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|Year : 2018
: 60 | Issue : 2 | Page
|Assessment of neurological soft signs in pediatric patients with HIV infection
Najla Eiman1, Rajesh Raman1, SN Mothi2, TS Sathyanaryana Rao1, Nawab Akhtar Khan3, Vaishnawi Kunusegaran2, R Tharun Krishnan1
1 Department of Psychiatry, JSS Medical College and Hospital, JSS University, Mysore, Karnataka, India
2 Department of Pediatrics, Asha Kiran Charitable Trust, Mysore, Karnataka, India
3 Department of Clinical Psychology, JSS Medical College and Hospital, JSS University, Mysore, Karnataka, India
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|Date of Web Publication||17-Aug-2018|
| Abstract|| |
Background: Children and adolescents comprise a significant proportion of people living with HIV. The effects of HIV on the growing brain have generated interest among researchers in this field. Deficits arising during this crucial phase of neuromaturation due to HIV infection need to be assessed and addressed. Neurological soft signs (NSSs) can act as a proxy marker for underlying neuropsychological deficits. The present study aims to study the NSSs in pediatric patients with HIV and compare with healthy controls (HCs).
Materials and Methods: Forty-eight children aged between 6 and 16 years diagnosed with HIV were selected by purposive sampling, and the Physical and Neurological Examination of Soft Signs (PANESS) scale was applied. Fifty children matched by age and sex were recruited from a nearby school, and the PANESS scale was applied. Children were divided into age- and gender-specific groups. The outcome scores of cases and controls groups were compared.
Results: Males and females aged 13–16 years with HIV showed more soft signs as compared to HCs, with respect to gait errors, dysrhythmia, impersistence, speed of repetitive and sequenced movements, overflow with gaits, overflow with sequenced movements, total overflow, and overflow in excess of age. The differences in scores were less marked in younger age groups among both the genders.
Conclusions: The persistence of NSSs in older age group in HIV-infected children may point toward the presence of HIV-associated neurological disorder.
Keywords: Neurological soft signs, pediatric HIV infection, Physical and Neurological Examination of Soft Signs
|How to cite this article:|
Eiman N, Raman R, Mothi S N, Sathyanaryana Rao T S, Khan NA, Kunusegaran V, Krishnan R T. Assessment of neurological soft signs in pediatric patients with HIV infection. Indian J Psychiatry 2018;60:229-35
|How to cite this URL:|
Eiman N, Raman R, Mothi S N, Sathyanaryana Rao T S, Khan NA, Kunusegaran V, Krishnan R T. Assessment of neurological soft signs in pediatric patients with HIV infection. Indian J Psychiatry [serial online] 2018 [cited 2021 Jul 24];60:229-35. Available from: https://www.indianjpsychiatry.org/text.asp?2018/60/2/229/239143
| Introduction|| |
Globally, over 3.2 million children are affected by HIV who comprise 9.1% of all people living with HIV. The relation between HIV and neurological damage is well known with HIV causing direct neurological damage as well as due to HIV-related states. HIV-associated neurocognitive disorder is a well-researched entity in adults, but when it comes to children, there is a scarcity of literature. Childhood and adolescence are the crucial periods for neurodevelopment, and hence, any insult to the immature brain during this phase can lead to the development of permanent neurological sequelae.
The predominant mode of transmission of HIV in children is from mother to child transmission. In children affected by HIV, the virus enters the brain within days to weeks of the primary infection and leads to neuronal damage and cell death. HIV infection does not cause neurological damage by directly affecting the neurons, but there exists a complex interplay between the uninfected cells and neurons that ultimately lead to neuronal damage. Neurocognitive deficits in HIV patients can occur as a primary HIV-related disorder or as sequelae of HIV encephalopathy or other secondary infections. Children who have suffered HIV encephalopathy are 9.4 times more likely to develop neurocognitive disorders.
Previous research has shown a poorer functioning of children with HIV on various measures of neurodevelopmental assessment. Even in those children who are neurologically asymptomatic, there may be ongoing neuronal damage. The neuropathogenesis is often disproportionate to the findings on clinical neurological examination, and only a focused neurological examination can pick up the deficits in apparently asymptomatic children. Cognitive profiling of HIV-infected children reveals deficits in attention, language, verbal learning and memory, visuomotor functions, fine motor performance, and executive functions. Neuropsychological deficits in asymptomatic patients, especially deficits in executive functions, language, and memory, may interfere with activities of daily living as well as scholastic difficulties.
There may be subtle neurological abnormalities in HIV-infected children who are asymptomatic, which may go unnoticed on routine neurological examination. These deficits can manifest as neurological soft signs (NSSs) which, although developmental, can point toward underlying neurological damage.
Schilder coined the term soft signs. These were defined by Shafer et al. as nonnormative performance on neurological examination by people who are not mentally retarded and are without focal neurological deficits. Softness refers to the validity and reliability of these signs. NSS being developmental may be observed in younger children and reflects a failure of cortical motor inhibition. These subtle signs can serve as markers for inefficiency in neighboring parallel brain systems important for control of cognition and behavior. Persistence of subtle signs into later childhood and adolescence, however, may indicate an abnormal neurological development. NSSs in children have been associated with a number of neuropsychiatric disorders such as psychosis, autism, specific learning disabilities (SLD), attention-deficit and hyperactivity disorder (ADHD),, and obsessive–compulsive disorder.
The current study aims to study the NSSs in HIV-infected children as the previous research showed that NSSs and neuropsychological assessment may be two different ways of capturing the same construct–the brain functioning., Testing for NSS may be easier when compared to a detailed neuropsychological assessment and is time-saving, and NSS could act as a proxy indicator for underlying neuropsychological deficits.
| Materials and Methods|| |
The present study is a prospective, observational-matched, cross-sectional cohort study comparing NSSs in pediatric HIV patients and matched controls. Forty-eight children diagnosed with HIV were recruited by purposive sampling from Asha Kiran Hospital at Mysore after obtaining an ethical clearance. Fifty matched controls were recruited from a private school at the same town after holding parent–teacher meetings where informed consent was obtained from the guardians as well as the controls above 12 years of age. The cases and controls were recruited after ruling out for criteria as per the ICD-10 Diagnostic Research Criteria for Mental retardation and Conduct disorder; ADHD was assessed through the Swanson, Nolan, and Pelham-IV (SNAP-IV) 26-item screening tool; Screening measures which were used to rule out the confounding factors included detailed clinical history to exclude cases of Mental retardation, Conduct disorder, Seizure disorder, neuroinfections, cerebrovascular accidents, physical disability and visual and/or hearing impairment. Screening tool to rule out ADHD was Swanson, Nolan, and Pelham-IV (SNAP-IV) 26-item screening tool. Specific Learning disability was ruled out using Short Screening tool for SLD.
Sociodemographic and clinical datasheet
A semi-structured form especially designed for the study was used. It consisted of questions covering all areas of sociodemographic details and questions related to evidence of intellectual disability, ADHD, SLD, any past neuroinfections, seizures, and physical impairments.
Gesell's drawing test 
It is an intelligence test to screen out intellectual disability. It can be used in children with mental handicap, hearing impairments, and other developmental disabilities. The test items have been divided into three levels and comprise 45 items. The reliability for the scale for the three levels varies between 0.66 and 0.78 and the validity is 0.982
SNAP-IV 26-item attention-deficit and hyperactivity disorder Rating Scale 
This is the original scale which was devised consisted of 90 items which assessed for ADHD, oppositional defiant disorder, and some other symptoms as per the DSM-1V. A 26-item SNAP-IV version (short form), also referred to as the MTA version, was devised to assess for the ADHD core symptoms which include hyperactivity, impulsivity, and inattention.
Short Rating Scale for learning disability 
It has been developed and validated at our institute and is not yet published. The scale consists of 31 items divided into seven subcategories of vision and hearing, coordination and organization, memory, reading, writing, calculation, and miscellaneous category, with a global score ranging between 0 and 93.
NCHS normalized reference weight-for-length and weight-for-height by sex 
It is used to assess for malnutrition.
Modified Kuppuswamy Scale 
It is used to assess the socioeconomic class. This classification was originally proposed in 1976. In our study, we have used the revised version of it. The Kuppuswamy scale continues to be one of the most important tools for research in India. The socioeconomic class global score is derived from subcategory scores of monthly income of family, education score, and occupation score. The total score varies from 3 to 29, and there are five outcome groups of socioeconomic class.
Revised Physical and Neurological Examination for Soft Signs scale – Denckla, 1955
The revised version of Physical and Neurological Examination of Soft Signs (PANESS) consists of 21 items. It is an observational scale with questions covering gait, stance, laterality and quality of rapid movements, impersistence score, involuntary movement score, repetitive speed of movement score, sequenced speed of movement score, and asymmetrical movement score. It assesses in terms of laterality and timed and untimed motor movements. It has been found to have adequate test–retest reliability, inter-rater reliability, and internal consistency.
Scoring of Physical and Neurological Examination for Soft Signs
The outcome scores of PANESS have been divided into 13 components, which include lateralization pattern assignment, gait and balance error score, impersistence score, dysrhythmia errors, involuntary movement score, speed of repetitive movements, speed of patterned movements, overflow with gaits, overflow with repetitive movements, overflow with patterned movements, grand total overflow, overflow in excess for age, and asymmetric error score.
The Statistical Package for the Social Science-22 (IBM Corp, Armonk, NY) was used to analyze the data. The cases and controls were divided into three age- and gender-specific groups of 6–16 years. Data were dichotomized on measures of gender, antiretroviral therapy (ART) status versus pre-ART status. Descriptive and inferential statistics were used. Taking into account the nonparametric distribution of data, median and interquartile range were considered. Comparisons in NSS were made between cases and controls in each age and gender groups. Comparisons were also made between cases on ART and not on ART, malnourished versus normal cases; NSS between males and females was compared among cases. The significance level was set at P < 0.05. Correlational statistics were used to assess the NSS in relation to CD4 cell count and stage of disease.
| Results|| |
The mean age of cases was 12.12 years and that of controls was 10.6 years. There was a significant difference in the means between the two groups [Table 1]. However, the cases and controls were compared by considering age-specific groups, which did not reveal a significant difference in the means. Males represented for 56.3% of cases and 48% of controls. The mean CD4 count was 716.8 cells/cumm and the mean duration while on ART was 4.36 years. 79.2% of all the cases were on ART. The cases included in the study belonged to WHO Stage 1 and 2 of HIV and none in the Stage 3 or 4. Malnutrition was assessed using the WHO/NCHS normalized data, and 14.6% of the cases were found to be falling into the category of moderate malnutrition. About 85% of the population belonged to the lower-middle and upper-lower socioeconomic class as per the modified Kuppuswamy scale [Table 2].
There was no statistically significant difference noted in the lateral preferences between the cases and the controls, wherein both showed a predominant righthandedness followed by mixed laterality. In the age group of 13–16 years males [Table 3], significant difference was noted on measures of gait errors, dysrhythmia score, involuntary movement score, speed of repetitive movements bilaterally, speed of sequenced movements on left side, overflow with gaits, overflow with sequenced movements, total overflow, and overflow in excess of age. In the age group of 10–12 years, significant differences were noted with respect to speed of repetitive movement score on right side, total overflow, and overflow in excess of age. Among the age group of 6–9 years, higher frequency of NSS was found in relation to dysrhythmia score, speed of sequenced movement score on the right side, overflow with repetitive movements, overflow with sequenced movements on the right side, and total overflow. It is worthwhile to note that the differences in NSS between cases and controls in males in age group 13–16 years were significant as compared to the younger age group, where both cases and controls scored comparatively on most of the components of the PANESS scale.
Similarly, in females of age group 13–16 years, statistically significant differences were noted among eight components of PANESS scale, which included gait errors, dysrhythmia errors, speed of repetitive movement and sequenced movement on right side, overflow with gaits, overflow with repetitive movements, total overflow, and overflow in excess of age [Table 4]. As compared to the younger age groups, the age group of 13–16 years revealed significant differences on higher number of components of NSS between cases and controls.
The lateralization of errors was more toward the left in both the groups, and no statistically significant differences were noted with laterality between cases and healthy controls (HCs). No significant differences were noted in SS with respect to gender, which was not consistent with the findings of previous studies which showed that at developmental NSS in girls resolved earlier than boys., NSS showed a negative correlation with age which has been consistent with the previous studies. Significant differences in NSS between the ART-receiving group and those not on ART were noted on involuntary movement score, speed of repetitive movement, total overflow, and overflow in excess of age [Table 5].
No significant correlation was found between NSS and CD4 count, stage of disease, and duration of ART and malnutrition [Table 6] and [Table 7].
| Discussion and Conclusions|| |
HIV has shown to cause neurocognitive and motor deficits in children. Insult to the growing central nervous system (CNS) of a child has implications on the trajectory of neurodevelopment. NSSs are considered to be developmental, and their association has been found with neurodevelopmental disorders such as ADHD, SLD, and certain neuropsychiatric conditions. We hypothesized that with HIV-bearing implications on neurocognitive and motor development, NSS may be used as a useful marker to identify these deficits in HIV-infected children. An effort was made in our study to capture these subtle neurodeficits in HIV-infected children, which may actually act as a proxy marker for underlying neuropsychological deficits. Our results showed that the differences in NSS were more marked in the age groups of 13–16 years in both the sexes while the previous studies showed that NSSs decrease with onset of puberty and adolescence reflecting maturation of CNS. The presence of >2 NSS is clinically significant after puberty. Their persistence in the present study could point to a maturational lag in the nervous system of HIV-infected individuals. The presence of NSS could also indicate an abnormal neurological development in these children predisposing them to other neuropsychiatric disorders. The failure to pick up the differences in NSS in younger age groups could be due to the fact that NSS is inherently present at a higher frequency even in controls within this age group.
Previous research has shown that NSS and assessment of neuropsychological deficits may be two different ways of measuring similar constructs. Further studies are needed to assess the correlation between NSS and different constructs of neuropsychological battery. This may have implications in the use of NSS in clinical setting to screen neuropsychological deficits, which may be less time-consuming.
The present study did not find any gender differences with respect to NSS in HCs in contrast to earlier studies, which show that gender differences existed in soft signs with girls performing faster and having better coordination. This finding could be due to the smaller sample size taken in our study which failed to reflect differences with regard to gender and also the smaller number of subjects in age-specific groups.
Significant differences were noted in four of the components of NSS in the ART and non-ART groups with ART group performing better than those not on ART. There are studies which have assessed for the neuroprotective effects of the ART medication  and studies which support the early initiation of ART in the prevention of permanent neurological damage. However, the other facet of early initiation of ART is neuropsychiatric and other side effects due to ART itself which has to be carefully balanced with the plausible benefits.
No significant differences were noted with respect to the stage of the disease. This could imply that HIV could cause direct viral damage to the CNS independent of stage of disease or degree of immune compromise. None of the children in the study belonged to Stage 3 or higher clinical stage, which naturally ruled out the possibility of the confounding effects of possible opportunistic infections affecting the CNS in the subjects chosen. The presence of NSS in this clinical sample which included clinical Stages 1 and 2 may point toward the onset of neurological damage even in children with early clinical stages of HIV. This is consistent with the findings of previous research that has found neurocognitive and motor deficits in children with high lymphocyte counts.
We did not find a correlation between NSS and nutritional status of children. Malnutrition which is highly prevalent in developing countries itself could independently affect neurocognitive development in HIV children. Studies have shown that malnutrition could act as a comorbid factor in HIV-related cognitive impairment. The failure to identify cognitive deficits with respect to malnutrition can be explained in that children included in the study fell into mild and moderate degrees of malnutrition and none of them qualified for severe category.
Assessment for NSS becomes more useful if there are studies to translate these findings into degree of impairment in daily functioning of HIV-infected children, especially scholastic difficulties, participation and sports, and other day-to-day activities. NSSs are nonspecific, but their presence during adolescence and at older ages could signify neurological abnormality. There are several attempts to map NSS to neuroanatomical regions. Higher scores on gait errors and dysrhythmia could be related to cerebellar dysfunction. Time taken for repetitive and sequenced movements could represent deficits in motor speed and executive functions, which can be mapped to the anterior cerebellar lobe and basal ganglia. The higher scores on overflow movements seen among cases may point toward a disorder in corpus callosal connectivity, resulting in poorer cortical inhibition. Performance of fine motor movements is dependent on corticospinal tracts and corpus callosal connectivity. Similarly, motor impersistence is characterized by chorie form movements and lapses in postural control, which indicate deficits in executive functions mapped to the frontal cortex. As motor system matures, behavioral inhibition increases leading to a decrease in overflow movements. An asymmetry in lateralization errors which was shown toward the left side points out at the hemispheric differences during maturation. The persistence of NSS can have implications for the development of behavioral disturbances and the vulnerability to develop psychiatric disorders in these children.
Our study had certain limitations. The sample taken was smaller. The age range was wide and this limited the number of subjects in each age-specific group which may have prevented better comparison. We did not take into account the home environment of the subjects which itself could have bearing on the level of cognitive stimulation a child receives. The HIV status and psychiatric morbidity of the caregiver were not considered which may affect the compliance, the level of engagement of the child, and the opportunities for cognitive growth. Similarly, we did not rule out depression in these children which may affect the performance on tasks. The comment that NSS decrease with adolescence and pubertal onset was not substantiated by actual sexual maturity rating of the subjects.
Overall, the findings of our study indicate that there is neuromaturational delay or an abnormal neurological development in an HIV-infected individual, which manifests as subtle signs on examination. This may put an adolescent at risk for behavioral and psychiatric problems. NSS can also act as a proxy marker for underlying neurocognitive deficits, and there is a need to screen children at risk for the same. Identifying such deficits in initial stages can help us in early intervention in the form of neuropsychological rehabilitation to prevent the progress to more severe degrees of impairment. Examining for soft signs is less time-consuming and needs little training. However, we still need studies to find how well the soft signs correlate with neuropsychological functions in children and what construct of it do they contribute toward.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Sharer LR. Pathology of HIV-1 infection of the central nervous system. A review. J Neuropathol Exp Neurol 1992;51:3-11.
Spudich S, González-Scarano F. HIV-1-related central nervous system disease: Current issues in pathogenesis, diagnosis, and treatment. Cold Spring Harb Perspect Med 2012;2:a007120.
Hoare J, Phillips N, Joska JA, Paul R, Donald KA, Stein DJ, et al.
Applying the HIV-associated neurocognitive disorder diagnostic criteria to HIV-infected youth. Neurology 2016;87:86-93.
Ruel TD, Boivin MJ, Boal HE, Bangirana P, Charlebois E, Havlir DV, et al.
Neurocognitive and motor deficits in HIV-infected Ugandan children with high CD4 cell counts. Clin Infect Dis 2012;54:1001-9.
Meyer AC, Boscardin WJ, Kwasa JK, Price RW. Is it time to rethink how neuropsychological tests are used to diagnose mild forms of HIV-associated neurocognitive disorders? Impact of false-positive rates on prevalence and power. Neuroepidemiology 2013;41:208-16.
Ravindran OS, Rani MP, Priya G. Cognitive deficits in HIV infected children. Indian J Psychol Med 2014;36:255-9.
] [Full text]
Papola P, Alvarez M, Cohen HJ. Developmental and service needs of school-age children with human immunodeficiency virus infection: A descriptive study. Pediatrics 1994;94:914-8.
Shafer SQ, Shaffer D, O'Connor PA, Stokman CJ. Hard thoughts on neurological “soft signs”. In: Rutter M, editor. Developmental Neuropsychiatry. New York: Guilford Press; 1983. p. 133-43.
Mechri A, Slama H, Bourdel MC, Chebel S, Mandhouj O, Krebs MO, et al.
Neurological soft signs in schizophrenic patients and their nonaffected siblings. Encephale 2008;34:483-9.
Mandelbaum DE, Stevens M, Rosenberg E, Wiznitzer M, Steinschneider M, Filipek P, et al.
Sensorimotor performance in school-age children with autism, developmental language disorder, or low IQ. Dev Med Child Neurol 2006;48:33-9.
Kandt RS. Neurologic examination of children with learning disorders. Pediatr Clin North Am 1984;31:297-315.
Dickstein DP, Garvey M, Pradella AG, Greenstein DK, Sharp WS, Castellanos FX, et al.
Neurologic examination abnormalities in children with bipolar disorder or attention-deficit/hyperactivity disorder. Biol Psychiatry 2005;58:517-24.
Mostofsky SH, Newschaffer CJ, Denckla MB. Overflow movements predict impaired response inhibition in children with ADHD. Percept Mot Skills 2003;97:1315-31.
Guz H, Aygun D. Neurological soft signs in obsessive-compulsive disorder. Neurol India 2004;52:72-5.
] [Full text]
Chan RC, Wang Y, Wang L, Chen EY, Manschreck TC, Li ZJ, et al.
Neurological soft signs and their relationships to neurocognitive functions: A re-visit with the structural equation modeling design. PLoS One 2009;4:e8469.
Flashman LA, Flaum M, Gupta S, Andreasen NC. Soft signs and neuropsychological performance in schizophrenia. Am J Psychiatry 1996;153:526-32.
Verma SK, Pershad D, Kaushal P. Gesell drawing test as a measure of intelligence in the mentally retarded children. Indian J Ment Retard 1972;5:64-8.
Baren M, Swanson JM. How not to diagnose ADHD. Contemp Pediatr 1996;13:53-64.
Mushtaq NF, Khan NA. Short Rating Scale for Learning Disability, JSS University; 2015.
Mishra D, Singh HP. Kuppuswamy socioeconomic status scale – A revision. Indian J Pediatr 2003;70:273-4.
Werry JS, Aman MG. The reliability and diagnostic validity of the physical and neurological examination for soft signs (PANESS). J Autism Child Schizophr 1976;6:253-62.
Denckla MB. Development of speed in repetitive and successive finger-movements in normal children. Dev Med Child Neurol 1973;15:635-45.
Denckla MB, Rudel RG. Development of motor co-ordination in normal children. Dev Med Child Neurol 1974;16:729-41.
Nozyce M, Hittelman J, Muenz L, Durako SJ, Fischer ML, Willoughby A, et al.
Effect of perinatally acquired human immunodeficiency virus infection on neurodevelopment in children during the first two years of life. Pediatrics 1994;94:883-91.
Birch HG, Gussow JD. From Disadvantaged Children: Health, Nutrition and School Failure. New York: Harcourt, Brace and World; 1970.
Rao KS, Ghorpade A, Labhasetwar V. Targeting anti-HIV drugs to the CNS. Expert Opin Drug Deliv 2009;6:771-84.
Tozzi V, Balestra P, Bellagamba R, Corpolongo A, Salvatori MF, Visco-Comandini U, et al.
Persistence of neuropsychologic deficits despite long-term highly active antiretroviral therapy in patients with HIV-related neurocognitive impairment: Prevalence and risk factors. J Acquir Immune Defic Syndr 2007;45:174-82.
Abers MS, Shandera WX, Kass JS. Neurological and psychiatric adverse effects of antiretroviral drugs. CNS Drugs 2014;28:131-45.
Mwila P, Menon AJ, Shilalukey-Ngoma M, Hestad K, Heaton R. Effects of malnutrition as a co-morbid factor on neurocognitive functioning in HIV positive adults in Lusaka, Zambia. Med J Zambia 2014;41:95-9.
Dazzan P, Morgan KD, Chitnis X, Suckling J, Morgan C, Fearon P, et al.
The structural brain correlates of neurological soft signs in healthy individuals. Cereb Corte×2006;16:1225-31.
Schmahmann JD. Disorders of the cerebellum: Ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome. J Neuropsychiatry Clin Neurosci 2004;16:367-78.
Wenzel U, Taubert M, Ragert P, Krug J, Villringer A. Functional and structural correlates of motor speed in the cerebellar anterior lobe. PLoS One 2014;9:e96871.
Knyazeva M, Koeda T, Njiokiktjien C, Jonkman EJ, Kurganskaya M, de Sonneville L, et al.
EEG coherence changes during finger tapping in acallosal and normal children: A study of inter- and intrahemispheric connectivity. Behav Brain Res 1997;89:243-58.
Martins IP, Lauterbach M, Luís H, Amaral H, Rosenbaum G, Slade PD, et al.
Neurological subtle signs and cognitive development: A study in late childhood and adolescence. Child Neuropsychol 2013;19:466-78.
Paus T, Zijdenbos A, Worsley K, Collins DL, Blumenthal J, Giedd JN, et al.
Structural maturation of neural pathways in children and adolescents:In vivo
study. Science 1999;283:1908-11.
Walker EF, Sabuwalla Z, Huot R. Pubertal neuromaturation, stress sensitivity, and psychopathology. Dev Psychopathol 2004;16:807-24.
Dr. Najla Eiman
Department of Psychiatry, JSS Medical College Hospital, Mysore, Karnataka
Source of Support: None, Conflict of Interest: None
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7]