What Progress Has Been Made With Brain Level Diagnosis In Adhd Flashcards

1
Q

What does the Prefrontal cortex do in terms of ADHD

A

Regulates and inhibits motor action

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2
Q

What does the basal ganglia do

A

Goal oriented action

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3
Q

What are the key brain area and networks involved in ADHD

A

Frontal-striatal network: frontal cortex, nucleus accumbens

Executive function network: PFC, supplementary motor, basal ganglia

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4
Q

What did Hogman (2017) do

A

Examined the grey matter structure in ADHD compared to TD

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5
Q

What did hogman (2017) find

A

Reduced cerebral volume
Prefrontal volume
Striatum volume

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6
Q

What did hogman (2017) show

A

Progress for brain level diagnoses as brain volumes differ in ADHD so we could diagnose on basis of brain volume in areas associated to ADHD

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7
Q

What is the point of hogman (2017) in terms of brain level diagnosis

A

May be able to diagnose based on grey matter

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8
Q

What’s a critique of hogman (2017)

A

Don’t know how validly we can catergorise based on grey matter volume alone

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9
Q

What did Hart (2013) do

A

Measured people’s activity levels in a go/no go task

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10
Q

What did hart (2013) find?

A

Decreased activation for inhibitoion in inferior frontal, SM and AC
Decreased activation for attention in basal ganglia and DLPFC

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11
Q

What does Hart (2013) show

A

If we know brain activity differs in people with ADHD, we can use brain activity as a basis for diagnoses

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12
Q

What’s a critique/ support

A

Further studies looking at FMRI scans in ADHD people show we can diagnose on the basis of their findings with 80% accuracy

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13
Q

What does Gau (2015) do

A

Used DTI to reconstruct 4 main front is Tristan tract

Used ADHD adults and matched controls

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14
Q

What does Gau (2015) find

A

All 4 tracts showed alter white matter integrity ( this demonstrates poorer connectivity ) in the ADHD group

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15
Q

What does Gau’s (2015) finding show

A

If differences in connectivity for ADHD and normal people are show a, it suggests a bio marker

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16
Q

Gau (2015) support and critique

A

Park 2016 - classification based on connectivity has 91% accuracy
This specific study doesn’t account for subtypes of ADGD and 32 is a small sample