n = 18)
Supine 2 Supine 1
R-R 733 [ or -] 26 799 [ or -] 25 **
MSSD 4905 [ or -] 1146 5361 [ or -] 1009 *
CCV LF 3.21 [ or -] 0.29 2.77 [ or -] 0.25
P = 0.693
CCV HF 4.82 [ or -] 0.30 5.20 [ or -] 0.63 *
LF/HF 0.61 [ or -] 0.16 0.58 [ or -] 0.21 *
logLF 6.21 [ or -] 0.18 6.14 [ or -] 0.18
P = 0.477
logHF 7.07 [ or -] 0.18 7.25 [ or -] 0.23 **
logTP 7.53 [ or -] 0.15 7.51 [ or -] 0.21
P = 0.082
Controls (n = 18)
Ortho Supine 2
R-R 658 [ or -] 20 ** 832 [ or -] 27 *
MSSD 1328 [ or -] 426 ** 10467 [ or -] 2560 *
CCV LF 3.19 [ or -] 0.28 3.16 [ or -] 0.35
P = 0.172 P = 0.919
CCV HF 3.03 [ or -] 0.49 * 5.85 [ or -] 0.56
P = 0.108
LF/HF 2.55 [ or -] 0.78 0.53 [ or -] 0.18
P = 0.137 P = 0.523
logLF 5.95 [ or -] 0.18 6.30 [ or -] 0.26
P = 0.052 P = 0.764
logHF 5.53 [ or -] 0.30 ** 7.63 [ or -] 0.21 *
logTP 6.65 [ or -] 0.21 ** 7.77 [ or -] 0.22
P = 0.384
Values are expressed as mean [ or -] SEM. R-R intervals (ms), mean
squared successive differences between R-R intervals in [ms.sup.2]
(MSSD), coefficients of component variance (CCV in %) in low (LF) and
high (HF) bands, logarithmic values (log) of spectral powers in low
(LF) and high (HF) bands, total power (TP) in [ms.sup.2]. Data in the
first supine position (Supine 1), orthostasis (Ortho) and in the
following supine position (Supine 2) are given as arithmetic mean
[ or -] SEM. Significant difference between ADHD and control groups
are presented in the Table alongwith data. * P < 0.05, ** P <0.01
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