Review Article
The Human Frontal Lobes and Frontal Network Systems: An Evolutionary, Clinical, and Treatment Perspective
Table 14
Anatomical and functional imaging categories and examples of major disease entities associated with frontal network syndromes [
31–
34].
| (A) MRI multimodality | | MRI (routine series) | | T1/T2, FLAIR, GRE, and MRA to detect degree of concomitant vascular disease, atrophy pattern, and other secondary pathologies | | MRI—DTI | | Fiber tract pathology especially in traumatic brain injury, multiple sclerosis | | MRI quantitative atrophy estimation | | Different patterns of the major dementia syndromes (Seeley et al. [20])
| | MRI—perfusion | | Perfusion as a reflection of hypometabolism, similar to SPECT (perfusion) and PET (metabolism) patterns of abnormality | | MR spectroscopy | | Biochemical analysis of NAA, choline, lactate particularly useful in brain tumor diagnosis | | (B) SPECT | | Hypoperfusion (in vascular or hypometabolism) | | Hyperperfusion for example with ictal foci. | | (C) PET brain | | Hypometabolic patterns in different dementias | | (D) Intrinsic state connectivity maps | | Default mode | | Salience network | | Attentional network | | Visual network | | Auditory network | | (E) Quantitative EEG and MEG | | AD reduced connectivity of alpha and beta in frontoparietal and frontotemporal regions | | Parkinson’s increased connectivity of alpha and beta locally and globally | | DLBD reduced connectivity alpha range locally and globally. | |
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Adapted and modified from [31, 32].
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