Structural Neuroimaging Findings in Autism Spectrum Disorder: A Systematic Review

 

P. Yugander1,2, M. Jagannath2*

1Dept. of ECE, Kakatiya Institute of Technology and Science, Warangal, Telangana, India.

2School of Electronics Engineering, Vellore Institute of Technology (VIT), Chennai, Tamil Nadu, India.

*Corresponding Author E-mail: jagan.faith@gmail.com

 

ABSTRACT:

Autism Spectrum Disorder (ASD) is widely developing neurodevelopmental disorder. The ASD is a lifelong neurodevelopmental disorder that effects the social interaction and behavior of human beings. In this review, we presented structural magnetic resonance imaging (sMRI) studies that were examined in structural brain abnormalities of ASD patients. To date sMRI results were distinct, due to the diversity of the ASD itself. The accelerated brain volume is the uniform finding of ASD. However, the recent investigation reports have started to interpret the structural abnormalities of ASD patient’s brain. The most common abnormalities found in total brain volume, cerebellum, amygdala, hippocampal, basal ganglia, insula, gray and white matter. Limited sMRI research has been done on less than 2 years ASD children. Future research should include autistic children less than 2 years along with functional MRI and diffusion tensor imaging.

 

KEYWORDS: Autism, Autism Spectrum Disorder (ASD), Structural Magnetic Resonance Imaging (sMRI), Asperger Syndrome, Total Brain Volume.

 

 


INTRODUCTION:

Autism Spectrum Disorder is a highly genetic neurodevelopmental disorder. It is characterized by behavioral criteria like impairment in social communication and interaction. The term autism was first introduced by Leo Kanner in 1943. Kanner et al1 investigated a case study with 11 children and found new symptoms like a repetitive, stereotyped activity, lack of language developmental and communication skills. Later that new disease is named as autism.

 

The aim of this review is to present the structural abnormalities in ASD. The ASD can be primarily identified using diagnostic statistical manual (DSM) of mental disorders, Autism diagnostic observation schedule (ADOS), and Autism diagnostic interview revised (ADI-R). The DSM is prepared by the American Psychiatric association to identify all types of brain related diseases2-4.

 

DSM first version was published in 1952. According to DSM-5, ASD symptoms are divided into social interaction and communication domain (SICD) and repetitive domain (RD)5. The ASD is identified in primary stage, if the children have minimum two symptoms from SICD and three symptoms from RD. The ADOS is an instrument with structures and semi structured activities. It is used to assess the social behavior of the ASD children. This method can be used for 12 to 30 months age children6. The ADI-R is other tool used to detect the autism children. In this method interview is conducted for autistic children’s parents by doctor. It is used for only above 18 months children7.

 

Early sMRI studies of ASD have a number of limitations like less magnetic field strength, thickness of slices and less number of samples. Early studies used computed tomography (CT) images to detect the ASD controls. Several studies have been failed to identify brain abnormalities in autism controls due to ionization effect and poor spatial resolution of CT scan images8. In 1970, new technology was introduced which is called magnetic resonance imaging (MRI). It provides high spatial resolution images without using ionization effect. MRI is used to identify structural abnormalities in brain9. Later, diffusion MRI was invented in 1985. Diffusion MRI measures white matter fibers in brain by calculating the diffusivity and fractional anisotropy10. But the above two techniques are structural quantities of brain but fails to provide information about functioning of brain. In 1995 functional MRI was invented to measure the brain activity. Functional MRI identifies the active regions in brain by calculating the blood flow and neural activity in the specific region11.

 

According to the centers for decease control and prevention (CDC) statistics, in the year 2000, ASD was identified in 1 child out of 150 children. In 2004 it was fund in 1 child out of 125 children. In 2008, it was detected in 1 child out of 88 children, in 2012, 1.5% of population was suffering from ASD i.e., 1 child out of 69 children. Later in 2016, it was identified 1 child out of 59 children. Finally, by 2020 ASD will reach to 1 child out of 50 children.   

 

MATERIAL AND METHODS:

This review was based on a systematic search of published articles available through November 2019, and conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. PubMed, PsycINFO, Science Citation Index and Scopus Journals were searched for relevant literature. No language or date constraint was used. Search terms used for this review are <ASD> or <total brain volume> or <gray and white matter> or <cerebellum> or < basal ganglia> or <Amygdala> or <Insula>.

 

Eligibility Criteria:

Our study is focused on autism patients between 6 months to 60 years patients. We have compared healthy control group with autistic disorder group, pervasive developmental disorder not otherwise specified (PDD-NOS) group, and Asperger syndrome (AS) group.

 

Inclusion criteria:

I. Only human participants were included in study

II. Clinically diagnosed ASD patients were included

III. Only sMRI studies were included

 

Exclusive Criteria:

I. Articles not published in English were excluded

II. Structural MR images acquired from less than 1.5 Tesla were excluded

III. Encyclopedia, book chapters and books were excluded

 

Study Selection:

The following PRISMA search strategy was implemented for this study12. Total 490 case studies were identified from all databases using the above search strategy. From 490 case studies 184 duplicate studies were eliminated. According to inclusion and exclusion criteria 249 case studies were eliminated from 306 case studies. Finally, only 57 studies were included in this review. 

 

RESULTS AND DISCUSSION:

Nero imaging approach is widely used in MR imaging studies. Especially structural MR imaging directly provides the volumetric abnormalities of the brain. In general, ASD patients brain functions abnormally compared to the healthy controls. The following brain regions plays important role while identifying ASD patients: Total brain volume, cerebellum, Amygdala, Hippocampus, Insula, Basal Ganglia, Thalamus, Corpus callosum, Cingulate gyrus, Planum template, gray and white matter. This review presents the abnormalities of the above brain regions (Table 1).

 

Total brain volume:

The most common finding in ASD is enlarged total brain volume (TBV). The Structural MRI is a noninvasive tool which is widely used for measuring volumetric data of brain. ASD children had decreased brain size at birth, but increases rapidly throughout early childhood and no change was found in adolescence13. In likewise, Aylward et al.14 investigated 67 autism controls with 83 healthy age-matched controls and reported that the TBV was increased before 12 years of age and later no difference was found in autism controls. The first twenty-four months of life is crucial in human brain growth. The first evidence of the abnormal brain growth is reported by Courchesne et al.15. The brain of the ASD children is enlarged during 2 to 4 years old and decreased during 12 to 16 years old. Hazlett et al.16 examined 51 autism individuals with 25 healthy controls between 18 months to 36 months of age and reported that the total brain volume is increased by 5 to 10% in autism individuals. In addition, Janet et al.17 revealed that the enlarged TBV found in between birth and 6 to 14 months of ASD children. In contrast, many researchers had reported that significant differences were not found in autism controls18,19. In autism controls head size was decreased at birth and decreased during 1to 2 months and 6 to 14 months of age compared to PDD NOS controls.  Reduced cerebellum GM volume at birth and increased cerebral cortex volume during 1 to 2 and 6 to 14 months of age were found in autism infants20.

 

Gray matter and White matter:

Gray matter (GM) and White matter (WM) volumetric measurements significantly differ in ASD patients. The autism controls were found with increased GM in occipital cortex, thalamus, central gyrus, insula, superior temporal gyri, claustrum, caudate, fusiform gyrus, and cerebellum and decreased WM in middle occipital gyrus, superior frontal gyri, inferior parietal lobule, para hippocampus gyrus and cingulated gyrus21. In addition, Rojas et al.22 investigated 24 autism subjects with 23 healthy age-sex matched subjects and reported autistic controls found with decreased GM in left hippocampus, medial frontage matched gyrus, right fusiform gyrus, left ore-central gyrus, caudate nuclei and right post central gyrus. But GM was decreased in cerebellum of autism subjects. In contrast, Autism controls were found with no change in parietal and occipital lobe23.


 

Table 1: Structural MRI abnormality findings in autism patients

Author

Year

ASD controls

Comparisons

Findings in ASD

Aylward et al.14

2002

83 Autism patients

(age: 12-46 years)

67 Healthy controls

(age: 12-46 years)

Brain size was increased up to 12 years and No differences were found after 12 years

Courchesne et al.15

2001

60 Autism patients

(age: 2-16 years)

52 Healthy controls

(age: 2-16 years)

TBV was increased during 2 to 4 years and decreased during 12 to 16 years

Hazlett et al.16

2005

51 Autism patients

(age: 18-35 years)

25 Healthy controls

(age: 18-35 years)

Enlargement of TBV was started at 12 month of age

Hazlett et  al.18

2012

98 High risk

autism patients

(age: 6 months)

36 Low risk autistic

controls

(age: 6 months)

No significance differences were found in autism patients

Redcay et al.19

2005

15 Autism patients

(age: 2-4 years)

10 Healthy controls

(age: 2-4 years)

No significance differences were found in both groups

Courchesne et al.20

2003

17 Autism controls

(age: 0-2 years)

5 PDD NOS controls

(age: 0-2 years)

Head size decreased at the birth and increased during 1-2 months and 6-14 months of age.

Rojas et al.22

2006

24 Autism patients

(age: 7-47 years)

23 Healthy controls

(age: 7-47 years)

GM was decreased in left hippocampus, medial frontal gyrus, right fusiform gyrus, left ore-central gyrus, caudate nuclei and right post central gyrus.

Hazlett et. al.23

2006

23 Autism patients

(age: 13-29 years)

15 Healthy controls

(age: 13-29 years)

GM was increased in temporal lobe and frontal lobes.

Courchesne et. al.24

1988

18 Autism patients

(age: 6-30 years)

12 Healthy controls

(age: 9-37 years)

Cerebellar vermal lobules VI and VII  were significantly decreased

Courchesne et al.25

1994

50 Autism patients

(age: 6-30 years)

53 Healthy controls

(age: 3-37 years)

Cerebellar vermal lobule VI and VII were decreased in hypoplasia and increased in hyperplasia

Piven et al.26

1992

15 Autism patients

(age: 21-53 years)

15 Healthy controls

(age: 25-46 years)

No significant differences were found in cerebellar vermis

Hardan et al.27

2001

22 Autism patients

(age: 12-52 years)

22 Healthy controls

(age: 13-52 years)

Cerebellar hemispheres were increased

Schumann et al.28

2004

16 LFA controls

27 HFA controls

25 Autism controls

(age: 7.5 to 18.5 years)

27 TD controls

(age: 7.5 to 18.5 years)

Left and right amygdala was increased

Schumann et al.29

2009

41 Autism patients

(age: 1-5 years)

41 Healthy controls,

(age: 1-5 years)

Right and left amygdala was increased in males and females. Only left amygdala was increased in females.

Aylwarde et al.30

1999

14 Autism patients

(age: 11-37 years)

14 Healthy controls

(age: 12-52 years)

Hippocampus was significantly decreased

Nicolson et al.31

2006

21Autism patients

(age: 6-16 years)

24 Healthy controls

(age: 6-16 years)

Right medial posterior hippocampus volume was decreased

Sparks et al.32

2002

45 autism controls

(age: 38-54 months)

26 DD controls

(age: 36-56 months)

26 TD controls

(age: 36-56months)

Right and left hippocampus was increased by 8.54% and 9.16% respectively. Right and left amygdala was increased by 16.67% and 13.64% respectively.

Bigler et al.33

2003

38 Autism patients

(age 7–31 years)

27 Healthy controls

(age 7–22 years)

No significant differences were found in hippocampus

Piven et al.34

1998

35 Autism patients

(age: 12-29years)

36 Healthy controls

(age: 12-17 years)

No significant differences were found in hippocampus

Kosaka et al.35

2010

32 Autism patients

(age: 17–32 years)

32 Healthy controls

(age: 18–34years)

GM was decreased in right IFG, IPL, right posterior and anterior insula.

Doyle-Thomas et al.37

2013

27 Autism patients

(age: 7–39years)

25 Healthy controls

(age: 7–39years)

Surface area of the right cingulate cortex right isthmus, right parietal lobe, and left temporal lobe was increased

Sears et al.38

1999

35 Autism patients

(age: 12-29years)

36 Healthy controls

(age: 12-29years)

Caudate nucleus was significantly increased

Sato et al.39

2014

29 Autism patients

(age: 18-46years)

29 Healthy controls

(age: 21-43years)

Lack of non-verbal communication and social interaction. Also putamen volume was increased in high functioning autism patients

Sparks et al.40

2011

77 Autism patients

(age: 3-4 years)

25 TD controls

34 DD controls

(age: 3-4 years)

Left caudate, left and right striatum was increased. Left striatum, thalamus, right putamen were decreased.

Gaffney et al.41

1989

13 Autism patients

(age: 4-19years)

33 Healthy controls

(age: 4-19years)

No significant differences were found in basal ganglia

Tsatsanis et al.42

2003

12 HFA patients

(age: 11-38 years)

12 Healthy controls

(age: 11-38 years)

Thalamus volume was reduced in large brain group.

Herbert et al.43

2003

17 Autistic Control

(age: 7-11years)

15 Healthy controls

(age: 7-11years)

Thalamus volume was increased

Hardan et al.44

2006

40 HFA patients

(age: 9-43 years)

41 Healthy controls

(age: 8-45 years)

No significant differences were found in thalamus

Hardan et al.45

2008

18 Autism patients

(age: 8-15 years)

16 healthy controls

(age: 8-15 years)

Positive correlation found between TBV and thalamus

Gaffney et al.46

1987

18 Autism patients

(age: 5-12 years)

35 healthy controls

(age: 4-19 years)

Fourth ventricle was decreased

Egaas et al.47

1995

51 Autistic controls

(age: 3-42 years)

51 Healthy controls

(age: 3-42 years)

Corpus callosum was reduced

Saitoh et al.48

1995

33 Autism patients

(age: 6-42 years)

23 Healthy controls

(age: 6-42 years)

The midsagittal area of the corpus callosum was significantly decreased

Piven et al.49

1997

35 Autism patients

(age: 12-29 years)

36 Healthy controls

(age: 12-17 years)

Posterior and body corpus callosum was decreased

Hardan et al.50

2000

22 Autism patients

(age: 17-23 years)

22 Healthy controls

(age: 17-23 years)

Anterior corpus callosum was decreased

Freitag et al.51

2009

15 Autism patients

(mean age 17.5)

15 Healthy controls

(mean age 18.6)

Corpus callosum volume and thickness was decreased

Prigge et al.52

2013

68 Autism patients

(age: 3-36 years)

47 TD controls

(age: 3-36 years)

Corpus callosum volume was increased

Haznedar et al.53

1997

7 Autism patients

(age: 17-47 years)

7 Healthy controls

(age: 17-47 years)

Right anterior cingulate area 24’ was decreased and Cingulae area 24’ and 24 are metabolically not active

Rojas et al.55

2002

15 Autism patients

(age: 19-47 years)

15 Healthy controls

(age: 17-47 years)

Planum temporal left hemisphere was decreased

Herbert et al.56

2002

16Autism patients

(age: 7-11 years)

15 Healthy controls

(age: 7-11 years)

Right FLR was 27% enlarged and PLR was found with 25% leftward asymmetry

 


DD: developmentally delayed; FLR: frontal language region; HFA: high functioning of autism; IFG: inferior frontal gyrus; IPL: inferior parietal lobule; LFA: low functioning autism; PDD-NOS: Pervasive developmental disorders Not otherwise specified; PLR: posterior Language asymmetry; TD=typically developing; WADIC=wing autistic disorder interview checklist.

 

Cerebellum:

The primary functions of the cerebellum are motor learning, language, coordinating body movements and eye movements. Volumetric investigation of the cerebellum with autism control includes the vermis. Courchesne et al.24 examined 18 autistic controls with 12 healthy age-sex matched controls and reported cerebellar vermal lobules VI and VII are significantly smaller in autism controls. Courchesne et al.25 examined large group of autism controls and divided cerebellum vermis into two groups one is hyperplasia and another one is hypoplasia. In autism controls VI and VIII lobules of hyoplassia group are decreased and VI and VIII lobules of hyperplasia group VI and VIII lobules up are increased. In contrast, Piven et al.26 reported that no significant differences were found in cerebellar vermis VI and VII. In addition, the cerebellar hemispheres have been increased in autism controls compared to healthy controls27.

 

Amygdala:

Schumann et al.28 investigated amygdala abnormalities among four groups: Asperger yndrome, autism with and without mental retardation group and TD control group with the age between 7.5 years to 18.5 years. The increased left and right amygdala were found in autism with and without mentally retarded groups compared to other groups. Also, the amygdala volume was disproportionately increased with TBV in ASD children. Schumann et al.29 investigated large number of male and female autistic controls and reported that the right amygdala volume was increased in both genders. But only left amygdale volume was increased in female autistics. Interestingly, males with autism had shown significance difference in social and communication impairment compared to females with autism.

 

Hippocampus:

The hippocampus plays important role in spatial navigation and long term memory of human beings. Inconsistent results have been found in volumetric analysis of autism controls. Several researchers reported that hippocampus was decreased in autism controls30. Nicolson et al.31 examined 21 male subjects and 24 healthy age-sex matched controls and reported that right medial posterior hippocampus volume was significantly decreased and thickness of right medial anterior hippocampus was increased. In addition, Sparks et al.32 investigated hippocampus abnormalities in three groups: ASD, DD and TD groups. In ASD controls right and left hippocampus increased by 8.54% and 9.16% respectively. In contrast, few researchers have found no significant differences in hippocampus structure33,34.

 

Insula:

The insula is responsible for the functioning of perception, and cognitive. In autism controls decreased gray matter was found in right insula, inferior frontal gyrus, and inferior parietal lobule35. In addition, hypoactivity in right anteriorinsula was found in autism controls36. Doyle-Thomas et al.37 investigated 27 autism controls and 25 healthy age-sex matched controls between 7 to 39 years of age. Interestingly, they reported that surface area of the right insula and left isthmus was significantly increased in autism controls.

 

Basal ganglia:

The basal ganglia are associate with eye movements, procedural leaning, motivation, habit learning, cognition and emotion functions. The basal ganglia are divided into putamen, caudate nucleus, claustrum and globus pallidus. Sears et al.38 investigated 35 autism controls with 36 age-sex matched controls and reported that the caudate nucleus was significantly increased in autism controls. In addition, several researchers reported that left caudate nucleus, left and right putamen were significantly increased in autism controls39,40. Gaffney et al.41 examined 13 autistic and 33 age-matched controls and did not find significant differences in basal ganglia.

 

Thalamus:

The thalamus mainly involved in receiving and interpreting the information. Tsatsanis et al.42 investigated 12 high functioning autism controls with 12 healthy age matched controls. Samples are divided into two groups according to the volume of the brain, one is large brain group and the other one is small brain group. Decreased thalamic volume was found in large brain group ASD controls and No significant differences were found in small brain group ASD controls. The thalamus and TBV volume correlation were non-linear in autism controls. In addition, High functioning autism (HFA) controls found with increased thalamus volume43. In contrast, Hardan et al.44 investigated 40 HFA controls with 41 healthy controls and reported that no significant differences were found in right and left thalamus. After two years, Hardan et al.45 investigated by taking different age groups samples and found the positive correlation between TBV and thalamus volume both groups. 

 

Corpus Callosum:

The corpus callosum is used to integrate sensory, motor and cognitive performances of the brain. Mainly CC contains three sub regions posterior, anterior and body corpus callosum. Decreased fourth ventricle volume was found in autism controls46. Many researchers reported that the posterior CC was decreased in autism controls47,48. Piven et al.49 examined three CC regions (Posterior, anterior, and body CC) of the autistic patients and reported that no significant difference was observed in anterior CC. But decreased posterior and body CC were found in ASD patients. In contrast, Hardan et al.50 examined 22 non-mentally retarded autism individuals with 22 healthy matched controls by dividing CC cross sectional area into 7 sub regions and found that the decreased anterior CC region in ASD individuals. In addition, decreased area of CC and thickness of posterior was found in autism individuals51. Recently, Prigge et al.52 documented a decrease in anterior and body of the corpus callosum.

 

Cingulate gyrus:

The cingulate gyrus (CG) mainly involved in the functioning of language expression, coordinates sensory input with emotions, decision making, and material bonding. Initially CG was divided into three sub regions broadmann’s area 24’, 24 and 25. The volume of the right CG 24’ is small and remaining two areas are less active in ASD controls53. Korkmaz et al.54 reported that the volume of the right CG was reduced. In addition, glucose metabolism in both posterior and anterior CG was reduced. As of now only two researchers have been investigated CG abnormalities in autistic controls. 

 

Planum template:

The planum template (PT) involved in functioning of language and music. Rojas et al.55 investigated 15 autism controls with 15 healthy age-sex controls and reported significantly reduced left PT in autism subjects. The decreased left PT volume indicates an early neurodevelopmental abnormality in autism which impacts on language development. In contrast, Herbert et al.56 reported significantly increased left PT in autism controls compared to healthy controls. In addition, Knaus et al.57 investigated autism controls and TD controls by grouping them into two groups according to the age of the controls. First group is younger group with age 7 to 11 years and second group is older group with age 12 to 19 years. Interestingly, the enlarged left PT volume was found in older group of autism controls.

 

CONCLUSION:

This review congregates recent studies and the considerable common findings in ASD patients. The primary finding of enlarged head circumference in ASD was determined by sMRI studies. In ASDs, the brain volume rapidly increases in childhood and was followed by a plateau in brain development. But no change was found in adolescence. Consistent findings were found in the temporal lobe, frontal lobe, CSF, cortical white and gray matter volumes. In addition, several inconsistent findings were found in the basal ganglia, thalamus, amygdala, and hippocampus. In order to overcome the inconsistent findings, feature research should be done using large number of samples and 3T scanning.

 

ACKNOWLEDGEMENTS:

We thankfully acknowledge the participants who helped us to collect reliable and meaningful information about the study subjects.

 

CONFLICT OF INTEREST:

The authors declare that they have no conflict of interest.

 

REFERENCES:

1.      Kanner L. Autistic disturbances of affective contact. Nervous Child. 1943; 2: 217-250.

2.      Siper PM, Kolevzon A, Wang AT, Buxbaum JD, Tavassoli T. A clinician administrated observation and corresponding caregiver interview capturing DSM-5 sensory reactivity symptoms in children with ASD. Autism Research. 2017; 10(6): 1133-1140.

3.      Molloy CA, Murray DS, Akers R, Mitchell T, Manning-Courtney P. Use of the Autism diagnostic observation schedule (ADOS) in clinical setting. Autism. 2011; 15(2): 143-162.

4.      McDuffie A, Thurmanm AJ, Hangerman RJ, Abbeduto L. Symptoms of autism in males with fragile X Syndrome: A comparison to non syndromic ASD using current ADI-R scores. Journal of Autism Developmental Disorders. 2015; 45(7): 1925-1937.

5.      Nicpon MF, Miral S. A Comparison of DSM-IV TR and DSM-5 Diagnostic Classifications in the Clinical Diagnosis of Autistic Spectrum Disorder. Journal of Autism and Developmental Disorders. 2017; 47(1):101-109.

6.      Kim SH, Lord C. Restricted and repetitive behaviors in toddlers and preschoolers with autism spectrum disorders based on the Autism Diagnostic Observation Schedule (ADOS). Autism Research. 2010; 3(4): 162-173.

7.      Frigaux A, Evrard R, Lighezzolo-Alnot J. ADI-R and ADOS and the differential diagnosis of autism spectrum disorders: Interests and openings. Encephale. 2019; 45(5): 441-448.

8.      Hoshino Y, Manome T, Kaneko M, Yashima Y, Kumashiro H. Computed tomography of the brain in children with early infantile autism.  Folia psycharit Neural Jpn. 1984; 38(1): 33-43.

9.      Courchesne E, Hesselink JR, Jernigan TL, Courchesne YR. Abnormal neuroanatomy in a nonretired person with autism. Unusual findings with magnetic resonance imaging. Archives of neurology. 1987; 44(3): 335-341.  

10.   Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative diffusion tensor MRI. Journal of Magnetic Resonance. 1996; 213(2): 560-570. 

11.   Critchley HD, Daly EM, Billmore ET, Williams SC, Amelsvoort VT, Robertson DM, Rowe A, Phillips M, McAlonan G, Howlin p, Murphy DG. The functional neuroanatomy of social behavior: changes in cerebral blood flow when people with autistic disorder process facial expressions. Brain. 2000; 123(11): 2203-2212.

12.   Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Medicine. 2009; 6(7): 1-6.

13.   Stigler KA, McDonald BC, Saykin AJ, McDougle CJ. Structural and functional magnetic resonance imaging of autism spectrum disorders. Brian Research. 2010; 1380: 146-161.

14.   Alyward EH, Minshew NJ, Field K, Sparks BF, Singh N. Effects of age on brain volume and head circumference in autism. Neurology. 2002; 59(2): 175-183.

15.   Courchesne E, Karns CM, Davis HR, Ziccardi R, Carper RA, Tigue ZD, Chisum HJ, Moses P, Pierce K, Lord C, Lincoln AJ, Pizzo S, Schreibman L, Haas RH, Akshoomoff NA, Courchesne RY. Unusual brain growth patterns in early life in patients with autistic disorder: an MRI study.  Neurology. 2001; 57(2): 245–254.

16.   Hazlett HC, Poe M, Gerig G, Smith G, Provenzale J, Ross A, Gilmore J, Piven J. Magnetic resonance imaging and head circumference study of brain size in autism: birth through age 2 years. Arch. Gen. Psychiatry. 2005; 62(12): 1366–1376.

17.   Janet EL. Increased rate of head growth during infancy in autism. JAMA 2003; 290(3):393-394.

18.   Hazlett HC, Gu H, Gu, McKinstry RC, Shaw DW, Botteron KN, Dager SR, Styner M, Gerig C, Paterson SJ, Schultz RT, Estes AM,  Evans AC, Piven J. Brain volume findings in 6-month-old infants at high familial risk for autism. American Journal of Psychiatry. 2012; 169(6): 601-608.

19.   Redcay E, Courchesne E. When is the brain enlarged in autism? A meta-analysis of all brain size reports. Biological Psychiatry. 2005; 58(1): 1–9.

20.   Courchesne E, Carper R, Akshoomoff NA. Evidence of brain overgrowth in the first year of life in autism. JAMA 2003; 290(3): 337–344.

21.   Bonilha L, Cendes F, Rorden C. Eckert M, Dalgalarrondo P, Li LM, Steiner CE. Gray and white matter imbalance typical structural abnormality underlying classic autism? Brain and Development. 2008; 30(6): 396-401.

22.   Rojas DC, Peterson E, Winterrowd E, Reite ML, Rogers SJ, Tregellas JR. Regional gray matter volumetric changes in autism associated with social and repetitive behavior symptoms. BMC Psychiatry. 2006; 6(56): 1-13.

23.   Hazlett HC, Poe MD, Gerig G, Smith RG, Piven J. Cortical gray and white brain tissue volume in adolescents and adults with autism.  Biological Psychiatry 2006; 59(1): 1–6.

24.   Courchesne E, Yeung-Courchesne R, Press GA, Hesselink JR, Jernigan TL. Hypoplasia of cerebellar vermal lobules VI and VII in autism. N. Engl. J. Med. 1998; 318(21): 1349-54.

25.   Courchesne E, Saitoh O, Yeung-Courchesne R, Press GA, Lincoln AJ, Haas RH, Schreibman L. Abnormality of cerebellar vermian lobules VI and VII in patients with infantile autism: identification of hypoplastic and hyperplastic subgroups with MR imaging.  American Journal of Roentgenology. 1994; 162(1): 123–130.

26.   Piven J, Nehme E, Simon J, Barta P, Pearlson G, Folstein SE. Magnetic resonance imaging in autism: measurement of the cerebellum, pons, and fourth ventricle. Biological Psychiatry. 1992; 31(5): 491–504.

27.   Hardan AY, Minshew NJ, Harenski K, Keshavan MS. Posterior fossa magnetic resonance imaging in autism.  Journal of the American Academy of child and Adolescent Psychiatry. 2001; 40(6): 666-672.

28.   Schumann CM, Hamstra J, Goodlin-Jones BL, Lotspeich LJ, Kwon H, Buonocore MH, Lammers CR, Reiss AL, Amaral DG. The amygdala is enlarged in children but not adolescents with autism; the hippocampus is enlarged at all ages, Journal of Neuroscience. 2004; 24(28): 6392–6401.

29.   Schumann CM, Barnes CC, Lord C, Courchesne E. Amygdala enlargement in toddlers with autism related to severity of social and communication impairments. Biological Psychiatry. 2009; 66(10): 942–949.

30.   Aylward EH, Minshew NJ, Goldstein G, Honeycutt NA, Augustine AM, Yates KO, Barta PE, Pearlson GD. MRI volumes of amygdala and hippocampus in non-mentally retarded autistic adolescents and adults. Neurology. 1999; 53(9): 2145-2150.

31.   Nicolson R, DeVito TJ, Vidal CN, Sui Y, Hayashi KM, Drost DJ, Williamson PC, Rajakumar N, Toga AW, Thompson PM. Detection and mapping of hippocampal abnormalities in autism. Psychiatry Research. 2006; 148(1): 11–21.

32.   Sparks BF, Friedman SD, Shaw DW, Aylward EH, Echelard D, Artru DD, Maravilla KR, Giedd JN, Munson J, Dawson G, Dager SR. Brain structural abnormalities in young children with autism spectrum disorder. Neurology. 2002; 59(2): 184-192.

33.   Bigler ED, Tate DF, Neeley ES, Wolfson LJ, Miller MJ, Rice SA, Cleavinger H, Anderson C, Coon H, Ozonoff S, Johnson M, Dinh E, Lu J, McMahon W, Lainhart JE. Temporal lobe, autism, and macrocephaly. American Journal of Neurology. 2003; 24(10): 2066–2076.

34.   Piven J, Bailey J, Ranson BJ, Arndt S. No difference in hippocampus volume detected on magnetic resonance imaging in autistic individuals. Journal of Autism Developmental Disorders. 1998; 28(2): 105–110.

35.   Kosaka H, Omori M, Munesue T, Ishitobi M, Matsumura Y, Takahashi T, Narita K, Murata T, Saito DN, Uchiyama H, Morita T, Kikuchi M, Mizukami K, Okazawa H, Sadato N, Wada Y. Smaller insula and inferior frontal volumes in young adults with pervasive developmental disorders. Neuroimage. 2010; 50(4): 1357–1363.

36.   Uddin LQ, Menon V. The anterior insula in autism: under-connected and under-examined. Neuroscience and Biobehavioral Reviews. 2009; 33(8): 1198–1203.

37.   Doyle-Tomas KA, Kushki A, Duerden EG, Taylor MJ, Lerch JP, Soorya LV, Wang AT, Fan J, Anagnostou E. The effect of diagnosis, age, and symptom severity on cortical surface area in the cingulate cortex and insula in autism spectrum disorders. Journal of child neurology. 2013; 28(6): 732–739.

38.   Sears LL, Vest C, Mohamed S, Bailey J, Ranson BJ, Piven J. An MRI study of the basal ganglia in autism. Progress in Neuro psychopharmacology and Biological Psychiatry. 1999; 23(4): 613–624.

39.   Sato W, Kubota Y, Kochiyama T, Uono S, Yoshimura S, Sawad R, Sakihama M, Toichi M. Increased putamen volume in adults with autism spectrum disorder. Frontiers in Human Neuroscience. 2014; 8(957): 1-6.

40.   Estes A, Shaw DW, Sparks BF, Friedman S, Friedman S, Giedd JN, Dawson G, Bryan M, Dager SR. Basal ganglia morphometry and repetitive behavior in young children with autism spectrum disorder. Autism Research. 2001; 4(3): 212-220.

41.   Gaffney GR, Kupernman S, Tsai LY, Minchin S. Forebrain structure in infantile autism. Journal of the American Academy of child and Adolescent Psychiatry. 1989; 28(4): 534-537.

42.   Tsatsanis KD, Rourke BP, Klin A, Volkmar FR, Cicchetti D, Schultz RT. Reduced thalamic volume in high-functioning individuals with autism.  Biological Psychiatry. 2003; 53(2): 121–129.

43.   Herbert MR, Ziegler DA, Deutsch CK, Brien LM, Lange N, Bakardjiev A, Hodgson J, Adrien KT, Steele S, Makris N, Kennedy D, Harris GJ, Caviness VS. Dissociations of cerebral cortex, subcortical and cerebral white matter volumes in autistic boys.  Brain. 2003; 126: 1182–1192.

44.   Hardan AY, Girgis RR, Adams J, Gilbert AR, Keshavan MS, Minshew NJ. Abnormal brain size effect on the thalamus in autism. Psychiatry Research. 2006; 147(2): 145–151.

45.   Hardan AY, Minshew NJ, Melhem NM, Srihari S, Jo B, Bansal R, Keshavan MS, Stanley JA. An MRI and proton spectroscopy study of the thalamus in children with autism. Psychiatry Res. 2008; 163(2): 97–105.

46.   Gaffney GR, Kuperman S, Tsai LY, Minchin S, Hassanein KM. Midsagittal magnetic resonance imaging of autism. British Journal of Psychiatry. 1987; 151(6): 831-833.

47.   Egaas B, Courchesne E, Saitoh O. Reduced size of corpus callosum in autism. Achieves of Neurology. 1995; 52(8): 794–801.

48.   Saitoh O, Courchesne E, Egaas B, Lincoln AJ, Schreibman L. Cross-sectional area of the posterior hippocampus in autistic patients with cerebellar and corpus callosum abnormalities. Neurology. 1995; 45(2): 317–324.

49.   Piven J, Bailey J, Ranson BJ, Arndt S. An MRI study of the corpus callosum in autism. American Journal of Psychiatry. 1997; 154(8): 1051–1056.

50.   Hardan AY, Minshew NJ, Keshavan MS. Corpus callosum size in autism. Neurology. 2000; 55(9): 1033–1036.

51.   Freitag CM, Luders E, Hulst HE, Srihari S, Jo B, Bansal R, Keshavan MS, Stanley JA. Total brain volume and corpus callosum size in medication-naive adolescents and young adults with autism spectrum disorder. Biological Psychiatry. 2009; 66(4): 316–319.

52.   Prigge MB. Lanege N, Bigler ED, Merlley TL, Neeley ES, Abildskov TJ, Froehlich AL, Nielsen JA, Cooperrider JA, Cariello AN, Ravichandran C, Alexander AL, Lainhart JE. Corpus Callosum Area in Children and Adults with Autism. Research in Autism Spectrum Disorders 2013; 7(2): 221-234.

53.   Haznedar MM, Buchsbaum MS, Metzger M, Solimando A, Spiegel-Cohen J, Hollander E. Anterior cingulate gyrus volume and glucose metabolism in autistic disorder. American Journal of Psychiatry. 1997; 154(8): 1047–1050.

54.   Korkmaz B, Benbir G, Demirbilek V. Migration abnormality in the left cingulate gyrus presenting with autistic disorder. Journal of Child Neurology. 2006; 21(7): 600–604.

55.   Rojas DC, Bawn SD, Benkers TL, Reite ML, Rogers SJ. Smaller left hemisphere planum temporale in adults with autistic disorder.  Neuroscience Letters. 2002; 328(3): 237–240.

56.   Herbert MR, Harris GJ, Adrien KT, Ziegler DA, Makris N, Kennedy DN, Lange NT, Chabris CF, Bakardjiev A, Hodgson J, Takeoka M, Tager-Flusberg H, Caviness VS.  Abnormal asymmetry in language association cortex in autism. Annals of Neurology. 2002; 52(5): 588–596.

57.   Knaus TA, Silver AM, Dominick KC, Schuring MD, Shaffer N, Lindgren KA, Joseph RM, Tager-Flusberg H. Age-related changes in the anatomy of language regions in autism spectrum disorder. Brain Imaging Behavior. 2009; 3(1): 51–63.

 

 

 

 

 

Received on 21.04.2020            Modified on 26.05.2020

Accepted on 23.06.2020         © RJPT All right reserved

Research J. Pharm. and Tech. 2021; 14(4):2341-2347.

DOI: 10.52711/0974-360X.2021.00413